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Date/TimeTournamemntOpponentPoint Elapsed SecondsLineOur Score - End of PointTheir Score - End of PointEvent TypeActionPasser...Player 18Player 19Player 20Player 21Player 22Player 23Player 24Player 25Player 26Player 27
0 2014-06-15 12:09 Cackalackee Pheonix 7 O 1 0 Offense Goal Wootie...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
1 2014-06-15 12:09 Cackalackee Pheonix 51 D 1 1 Defense Pull NaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
2 2014-06-15 12:09 Cackalackee Pheonix 51 D 1 1 Defense Goal NaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
3 2014-06-15 12:09 Cackalackee Pheonix 102 O 1 2 Offense Catch Wootie...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
4 2014-06-15 12:09 Cackalackee Pheonix 102 O 1 2 Offense Catch Sam...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
5 2014-06-15 12:09 Cackalackee Pheonix 102 O 1 2 Offense Catch AD...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
6 2014-06-15 12:09 Cackalackee Pheonix 102 O 1 2 Offense Catch Wootie...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
7 2014-06-15 12:09 Cackalackee Pheonix 102 O 1 2 Offense Catch Sam...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
8 2014-06-15 12:09 Cackalackee Pheonix 102 O 1 2 Offense Catch Haley...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
9 2014-06-15 12:09 Cackalackee Pheonix 102 O 1 2 Offense Throwaway Sam...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
10 2014-06-15 12:09 Cackalackee Pheonix 102 O 1 2 Defense Goal NaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
11 2014-06-15 12:09 Cackalackee Pheonix 39 O 2 2 Offense Catch Haley...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
12 2014-06-15 12:09 Cackalackee Pheonix 39 O 2 2 Offense Catch Wootie...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
13 2014-06-15 12:09 Cackalackee Pheonix 39 O 2 2 Offense Catch Meg...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
14 2014-06-15 12:09 Cackalackee Pheonix 39 O 2 2 Offense Catch Angela...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
15 2014-06-15 12:09 Cackalackee Pheonix 39 O 2 2 Offense Catch Wootie...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
16 2014-06-15 12:09 Cackalackee Pheonix 39 O 2 2 Offense Catch Meg...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
17 2014-06-15 12:09 Cackalackee Pheonix 39 O 2 2 Offense Goal Puppy...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
18 2014-06-15 12:09 Cackalackee Pheonix 99 D 2 3 Defense Pull NaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
19 2014-06-15 12:09 Cackalackee Pheonix 99 D 2 3 Defense D NaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
20 2014-06-15 12:09 Cackalackee Pheonix 99 D 2 3 Offense Throwaway Angela...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
21 2014-06-15 12:09 Cackalackee Pheonix 99 D 2 3 Defense Goal NaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
22 2014-06-15 12:09 Cackalackee Pheonix 33 O 3 3 Offense Catch Sam...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
23 2014-06-15 12:09 Cackalackee Pheonix 33 O 3 3 Offense Catch Wootie...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
24 2014-06-15 12:09 Cackalackee Pheonix 33 O 3 3 Offense Catch Puppy...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
25 2014-06-15 12:09 Cackalackee Pheonix 33 O 3 3 Offense Goal Wootie...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
26 2014-06-15 12:09 Cackalackee Pheonix 6 D 3 4 Defense Pull NaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
27 2014-06-15 12:09 Cackalackee Pheonix 6 D 3 4 Defense Goal NaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
28 2014-06-15 12:09 Cackalackee Pheonix 81 O 4 4 Offense Catch AD...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
29 2014-06-15 12:09 Cackalackee Pheonix 81 O 4 4 Offense Throwaway Angela...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
..................................................................
2217 2014-06-14 10:00 Cackalackee Jackwagon 131 O 13 6 Defense Throwaway NaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
2218 2014-06-14 10:00 Cackalackee Jackwagon 131 O 13 6 Offense Catch Angela...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
2219 2014-06-14 10:00 Cackalackee Jackwagon 131 O 13 6 Offense Goal Hewey...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
2220 2014-06-14 10:00 Cackalackee Jackwagon 45 D 14 6 Defense Pull NaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
2221 2014-06-14 10:00 Cackalackee Jackwagon 45 D 14 6 Defense Throwaway NaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
2222 2014-06-14 10:00 Cackalackee Jackwagon 45 D 14 6 Offense Catch Wootie...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
2223 2014-06-14 10:00 Cackalackee Jackwagon 45 D 14 6 Offense Catch Red...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
2224 2014-06-14 10:00 Cackalackee Jackwagon 45 D 14 6 Offense Catch Snow...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
2225 2014-06-14 10:00 Cackalackee Jackwagon 45 D 14 6 Offense Goal Sam...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
2226 2014-06-14 10:00 Cackalackee Jackwagon 48 D 14 7 Defense Pull NaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
2227 2014-06-14 10:00 Cackalackee Jackwagon 48 D 14 7 Defense Throwaway NaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
2228 2014-06-14 10:00 Cackalackee Jackwagon 48 D 14 7 Offense Throwaway Lina...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
2229 2014-06-14 10:00 Cackalackee Jackwagon 48 D 14 7 Defense Goal NaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
2230 2014-06-14 10:00 Cackalackee Jackwagon 171 O 15 7 Offense Throwaway Wootie...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
2231 2014-06-14 10:00 Cackalackee Jackwagon 171 O 15 7 Defense Throwaway NaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
2232 2014-06-14 10:00 Cackalackee Jackwagon 171 O 15 7 Offense Catch Wootie...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
2233 2014-06-14 10:00 Cackalackee Jackwagon 171 O 15 7 Offense Catch Turtle...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
2234 2014-06-14 10:00 Cackalackee Jackwagon 171 O 15 7 Offense Catch Angela...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
2235 2014-06-14 10:00 Cackalackee Jackwagon 171 O 15 7 Offense Throwaway Mira...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
2236 2014-06-14 10:00 Cackalackee Jackwagon 171 O 15 7 Defense Throwaway NaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
2237 2014-06-14 10:00 Cackalackee Jackwagon 171 O 15 7 Offense Catch Turtle...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
2238 2014-06-14 10:00 Cackalackee Jackwagon 171 O 15 7 Offense Catch Nubby...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
2239 2014-06-14 10:00 Cackalackee Jackwagon 171 O 15 7 Offense Catch Angela...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
2240 2014-06-14 10:00 Cackalackee Jackwagon 171 O 15 7 Offense Catch Nubby...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
2241 2014-06-14 10:00 Cackalackee Jackwagon 171 O 15 7 Offense Catch Turtle...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
2242 2014-06-14 10:00 Cackalackee Jackwagon 171 O 15 7 Offense Throwaway Angela...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
2243 2014-06-14 10:00 Cackalackee Jackwagon 171 O 15 7 Defense Throwaway NaN...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
2244 2014-06-14 10:00 Cackalackee Jackwagon 171 O 15 7 Offense Catch Wootie...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
2245 2014-06-14 10:00 Cackalackee Jackwagon 171 O 15 7 Offense Catch Angela...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
2246 2014-06-14 10:00 Cackalackee Jackwagon 171 O 15 7 Offense Goal Nubby...NaNNaNNaNNaNNaNNaNNaNNaNNaNNaN
\n", "

2247 rows \u00d7 41 columns

\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 329, "text": [ " Date/Time Tournamemnt Opponent Point Elapsed Seconds Line \\\n", "0 2014-06-15 12:09 Cackalackee Pheonix 7 O \n", "1 2014-06-15 12:09 Cackalackee Pheonix 51 D \n", "2 2014-06-15 12:09 Cackalackee Pheonix 51 D \n", "3 2014-06-15 12:09 Cackalackee Pheonix 102 O \n", "4 2014-06-15 12:09 Cackalackee Pheonix 102 O \n", "5 2014-06-15 12:09 Cackalackee Pheonix 102 O \n", "6 2014-06-15 12:09 Cackalackee Pheonix 102 O \n", "7 2014-06-15 12:09 Cackalackee Pheonix 102 O \n", "8 2014-06-15 12:09 Cackalackee Pheonix 102 O \n", "9 2014-06-15 12:09 Cackalackee Pheonix 102 O \n", "10 2014-06-15 12:09 Cackalackee Pheonix 102 O \n", "11 2014-06-15 12:09 Cackalackee Pheonix 39 O \n", "12 2014-06-15 12:09 Cackalackee Pheonix 39 O \n", "13 2014-06-15 12:09 Cackalackee Pheonix 39 O \n", "14 2014-06-15 12:09 Cackalackee Pheonix 39 O \n", "15 2014-06-15 12:09 Cackalackee Pheonix 39 O \n", "16 2014-06-15 12:09 Cackalackee Pheonix 39 O \n", "17 2014-06-15 12:09 Cackalackee Pheonix 39 O \n", "18 2014-06-15 12:09 Cackalackee Pheonix 99 D \n", "19 2014-06-15 12:09 Cackalackee Pheonix 99 D \n", "20 2014-06-15 12:09 Cackalackee Pheonix 99 D \n", "21 2014-06-15 12:09 Cackalackee Pheonix 99 D \n", "22 2014-06-15 12:09 Cackalackee Pheonix 33 O \n", "23 2014-06-15 12:09 Cackalackee Pheonix 33 O \n", "24 2014-06-15 12:09 Cackalackee Pheonix 33 O \n", "25 2014-06-15 12:09 Cackalackee Pheonix 33 O \n", "26 2014-06-15 12:09 Cackalackee Pheonix 6 D \n", "27 2014-06-15 12:09 Cackalackee Pheonix 6 D \n", "28 2014-06-15 12:09 Cackalackee Pheonix 81 O \n", "29 2014-06-15 12:09 Cackalackee Pheonix 81 O \n", "... ... ... ... ... ... \n", "2217 2014-06-14 10:00 Cackalackee Jackwagon 131 O \n", "2218 2014-06-14 10:00 Cackalackee Jackwagon 131 O \n", "2219 2014-06-14 10:00 Cackalackee Jackwagon 131 O \n", "2220 2014-06-14 10:00 Cackalackee Jackwagon 45 D \n", "2221 2014-06-14 10:00 Cackalackee Jackwagon 45 D \n", "2222 2014-06-14 10:00 Cackalackee Jackwagon 45 D \n", "2223 2014-06-14 10:00 Cackalackee Jackwagon 45 D \n", "2224 2014-06-14 10:00 Cackalackee Jackwagon 45 D \n", "2225 2014-06-14 10:00 Cackalackee Jackwagon 45 D \n", "2226 2014-06-14 10:00 Cackalackee Jackwagon 48 D \n", "2227 2014-06-14 10:00 Cackalackee Jackwagon 48 D \n", "2228 2014-06-14 10:00 Cackalackee Jackwagon 48 D \n", "2229 2014-06-14 10:00 Cackalackee Jackwagon 48 D \n", "2230 2014-06-14 10:00 Cackalackee Jackwagon 171 O \n", "2231 2014-06-14 10:00 Cackalackee Jackwagon 171 O \n", "2232 2014-06-14 10:00 Cackalackee Jackwagon 171 O \n", "2233 2014-06-14 10:00 Cackalackee Jackwagon 171 O \n", "2234 2014-06-14 10:00 Cackalackee Jackwagon 171 O \n", "2235 2014-06-14 10:00 Cackalackee Jackwagon 171 O \n", "2236 2014-06-14 10:00 Cackalackee Jackwagon 171 O \n", "2237 2014-06-14 10:00 Cackalackee Jackwagon 171 O \n", "2238 2014-06-14 10:00 Cackalackee Jackwagon 171 O \n", "2239 2014-06-14 10:00 Cackalackee Jackwagon 171 O \n", "2240 2014-06-14 10:00 Cackalackee Jackwagon 171 O \n", "2241 2014-06-14 10:00 Cackalackee Jackwagon 171 O \n", "2242 2014-06-14 10:00 Cackalackee Jackwagon 171 O \n", "2243 2014-06-14 10:00 Cackalackee Jackwagon 171 O \n", "2244 2014-06-14 10:00 Cackalackee Jackwagon 171 O \n", "2245 2014-06-14 10:00 Cackalackee Jackwagon 171 O \n", "2246 2014-06-14 10:00 Cackalackee Jackwagon 171 O \n", "\n", " Our Score - End of Point Their Score - End of Point Event Type \\\n", "0 1 0 Offense \n", "1 1 1 Defense \n", "2 1 1 Defense \n", "3 1 2 Offense \n", "4 1 2 Offense \n", "5 1 2 Offense \n", "6 1 2 Offense \n", "7 1 2 Offense \n", "8 1 2 Offense \n", "9 1 2 Offense \n", "10 1 2 Defense \n", "11 2 2 Offense \n", "12 2 2 Offense \n", "13 2 2 Offense \n", "14 2 2 Offense \n", "15 2 2 Offense \n", "16 2 2 Offense \n", "17 2 2 Offense \n", "18 2 3 Defense \n", "19 2 3 Defense \n", "20 2 3 Offense \n", "21 2 3 Defense \n", "22 3 3 Offense \n", "23 3 3 Offense \n", "24 3 3 Offense \n", "25 3 3 Offense \n", "26 3 4 Defense \n", "27 3 4 Defense \n", "28 4 4 Offense \n", "29 4 4 Offense \n", "... ... ... ... \n", "2217 13 6 Defense \n", "2218 13 6 Offense \n", "2219 13 6 Offense \n", "2220 14 6 Defense \n", "2221 14 6 Defense \n", "2222 14 6 Offense \n", "2223 14 6 Offense \n", "2224 14 6 Offense \n", "2225 14 6 Offense \n", "2226 14 7 Defense \n", "2227 14 7 Defense \n", "2228 14 7 Offense \n", "2229 14 7 Defense \n", "2230 15 7 Offense \n", "2231 15 7 Defense \n", "2232 15 7 Offense \n", "2233 15 7 Offense \n", "2234 15 7 Offense \n", "2235 15 7 Offense \n", "2236 15 7 Defense \n", "2237 15 7 Offense \n", "2238 15 7 Offense \n", "2239 15 7 Offense \n", "2240 15 7 Offense \n", "2241 15 7 Offense \n", "2242 15 7 Offense \n", "2243 15 7 Defense \n", "2244 15 7 Offense \n", "2245 15 7 Offense \n", "2246 15 7 Offense \n", "\n", " Action Passer ... Player 18 Player 19 Player 20 Player 21 \\\n", "0 Goal Wootie ... NaN NaN NaN NaN \n", "1 Pull NaN ... NaN NaN NaN NaN \n", "2 Goal NaN ... NaN NaN NaN NaN \n", "3 Catch Wootie ... NaN NaN NaN NaN \n", "4 Catch Sam ... NaN NaN NaN NaN \n", "5 Catch AD ... NaN NaN NaN NaN \n", "6 Catch Wootie ... NaN NaN NaN NaN \n", "7 Catch Sam ... NaN NaN NaN NaN \n", "8 Catch Haley ... NaN NaN NaN NaN \n", "9 Throwaway Sam ... NaN NaN NaN NaN \n", "10 Goal NaN ... NaN NaN NaN NaN \n", "11 Catch Haley ... NaN NaN NaN NaN \n", "12 Catch Wootie ... NaN NaN NaN NaN \n", "13 Catch Meg ... NaN NaN NaN NaN \n", "14 Catch Angela ... NaN NaN NaN NaN \n", "15 Catch Wootie ... NaN NaN NaN NaN \n", "16 Catch Meg ... NaN NaN NaN NaN \n", "17 Goal Puppy ... NaN NaN NaN NaN \n", "18 Pull NaN ... NaN NaN NaN NaN \n", "19 D NaN ... NaN NaN NaN NaN \n", "20 Throwaway Angela ... NaN NaN NaN NaN \n", "21 Goal NaN ... NaN NaN NaN NaN \n", "22 Catch Sam ... NaN NaN NaN NaN \n", "23 Catch Wootie ... NaN NaN NaN NaN \n", "24 Catch Puppy ... NaN NaN NaN NaN \n", "25 Goal Wootie ... NaN NaN NaN NaN \n", "26 Pull NaN ... NaN NaN NaN NaN \n", "27 Goal NaN ... NaN NaN NaN NaN \n", "28 Catch AD ... NaN NaN NaN NaN \n", "29 Throwaway Angela ... NaN NaN NaN NaN \n", "... ... ... ... ... ... ... ... \n", "2217 Throwaway NaN ... NaN NaN NaN NaN \n", "2218 Catch Angela ... NaN NaN NaN NaN \n", "2219 Goal Hewey ... NaN NaN NaN NaN \n", "2220 Pull NaN ... NaN NaN NaN NaN \n", "2221 Throwaway NaN ... NaN NaN NaN NaN \n", "2222 Catch Wootie ... NaN NaN NaN NaN \n", "2223 Catch Red ... NaN NaN NaN NaN \n", "2224 Catch Snow ... NaN NaN NaN NaN \n", "2225 Goal Sam ... NaN NaN NaN NaN \n", "2226 Pull NaN ... NaN NaN NaN NaN \n", "2227 Throwaway NaN ... NaN NaN NaN NaN \n", "2228 Throwaway Lina ... NaN NaN NaN NaN \n", "2229 Goal NaN ... NaN NaN NaN NaN \n", "2230 Throwaway Wootie ... NaN NaN NaN NaN \n", "2231 Throwaway NaN ... NaN NaN NaN NaN \n", "2232 Catch Wootie ... NaN NaN NaN NaN \n", "2233 Catch Turtle ... NaN NaN NaN NaN \n", "2234 Catch Angela ... NaN NaN NaN NaN \n", "2235 Throwaway Mira ... NaN NaN NaN NaN \n", "2236 Throwaway NaN ... NaN NaN NaN NaN \n", "2237 Catch Turtle ... NaN NaN NaN NaN \n", "2238 Catch Nubby ... NaN NaN NaN NaN \n", "2239 Catch Angela ... NaN NaN NaN NaN \n", "2240 Catch Nubby ... NaN NaN NaN NaN \n", "2241 Catch Turtle ... NaN NaN NaN NaN \n", "2242 Throwaway Angela ... NaN NaN NaN NaN \n", "2243 Throwaway NaN ... NaN NaN NaN NaN \n", "2244 Catch Wootie ... NaN NaN NaN NaN \n", "2245 Catch Angela ... NaN NaN NaN NaN \n", "2246 Goal Nubby ... NaN NaN NaN NaN \n", "\n", " Player 22 Player 23 Player 24 Player 25 Player 26 Player 27 \n", "0 NaN NaN NaN NaN NaN NaN \n", "1 NaN NaN NaN NaN NaN NaN \n", "2 NaN NaN NaN NaN NaN NaN \n", "3 NaN NaN NaN NaN NaN NaN \n", "4 NaN NaN NaN NaN NaN NaN \n", "5 NaN NaN NaN NaN NaN NaN \n", "6 NaN NaN NaN NaN NaN NaN \n", "7 NaN NaN NaN NaN NaN NaN \n", "8 NaN NaN NaN NaN NaN NaN \n", "9 NaN NaN NaN NaN NaN NaN \n", "10 NaN NaN NaN NaN NaN NaN \n", "11 NaN NaN NaN NaN NaN NaN \n", "12 NaN NaN NaN NaN NaN NaN \n", "13 NaN NaN NaN NaN NaN NaN \n", "14 NaN NaN NaN NaN NaN NaN \n", "15 NaN NaN NaN NaN NaN NaN \n", "16 NaN NaN NaN NaN NaN NaN \n", "17 NaN NaN NaN NaN NaN NaN \n", "18 NaN NaN NaN NaN NaN NaN \n", "19 NaN NaN NaN NaN NaN NaN \n", "20 NaN NaN NaN NaN NaN NaN \n", "21 NaN NaN NaN NaN NaN NaN \n", "22 NaN NaN NaN NaN NaN NaN \n", "23 NaN NaN NaN NaN NaN NaN \n", "24 NaN NaN NaN NaN NaN NaN \n", "25 NaN NaN NaN NaN NaN NaN \n", "26 NaN NaN NaN NaN NaN NaN \n", "27 NaN NaN NaN NaN NaN NaN \n", "28 NaN NaN NaN NaN NaN NaN \n", "29 NaN NaN NaN NaN NaN NaN \n", "... ... ... ... ... ... ... \n", "2217 NaN NaN NaN NaN NaN NaN \n", "2218 NaN NaN NaN NaN NaN NaN \n", "2219 NaN NaN NaN NaN NaN NaN \n", "2220 NaN NaN NaN NaN NaN NaN \n", "2221 NaN NaN NaN NaN NaN NaN \n", "2222 NaN NaN NaN NaN NaN NaN \n", "2223 NaN NaN NaN NaN NaN NaN \n", "2224 NaN NaN NaN NaN NaN NaN \n", "2225 NaN NaN NaN NaN NaN NaN \n", "2226 NaN NaN NaN NaN NaN NaN \n", "2227 NaN NaN NaN NaN NaN NaN \n", "2228 NaN NaN NaN NaN NaN NaN \n", "2229 NaN NaN NaN NaN NaN NaN \n", "2230 NaN NaN NaN NaN NaN NaN \n", "2231 NaN NaN NaN NaN NaN NaN \n", "2232 NaN NaN NaN NaN NaN NaN \n", "2233 NaN NaN NaN NaN NaN NaN \n", "2234 NaN NaN NaN NaN NaN NaN \n", "2235 NaN NaN NaN NaN NaN NaN \n", "2236 NaN NaN NaN NaN NaN NaN \n", "2237 NaN NaN NaN NaN NaN NaN \n", "2238 NaN NaN NaN NaN NaN NaN \n", "2239 NaN NaN NaN NaN NaN NaN \n", "2240 NaN NaN NaN NaN NaN NaN \n", "2241 NaN NaN NaN NaN NaN NaN \n", "2242 NaN NaN NaN NaN NaN NaN \n", "2243 NaN NaN NaN NaN NaN NaN \n", "2244 NaN NaN NaN NaN NaN NaN \n", "2245 NaN NaN NaN NaN NaN NaN \n", "2246 NaN NaN NaN NaN NaN NaN \n", "\n", "[2247 rows x 41 columns]" ] } ], "prompt_number": 329 }, { "cell_type": "code", "collapsed": false, "input": [ "del ultimate_raw_data[\"Date/Time\"]" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 330 }, { "cell_type": "code", "collapsed": false, "input": [ "ultimate_raw_data.count()" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 331, "text": [ "Tournamemnt 2247\n", "Opponent 2247\n", "Point Elapsed Seconds 2247\n", "Line 2247\n", "Our Score - End of Point 2247\n", "Their Score - End of Point 2247\n", "Event Type 2247\n", "Action 2247\n", "Passer 1746\n", "Receiver 1746\n", "Defender 501\n", "Hang Time (secs) 140\n", "Player 0 2247\n", "Player 1 2247\n", "Player 2 2247\n", "Player 3 2246\n", "Player 4 2246\n", "Player 5 2246\n", "Player 6 2235\n", "Player 7 0\n", "Player 8 0\n", "Player 9 0\n", "Player 10 0\n", "Player 11 0\n", "Player 12 0\n", "Player 13 0\n", "Player 14 0\n", "Player 15 0\n", "Player 16 0\n", "Player 17 0\n", "Player 18 0\n", "Player 19 0\n", "Player 20 0\n", "Player 21 0\n", "Player 22 0\n", "Player 23 0\n", "Player 24 0\n", "Player 25 0\n", "Player 26 0\n", "Player 27 0\n", "dtype: int64" ] } ], "prompt_number": 331 }, { "cell_type": "code", "collapsed": false, "input": [ "for i in range(7,28):\n", " this_label = \"Player \"+str(i)\n", " del ultimate_raw_data[this_label]" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 332 }, { "cell_type": "code", "collapsed": false, "input": [ "ultimate_raw_data" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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TournamemntOpponentPoint Elapsed SecondsLineOur Score - End of PointTheir Score - End of PointEvent TypeActionPasserReceiverDefenderHang Time (secs)Player 0Player 1Player 2Player 3Player 4Player 5Player 6
0 Cackalackee Pheonix 7 O 1 0 Offense Goal Wootie Meg NaN NaN Wootie Annie Meg NaN NaN NaN NaN
1 Cackalackee Pheonix 51 D 1 1 Defense Pull NaN NaN Angela 5.776 Angela Red Cate Nubby Sam Allee Paige
2 Cackalackee Pheonix 51 D 1 1 Defense Goal NaN NaN Anonymous NaN Angela Red Cate Nubby Sam Allee Paige
3 Cackalackee Pheonix 102 O 1 2 Offense Catch Wootie Sam NaN NaN Wootie AD Red Sam Haley Turtle Hewey
4 Cackalackee Pheonix 102 O 1 2 Offense Catch Sam AD NaN NaN Wootie AD Red Sam Haley Turtle Hewey
5 Cackalackee Pheonix 102 O 1 2 Offense Catch AD Wootie NaN NaN Wootie AD Red Sam Haley Turtle Hewey
6 Cackalackee Pheonix 102 O 1 2 Offense Catch Wootie Sam NaN NaN Wootie AD Red Sam Haley Turtle Hewey
7 Cackalackee Pheonix 102 O 1 2 Offense Catch Sam Haley NaN NaN Wootie AD Red Sam Haley Turtle Hewey
8 Cackalackee Pheonix 102 O 1 2 Offense Catch Haley Sam NaN NaN Wootie AD Red Sam Haley Turtle Hewey
9 Cackalackee Pheonix 102 O 1 2 Offense Throwaway Sam Anonymous NaN NaN Wootie AD Red Sam Haley Turtle Hewey
10 Cackalackee Pheonix 102 O 1 2 Defense Goal NaN NaN Anonymous NaN Wootie AD Red Sam Haley Turtle Hewey
11 Cackalackee Pheonix 39 O 2 2 Offense Catch Haley Wootie NaN NaN Wootie Puppy Angela Lina Phebe Meg Haley
12 Cackalackee Pheonix 39 O 2 2 Offense Catch Wootie Meg NaN NaN Wootie Puppy Angela Lina Phebe Meg Haley
13 Cackalackee Pheonix 39 O 2 2 Offense Catch Meg Angela NaN NaN Wootie Puppy Angela Lina Phebe Meg Haley
14 Cackalackee Pheonix 39 O 2 2 Offense Catch Angela Wootie NaN NaN Wootie Puppy Angela Lina Phebe Meg Haley
15 Cackalackee Pheonix 39 O 2 2 Offense Catch Wootie Meg NaN NaN Wootie Puppy Angela Lina Phebe Meg Haley
16 Cackalackee Pheonix 39 O 2 2 Offense Catch Meg Puppy NaN NaN Wootie Puppy Angela Lina Phebe Meg Haley
17 Cackalackee Pheonix 39 O 2 2 Offense Goal Puppy Lina NaN NaN Wootie Puppy Angela Lina Phebe Meg Haley
18 Cackalackee Pheonix 99 D 2 3 Defense Pull NaN NaN Angela 3.797 Angela AD Cate Snow Allee Kate Mira
19 Cackalackee Pheonix 99 D 2 3 Defense D NaN NaN Angela NaN Angela AD Cate Snow Allee Kate Mira
20 Cackalackee Pheonix 99 D 2 3 Offense Throwaway Angela Anonymous NaN NaN Angela AD Cate Snow Allee Kate Mira
21 Cackalackee Pheonix 99 D 2 3 Defense Goal NaN NaN Anonymous NaN Angela AD Cate Snow Allee Kate Mira
22 Cackalackee Pheonix 33 O 3 3 Offense Catch Sam Wootie NaN NaN Wootie Puppy Red Sam Turtle Mira Hewey
23 Cackalackee Pheonix 33 O 3 3 Offense Catch Wootie Puppy NaN NaN Wootie Puppy Red Sam Turtle Mira Hewey
24 Cackalackee Pheonix 33 O 3 3 Offense Catch Puppy Wootie NaN NaN Wootie Puppy Red Sam Turtle Mira Hewey
25 Cackalackee Pheonix 33 O 3 3 Offense Goal Wootie Mira NaN NaN Wootie Puppy Red Sam Turtle Mira Hewey
26 Cackalackee Pheonix 6 D 3 4 Defense Pull NaN NaN Red 4.908 Wootie Puppy Red Sam Turtle Mira Hewey
27 Cackalackee Pheonix 6 D 3 4 Defense Goal NaN NaN Anonymous NaN Wootie Puppy Red Sam Turtle Mira Hewey
28 Cackalackee Pheonix 81 O 4 4 Offense Catch AD Angela NaN NaN Angela AD Cate Nubby Allee Paige Kate
29 Cackalackee Pheonix 81 O 4 4 Offense Throwaway Angela Anonymous NaN NaN Angela AD Cate Nubby Allee Paige Kate
............................................................
2217 Cackalackee Jackwagon 131 O 13 6 Defense Throwaway NaN NaN Anonymous NaN Angela Cate Nubby Paige Turtle Mira Hewey
2218 Cackalackee Jackwagon 131 O 13 6 Offense Catch Angela Hewey NaN NaN Angela Cate Nubby Paige Turtle Mira Hewey
2219 Cackalackee Jackwagon 131 O 13 6 Offense Goal Hewey Mira NaN NaN Angela Cate Nubby Paige Turtle Mira Hewey
2220 Cackalackee Jackwagon 45 D 14 6 Defense Pull NaN NaN Wootie 4.380 Wootie Red Snow Sam Kate Phebe Meg
2221 Cackalackee Jackwagon 45 D 14 6 Defense Throwaway NaN NaN Anonymous NaN Wootie Red Snow Sam Kate Phebe Meg
2222 Cackalackee Jackwagon 45 D 14 6 Offense Catch Wootie Red NaN NaN Wootie Red Snow Sam Kate Phebe Meg
2223 Cackalackee Jackwagon 45 D 14 6 Offense Catch Red Snow NaN NaN Wootie Red Snow Sam Kate Phebe Meg
2224 Cackalackee Jackwagon 45 D 14 6 Offense Catch Snow Sam NaN NaN Wootie Red Snow Sam Kate Phebe Meg
2225 Cackalackee Jackwagon 45 D 14 6 Offense Goal Sam Kate NaN NaN Wootie Red Snow Sam Kate Phebe Meg
2226 Cackalackee Jackwagon 48 D 14 7 Defense Pull NaN NaN Haley 3.247 Puppy AD Cate Allee Paige Lina Haley
2227 Cackalackee Jackwagon 48 D 14 7 Defense Throwaway NaN NaN Anonymous NaN Puppy AD Cate Allee Paige Lina Haley
2228 Cackalackee Jackwagon 48 D 14 7 Offense Throwaway Lina Anonymous NaN NaN Puppy AD Cate Allee Paige Lina Haley
2229 Cackalackee Jackwagon 48 D 14 7 Defense Goal NaN NaN Anonymous NaN Puppy AD Cate Allee Paige Lina Haley
2230 Cackalackee Jackwagon 171 O 15 7 Offense Throwaway Wootie Anonymous NaN NaN Wootie Angela Nubby Snow Meg Turtle Mira
2231 Cackalackee Jackwagon 171 O 15 7 Defense Throwaway NaN NaN Anonymous NaN Wootie Angela Nubby Snow Meg Turtle Mira
2232 Cackalackee Jackwagon 171 O 15 7 Offense Catch Wootie Turtle NaN NaN Wootie Angela Nubby Snow Meg Turtle Mira
2233 Cackalackee Jackwagon 171 O 15 7 Offense Catch Turtle Angela NaN NaN Wootie Angela Nubby Snow Meg Turtle Mira
2234 Cackalackee Jackwagon 171 O 15 7 Offense Catch Angela Mira NaN NaN Wootie Angela Nubby Snow Meg Turtle Mira
2235 Cackalackee Jackwagon 171 O 15 7 Offense Throwaway Mira Anonymous NaN NaN Wootie Angela Nubby Snow Meg Turtle Mira
2236 Cackalackee Jackwagon 171 O 15 7 Defense Throwaway NaN NaN Anonymous NaN Wootie Angela Nubby Snow Meg Turtle Mira
2237 Cackalackee Jackwagon 171 O 15 7 Offense Catch Turtle Nubby NaN NaN Wootie Angela Nubby Snow Meg Turtle Mira
2238 Cackalackee Jackwagon 171 O 15 7 Offense Catch Nubby Angela NaN NaN Wootie Angela Nubby Snow Meg Turtle Mira
2239 Cackalackee Jackwagon 171 O 15 7 Offense Catch Angela Nubby NaN NaN Wootie Angela Nubby Snow Meg Turtle Mira
2240 Cackalackee Jackwagon 171 O 15 7 Offense Catch Nubby Turtle NaN NaN Wootie Angela Nubby Snow Meg Turtle Mira
2241 Cackalackee Jackwagon 171 O 15 7 Offense Catch Turtle Angela NaN NaN Wootie Angela Nubby Snow Meg Turtle Mira
2242 Cackalackee Jackwagon 171 O 15 7 Offense Throwaway Angela Anonymous NaN NaN Wootie Angela Nubby Snow Meg Turtle Mira
2243 Cackalackee Jackwagon 171 O 15 7 Defense Throwaway NaN NaN Anonymous NaN Wootie Angela Nubby Snow Meg Turtle Mira
2244 Cackalackee Jackwagon 171 O 15 7 Offense Catch Wootie Angela NaN NaN Wootie Angela Nubby Snow Meg Turtle Mira
2245 Cackalackee Jackwagon 171 O 15 7 Offense Catch Angela Nubby NaN NaN Wootie Angela Nubby Snow Meg Turtle Mira
2246 Cackalackee Jackwagon 171 O 15 7 Offense Goal Nubby Mira NaN NaN Wootie Angela Nubby Snow Meg Turtle Mira
\n", "

2247 rows \u00d7 19 columns

\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 333, "text": [ " Tournamemnt Opponent Point Elapsed Seconds Line \\\n", "0 Cackalackee Pheonix 7 O \n", "1 Cackalackee Pheonix 51 D \n", "2 Cackalackee Pheonix 51 D \n", "3 Cackalackee Pheonix 102 O \n", "4 Cackalackee Pheonix 102 O \n", "5 Cackalackee Pheonix 102 O \n", "6 Cackalackee Pheonix 102 O \n", "7 Cackalackee Pheonix 102 O \n", "8 Cackalackee Pheonix 102 O \n", "9 Cackalackee Pheonix 102 O \n", "10 Cackalackee Pheonix 102 O \n", "11 Cackalackee Pheonix 39 O \n", "12 Cackalackee Pheonix 39 O \n", "13 Cackalackee Pheonix 39 O \n", "14 Cackalackee Pheonix 39 O \n", "15 Cackalackee Pheonix 39 O \n", "16 Cackalackee Pheonix 39 O \n", "17 Cackalackee Pheonix 39 O \n", "18 Cackalackee Pheonix 99 D \n", "19 Cackalackee Pheonix 99 D \n", "20 Cackalackee Pheonix 99 D \n", "21 Cackalackee Pheonix 99 D \n", "22 Cackalackee Pheonix 33 O \n", "23 Cackalackee Pheonix 33 O \n", "24 Cackalackee Pheonix 33 O \n", "25 Cackalackee Pheonix 33 O \n", "26 Cackalackee Pheonix 6 D \n", "27 Cackalackee Pheonix 6 D \n", "28 Cackalackee Pheonix 81 O \n", "29 Cackalackee Pheonix 81 O \n", "... ... ... ... ... \n", "2217 Cackalackee Jackwagon 131 O \n", "2218 Cackalackee Jackwagon 131 O \n", "2219 Cackalackee Jackwagon 131 O \n", "2220 Cackalackee Jackwagon 45 D \n", "2221 Cackalackee Jackwagon 45 D \n", "2222 Cackalackee Jackwagon 45 D \n", "2223 Cackalackee Jackwagon 45 D \n", "2224 Cackalackee Jackwagon 45 D \n", "2225 Cackalackee Jackwagon 45 D \n", "2226 Cackalackee Jackwagon 48 D \n", "2227 Cackalackee Jackwagon 48 D \n", "2228 Cackalackee Jackwagon 48 D \n", "2229 Cackalackee Jackwagon 48 D \n", "2230 Cackalackee Jackwagon 171 O \n", "2231 Cackalackee Jackwagon 171 O \n", "2232 Cackalackee Jackwagon 171 O \n", "2233 Cackalackee Jackwagon 171 O \n", "2234 Cackalackee Jackwagon 171 O \n", "2235 Cackalackee Jackwagon 171 O \n", "2236 Cackalackee Jackwagon 171 O \n", "2237 Cackalackee Jackwagon 171 O \n", "2238 Cackalackee Jackwagon 171 O \n", "2239 Cackalackee Jackwagon 171 O \n", "2240 Cackalackee Jackwagon 171 O \n", "2241 Cackalackee Jackwagon 171 O \n", "2242 Cackalackee Jackwagon 171 O \n", "2243 Cackalackee Jackwagon 171 O \n", "2244 Cackalackee Jackwagon 171 O \n", "2245 Cackalackee Jackwagon 171 O \n", "2246 Cackalackee Jackwagon 171 O \n", "\n", " Our Score - End of Point Their Score - End of Point Event Type \\\n", "0 1 0 Offense \n", "1 1 1 Defense \n", "2 1 1 Defense \n", "3 1 2 Offense \n", "4 1 2 Offense \n", "5 1 2 Offense \n", "6 1 2 Offense \n", "7 1 2 Offense \n", "8 1 2 Offense \n", "9 1 2 Offense \n", "10 1 2 Defense \n", "11 2 2 Offense \n", "12 2 2 Offense \n", "13 2 2 Offense \n", "14 2 2 Offense \n", "15 2 2 Offense \n", "16 2 2 Offense \n", "17 2 2 Offense \n", "18 2 3 Defense \n", "19 2 3 Defense \n", "20 2 3 Offense \n", "21 2 3 Defense \n", "22 3 3 Offense \n", "23 3 3 Offense \n", "24 3 3 Offense \n", "25 3 3 Offense \n", "26 3 4 Defense \n", "27 3 4 Defense \n", "28 4 4 Offense \n", "29 4 4 Offense \n", "... ... ... ... \n", "2217 13 6 Defense \n", "2218 13 6 Offense \n", "2219 13 6 Offense \n", "2220 14 6 Defense \n", "2221 14 6 Defense \n", "2222 14 6 Offense \n", "2223 14 6 Offense \n", "2224 14 6 Offense \n", "2225 14 6 Offense \n", "2226 14 7 Defense \n", "2227 14 7 Defense \n", "2228 14 7 Offense \n", "2229 14 7 Defense \n", "2230 15 7 Offense \n", "2231 15 7 Defense \n", "2232 15 7 Offense \n", "2233 15 7 Offense \n", "2234 15 7 Offense \n", "2235 15 7 Offense \n", "2236 15 7 Defense \n", "2237 15 7 Offense \n", "2238 15 7 Offense \n", "2239 15 7 Offense \n", "2240 15 7 Offense \n", "2241 15 7 Offense \n", "2242 15 7 Offense \n", "2243 15 7 Defense \n", "2244 15 7 Offense \n", "2245 15 7 Offense \n", "2246 15 7 Offense \n", "\n", " Action Passer Receiver Defender Hang Time (secs) Player 0 \\\n", "0 Goal Wootie Meg NaN NaN Wootie \n", "1 Pull NaN NaN Angela 5.776 Angela \n", "2 Goal NaN NaN Anonymous NaN Angela \n", "3 Catch Wootie Sam NaN NaN Wootie \n", "4 Catch Sam AD NaN NaN Wootie \n", "5 Catch AD Wootie NaN NaN Wootie \n", "6 Catch Wootie Sam NaN NaN Wootie \n", "7 Catch Sam Haley NaN NaN Wootie \n", "8 Catch Haley Sam NaN NaN Wootie \n", "9 Throwaway Sam Anonymous NaN NaN Wootie \n", "10 Goal NaN NaN Anonymous NaN Wootie \n", "11 Catch Haley Wootie NaN NaN Wootie \n", "12 Catch Wootie Meg NaN NaN Wootie \n", "13 Catch Meg Angela NaN NaN Wootie \n", "14 Catch Angela Wootie NaN NaN Wootie \n", "15 Catch Wootie Meg NaN NaN Wootie \n", "16 Catch Meg Puppy NaN NaN Wootie \n", "17 Goal Puppy Lina NaN NaN Wootie \n", "18 Pull NaN NaN Angela 3.797 Angela \n", "19 D NaN NaN Angela NaN Angela \n", "20 Throwaway Angela Anonymous NaN NaN Angela \n", "21 Goal NaN NaN Anonymous NaN Angela \n", "22 Catch Sam Wootie NaN NaN Wootie \n", "23 Catch Wootie Puppy NaN NaN Wootie \n", "24 Catch Puppy Wootie NaN NaN Wootie \n", "25 Goal Wootie Mira NaN NaN Wootie \n", "26 Pull NaN NaN Red 4.908 Wootie \n", "27 Goal NaN NaN Anonymous NaN Wootie \n", "28 Catch AD Angela NaN NaN Angela \n", "29 Throwaway Angela Anonymous NaN NaN Angela \n", "... ... ... ... ... ... ... \n", "2217 Throwaway NaN NaN Anonymous NaN Angela \n", "2218 Catch Angela Hewey NaN NaN Angela \n", "2219 Goal Hewey Mira NaN NaN Angela \n", "2220 Pull NaN NaN Wootie 4.380 Wootie \n", "2221 Throwaway NaN NaN Anonymous NaN Wootie \n", "2222 Catch Wootie Red NaN NaN Wootie \n", "2223 Catch Red Snow NaN NaN Wootie \n", "2224 Catch Snow Sam NaN NaN Wootie \n", "2225 Goal Sam Kate NaN NaN Wootie \n", "2226 Pull NaN NaN Haley 3.247 Puppy \n", "2227 Throwaway NaN NaN Anonymous NaN Puppy \n", "2228 Throwaway Lina Anonymous NaN NaN Puppy \n", "2229 Goal NaN NaN Anonymous NaN Puppy \n", "2230 Throwaway Wootie Anonymous NaN NaN Wootie \n", "2231 Throwaway NaN NaN Anonymous NaN Wootie \n", "2232 Catch Wootie Turtle NaN NaN Wootie \n", "2233 Catch Turtle Angela NaN NaN Wootie \n", "2234 Catch Angela Mira NaN NaN Wootie \n", "2235 Throwaway Mira Anonymous NaN NaN Wootie \n", "2236 Throwaway NaN NaN Anonymous NaN Wootie \n", "2237 Catch Turtle Nubby NaN NaN Wootie \n", "2238 Catch Nubby Angela NaN NaN Wootie \n", "2239 Catch Angela Nubby NaN NaN Wootie \n", "2240 Catch Nubby Turtle NaN NaN Wootie \n", "2241 Catch Turtle Angela NaN NaN Wootie \n", "2242 Throwaway Angela Anonymous NaN NaN Wootie \n", "2243 Throwaway NaN NaN Anonymous NaN Wootie \n", "2244 Catch Wootie Angela NaN NaN Wootie \n", "2245 Catch Angela Nubby NaN NaN Wootie \n", "2246 Goal Nubby Mira NaN NaN Wootie \n", "\n", " Player 1 Player 2 Player 3 Player 4 Player 5 Player 6 \n", "0 Annie Meg NaN NaN NaN NaN \n", "1 Red Cate Nubby Sam Allee Paige \n", "2 Red Cate Nubby Sam Allee Paige \n", "3 AD Red Sam Haley Turtle Hewey \n", "4 AD Red Sam Haley Turtle Hewey \n", "5 AD Red Sam Haley Turtle Hewey \n", "6 AD Red Sam Haley Turtle Hewey \n", "7 AD Red Sam Haley Turtle Hewey \n", "8 AD Red Sam Haley Turtle Hewey \n", "9 AD Red Sam Haley Turtle Hewey \n", "10 AD Red Sam Haley Turtle Hewey \n", "11 Puppy Angela Lina Phebe Meg Haley \n", "12 Puppy Angela Lina Phebe Meg Haley \n", "13 Puppy Angela Lina Phebe Meg Haley \n", "14 Puppy Angela Lina Phebe Meg Haley \n", "15 Puppy Angela Lina Phebe Meg Haley \n", "16 Puppy Angela Lina Phebe Meg Haley \n", "17 Puppy Angela Lina Phebe Meg Haley \n", "18 AD Cate Snow Allee Kate Mira \n", "19 AD Cate Snow Allee Kate Mira \n", "20 AD Cate Snow Allee Kate Mira \n", "21 AD Cate Snow Allee Kate Mira \n", "22 Puppy Red Sam Turtle Mira Hewey \n", "23 Puppy Red Sam Turtle Mira Hewey \n", "24 Puppy Red Sam Turtle Mira Hewey \n", "25 Puppy Red Sam Turtle Mira Hewey \n", "26 Puppy Red Sam Turtle Mira Hewey \n", "27 Puppy Red Sam Turtle Mira Hewey \n", "28 AD Cate Nubby Allee Paige Kate \n", "29 AD Cate Nubby Allee Paige Kate \n", "... ... ... ... ... ... ... \n", "2217 Cate Nubby Paige Turtle Mira Hewey \n", "2218 Cate Nubby Paige Turtle Mira Hewey \n", "2219 Cate Nubby Paige Turtle Mira Hewey \n", "2220 Red Snow Sam Kate Phebe Meg \n", "2221 Red Snow Sam Kate Phebe Meg \n", "2222 Red Snow Sam Kate Phebe Meg \n", "2223 Red Snow Sam Kate Phebe Meg \n", "2224 Red Snow Sam Kate Phebe Meg \n", "2225 Red Snow Sam Kate Phebe Meg \n", "2226 AD Cate Allee Paige Lina Haley \n", "2227 AD Cate Allee Paige Lina Haley \n", "2228 AD Cate Allee Paige Lina Haley \n", "2229 AD Cate Allee Paige Lina Haley \n", "2230 Angela Nubby Snow Meg Turtle Mira \n", "2231 Angela Nubby Snow Meg Turtle Mira \n", "2232 Angela Nubby Snow Meg Turtle Mira \n", "2233 Angela Nubby Snow Meg Turtle Mira \n", "2234 Angela Nubby Snow Meg Turtle Mira \n", "2235 Angela Nubby Snow Meg Turtle Mira \n", "2236 Angela Nubby Snow Meg Turtle Mira \n", "2237 Angela Nubby Snow Meg Turtle Mira \n", "2238 Angela Nubby Snow Meg Turtle Mira \n", "2239 Angela Nubby Snow Meg Turtle Mira \n", "2240 Angela Nubby Snow Meg Turtle Mira \n", "2241 Angela Nubby Snow Meg Turtle Mira \n", "2242 Angela Nubby Snow Meg Turtle Mira \n", "2243 Angela Nubby Snow Meg Turtle Mira \n", "2244 Angela Nubby Snow Meg Turtle Mira \n", "2245 Angela Nubby Snow Meg Turtle Mira \n", "2246 Angela Nubby Snow Meg Turtle Mira \n", "\n", "[2247 rows x 19 columns]" ] } ], "prompt_number": 333 }, { "cell_type": "code", "collapsed": false, "input": [ "ultimate_raw_data.count()" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 334, "text": [ "Tournamemnt 2247\n", "Opponent 2247\n", "Point Elapsed Seconds 2247\n", "Line 2247\n", "Our Score - End of Point 2247\n", "Their Score - End of Point 2247\n", "Event Type 2247\n", "Action 2247\n", "Passer 1746\n", "Receiver 1746\n", "Defender 501\n", "Hang Time (secs) 140\n", "Player 0 2247\n", "Player 1 2247\n", "Player 2 2247\n", "Player 3 2246\n", "Player 4 2246\n", "Player 5 2246\n", "Player 6 2235\n", "dtype: int64" ] } ], "prompt_number": 334 }, { "cell_type": "code", "collapsed": false, "input": [ "this_gb = ultimate_raw_data.groupby('Action')\n", "this_gb_size = this_gb.size()\n", "print(this_gb_size)\n", "type(this_gb_size)\n", "this_gb_size.plot(kind = \"bar\", title = \"Action\")" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Action\n", "Catch 1395\n", "D 93\n", "Drop 25\n", "Goal 280\n", "Pull 151\n", "PullOb 3\n", "Throwaway 300\n", "dtype: int64\n" ] }, { "metadata": {}, "output_type": "pyout", "prompt_number": 335, "text": [ "" ] }, { "metadata": {}, "output_type": "display_data", "png": 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"text": [ "" ] } ], "prompt_number": 335 }, { "cell_type": "code", "collapsed": false, "input": [ "column_name_list = list(ultimate_raw_data.columns)\n", "print len(column_name_list)\n", "column_name_list" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "19\n" ] }, { "metadata": {}, "output_type": "pyout", "prompt_number": 336, "text": [ "['Tournamemnt',\n", " 'Opponent',\n", " 'Point Elapsed Seconds',\n", " 'Line',\n", " 'Our Score - End of Point',\n", " 'Their Score - End of Point',\n", " 'Event Type',\n", " 'Action',\n", " 'Passer',\n", " 'Receiver',\n", " 'Defender',\n", " 'Hang Time (secs)',\n", " 'Player 0',\n", " 'Player 1',\n", " 'Player 2',\n", " 'Player 3',\n", " 'Player 4',\n", " 'Player 5',\n", " 'Player 6']" ] } ], "prompt_number": 336 }, { "cell_type": "code", "collapsed": false, "input": [ "def make_bar_chart(i):\n", " column_name = column_name_list[i]\n", " this_gb = ultimate_raw_data.groupby(column_name)\n", " this_gb_size = this_gb.size()\n", " type(this_gb_size)\n", " this_gb_size.plot(kind = \"bar\", title = column_name)" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 337 }, { "cell_type": "code", "collapsed": false, "input": [ "make_bar_chart(9)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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2fYt88Rt/DHgA/5d0H4zl9mZgLWxegAVlH6/yvVhxflusdv5yzErx4USs3fwy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\nfwEcAlwJ/NUtTyLJzz4b+I+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"text": [ "" ] } ], "prompt_number": 338 }, { "cell_type": "code", "collapsed": false, "input": [ "try1 = ultimate_raw_data.groupby(['Opponent', 'Action'])\n", "try1.size().plot(kind = \"bar\", title = 'Opponent then Action', figsize = (18, 8))" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 339, "text": [ "" ] }, { "metadata": {}, "output_type": "display_data", "png": 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6HNFfb+qmjB7Xontbd8/v3PKsx3GYqqXfmxpy6s15HLG8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\naPU7Cq6nsDHNpxVmVC/W8hnYVce+lD/+Wxv7112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UuMa9sPv7NxT/yv6zFSbz/1P38TNU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\nztm+CUmSJEmahkbKDkCqqGzTs50ttkmSJ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"text": [ "" ] } ], "prompt_number": 339 }, { "cell_type": "code", "collapsed": false, "input": [ "def make_double_bar_chart(i, j):\n", " firstname = column_name_list[i]\n", " secondname = column_name_list[j]\n", " try1 = ultimate_raw_data.groupby([firstname, secondname])\n", " try1.size().plot(kind = \"bar\", title = firstname+' then '+secondname, figsize = (18, 8))" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 340 }, { "cell_type": "code", "collapsed": false, "input": [ "#make_double_bar_chart(6, 8)\n", "make_double_bar_chart(7,8)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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Llqzh1cmS1XdWQwMJAAAAQN826ZHwfUk+Mcnrk7z/9Lqbk/zTJG+Y/v41SX5h+vNXJ/mi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\n8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TournamemntOpponentPoint Elapsed SecondsLineOur Score - End of PointTheir Score - End of PointEvent TypeActionPasserReceiver...Player 1Player 2Player 3Player 4Player 5Player 6Shifted Their ScoreShifted Our Scorediff in our scorediff in their score
0 Cackalackee Pheonix 7 O 1 0 Offense Goal Wootie Meg... Annie Meg NaN NaN NaN NaNNaNNaNNaNNaN
1 Cackalackee Pheonix 51 D 1 1 Defense Pull NaN NaN... Red Cate Nubby Sam Allee Paige 0 1 0 1
3 Cackalackee Pheonix 102 O 1 2 Offense Catch Wootie Sam... AD Red Sam Haley Turtle Hewey 1 1 0 1
11 Cackalackee Pheonix 39 O 2 2 Offense Catch Haley Wootie... Puppy Angela Lina Phebe Meg Haley 2 1 1 0
18 Cackalackee Pheonix 99 D 2 3 Defense Pull NaN NaN... AD Cate Snow Allee Kate Mira 2 2 0 1
22 Cackalackee Pheonix 33 O 3 3 Offense Catch Sam Wootie... Puppy Red Sam Turtle Mira Hewey 3 2 1 0
26 Cackalackee Pheonix 6 D 3 4 Defense Pull NaN NaN... Puppy Red Sam Turtle Mira Hewey 3 3 0 1
28 Cackalackee Pheonix 81 O 4 4 Offense Catch AD Angela... AD Cate Nubby Allee Paige Kate 4 3 1 0
40 Cackalackee Pheonix 36 D 4 5 Defense Pull NaN NaN... Red Cate Snow Allee Meg Haley 4 4 0 1
42 Cackalackee Pheonix 37 O 5 5 Offense Catch Angela Haley... Puppy Angela Sam Phebe Haley Turtle 5 4 1 0
48 Cackalackee Pheonix 42 D 5 6 Defense Pull NaN NaN... Angela Red Nubby Lina Phebe Meg 5 5 0 1
50 Cackalackee Pheonix 57 O 6 6 Offense Catch Haley AD... Red Cate Allee Haley Mira Hewey 6 5 1 0
58 Cackalackee Pheonix 27 D 6 7 Defense Pull NaN NaN... Angela Cate Snow Meg Haley Hewey 6 6 0 1
60 Cackalackee Pheonix 102 O 7 7 Offense Catch Sam AD... Angela AD Sam Paige Kate Turtle 7 6 1 0
68 Cackalackee Pheonix 54 D 7 8 Defense Pull NaN NaN... AD Snow Sam Haley Turtle Mira 7 7 0 1
70 Cackalackee Pheonix 154 D 8 8 Defense Pull NaN NaN... AD Red Cate Allee Mira Hewey 8 7 1 0
82 Cackalackee Pheonix 44 D 8 9 Defense Pull NaN NaN... Angela Cate Sam Kate Meg Mira 8 8 0 1
84 Cackalackee Pheonix 36 O 9 9 Offense Catch AD Wootie... AD Nubby Snow Allee Haley Turtle 9 8 1 0
91 Cackalackee Pheonix 59 D 10 9 Defense Pull NaN NaN... Red Sam Paige Meg Mira Hewey 9 9 1 0
98 Cackalackee Pheonix 385 D 11 9 Defense Pull NaN NaN... Red Cate Nubby Allee Kate Mira 9 10 1 0
114 Cackalackee Pheonix 90 D 12 9 Defense Pull NaN NaN... Red Cate Meg Haley Turtle Hewey 9 11 1 0
119 Cackalackee Pheonix 79 D 13 9 Defense Pull NaN NaN... Puppy Sam Allee Kate Haley Mira 9 12 1 0
131 Cackalackee Pheonix 55 D 14 9 Defense Pull NaN NaN... AD Red Cate Allee Kate Turtle 9 13 1 0
139 Cackalackee Pheonix 80 D 15 9 Defense Pull NaN NaN... Angela AD Snow Sam Phebe Hewey 9 14 1 0
145 Chesapeake Nightlock 45 O 1 0 Offense Catch Annie Cate... Red Cate Kate Annie Meg Mira 9 15-14 -9
151 Chesapeake Nightlock 147 D 1 1 Defense Pull NaN NaN... Angela Nubby Annie Haley Turtle Hewey 0 1 0 1
156 Chesapeake Nightlock 42 O 2 1 Offense Catch AD Red... Alicia Angela AD Red Sam Kate 1 1 1 0
164 Chesapeake Nightlock 82 D 3 1 Defense Pull NaN NaN... Angela Annie Haley Turtle Mira Hewey 1 2 1 0
177 Chesapeake Nightlock 88 D 3 2 Defense Pull NaN NaN... AD Red Cate Paige Annie Meg 1 3 0 1
185 Chesapeake Nightlock 70 O 3 3 Offense Catch Angela Wootie... Alicia Angela Nubby Sam Meg Mira 2 3 0 1
..................................................................
1985 Chesapeake Hot Metal 186 D 7 4 Defense Pull NaN NaN... AD Sam Paige Kate Meg Turtle 4 6 1 0
1998 Chesapeake Hot Metal 32 D 8 4 Defense Pull NaN NaN... Puppy Alicia Cate Sam Haley Hewey 4 7 1 0
2002 Chesapeake Hot Metal 177 D 9 4 Defense Pull NaN NaN... Angela Nubby Paige Lina Annie Turtle 4 8 1 0
2018 Chesapeake Hot Metal 62 D 10 4 Defense Pull NaN NaN... Sam Kate Annie Phebe Haley Mira 4 9 1 0
2029 Chesapeake Hot Metal 105 D 11 4 Defense PullOb NaN NaN... Angela Red Cate Nubby Sam Meg 4 10 1 0
2039 Chesapeake Hot Metal 137 D 12 4 Defense Pull NaN NaN... AD Red Cate Kate Mira Hewey 4 11 1 0
2049 Chesapeake Hot Metal 32 D 12 5 Defense Pull NaN NaN... Angela Nubby Sam Paige Lina Annie 4 12 0 1
2051 Chesapeake Hot Metal 67 O 13 5 Offense Catch AD Angela... Angela AD Cate Lina Haley Turtle 5 12 1 0
2064 Cackalackee Jackwagon 72 D 1 0 Defense Pull NaN NaN... Cate Meg Haley Turtle Mira Hewey 5 13-12 -5
2071 Cackalackee Jackwagon 29 D 2 0 Defense Pull NaN NaN... Puppy Angela Sam Allee Paige Kate 0 1 1 0
2075 Cackalackee Jackwagon 24 D 3 0 Defense Pull NaN NaN... Red Snow Allee Phebe Haley Mira 0 2 1 0
2080 Cackalackee Jackwagon 410 D 4 0 Defense Pull NaN NaN... Cate Nubby Snow Lina Meg Turtle 0 3 1 0
2104 Cackalackee Jackwagon 47 D 4 1 Defense Pull NaN NaN... Puppy Red Sam Paige Lina Kate 0 4 0 1
2108 Cackalackee Jackwagon 127 O 4 2 Offense Catch Haley Angela... Snow Allee Phebe Haley Mira Hewey 1 4 0 1
2119 Cackalackee Jackwagon 40 O 5 2 Offense Catch AD Cate... Red Cate Snow Meg Turtle Hewey 2 4 1 0
2128 Cackalackee Jackwagon 34 D 5 3 Defense Pull NaN NaN... Puppy Angela Paige Lina Kate Haley 2 5 0 1
2130 Cackalackee Jackwagon 61 O 6 3 Offense Catch Wootie Sam... Cate Nubby Sam Allee Mira Hewey 3 5 1 0
2143 Cackalackee Jackwagon 117 D 6 4 Defense Pull NaN NaN... AD Red Snow Paige Phebe Turtle 3 6 0 1
2148 Cackalackee Jackwagon 54 O 7 4 Offense Catch AD Wootie... AD Sam Kate Meg Haley Turtle 4 6 1 0
2153 Cackalackee Jackwagon 42 D 7 5 Defense Pull NaN NaN... Angela Cate Nubby Allee Lina Mira 4 7 0 1
2155 Cackalackee Jackwagon 83 O 8 5 Offense Throwaway Wootie Anonymous... AD Red Sam Kate Phebe Hewey 5 7 1 0
2159 Cackalackee Jackwagon 30 O 9 5 Offense Catch Haley Paige... Angela Nubby Snow Paige Meg Haley 5 8 1 0
2163 Cackalackee Jackwagon 96 D 10 5 Defense Pull NaN NaN... AD Sam Allee Lina Turtle Mira 5 9 1 0
2173 Cackalackee Jackwagon 53 D 11 5 Defense Pull NaN NaN... Red Cate Allee Paige Phebe Hewey 5 10 1 0
2177 Cackalackee Jackwagon 97 D 12 5 Defense Pull NaN NaN... Nubby Snow Sam Kate Meg Haley 5 11 1 0
2187 Cackalackee Jackwagon 318 D 12 6 Defense Pull NaN NaN... AD Red Sam Lina Phebe Haley 5 12 0 1
2203 Cackalackee Jackwagon 131 O 13 6 Offense Catch Nubby Angela... Cate Nubby Paige Turtle Mira Hewey 6 12 1 0
2220 Cackalackee Jackwagon 45 D 14 6 Defense Pull NaN NaN... Red Snow Sam Kate Phebe Meg 6 13 1 0
2226 Cackalackee Jackwagon 48 D 14 7 Defense Pull NaN NaN... AD Cate Allee Paige Lina Haley 6 14 0 1
2230 Cackalackee Jackwagon 171 O 15 7 Offense Throwaway Wootie Anonymous... Angela Nubby Snow Meg Turtle Mira 7 14 1 0
\n", "

280 rows \u00d7 23 columns

\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 349, "text": [ " Tournamemnt Opponent Point Elapsed Seconds Line \\\n", "0 Cackalackee Pheonix 7 O \n", "1 Cackalackee Pheonix 51 D \n", "3 Cackalackee Pheonix 102 O \n", "11 Cackalackee Pheonix 39 O \n", "18 Cackalackee Pheonix 99 D \n", "22 Cackalackee Pheonix 33 O \n", "26 Cackalackee Pheonix 6 D \n", "28 Cackalackee Pheonix 81 O \n", "40 Cackalackee Pheonix 36 D \n", "42 Cackalackee Pheonix 37 O \n", "48 Cackalackee Pheonix 42 D \n", "50 Cackalackee Pheonix 57 O \n", "58 Cackalackee Pheonix 27 D \n", "60 Cackalackee Pheonix 102 O \n", "68 Cackalackee Pheonix 54 D \n", "70 Cackalackee Pheonix 154 D \n", "82 Cackalackee Pheonix 44 D \n", "84 Cackalackee Pheonix 36 O \n", "91 Cackalackee Pheonix 59 D \n", "98 Cackalackee Pheonix 385 D \n", "114 Cackalackee Pheonix 90 D \n", "119 Cackalackee Pheonix 79 D \n", "131 Cackalackee Pheonix 55 D \n", "139 Cackalackee Pheonix 80 D \n", "145 Chesapeake Nightlock 45 O \n", "151 Chesapeake Nightlock 147 D \n", "156 Chesapeake Nightlock 42 O \n", "164 Chesapeake Nightlock 82 D \n", "177 Chesapeake Nightlock 88 D \n", "185 Chesapeake Nightlock 70 O \n", "... ... ... ... ... \n", "1985 Chesapeake Hot Metal 186 D \n", "1998 Chesapeake Hot Metal 32 D \n", "2002 Chesapeake Hot Metal 177 D \n", "2018 Chesapeake Hot Metal 62 D \n", "2029 Chesapeake Hot Metal 105 D \n", "2039 Chesapeake Hot Metal 137 D \n", "2049 Chesapeake Hot Metal 32 D \n", "2051 Chesapeake Hot Metal 67 O \n", "2064 Cackalackee Jackwagon 72 D \n", "2071 Cackalackee Jackwagon 29 D \n", "2075 Cackalackee Jackwagon 24 D \n", "2080 Cackalackee Jackwagon 410 D \n", "2104 Cackalackee Jackwagon 47 D \n", "2108 Cackalackee Jackwagon 127 O \n", "2119 Cackalackee Jackwagon 40 O \n", "2128 Cackalackee Jackwagon 34 D \n", "2130 Cackalackee Jackwagon 61 O \n", "2143 Cackalackee Jackwagon 117 D \n", "2148 Cackalackee Jackwagon 54 O \n", "2153 Cackalackee Jackwagon 42 D \n", "2155 Cackalackee Jackwagon 83 O \n", "2159 Cackalackee Jackwagon 30 O \n", "2163 Cackalackee Jackwagon 96 D \n", "2173 Cackalackee Jackwagon 53 D \n", "2177 Cackalackee Jackwagon 97 D \n", "2187 Cackalackee Jackwagon 318 D \n", "2203 Cackalackee Jackwagon 131 O \n", "2220 Cackalackee Jackwagon 45 D \n", "2226 Cackalackee Jackwagon 48 D \n", "2230 Cackalackee Jackwagon 171 O \n", "\n", " Our Score - End of Point Their Score - End of Point Event Type \\\n", "0 1 0 Offense \n", "1 1 1 Defense \n", "3 1 2 Offense \n", "11 2 2 Offense \n", "18 2 3 Defense \n", "22 3 3 Offense \n", "26 3 4 Defense \n", "28 4 4 Offense \n", "40 4 5 Defense \n", "42 5 5 Offense \n", "48 5 6 Defense \n", "50 6 6 Offense \n", "58 6 7 Defense \n", "60 7 7 Offense \n", "68 7 8 Defense \n", "70 8 8 Defense \n", "82 8 9 Defense \n", "84 9 9 Offense \n", "91 10 9 Defense \n", "98 11 9 Defense \n", "114 12 9 Defense \n", "119 13 9 Defense \n", "131 14 9 Defense \n", "139 15 9 Defense \n", "145 1 0 Offense \n", "151 1 1 Defense \n", "156 2 1 Offense \n", "164 3 1 Defense \n", "177 3 2 Defense \n", "185 3 3 Offense \n", "... ... ... ... \n", "1985 7 4 Defense \n", "1998 8 4 Defense \n", "2002 9 4 Defense \n", "2018 10 4 Defense \n", "2029 11 4 Defense \n", "2039 12 4 Defense \n", "2049 12 5 Defense \n", "2051 13 5 Offense \n", "2064 1 0 Defense \n", "2071 2 0 Defense \n", "2075 3 0 Defense \n", "2080 4 0 Defense \n", "2104 4 1 Defense \n", "2108 4 2 Offense \n", "2119 5 2 Offense \n", "2128 5 3 Defense \n", "2130 6 3 Offense \n", "2143 6 4 Defense \n", "2148 7 4 Offense \n", "2153 7 5 Defense \n", "2155 8 5 Offense \n", "2159 9 5 Offense \n", "2163 10 5 Defense \n", "2173 11 5 Defense \n", "2177 12 5 Defense \n", "2187 12 6 Defense \n", "2203 13 6 Offense \n", "2220 14 6 Defense \n", "2226 14 7 Defense \n", "2230 15 7 Offense \n", "\n", " Action Passer Receiver ... Player 1 Player 2 Player 3 \\\n", "0 Goal Wootie Meg ... Annie Meg NaN \n", "1 Pull NaN NaN ... Red Cate Nubby \n", "3 Catch Wootie Sam ... AD Red Sam \n", "11 Catch Haley Wootie ... Puppy Angela Lina \n", "18 Pull NaN NaN ... AD Cate Snow \n", "22 Catch Sam Wootie ... Puppy Red Sam \n", "26 Pull NaN NaN ... Puppy Red Sam \n", "28 Catch AD Angela ... AD Cate Nubby \n", "40 Pull NaN NaN ... Red Cate Snow \n", "42 Catch Angela Haley ... Puppy Angela Sam \n", "48 Pull NaN NaN ... Angela Red Nubby \n", "50 Catch Haley AD ... Red Cate Allee \n", "58 Pull NaN NaN ... Angela Cate Snow \n", "60 Catch Sam AD ... Angela AD Sam \n", "68 Pull NaN NaN ... AD Snow Sam \n", "70 Pull NaN NaN ... AD Red Cate \n", "82 Pull NaN NaN ... Angela Cate Sam \n", "84 Catch AD Wootie ... AD Nubby Snow \n", "91 Pull NaN NaN ... Red Sam Paige \n", "98 Pull NaN NaN ... Red Cate Nubby \n", "114 Pull NaN NaN ... Red Cate Meg \n", "119 Pull NaN NaN ... Puppy Sam Allee \n", "131 Pull NaN NaN ... AD Red Cate \n", "139 Pull NaN NaN ... Angela AD Snow \n", "145 Catch Annie Cate ... Red Cate Kate \n", "151 Pull NaN NaN ... Angela Nubby Annie \n", "156 Catch AD Red ... Alicia Angela AD \n", "164 Pull NaN NaN ... Angela Annie Haley \n", "177 Pull NaN NaN ... AD Red Cate \n", "185 Catch Angela Wootie ... Alicia Angela Nubby \n", "... ... ... ... ... ... ... ... \n", "1985 Pull NaN NaN ... AD Sam Paige \n", "1998 Pull NaN NaN ... Puppy Alicia Cate \n", "2002 Pull NaN NaN ... Angela Nubby Paige \n", "2018 Pull NaN NaN ... Sam Kate Annie \n", "2029 PullOb NaN NaN ... Angela Red Cate \n", "2039 Pull NaN NaN ... AD Red Cate \n", "2049 Pull NaN NaN ... Angela Nubby Sam \n", "2051 Catch AD Angela ... Angela AD Cate \n", "2064 Pull NaN NaN ... Cate Meg Haley \n", "2071 Pull NaN NaN ... Puppy Angela Sam \n", "2075 Pull NaN NaN ... Red Snow Allee \n", "2080 Pull NaN NaN ... Cate Nubby Snow \n", "2104 Pull NaN NaN ... Puppy Red Sam \n", "2108 Catch Haley Angela ... Snow Allee Phebe \n", "2119 Catch AD Cate ... Red Cate Snow \n", "2128 Pull NaN NaN ... Puppy Angela Paige \n", "2130 Catch Wootie Sam ... Cate Nubby Sam \n", "2143 Pull NaN NaN ... AD Red Snow \n", "2148 Catch AD Wootie ... AD Sam Kate \n", "2153 Pull NaN NaN ... Angela Cate Nubby \n", "2155 Throwaway Wootie Anonymous ... AD Red Sam \n", "2159 Catch Haley Paige ... Angela Nubby Snow \n", "2163 Pull NaN NaN ... AD Sam Allee \n", "2173 Pull NaN NaN ... Red Cate Allee \n", "2177 Pull NaN NaN ... Nubby Snow Sam \n", "2187 Pull NaN NaN ... AD Red Sam \n", "2203 Catch Nubby Angela ... Cate Nubby Paige \n", "2220 Pull NaN NaN ... Red Snow Sam \n", "2226 Pull NaN NaN ... AD Cate Allee \n", "2230 Throwaway Wootie Anonymous ... Angela Nubby Snow \n", "\n", " Player 4 Player 5 Player 6 Shifted Their Score Shifted Our Score \\\n", "0 NaN NaN NaN NaN NaN \n", "1 Sam Allee Paige 0 1 \n", "3 Haley Turtle Hewey 1 1 \n", "11 Phebe Meg Haley 2 1 \n", "18 Allee Kate Mira 2 2 \n", "22 Turtle Mira Hewey 3 2 \n", "26 Turtle Mira Hewey 3 3 \n", "28 Allee Paige Kate 4 3 \n", "40 Allee Meg Haley 4 4 \n", "42 Phebe Haley Turtle 5 4 \n", "48 Lina Phebe Meg 5 5 \n", "50 Haley Mira Hewey 6 5 \n", "58 Meg Haley Hewey 6 6 \n", "60 Paige Kate Turtle 7 6 \n", "68 Haley Turtle Mira 7 7 \n", "70 Allee Mira Hewey 8 7 \n", "82 Kate Meg Mira 8 8 \n", "84 Allee Haley Turtle 9 8 \n", "91 Meg Mira Hewey 9 9 \n", "98 Allee Kate Mira 9 10 \n", "114 Haley Turtle Hewey 9 11 \n", "119 Kate Haley Mira 9 12 \n", "131 Allee Kate Turtle 9 13 \n", "139 Sam Phebe Hewey 9 14 \n", "145 Annie Meg Mira 9 15 \n", "151 Haley Turtle Hewey 0 1 \n", "156 Red Sam Kate 1 1 \n", "164 Turtle Mira Hewey 1 2 \n", "177 Paige Annie Meg 1 3 \n", "185 Sam Meg Mira 2 3 \n", "... ... ... ... ... ... \n", "1985 Kate Meg Turtle 4 6 \n", "1998 Sam Haley Hewey 4 7 \n", "2002 Lina Annie Turtle 4 8 \n", "2018 Phebe Haley Mira 4 9 \n", "2029 Nubby Sam Meg 4 10 \n", "2039 Kate Mira Hewey 4 11 \n", "2049 Paige Lina Annie 4 12 \n", "2051 Lina Haley Turtle 5 12 \n", "2064 Turtle Mira Hewey 5 13 \n", "2071 Allee Paige Kate 0 1 \n", "2075 Phebe Haley Mira 0 2 \n", "2080 Lina Meg Turtle 0 3 \n", "2104 Paige Lina Kate 0 4 \n", "2108 Haley Mira Hewey 1 4 \n", "2119 Meg Turtle Hewey 2 4 \n", "2128 Lina Kate Haley 2 5 \n", "2130 Allee Mira Hewey 3 5 \n", "2143 Paige Phebe Turtle 3 6 \n", "2148 Meg Haley Turtle 4 6 \n", "2153 Allee Lina Mira 4 7 \n", "2155 Kate Phebe Hewey 5 7 \n", "2159 Paige Meg Haley 5 8 \n", "2163 Lina Turtle Mira 5 9 \n", "2173 Paige Phebe Hewey 5 10 \n", "2177 Kate Meg Haley 5 11 \n", "2187 Lina Phebe Haley 5 12 \n", "2203 Turtle Mira Hewey 6 12 \n", "2220 Kate Phebe Meg 6 13 \n", "2226 Paige Lina Haley 6 14 \n", "2230 Meg Turtle Mira 7 14 \n", "\n", " diff in our score diff in their score \n", "0 NaN NaN \n", "1 0 1 \n", "3 0 1 \n", "11 1 0 \n", "18 0 1 \n", "22 1 0 \n", "26 0 1 \n", "28 1 0 \n", "40 0 1 \n", "42 1 0 \n", "48 0 1 \n", "50 1 0 \n", "58 0 1 \n", "60 1 0 \n", "68 0 1 \n", "70 1 0 \n", "82 0 1 \n", "84 1 0 \n", "91 1 0 \n", "98 1 0 \n", "114 1 0 \n", "119 1 0 \n", "131 1 0 \n", "139 1 0 \n", "145 -14 -9 \n", "151 0 1 \n", "156 1 0 \n", "164 1 0 \n", "177 0 1 \n", "185 0 1 \n", "... ... ... \n", "1985 1 0 \n", "1998 1 0 \n", "2002 1 0 \n", "2018 1 0 \n", "2029 1 0 \n", "2039 1 0 \n", "2049 0 1 \n", "2051 1 0 \n", "2064 -12 -5 \n", "2071 1 0 \n", "2075 1 0 \n", "2080 1 0 \n", "2104 0 1 \n", "2108 0 1 \n", "2119 1 0 \n", "2128 0 1 \n", "2130 1 0 \n", "2143 0 1 \n", "2148 1 0 \n", "2153 0 1 \n", "2155 1 0 \n", "2159 1 0 \n", "2163 1 0 \n", "2173 1 0 \n", "2177 1 0 \n", "2187 0 1 \n", "2203 1 0 \n", "2220 1 0 \n", "2226 0 1 \n", "2230 1 0 \n", "\n", "[280 rows x 23 columns]" ] } ], "prompt_number": 349 }, { "cell_type": "code", "collapsed": false, "input": [ "opp_gb = point_data.groupby('Opponent')\n", "opp_gb.size().plot(kind = \"bar\", title = 'Opponent', figsize = (18, 8))" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 350, "text": [ "" ] }, { "metadata": {}, "output_type": "display_data", "png": 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Pt3d+vI6TEXuG/cwoAAAAANZioWBw9gTVp+M29FyfjuvTcX06bkPPLZTeASZQegeYgteL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\nSa7Kcsr2u3fOsq2+NcmNWb5p3buFlM3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"text": [ "" ] } ], "prompt_number": 350 }, { "cell_type": "code", "collapsed": false, "input": [ "opp_diff = point_data.groupby(['Action', 'Passer'])\n", "print type(opp_diff.size())\n", "opp_diff.size().plot(kind = \"bar\", title = 'Action then Passer', figsize = (18, 8))" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "\n" ] }, { "metadata": {}, "output_type": "pyout", "prompt_number": 351, "text": [ "" ] }, { "metadata": {}, "output_type": "display_data", "png": 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6YyYA9qNHAQAAAHAqJgq2UnoX0FjpXUBT1hmNbbY8yXyZ5BmbPKMrvQtYQOld\nQFOz7XPyjE2e8c2WSY8CAAAAYDGn6VHwuCQfluRlSR60ue/mJD+S5G2TXEzycUluO/Z7ehTUkfQo\nAIAVmfE5dcZMAOxn3x4F353kYcfu+3dJnpzknZL80uY2AAAAsHKnmSh4apJXHrvvI5I8fvP3xyf5\nqJZFjav0LqCx0ruApqwzGttseZL5MskzNnlGV3oXsIDSu4CmZtvn5BmbPOObLdMoPQreKslLN39/\n6eY2AAAAsHLXN/g37shlFr3deuutOXfuXJLkpptuyi233JLz588nOZzx6HW7KknOH/l7TnE7V/n+\nyT8vz7W5PXp9s+R50ze9Ma973WuytBtvvFde/epXdM/rtttu3/luHzq4fX6R22PnOb/lz+cNY/be\nfifdPn/+/FD1yCPPmm7PludAGfR4tVSeCxcu5LbbamvBixcv5kpO08wwSc4l+ekcNjN8XuozwkuS\n3DfJU5K887Hf0cywjqSZIdOxvwEzm/EYN2MmAPazbzPDkzwpySM2f39Ekp/c8d9ZmdK7gMZK7wKa\nOpg1m8VseWbb35L5tpE8Y5NndKV3AQsovQtoarZ9Tp6xyTO+2TK1znOaiYIfSvK0JA9M8sdJPiXJ\nVyf5kCS/n+SDNrcBAACAlTvt0oNdWHpQR7L0gOnY34CZzXiMmzETAPtZYukBAAAAMCETBVspvQto\nrPQuoCnrjEZXehfQ3GzbSJ6xyTO60ruABZTeBTQ12z4nz9jkGd9smXr0KAAAAADuJPQoWH4kPQqY\njv0NmNmMx7gZMwGwHz0KAAAAgFMxUbCV0ruAxkrvApqyzmh0pXcBzc22jeQZmzyjK70LWEDpXUBT\ns+1z8oxNnvHNlkmPAgAAAGAxehQsP5IeBUzH/gbMbMZj3IyZANiPHgUAAADAqZgo2ErpXUBjpXcB\nTVlnNLrSu4DmZttG8oxNntGV3gUsoPQuoKnZ9jl5xibP+GbLpEcBAAAAsBg9CpYfSY8CpmN/A2Y2\n4zFuxkwA7EePAgAAAOBUTBRspfQuoLHSu4CmrDMaXeldQHOzbSN5xibP6ErvAhZQehfQ1Gz7nDxj\nk2d8s2XSowAAAABYjB4Fy4+kRwHTsb8BM5vxGDdjJgD2o0cBAAAAcComCrZSehfQWOldQFPWGY2u\n9C6gudm2kTxjk2d0pXcBCyi9C2hqtn1OnrHJM77ZMulRAAAAACxGj4LlR9KjgOnY34CZzXiMmzET\nAPvRowDp7gUaAAAgAElEQVQAAAA4FRMFWym9C2is9C6gKeuMRld6F9DcbNtInrHJM7rSu4AFlN4F\nNDXbPifP2OQZ32yZ9CgAAAAAFqNHwfIj6VHAdOxvwMxmPMbNmAmA/ehRAAAAAJyKiYKtlN4FNFZ6\nF9CUdUajK70LaG62bSTP2OQZXeldwAJK7wKamm2fk2ds8oxvtkx6FAAAAACL0aNg+ZH0KGA69jdg\nZjMe42bMBMB+9CgAAAAATsVEwVZK7wIaK70LaMo6o9GV3gU0N9s2kmds8oyu9C5gAaV3AU3Nts/J\nMzZ5xjdbJj0KAAAAgMXoUbD8SHoUMB37GzCzGY9xM2YCYD96FAAAAACnYqJgK6V3AY2V3gU0ZZ3R\n6ErvApqbbRvJMzZ5Rld6F7CA0ruApmbb5+QZmzzjmy2THgUAAADAYvQoWH4kPQqYjv0NmNmMx7gZ\nMwGwHz0KAAAAgFMxUbCV0ruAxkrvApqyzmh0pXcBzc22jeQZmzyjK70LWEDpXUBTs+1z8oxNnvHN\nlkmPAgAAAGAxehQsP5IeBUzH/gbMbMZj3IyZANiPHgUAAADAqZgo2ErpXUBjpXcBTVlnNLrSu4Dm\nZttG8oxNntGV3gUsoPQuoKnZ9jl5xibP+GbLpEcBAAAAsBg9CpYfSY8CpmN/A2Y24zFuxkwA7EeP\nAgAAAOBUTBRspfQuoLHSu4CmrDMaXeldQHOzbSN5xibP6ErvAhZQehfQ1Gz7nDxjk2d8s2XSowAA\nAABYjB4Fy4+kRwHTsb8BM5vxGDdjJgD2o0cBAAAAcComCrZSehfQWOldwGWdPXtzzpw5s/jX2bM3\n9456WbOtmxp5f9vVbNtInrHJM7rSu4AFlN4FNDXbPifP2OQZ32yZ9CjgTuH221+ZeorkNl9P2fp3\n6jgAAAAc0KNg+ZH0KNhllMnyzMb2AWY24zFuxkwA7EePAgAAAOBUTBRspfQuoLHSu4DGSu8Cmppt\n3dRs2yeZbxvJMzZ5Rld6F7CA0ruApmbb5+QZmzzjmy2THgUAAADAYvQoWH4ka/p3GWWyPLOxfYCZ\nzXiMmzETAPvRowAAAAA4FRMFWym9C2is9C6gsdK7gKZmWzc12/ZJ5ttG8oxNntGV3gUsoPQuoKnZ\n9jl5xibP+GbLpEcBAAAAsBg9CpYfyZr+XUaZLM9sbB9gZjMe42bMBMB+9CgAAAAATsVEwVZK7wIa\nK70LaKz0LqCp2dZNzbZ9kvm2kTxjk2d0pXcBCyi9C2hqtn1OnrHJM77ZMulRAAAAACxGj4LlR7Km\nf5dRJsszG9sHmNmMx7gZMwGwHz0KAAAAgFMxUbCV0ruAxkrvAhorvQtoarZ1U7Ntn2S+bSTP2OQZ\nXeldwAJK7wKamm2fk2ds8oxvtkx6FAAAAACL0aNg+ZGs6d9llMnyzGa27XP27M25/fZXLj5Oktx4\n473y6le/4pqMBdfKtXoMXavHz2zHuGTOTADs50o9CkwULD+SN9a7jDJZntnMtn2uXZ7EPseMHBN2\nHslEAQDdaGbYTOldQGOldwGNld4FNDXbuqnZtk9VehfQ1Gz7nDyjK70LaKz0LmABpXcBTc32GJJn\nbPKMb7ZMehQAAAAAi7H0YPmRnCa5yyiT5ZnNbNvH0gPYj2PCziNZegBAN5YeAAAAAKdiomArpXcB\njZXeBTRWehfQ1GzrpmbbPlXpXUBTs+1z8oyu9C6gsdK7gAWU3gU0NdtjSJ6xyTO+2TLpUQAAAAAs\nRo+C5UeynnKXUSbLM5vZto8eBbAfx4SdR9KjAIBu9CgAAAAATsVEwVZK7wIaK70LaKz0LqCp2dZN\nzbZ9qtK7gKZm2+fkGV3pXUBjpXcBCyi9C2hqtseQPGOTZ3yzZdKjAAAAAFiMHgXLj2Q95S6jTJZn\nNrNtHz0KYD+OCTuPpEcBAN1cqUfB9Xv+2xeTvDrJXyf5yyQP2fPfAwAAADrad+nBHUnOJ3mv3Ckm\nCUrvAhorvQtorPQuoKnZ1k3Ntn2q0ruApmbb5+QZXeldQGOldwELKL0LaGq2x5A8Y5NnfLNlGrFH\nwZLLFwAAAIBraN83+S9M8qrUpQffkeSxR76nR0EdyXrKXUaZLM9sZts+ehTAfhwTdh5JjwIAulmy\nR8H7JXlxkrdM8uQkz0vy1D3/TQAAAKCTfScKXrz588+T/ERqn4I3TBTceuutOXfuXJLkpptuyi23\n3JLz588nOVxD0et2VVJbLBz8PVe5fSHJI7f4+SMjybPV7cMxr1bP0dvj5tnl9oULF/LIRz5ymHqO\n3q5KZtk+h2NerZ6T6ju/xc8vU3+r2wf3jVKPPOvKc+jg9vmr3D6477Q/v2z98px0++jvnubn84Yx\ne++PJ90+/ljqXY888qzp9mx5kuQxj3nMUO9Pr0WeCxcu5LbbbkuSXLx4MVeyz9KDN01ylyS3J7kh\nyS8m+Y+bP5Mplx6UHH0iPOVIA58mWSLPuKdIliMvtEYz2/bZ/ZTcklEz7WLkfW4X8lw7jgnJyHmS\nOTNta+TH0C7kGZs845st0y55rrT0YJ+JgrdLPYsgqWcm/ECSrzry/QknCnYaaeAXNTuNJA/TbR89\nCmA/jgk7jzT4RMFOIznGAazEUhMFV2OioI7kRc0uo0yWZzazbR8TBbAfx4SdRzJRAEA3V5oouO7a\nlrJ2pXcBjZXeBTRWehfQ1NG1YHMovQtYQOldQFOz7XPyjK70LqCx0ruABZTeBTQ122NInrHJM77Z\nMrXOY6IAAAAAeANLD5YfyWmSu4wyWZ7ZzLZ9LD2A/Tgm7DySpQcAdGPpAQAAAHAqJgq2UnoX0Fjp\nXUBjpXcBTc22bmq27VOV3gU0Nds+J8/oSu8CGiu9C1hA6V1AU7M9huQZmzzjmy2THgUAAADAYvQo\nWH4k6yl3GWWyPLOZbfvoUQD7cUzYeSQ9CgDoRo8CAAAA4FRMFGyl9C6gsdK7gMZK7wKamm3d1Gzb\npyq9C2hqtn1OntGV3gU0VnoXsIDSu4CmZnsMyTM2ecY3WyY9CgAAAIDF6FGw/EjWU+4yymR5ZjPb\n9tGjAPbjmLDzSHoUANCNHgUAAADAqZgo2ErpXUBjpXcBjZXeBTQ127qp2bZPVXoX0NRs+5w8oyu9\nC2is9C5gAaV3AU3N9hiSZ2zyjG+2THoUAAAAAIvRo2D5kayn3GWUyfLMZrbto0cB7McxYeeR9CgA\noBs9CgAAAIBTMVGwldK7gMZK7wIaK70LaGq2dVOzbZ+q9C6gqdn2OXlGV3oX0FjpXcACSu8Cmprt\nMSTP2OQZ32yZ9CgAAAAAFqNHwfIjWU+5yyiT5ZnNbNtHjwLYj2PCziPpUQBAN3oUAAAAAKdiomAr\npXcBjZXeBTRWehfQ1GzrpmbbPlXpXUBTs+1z8oyu9C6gsdK7gAWU3gU0NdtjSJ6xyTO+2TLpUQAA\nAAAsRo+C5UeynnKXUSbLM5vZto8eBbAfx4SdR9KjAIBu9CgAAAAATsVEwVZK7wIaK70LaKz0LqCp\n2dZNzbZ9qtK7gKZm2+fkGV3pXUBjpXcBCyi9C2hqtseQPGOTZ3yzZdKjAAAAAFiMHgXLj2Q95S6j\nTJZnNrNtHz0KYD+OCTuPpEcBAN3oUQAAAACciomCrZTeBTRWehfQWOldQFOzrZuabftUpXcBTc22\nz8kzutK7gMZK7wIWUHoX0NRsjyF5xibP+GbLpEcBAAAAsBg9CpYfyXrKXUaZLM9sZts+ehTAfhwT\ndh5JjwIAutGjAAAGcvbszTlz5sziX2fP3tw7KgCwQiYKtlJ6F9BY6V1AY6V3AU3Ntm5qtu1Tld4F\nNDXbPjdynttvf2Xqp7vbfD1l69+p44yq9C6gsdK7gAWU3gU0NfIxYRfyjE2e8c2WSY8CAAAAYDF6\nFCw/kvWUu4wyWZ7ZzLZ99CjgWvMY2nkkeXYdacJMAOxHjwIAAADgVEwUbKX0LqCx0ruAxkrvApqa\nbd3UbNunKr0LaGq2fW62PLPtb/KsQeldQFOzHRPkGZs845stkx4FAAAAwGL0KFh+JOspdxllsjyz\nmW376FHAteYxtPNI8uw60oSZANiPHgUAAADAqZgo2ErpXUBjpXcBjZXeBTQ127qp2bZPVXoX0NRs\n+9xseWbb3+RZg9K7gKZmOybIMzZ5xjdbJj0KAAAAgMXoUbD8SNZT7jLKZHlmM9v20aOAa81jaOeR\n5Nl1pAkzAbAfPQoAAACAUzFRsJXSu4DGSu8CGiu9C2hqtnVTs22fqvQuoKnZ9rnZ8sy2v8mzBqV3\nAU3NdkyQZ2zyjG+2THoUAAAAAIvRo2D5kayn3GWUyfLMZrbto0cB15rH0M4jybPrSBNmAmA/ehQA\nAAAAp2KiYCuldwGNld4FNFZ6F9DUbOumZts+VeldQFOz7XOz5Zltf5NnDUrvApqa7Zggz9jkGd9s\nmVrnub7pvwac6OzZm3P77a9cfJwbb7xXXv3qVyw+DlxrHkPAUY4JsDuPn/Fdq210JXoULD+S9ZS7\njCLPriPJs8soehQMzz6380jy7DLKZHmS+TLNlgeuJY+f8V3LbRQ9CgAAAICrMVGwldK7gMZK7wIa\nK70LaKz0LqCx0ruABZTeBTQ121q92baPPKMrvQtYQOldQGOldwFNzXbMlmd0pXcBzdlGV2aiAAAA\nAHgDPQqWH8lavV1GkWfXkeTZZRQ9CoZnn9t5JHl2GWWyPMl8mWbLA9eSx8/49CgAAAAAhmKiYCul\ndwGNld4FNFZ6F9BY6V1AY6V3AQsovQtoylq90ZXeBTRWehfQWOldwAJK7wIaK70LaGq2Y7Y8oyu9\nC2jONroyEwUAAADAG+hRsPxI1urtMoo8u44kzy6j6FEwPPvcziPJs8sok+VJ5ss0Wx64ljx+xqdH\nAQAAADAUEwVbKb0LaKz0LqCx0ruAxkrvAhorvQtYQOldQFPW6o2u9C6gsdK7gMZK7wIWUHoX0Fjp\nXUBTsx2z5Rld6V1Ac7bRlZkoAAAAAN5Aj4LlR7JWb5dR5Nl1JHl2GUWPguHZ53YeSZ5dRpksTzJf\nptnywLXk8TM+PQoAAACAoZgo2ErpXUBjpXcBjZXeBTRWehfQWOldwAJK7wKaslZvdKV3AY2V3gU0\nVnoXsIDSu4DGSu8CmprtmC3P6ErvApqzja7MRAEAAADwBnoULD+StXq7jCLPriPJs8soehQMzz63\n80jy7DLKZHmS+TLNlgeuJY+f8elRAMAizp69OWfOnFn86+zZm3tHBVi92Y7Z8oydZ0a2UXsmCrZS\nehfQWOldQGOldwGNld4FNFZ6F7CA0ruAy7r99lemzkRv8/WUrX+njjOq0ruAxkrvAhorvQtorPQu\nYAGldwGNld4FXNZsx2x5xs6zm9K7gCuyjRI9CgAAAIDF6FGw/EjW6u0yijy7jiTPLqNcszzJfJnk\n2WkUeXYdSZ5dR5oskzw7jyTPLqPIs+tIjnG7jnIN8xz85zhnFAAAAABvYKJgK6V3AY2V3gU0VnoX\n0FjpXUBjpXcBCyi9C2is9C6gsdK7gMZK7wIaK70LaKz0LmABpXcBjZXeBTRWehfQWOldQGOldwGN\nld4FLKD0LqCx0vRfM1EAAAAAvIEeBcuPNN06Fnl2GEWeXUeaLE8yXyZ5dhpFnl1HkmfXkSbLJM/O\nI8mzyyjy7DqSY9yuo+hRAAAAAIzERMFWSu8CGiu9C2is9C6gsdK7gMZK7wIWUHoX0FjpXUBjpXcB\njZXeBTRWehfQWOldwAJK7wIaK70LaKz0LqCx0ruAxkrvAhorvQtYQOldQGOl6b9mogAAAAB4Az0K\nlh9punUs8uwwijy7jjRZnmS+TPLsNIo8u44kz64jTZZJnp1HkmeXUeTZdSTHuF1H0aMAAAAAGImJ\ngq2U3gU0VnoX0FjpXUBjpXcBjZXeBSyg9C6gsdK7gMZK7wIaK70LaKz0LqCx0ruABZTeBTRWehfQ\nWOldQGOldwGNld4FNFZ6F7CA0ruAxkrTf22fiYKHJXlekj9I8kVtyhndhd4FNCbP2OQZ32yZ5Bmb\nPGObLU8yXyZ5xibP2GbLk8yXqW2eXScK7pLkW1InC941ycOTvEurosZ1W+8CGpNnbPKMb7ZM8oxN\nnrHNlieZL5M8Y5NnbLPlSebL1DbPrhMFD0nyP5NcTPKXSX44yUc2qgkAAADoZNeJgvsl+eMjt/9k\nc9/kLvYuoLGLvQto7GLvAhq72LuAxi72LmABF3sX0NjF3gU0drF3AY1d7F1AYxd7F9DYxd4FLOBi\n7wIau9i7gMYu9i6gsYu9C2jsYu8CGrvYu4AFXOxdQGMXm/5ru14e8R+nLjv49M3tf5rkbyf57CM/\ncyHJe+5eGgAAALCQZyW55aRvXL/jP/inSd7myO23ST2r4KgTBwQAAADmc32SFyQ5l+RuqWcP3Ama\nGQIAAACX8w+SPD+1qeEXd64FAAAAAAAAAGhp12aGdxbvluTvpi6xuCO1leRTk/xOv5J2dtckH5pL\n8/xRkl9J8gtJ/qpbZbuzfbjWbkry0Fy6z/16klf1K2kvs+U5cPfUPP+3dyEN3JDaB+iO1F5Ar+1b\nzs7uneRjc/Ix7glJXtatMk4yw2No5ufVGbbPUbPkme05dbY8noe2ZKLgZP8s9QoOL0/y9CR/lvr/\n6r5JHpLkLZL8pyTf36vALf371CtV/HoO81yXwzzvk+SJSb6iV4Fbsn3G995JHp6TD8Y/mOSZ3Srb\nzfsn+TepWZ6ZS/e590p98vzaJL/ap7ytzZbnuiQflbrPve/m9pkkf536uPqBJD+Zuh+uwY2pVxX6\nhNTj2UtT87xV6nHvB5I8NslrehW4pe9K8oAkP5d6jHtxLj1mPyx1GeM/71XgDmY7xs32GJrteXW2\n7TNbntmeU2fLk3geoqHPSX2hdjlnNz+zFh+RK08KXbf5mbWwfcb2s6lP8h+f5O1SPym4R5K3T33j\n8wNJ/mu36nbzjUne8Qrff6fNz6zFbHl+Jcn/m3qZ3jc5cv+bpL4h+MrNz6zFL6VOFNznhO/dJ8m/\n2PzMWpzmUsnvsXgV7cx4jJvtMTTb8+ps22e2PLM9p86WJzndc4znIWAVrkud8FijtzrFz9x78SqW\ncZfeBXCiN7n6j5zqZ+A0ZjzGeQyNbbbtM1se1uUeSR7Yu4g9zfg8tCoflOTHk/zu5uuJST6wa0X7\nu3eSr0897eYpm6//3rWi/Tww9VO1g54E75nk/+lXzt5+KHVy4IbUfe5Pk/zbrhXt71ySD978/U1z\n5TNB1uCFSb4uybv2LqSR+6Sejvfzm9vvmuTT+pWzt5tP+Lpr14r28+NJPix14nDNnnOFr2d3rKuV\ns7l0n1u790/yKZu/v2Xqp1VrdGuSZyT535uv30ryiJ4FNTDbMS6ZZ39759RP2X928/X1Wf+b0dle\nIyT1TKLnpy6fSOpSiid1q6aNc5nrtfbwPizJH6YeuG5J3Yk+NfVNwod1rGtfT05de/O8JB+Q5LtT\n1xit1a+knrZ2sAbnTNbZyPDAszZ/flKSb0h98n9Ov3L29i+S/GaSF2xuv1PWdbr0Sc6m5npakt9I\n8hlZ75kfSX3y//gcvlm7a5Ln9itnbxeTvD51Hf/LN3//s9Q3Cw/uV9bOPiR1neELk3x11vui89zm\n62s3Xw9KPcXzazZfa/UZSV6Suib0DzdfL+xa0f4eneSnk/z+5vb9kvxat2p294jU1wYfmNqQ7V6p\nHwD9dpJP7ljXvi5mrmPcozPH/vbQ1DXv/zHJRyb56CRftrnvoR3r2tdsrxGS+li5KZeu319zphlf\naw/vl3Pymsr3yLrWTB33jM2fRz/B+a0ehTRyUPvRB/uFHoU08jupB+EnJDm/uW/Nn7Y9K/XUwaPb\nZ80TH8edTz3r438neXySd+hazW5meww9NsnfP3L7Q5P8l9QXak/vUlEbNyX5l6lXPXha6iT2Gj9F\nPGnfWnOzpf+Z2mxyJs9KPYPl6HZZ4/PQb+TkT6bPbb63VrMd42bZ334+h6/bjvqA1LN412q21wjJ\n4eN/7fvcgUVfa6/9dMalvFUOP9096tlZ93qPv9j8+ZIk/yi1W+a9+pWztz/PpW/O/knq7O1afUfq\npwX3TJ2QOpf1XoImqZc5Onqpo+uzng7Gl3N96qcFP5nkMalnfrx96iciP9uxrl29JsmbH7n9Pln3\nPvfQ1MueHfjFzX2/nuRuXSra35unnkL9z1Mne78p9ZPDJ3esaVdnkvydI7ffL+u++tILk7yudxGN\n/d/UT6kP3NCrkD3dmHqGx3EXs+7Tcmc7xs2yv719knLC/b+8+d5azfYaIakfyn1S6uu5d0zyzakT\n8Gs142vt4T1jx++N7sNTP5l6UOoB7RlZV9ff4x6QenrN61JPvfu11DfXsziT+oBfq69L8qWpa8E+\nJMlPpHY5XrMXJnlc6uWcjvvma1xLCw9OfYJ81ebPP8jpOtSP6slJvijJ26YeC/5tkv+W2oRyjcfu\nn0jye0m+JPUSTkf99rUvZ28PTp1w/6PN17NSJ6zX6r1T83xH6uP/m1Mnctbs36Tm+cPUU1r/R9Z1\nFaEDs76Om+0Yd2fY39Z81tRsrxGSOhn1lalnS/xW6uvSu3etaD+LvtZe80z+kl6Vyy8xeP/UN9uM\n44bUs2Nu713Inh6VOgt48Lg8mBH8sj7l7O261E9BP3Rz+xeSfGfWPdN5Y9a/nx1199TrVj8wdb97\nfup2+z89i9rDW6Y+jt5vc/vXUteMvirJ/VNPFV+TD8q6G85ezpul7m+39S5kT7+V+lrhOamfip5J\nPb49vmdRDXxoLj1ur/Hsldfl8o/3B6Q2/Fqj2Y5xyRz725+nNqQ+6X3Vx2fdZyPfNYf9cZ6f5C87\n1tLCx6Yu8b3afWtxl9QGk4u81jZRcLLzV/jeHamnEq3JlT7pvCPrm739Z0m+L8kX5NIHwsGLtLVd\n2/XAF+Ywzz1Sl4f8bmojzTX63CT/6RT3rckDk3xraifgd0udWf/wJF/Rs6g9PCNv/InuSfetzQ1J\nXtu7iAbukeQzU0/XvyPJU5N8W9Y7kXOf1E867pfkYakdtB+a2lV7jZ6Z2uyY8Zy7wvfuSD2jZc1m\nOcbN4ta88Ruzox/6rG3y8O+lnrH7j3PyB1g/3qOoRk46bjuWX8aaT2teUrnM/fdP8glZ30TBb+fw\nwX30wX4m6/x09+CTgBtz8kTBWn39sdtfl7r+cK1uzRtPCnzKCfetyWNTT5X89s3tZ6d2pV/bRMF9\nk7x16mPpvXP42Dmb9X7SltQlId+Zemx4m9SJnM9IfbO9Rt+b5NWpp7OfSfKJqZOkH9uzqD18T+rV\ndr50c/sPkvxo1jtR8HOp+9eTcuka0Vf0KWcvv5b6KfVr8sbPowfHhjW5eJn73z/1ddxnXbtSmprl\nGDfb/vY9l7n/HqkfJqzN302dKPjwnPy6eo0TBf8gyT9Mnag+eE5N6mNpjWdJPCH1tcBzc/Jj6D2u\neUV3UvdOfUL51dT1yd/Qt5wm1tos5s7m5qzzNMKHpzb3u23z58FXyfov2TJLB+BHJHlK6jKKpxz5\nelKSj+lY176enjqhe3T7rPmSqb97yvvWYpbHz4GLObws4tEvxvLeqRPvf5T6PPTZXavZz2zHuBnd\nJfVS6t+f5KVJfqxvOWy8Z+oHWC9KfQ106+brY7LOxu5vvfnzoF/J0a+3bTWIMwpOdjZ1x3l4alf9\nn0y9zM79ehbVwPGZ6FtSm8esbSb6wL2TfHrqg+JgX74j6z1V/+jlTK5LzbfG/gRPS736xFumniVx\nMGt7e06+msiazHKljcdvvv5Jkid2rqW1Fx27/VddqmjjGTnsaJ7UjtNrbGJ4YLYO2ud6F7CA70td\n3ne1+0b3wNTXcB+fetx+Qupz0fmONbUy0zFulv3tTOqlEB+e+qn1b6SevfJ2qZdQXqu7py4/OJdL\nX2ev8bXpszZfP5jDq8Ct2Z9t/vzM1AanR33NCfftxETByV6a2kzlUakdWJN1f8p24DGp60J/anP7\nQuqBba1+KrWR1JNzeHmdNS89ODg97Y7UJ/6XZZ2nQx10NH+f3oUs4F+nXrP6nVMP0n+YepmdtXpi\nai+Md82lXX/X+CIgqS+gD5p83S21/8rv9StnZweThtennqL7x6nHhfunNpNaqy9IPbvo7VMnFN8y\ndbJqzd49b/z4+d5OtbTw7sduX5/a+Xxtfi/JzyT5+zl8Y/35/cppZpZj3IFZ9rc/Tj3b63Gp+9lr\nU18frHmSIKmvs29LnaBea2+c486lXvXgXVOXhiT1+XWtl7H80LzxpMA/POE+Gnpk6mzgM5L8u9QO\nuTOcTvj0zZ9HT1lb8ye8az5l9XJuST0t8l9n/ZegeWiS30z9FPEvUydzXt21onZuyLqvxX3gO1Lf\n1PxJ6sToc7Pe9eJJfeP5g6mTbH+e5Ady6SfYa3Eub3wa4dHTC9fsrqlvDt598/eH9C1nL49OXbLz\nstTeCy/Jes/Q+ZLUs77+avPnwdcrknx1x7p29VFJfiR1eci3pzZnu9ixnlZmOcbNtr89JnV58k+k\n9sC4IXO8b3hu7wIW8GtJPji1x9Tbph7Hv7xnQTv6V6kfKvzvzZ8HXxdTjwtcAw9Ibbr0nNSZtC9K\n8k5dK9rPE1Nnop+ZOhP9hUl+uGtF+/mK1HVgs/jc1IPyl6UetJ6T9V2R4qjfTvKOqfvbXVIbGa7x\nBUBSPwk9+Pr8I18Ht9fq4JPrZ2/+vGdqPxbG8eDUY8NnZ71Xo7gu9fTVf5v6SUeS/M3UZq1rnvB9\nbuqx7WDC/a1Sr2m/Zms9Rl/OPVPP+vqZ1E95vy2HlxGjv5n2t+tSL2n72NTJ99ekLn25Z8+i9vRf\nMl9TvGds/nzOCfetyZulfnDwwzn8MOFt03ji0OURT+9BOVzv9oDOtezqLVM7zn9w6rb/xdQ3oi/v\nWdQeXpPaof0vcniK/hq75R54Turp+geXPLohdenLg7pVtJ/fTn2T8+wcPtFcSD1rYm0enZOXtRxc\nLdxtPe0AACAASURBVOA/XtNq2nl66ie6/yP1jdzLU9/8vMOVfmlA35xLL+F01BovAXvgP6R2Nf7x\n1GwfmTrhu7ZPP74zda3u01OXu704dfnOl6b2AFqr30zyt1KPdR+UesbU83J4zfG1+sjUrucHl4P+\n6b7lNHNz6lKXT0jdXmsy6zEumXN/u1vqspeHb/5c41kfSV3W8g6pZ0ccXNll7R31n5baP+KJqQ22\n/yzJV2Xdx+1bUjMdXEa52dniJgpgHM9JfdP2us3te6S+sF7rRMGvJPmQ1DcJL049LfcRWf+Sipn8\n+yTfkvqi+T9v7nvs5v41+cvUCY4fzWGDnzVfw/rA76e+IDtYG3qP1BcAazuz7bmpOV6fupb/JakT\n7mudpD7wramTHR+fenbRa1PPoPqUnkXt6atTJz9+IPUx9AmpV6v44p5FMe0x7s6wv71p1tur4Nxl\n7r94DWto7SGpEyA3pU66n03ytTnsSbc2n5va2P3gA4WPSn0d900t/nETBXcuR2ekDz4dfXXqpyI/\ndblfGtz9Uk+1OdqY81c61bKvz0+9VMvRB/v3JPn/+pW0l3OpjUHvluTzUg/G35p1XvLxwD2SfFoO\nm+AcPI7WdqWNN8sbd5u/++brHVOPCWvyFqmfvH9ckr9OXZv8hNQmTGv2lNRGuq/c3L5X6qW21vZp\n6DOTvNcVbs/gXOox7tlX+bnRPSf106m/3ty+S+qZYGudsJ7FrMc4+9v47pK6rOro6+zjV95Yg3uk\n9pZ62bH7753aH+N1b/Qb6zDb2ch09NjUN9GfnXqa2i+nvhF9UmojlrX5mtRZzZ9NPVXt4GvNDtYj\nf07W+0L63kne7YT73y11+cuaHZz2/cLUsyOenEazttfYb6Wehnvch6aurVyzv5Haf+XPsr5LbB34\n5s3XT6bm+J7N15+mNstam9fl0mZLR5svrfGN9bnUT6MOfFDqceDzUydG1+zZufQ06TfPOrfRzGY4\nxh2wv43ts5P8r9QrOhw9hq/RY1OXWB730am9S9bqOTm8ekM2f1/rNqKz38ilM4LXp846XZ91Xl7n\n95O8Se8iGrtX6qn5D05tXLbG5mU/kpMvu/l3U7s1r9lB47WDFzJ3TX1crc2np57Cfu8j931i6sTb\nmtcePjjJ16Vup+9KPfNjjW5NnYi69YSvR3SpaD/nrvK1Nk9P8tabv9+SuoTiC1KvIPKdvYpq5OGp\nl7d9/ObrYurp4IxhlmPcAfvb2F6Q9fZXOO5KDQt/95pV0d7np74mfXRqv6xnpZ7FSwePT511On7d\n17V4fi79FOSm1DfbyaWXTFyLn8scl6g78OWp1+L95dRTjg++1ua3r/C937lmVSzj4BKjT009rest\nU88uWKN/lrrm9b6pl4R9Xtb5pi2pj53fTvL9Sf5R6gQOLOXoJ55fn7q+Naldz2f4JOetk3zE5us+\nnWtp7b8l+fnU48SazHyMm3l/+8rUK6at9c32UzLPvva8Hb+3Bg9OPRO5+dnI11/9RzjiPye5f5JP\nTr3M09p8beqEwC9vbn9A6kHshqzzkk6vS51V/6Vc2o11rd1/D66o8Re9C9nTlSZv1v6E89jUU/b/\nn9QlO/fM+hr/Hfi+1MfNhdRPdN4/9brca/SlqV2Z33Pz9VVHvrfmDs0nXYf7jiRvf60L4RJH+zv9\nvRw2Xnt9h1qW8LdSzwBL6v629iV9Rz0idXL0b/cuZEuzHuOSufe330x9XfeYrHOZyB+mThb81xy+\nNr0jyTd2q2h3L0t93B8/C/QheeO+BWvz1znsmdX0eUgzwzuft059UNyRegD7syv/+NBuPeG+NXf/\n/Ykk/zK1AeCa/WzqpNp/PXb/P0xd7/YPrnlFHHf0U89zqU+SB12Z1/ii89xVvn/xGtSwhLc48ve7\np17a7c2z3smpWXxT6pvNFyf58NTLav1F6vPrk5L8zX6l7W3GLvR3S/IuqS+gn591Tsafu8r3L16D\nGpYw2/725ln/1VyOevTmz4M3oWu+JPRDUq8a8j2pZ+ecSf0k/hGp+52rHpzARMGVPTC1Ycy5HJ59\ncUfW13H6qPvlMM/BA3+tVwk47v6pD/avvdoPDupvpV594rm59AyJj+hW0W7eKcnPpF6r9ujB+H1T\nT5l8fr/SdvYFR/5+9MohB3+ubXb93FW+f/Ea1MBunpF19i6ZyXWpZ4DdJ/WF559u7n+v1L4fv9Cp\nrhZm60L/YUm+PYdLxN4+yWekTmjT32z72x+k1v/dqctj77jyj6/OPVInR3+0dyE7eqskn5XDhtu/\nk3qJ6DWfUbDoVQ8sPbiyJ6T2JPjOHB7E1vyg/5rUFze/m8M8ybonCu6desmgh6d+mrPGjuAHvjd1\ndv25OTx1aI3728G13z8xhwfjX059cfZ/LvdLg7sxhxMDn5H6wnPNLvYugFN5cA6PAdelflJ9l37l\nNPf41DNZ/nPqcW8tXp/kh064f429fo67I7V/0cGnojdlnc9DB74xyQfm8LK8D0idJDBRMIbZ9rcH\nJvng1Esmf3PqG+rvzmE/sDW6S5KHpb7O/pAkv5r1ThS8NMl/6F3EAl5/mb+zsCs1ZVujWa4ScDZ1\n2cEvpHZk/YYcfqKzZmu7dv2d1QxvBliHksOmpk9OPZ3wgT0Lauwhqcsp1noW2Ixm60J//Hn1zAn3\n0c9s+9tRH5S6vPdVqR+WvG/fcrZyJsn5JN+R2mT7ialvst+0Y02cbNGrHlh6cLKbU//ffHZqc68f\nz+Gp4Enyih5FNfBzST4uye29C9nT61JfNH9lDtcU/WGSt+tWURvfmLqfPSmX7m9XuqQL194z07ir\nLEBnH53k11JPwb1v6lK4pL6pfnGvohr49tRliQefgH5skhelvoZI6us7rr1Z97e3SPJJqU3PX5p6\nRvJPpzagfGLWc2WhP0k9+/hxqfW/NnO8zp7JLamTAneknn34fpv7n5qGH2hZenCyZ+TSU5++8Nj3\n1/pAmeUqAV+cOgv9ralP/k/oW04z7526Pd7n2P0f2KEWmMFaT21/xObPo89DZ47c/t5rW04zM/b9\nmcU/TV2r+7rUN3BP2/y55jdtSW0C+rLUqzwl9cOfu6eus07WP1Gw1mPcrPvb01IvYfmRqW+2D/xW\n1rVk8Ymp/bE+fnN7pitRzOK7Unuu/Fbqfnfw1fTDYGcU3LncesJ9a75KwANST1H7hCTvmORRqT0K\n1roW7Pokf9W7CE509CoBD0hd8nJgjVcJuJy1vui8nIekfpr4kKzrkrbfkjdep3sm9c3N38h6+xQ8\nO7XvzzNyad+fWZb5zfD4ebvUU6QfuvnzbVJfiLpazZjWeow7MNv+dl3mWSN+Xeryg4enbo+bknxa\n6hWtXtOvrOa+MnV5yHdmfVesuCH1sX/wGHpI6mTb05L8q4513Wl8VpJ7Hbl9rySf2amWJdw/63xi\nOcmDUh/sL7jaDw7shUm+Lsm79i5kIY9PfZPw7r0L2cG5q3zNwprx8VyX+unbc5L8SNY9KTXLhMDl\nzPL4eZfUNwSPSz39+Cl9y9nL26R+gPDnm68fS51sYxwz7W/3TvL1qUt9D/rL/PeuFbVxt9SJ6h/M\n+t5MX81Hp57p9n29C9nDPZP8vdQPTF+QukykCWcUXNmzUtcVHXUhdV3IWp10lYAvuOJvcK2cTT07\n4tbUTwwfl9pZ+9Uda2pp7Z98ML6ZTm2/a+oShC9M8hupE6FrvLRoMm/fn5l8aeonUm+Zup/9emoP\noGfn0qskrc1/S/IDqaeDJ3X9+Celdm9fkyud+r3GyyjPur89OXVC9wvz/7d351FylWUex79JAwlO\nWANxWJw0i6BAWARZFEJABh2QRZSRgCMY9CiyBBxUPIqizEhE4CgMHBFHNmHEIMoiihmWsCVAFkhY\nZG9wYxN0AAEVev743WtVF5VK6Fre+z79+5xTp7tvVXc9ldxb9a7PowpJh6D3vEhtnjehlVO5Gk+M\nwY6D0EqCLdHn6R3oGpoDPNGpJ/FAQWuL0UBBuYyoD72JbbrE36imlYH90ODAhsBPUYd0nZRBWUtT\nUONmNZSD4URq5Z3MOiVSxxriLG0/AuWOuRbNTndsdiCRAVqXPMs170+k6+d+tJz4StTQvA34Y9KI\nOqPZhE+zY1U3ZSn339CDGDop6vm2AOWbWkRt9dc8VNrWquFBNOl7Llr5kWs5zhfQdfQdVOa+KxMJ\nHiho7RQ0A3o2tfrpj5PfDHzUKgHRLAfsCXwMNTwvQMu8dkT/dxsli2x4IjWio4rSsS7NR9l/c/ca\nSsD2dJP7IuXEyF2062c8tb2u2wMroQb1HLTCLUfXoQ7BxagddwD6jH1PyqAMiHm+zUWv5ZfA6ag8\n4kyU28iqYTSwGzANVdv4EXqPyC2/2XJowLPM7/E2avkJ5hBjy0vljUbJIC4tbp8kzyRSR6PR2gXA\ncegNK/cZqogeQR+OzWrtntHjWDphEbp+tkOj6dsQoxMXSa4dmkaro0bnCSi3zFrFsfKWm/6l3HIV\nLe9PlOun0fLofftzaL9rzsnZJqJZ6zJHweVoAihXG6H26H2oHfcoajvkLNL5thdK+jcJrfJYQH7b\nQkaSXdFgzp+A2TRvf+fizWh738PkvX0nK9OX8VguNkD7whYDLwOfJ79Z6lZyTpYHGk2PJGojul6u\n51y0jvUAtUZzs5tVw11Njt3Z8yjaF+36AZVz+waqwf0ccHPx8z4ot1GOlkNb+CK5Bc2GLkKDICeg\nrYm5iXi+gUpvRvZ11HcYnzqQNqyB+nLzgavR1uzl0WTWQLqw3rAt0GTchWhw4NcoP8Z0tFKiI7z1\noLWFwFYNx3JPZliahHIWfJg4S6JyT5Y3AfgEr1+qPy1VQMM0khKX5XrODRBzz7hVW5S8PwPEu35+\ngjprt6JZ0FdaPzwbN6NtBlFeT7kHfjFqx9Ufy0nU8+0htG3sJrRv/GY0Wx3FB1CfYQvg3xLHMlwP\noOSm3wd+03DfccCMnkc0PAupXUO3Ao9140k8UNDcVOBAYCd0sZdWQss5vLfNumEO+mCZT60hPYjK\nOeVkgHiNaMvD4Wgv8nPFz6uh9/OzkkVk9aLk/bF8XIj27l5BLVP7IHBasojacytqm16Kkp3+DjgJ\n5QSyapiIckvtCOyBPo9ynWCMUiGg3mjy3t7SUx4oaG4i6szMQEtsyn+n59HSyb8lisuGipYsL8pq\nlciinXPROtYRS9pGMhoNDpSD7bOA75Hvfspo109EJ9R9Xz+A/dUex9Ep26L8BKuiLQcro8ooc1v9\nkvXMusDk4rYlWkF5ExrMyVGUCgH1JqAVoJtS2yqSczvOzJYgWrK8/0BVD6KIlrgM4p1zUfaMlxaj\nzmipD7gnUSzdkGtOjFK0vD/Rrh/Lxzji5TWK4DWUPHxfYkzGjgZ2B36I9sGfRP65zWYBHwd+BeyM\nBkFOThqRZWsH4A5Uq/Kv6A3g/5JGZPWiJct7AZ1jL6PVK8+T9/kWsREd7ZyL1rE+BZU6eg9K+DUT\nODVpRJ21LfAh8m3ULGxyLOf3hGjXTzSHoP3vfy5u84CDUwbUAZPQdfR4cZtPvgOHEW0BHIGSys1B\nZa4/njSizolSIWBB8XVR3bF5KQKx/M0H3orelPtQ7d1cklwsi1xnpyJmnI4oUiM66jkXrWMdpaRt\nNFNRibo/Fl/L2w1on3Wuol0/zeTaTjgYtd12Qcv0V0MdnfnARxPG1a456DWVpqC8BVHker7VWwl4\nH6oQUA7o5CpKhYB65TadXwLvR4lAH04XTsdFqEyRjXL2sH7UKefZj0a5zk4NELcU2j6ooXkKqseb\ns0iN6AFinnPROtbRlrZvDJyDlkpeX9yuSxrR8ExEHZq5aKnnlOK2NbVcHzmKdv00k2s74TaaJ87t\nL+7LVbOVes2O5SrX8600D7gb+C7wEfTel7MHgC+j3AuNjutxLJ2yFxo8nIQGqxcAe6cMqMM+gHJp\nXZg6kJHgRmAM+sc+GfgMsd6QrVpmoNm1acChqHOQawIcGBmN6NxF61hHW9oeLSdGNNGun0juHeZ9\nVfdT4Hg04LEe8CVUatCqYULqADps9NIfkp2xS39IVrq6ciBCoo1u6geeBFYAjkHZZc9CdVJz5Izt\n1bYYZcktM4D3oU7OpCX+RrVNB769DMdyEu2cWwhs1XAsxyoBUUvazifWwMAOwOnA29EgfB/KzbJy\nyqDaEOX6qRelnbAALSl+o/dV3eqoYsO7i59vQlvinlvSL1TUlS3uGyTvGd73A5sAK1KrEvC1dOG0\nJWKFgIeAp9C1cyNwM8q7kKuuVqbwQEFzE4A1ef1+6k3RyfV0zyPqjEVo79cCap3RQfJN0BatFNoi\ntPewrFk7Hi013jxZRO2J2IiOcs5F61hHK2m7OnoNR6LPm8uAV+rufzZFUB0wHzgAbUnaBu0V35j8\nlrBGu37qRWknvMSSJ3U2AN7Uw1js9aYs5f4behBDN5yNBgh2RdvG9kdbXQ5NGVQbZqHEjMeiVaGH\noM+kzyWMqRMmAjsWtz3QQFtu7bjSaLS9dxrwTvT5ei7aNmJdcgnaR9loMppNzFVuH/RLEylZHqjx\n+RhK5nM+2hd/QMqAhilq4jKIc85F3TMexQAxc2JEyfsT+fqJ0k7oX8otNzsxtGLDj6nlLMl5djea\nxcXX8j1uHJqxzlXECgHrooHe76D38KuBLySNqHOiVKaovFYflDl2CpyxPR9ro4SGewP/mDiW4Yrc\niI54zkXikrbV5rw/1RWtnbAsK2ZzWlV7HVrVWlqMPlMnA9ckiagzNkI5jO6jNhD6SNKI2nN78XUu\nsA5arp/rdmWIWSHgNbTKY1/yeg9YkoiVKSqv1XKNHJdyDBBzdipisrx10N7DnVEDYHLacKxBtHMu\nWsc6Wknbw1EejNJqwKcTxdIJ/WhZ7iqoQ3oasGHCeNoV6foZIFY7YTbwWdQRbbQx2qJ0Y08jak/j\nLG59AsOcyyPeggbdF6FJhhOAE1MG1KYvo/fpDwJPFLecX0/ECgFbAEeg1eNzgAuAjyeNqD0RK1NU\n3tXAnk2O74ESRVg1RMs4/Q3UWLuaoUv2cxWpEV2Kds5F61hHWdpeajbbnuPrmcDQ2dDSpigfUK6i\nXT+RjEF7dmcBv0eN6QeL72ehvdYrpApuGFrNSuc8w1subV/c5FjuxqJOds6iVQgorQS8D/g68Hhx\ny1XEyhSVtxH6UDkPJZM6Cu0ZfxCNROcq2uxUtFJoD6DGTRQRG9HRzrloHetoS9uj5MSInvcnyvUD\n8doJoOvmzcUt1xVgV6Gl3432An7W41g66Vb0f/ITNMu7H3B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"text": [ "" ] } ], "prompt_number": 351 }, { "cell_type": "code", "collapsed": true, "input": [ "player_set = set([])\n", "label_list = []\n", "for i in range(0, 7):\n", " label = \"Player \"+str(i)\n", " label_list.append(label)\n", " player_set = player_set.union(set(point_data[label]))\n", " __\n", "print player_set" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "set([nan, 'AD', 'Snow', 'Angela', 'Phebe', 'Hewey', 'Annie', 'Wootie', 'Puppy', 'Red', 'Cate', 'Turtle', 'Nubby', 'Meg', 'Paige', 'Sam', 'Alicia', 'Haley', 'Mira', 'Allee', 'Kate', 'Lina'])\n" ] } ], "prompt_number": 352 }, { "cell_type": "code", "collapsed": false, "input": [ "if nan in player_set: player_set.remove(nan)\n", "player_set" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 353, "text": [ "{'AD',\n", " 'Alicia',\n", " 'Allee',\n", " 'Angela',\n", " 'Annie',\n", " 'Cate',\n", " 'Haley',\n", " 'Hewey',\n", " 'Kate',\n", " 'Lina',\n", " 'Meg',\n", " 'Mira',\n", " 'Nubby',\n", " 'Paige',\n", " 'Phebe',\n", " 'Puppy',\n", " 'Red',\n", " 'Sam',\n", " 'Snow',\n", " 'Turtle',\n", " 'Wootie'}" ] } ], "prompt_number": 353 }, { "cell_type": "code", "collapsed": true, "input": [ "players_df = point_data[label_list]\n", "for player in player_set:\n", " print player\n", " this_player_boolean_df = players_df.isin([player])\n", " this_player_boolean = this_player_boolean_df['Player 0'] | \\\n", " this_player_boolean_df['Player 1'] | this_player_boolean_df['Player 2'] | \\\n", " this_player_boolean_df['Player 3'] | this_player_boolean_df['Player 4'] | \\\n", " this_player_boolean_df['Player 5'] | this_player_boolean_df['Player 6']\n", " point_data[player] = this_player_boolean.astype(float)" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "AD\n", "Snow" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Angela" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Phebe" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Hewey" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Annie" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Wootie" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Puppy" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Red" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Cate" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Turtle" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Nubby" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Meg" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Paige" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Sam" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Alicia" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Haley" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Mira" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Allee" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Kate" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n", "Lina" ] }, { "output_type": "stream", "stream": "stdout", "text": [ "\n" ] } ], "prompt_number": 379 }, { "cell_type": "code", "collapsed": false, "input": [ "point_data" ], "language": "python", "metadata": {}, "outputs": [ { "html": [ "
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TournamemntOpponentPoint Elapsed SecondsLineOur Score - End of PointTheir Score - End of PointEvent TypeActionPasserReceiver...PaigeSamAliciaHaleyMiraAlleeKateLinawe scoredScore
0 Cackalackee Pheonix 7 O 1 0 Offense Goal Wootie Meg... 0 0 0 0 0 0 0 0 1 1
1 Cackalackee Pheonix 51 D 1 1 Defense Pull NaN NaN... 1 1 0 0 0 1 0 0 0 0
3 Cackalackee Pheonix 102 O 1 2 Offense Catch Wootie Sam... 0 1 0 1 0 0 0 0 0 0
11 Cackalackee Pheonix 39 O 2 2 Offense Catch Haley Wootie... 0 0 0 1 0 0 0 1 1 1
18 Cackalackee Pheonix 99 D 2 3 Defense Pull NaN NaN... 0 0 0 0 1 1 1 0 0 0
22 Cackalackee Pheonix 33 O 3 3 Offense Catch Sam Wootie... 0 1 0 0 1 0 0 0 1 1
26 Cackalackee Pheonix 6 D 3 4 Defense Pull NaN NaN... 0 1 0 0 1 0 0 0 0 0
28 Cackalackee Pheonix 81 O 4 4 Offense Catch AD Angela... 1 0 0 0 0 1 1 0 1 1
40 Cackalackee Pheonix 36 D 4 5 Defense Pull NaN NaN... 0 0 0 1 0 1 0 0 0 0
42 Cackalackee Pheonix 37 O 5 5 Offense Catch Angela Haley... 0 1 0 1 0 0 0 0 1 1
48 Cackalackee Pheonix 42 D 5 6 Defense Pull NaN NaN... 0 0 0 0 0 0 0 1 0 0
50 Cackalackee Pheonix 57 O 6 6 Offense Catch Haley AD... 0 0 0 1 1 1 0 0 1 1
58 Cackalackee Pheonix 27 D 6 7 Defense Pull NaN NaN... 0 0 0 1 0 0 0 0 0 0
60 Cackalackee Pheonix 102 O 7 7 Offense Catch Sam AD... 1 1 0 0 0 0 1 0 1 1
68 Cackalackee Pheonix 54 D 7 8 Defense Pull NaN NaN... 0 1 0 1 1 0 0 0 0 0
70 Cackalackee Pheonix 154 D 8 8 Defense Pull NaN NaN... 0 0 0 0 1 1 0 0 1 1
82 Cackalackee Pheonix 44 D 8 9 Defense Pull NaN NaN... 0 1 0 0 1 0 1 0 0 0
84 Cackalackee Pheonix 36 O 9 9 Offense Catch AD Wootie... 0 0 0 1 0 1 0 0 1 1
91 Cackalackee Pheonix 59 D 10 9 Defense Pull NaN NaN... 1 1 0 0 1 0 0 0 1 1
98 Cackalackee Pheonix 385 D 11 9 Defense Pull NaN NaN... 0 0 0 0 1 1 1 0 1 1
114 Cackalackee Pheonix 90 D 12 9 Defense Pull NaN NaN... 0 0 0 1 0 0 0 0 1 1
119 Cackalackee Pheonix 79 D 13 9 Defense Pull NaN NaN... 0 1 0 1 1 1 1 0 1 1
131 Cackalackee Pheonix 55 D 14 9 Defense Pull NaN NaN... 0 0 0 0 0 1 1 0 1 1
139 Cackalackee Pheonix 80 D 15 9 Defense Pull NaN NaN... 0 1 0 0 0 0 0 0 1 1
145 Chesapeake Nightlock 45 O 1 0 Offense Catch Annie Cate... 0 0 0 0 1 0 1 0 1 1
151 Chesapeake Nightlock 147 D 1 1 Defense Pull NaN NaN... 0 0 0 1 0 0 0 0 0 0
156 Chesapeake Nightlock 42 O 2 1 Offense Catch AD Red... 0 1 1 0 0 0 1 0 1 1
164 Chesapeake Nightlock 82 D 3 1 Defense Pull NaN NaN... 0 0 0 1 1 0 0 0 1 1
177 Chesapeake Nightlock 88 D 3 2 Defense Pull NaN NaN... 1 0 0 0 0 0 0 0 0 0
185 Chesapeake Nightlock 70 O 3 3 Offense Catch Angela Wootie... 0 1 1 0 1 0 0 0 0 0
..................................................................
1985 Chesapeake Hot Metal 186 D 7 4 Defense Pull NaN NaN... 1 1 0 0 0 0 1 0 1 1
1998 Chesapeake Hot Metal 32 D 8 4 Defense Pull NaN NaN... 0 1 1 1 0 0 0 0 1 1
2002 Chesapeake Hot Metal 177 D 9 4 Defense Pull NaN NaN... 1 0 0 0 0 0 0 1 1 1
2018 Chesapeake Hot Metal 62 D 10 4 Defense Pull NaN NaN... 0 1 0 1 1 0 1 0 1 1
2029 Chesapeake Hot Metal 105 D 11 4 Defense PullOb NaN NaN... 0 1 0 0 0 0 0 0 1 1
2039 Chesapeake Hot Metal 137 D 12 4 Defense Pull NaN NaN... 0 0 0 0 1 0 1 0 1 1
2049 Chesapeake Hot Metal 32 D 12 5 Defense Pull NaN NaN... 1 1 1 0 0 0 0 1 0 0
2051 Chesapeake Hot Metal 67 O 13 5 Offense Catch AD Angela... 0 0 0 1 0 0 0 1 1 1
2064 Cackalackee Jackwagon 72 D 1 0 Defense Pull NaN NaN... 0 0 0 1 1 0 0 0 1 1
2071 Cackalackee Jackwagon 29 D 2 0 Defense Pull NaN NaN... 1 1 0 0 0 1 1 0 1 1
2075 Cackalackee Jackwagon 24 D 3 0 Defense Pull NaN NaN... 0 0 0 1 1 1 0 0 1 1
2080 Cackalackee Jackwagon 410 D 4 0 Defense Pull NaN NaN... 0 0 0 0 0 0 0 1 1 1
2104 Cackalackee Jackwagon 47 D 4 1 Defense Pull NaN NaN... 1 1 0 0 0 0 1 1 0 0
2108 Cackalackee Jackwagon 127 O 4 2 Offense Catch Haley Angela... 0 0 0 1 1 1 0 0 0 0
2119 Cackalackee Jackwagon 40 O 5 2 Offense Catch AD Cate... 0 0 0 0 0 0 0 0 1 1
2128 Cackalackee Jackwagon 34 D 5 3 Defense Pull NaN NaN... 1 0 0 1 0 0 1 1 0 0
2130 Cackalackee Jackwagon 61 O 6 3 Offense Catch Wootie Sam... 0 1 0 0 1 1 0 0 1 1
2143 Cackalackee Jackwagon 117 D 6 4 Defense Pull NaN NaN... 1 0 0 0 0 0 0 0 0 0
2148 Cackalackee Jackwagon 54 O 7 4 Offense Catch AD Wootie... 0 1 0 1 0 0 1 0 1 1
2153 Cackalackee Jackwagon 42 D 7 5 Defense Pull NaN NaN... 0 0 0 0 1 1 0 1 0 0
2155 Cackalackee Jackwagon 83 O 8 5 Offense Throwaway Wootie Anonymous... 0 1 0 0 0 0 1 0 1 1
2159 Cackalackee Jackwagon 30 O 9 5 Offense Catch Haley Paige... 1 0 0 1 0 0 0 0 1 1
2163 Cackalackee Jackwagon 96 D 10 5 Defense Pull NaN NaN... 0 1 0 0 1 1 0 1 1 1
2173 Cackalackee Jackwagon 53 D 11 5 Defense Pull NaN NaN... 1 0 0 0 0 1 0 0 1 1
2177 Cackalackee Jackwagon 97 D 12 5 Defense Pull NaN NaN... 0 1 0 1 0 0 1 0 1 1
2187 Cackalackee Jackwagon 318 D 12 6 Defense Pull NaN NaN... 0 1 0 1 0 0 0 1 0 0
2203 Cackalackee Jackwagon 131 O 13 6 Offense Catch Nubby Angela... 1 0 0 0 1 0 0 0 1 1
2220 Cackalackee Jackwagon 45 D 14 6 Defense Pull NaN NaN... 0 1 0 0 0 0 1 0 1 1
2226 Cackalackee Jackwagon 48 D 14 7 Defense Pull NaN NaN... 1 0 0 1 0 1 0 1 0 0
2230 Cackalackee Jackwagon 171 O 15 7 Offense Throwaway Wootie Anonymous... 0 0 0 0 1 0 0 0 1 1
\n", "

280 rows \u00d7 46 columns

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" ], "metadata": {}, "output_type": "pyout", "prompt_number": 380, "text": [ " Tournamemnt Opponent Point Elapsed Seconds Line \\\n", "0 Cackalackee Pheonix 7 O \n", "1 Cackalackee Pheonix 51 D \n", "3 Cackalackee Pheonix 102 O \n", "11 Cackalackee Pheonix 39 O \n", "18 Cackalackee Pheonix 99 D \n", "22 Cackalackee Pheonix 33 O \n", "26 Cackalackee Pheonix 6 D \n", "28 Cackalackee Pheonix 81 O \n", "40 Cackalackee Pheonix 36 D \n", "42 Cackalackee Pheonix 37 O \n", "48 Cackalackee Pheonix 42 D \n", "50 Cackalackee Pheonix 57 O \n", "58 Cackalackee Pheonix 27 D \n", "60 Cackalackee Pheonix 102 O \n", "68 Cackalackee Pheonix 54 D \n", "70 Cackalackee Pheonix 154 D \n", "82 Cackalackee Pheonix 44 D \n", "84 Cackalackee Pheonix 36 O \n", "91 Cackalackee Pheonix 59 D \n", "98 Cackalackee Pheonix 385 D \n", "114 Cackalackee Pheonix 90 D \n", "119 Cackalackee Pheonix 79 D \n", "131 Cackalackee Pheonix 55 D \n", "139 Cackalackee Pheonix 80 D \n", "145 Chesapeake Nightlock 45 O \n", "151 Chesapeake Nightlock 147 D \n", "156 Chesapeake Nightlock 42 O \n", "164 Chesapeake Nightlock 82 D \n", "177 Chesapeake Nightlock 88 D \n", "185 Chesapeake Nightlock 70 O \n", "... ... ... ... ... \n", "1985 Chesapeake Hot Metal 186 D \n", "1998 Chesapeake Hot Metal 32 D \n", "2002 Chesapeake Hot Metal 177 D \n", "2018 Chesapeake Hot Metal 62 D \n", "2029 Chesapeake Hot Metal 105 D \n", "2039 Chesapeake Hot Metal 137 D \n", "2049 Chesapeake Hot Metal 32 D \n", "2051 Chesapeake Hot Metal 67 O \n", "2064 Cackalackee Jackwagon 72 D \n", "2071 Cackalackee Jackwagon 29 D \n", "2075 Cackalackee Jackwagon 24 D \n", "2080 Cackalackee Jackwagon 410 D \n", "2104 Cackalackee Jackwagon 47 D \n", "2108 Cackalackee Jackwagon 127 O \n", "2119 Cackalackee Jackwagon 40 O \n", "2128 Cackalackee Jackwagon 34 D \n", "2130 Cackalackee Jackwagon 61 O \n", "2143 Cackalackee Jackwagon 117 D \n", "2148 Cackalackee Jackwagon 54 O \n", "2153 Cackalackee Jackwagon 42 D \n", "2155 Cackalackee Jackwagon 83 O \n", "2159 Cackalackee Jackwagon 30 O \n", "2163 Cackalackee Jackwagon 96 D \n", "2173 Cackalackee Jackwagon 53 D \n", "2177 Cackalackee Jackwagon 97 D \n", "2187 Cackalackee Jackwagon 318 D \n", "2203 Cackalackee Jackwagon 131 O \n", "2220 Cackalackee Jackwagon 45 D \n", "2226 Cackalackee Jackwagon 48 D \n", "2230 Cackalackee Jackwagon 171 O \n", "\n", " Our Score - End of Point Their Score - End of Point Event Type \\\n", "0 1 0 Offense \n", "1 1 1 Defense \n", "3 1 2 Offense \n", "11 2 2 Offense \n", "18 2 3 Defense \n", "22 3 3 Offense \n", "26 3 4 Defense \n", "28 4 4 Offense \n", "40 4 5 Defense \n", "42 5 5 Offense \n", "48 5 6 Defense \n", "50 6 6 Offense \n", "58 6 7 Defense \n", "60 7 7 Offense \n", "68 7 8 Defense \n", "70 8 8 Defense \n", "82 8 9 Defense \n", "84 9 9 Offense \n", "91 10 9 Defense \n", "98 11 9 Defense \n", "114 12 9 Defense \n", "119 13 9 Defense \n", "131 14 9 Defense \n", "139 15 9 Defense \n", "145 1 0 Offense \n", "151 1 1 Defense \n", "156 2 1 Offense \n", "164 3 1 Defense \n", "177 3 2 Defense \n", "185 3 3 Offense \n", "... ... ... ... \n", "1985 7 4 Defense \n", "1998 8 4 Defense \n", "2002 9 4 Defense \n", "2018 10 4 Defense \n", "2029 11 4 Defense \n", "2039 12 4 Defense \n", "2049 12 5 Defense \n", "2051 13 5 Offense \n", "2064 1 0 Defense \n", "2071 2 0 Defense \n", "2075 3 0 Defense \n", "2080 4 0 Defense \n", "2104 4 1 Defense \n", "2108 4 2 Offense \n", "2119 5 2 Offense \n", "2128 5 3 Defense \n", "2130 6 3 Offense \n", "2143 6 4 Defense \n", "2148 7 4 Offense \n", "2153 7 5 Defense \n", "2155 8 5 Offense \n", "2159 9 5 Offense \n", "2163 10 5 Defense \n", "2173 11 5 Defense \n", "2177 12 5 Defense \n", "2187 12 6 Defense \n", "2203 13 6 Offense \n", "2220 14 6 Defense \n", "2226 14 7 Defense \n", "2230 15 7 Offense \n", "\n", " Action Passer Receiver ... Paige Sam Alicia Haley Mira \\\n", "0 Goal Wootie Meg ... 0 0 0 0 0 \n", "1 Pull NaN NaN ... 1 1 0 0 0 \n", "3 Catch Wootie Sam ... 0 1 0 1 0 \n", "11 Catch Haley Wootie ... 0 0 0 1 0 \n", "18 Pull NaN NaN ... 0 0 0 0 1 \n", "22 Catch Sam Wootie ... 0 1 0 0 1 \n", "26 Pull NaN NaN ... 0 1 0 0 1 \n", "28 Catch AD Angela ... 1 0 0 0 0 \n", "40 Pull NaN NaN ... 0 0 0 1 0 \n", "42 Catch Angela Haley ... 0 1 0 1 0 \n", "48 Pull NaN NaN ... 0 0 0 0 0 \n", "50 Catch Haley AD ... 0 0 0 1 1 \n", "58 Pull NaN NaN ... 0 0 0 1 0 \n", "60 Catch Sam AD ... 1 1 0 0 0 \n", "68 Pull NaN NaN ... 0 1 0 1 1 \n", "70 Pull NaN NaN ... 0 0 0 0 1 \n", "82 Pull NaN NaN ... 0 1 0 0 1 \n", "84 Catch AD Wootie ... 0 0 0 1 0 \n", "91 Pull NaN NaN ... 1 1 0 0 1 \n", "98 Pull NaN NaN ... 0 0 0 0 1 \n", "114 Pull NaN NaN ... 0 0 0 1 0 \n", "119 Pull NaN NaN ... 0 1 0 1 1 \n", "131 Pull NaN NaN ... 0 0 0 0 0 \n", "139 Pull NaN NaN ... 0 1 0 0 0 \n", "145 Catch Annie Cate ... 0 0 0 0 1 \n", "151 Pull NaN NaN ... 0 0 0 1 0 \n", "156 Catch AD Red ... 0 1 1 0 0 \n", "164 Pull NaN NaN ... 0 0 0 1 1 \n", "177 Pull NaN NaN ... 1 0 0 0 0 \n", "185 Catch Angela Wootie ... 0 1 1 0 1 \n", "... ... ... ... ... ... ... ... ... ... \n", "1985 Pull NaN NaN ... 1 1 0 0 0 \n", "1998 Pull NaN NaN ... 0 1 1 1 0 \n", "2002 Pull NaN NaN ... 1 0 0 0 0 \n", "2018 Pull NaN NaN ... 0 1 0 1 1 \n", "2029 PullOb NaN NaN ... 0 1 0 0 0 \n", "2039 Pull NaN NaN ... 0 0 0 0 1 \n", "2049 Pull NaN NaN ... 1 1 1 0 0 \n", "2051 Catch AD Angela ... 0 0 0 1 0 \n", "2064 Pull NaN NaN ... 0 0 0 1 1 \n", "2071 Pull NaN NaN ... 1 1 0 0 0 \n", "2075 Pull NaN NaN ... 0 0 0 1 1 \n", "2080 Pull NaN NaN ... 0 0 0 0 0 \n", "2104 Pull NaN NaN ... 1 1 0 0 0 \n", "2108 Catch Haley Angela ... 0 0 0 1 1 \n", "2119 Catch AD Cate ... 0 0 0 0 0 \n", "2128 Pull NaN NaN ... 1 0 0 1 0 \n", "2130 Catch Wootie Sam ... 0 1 0 0 1 \n", "2143 Pull NaN NaN ... 1 0 0 0 0 \n", "2148 Catch AD Wootie ... 0 1 0 1 0 \n", "2153 Pull NaN NaN ... 0 0 0 0 1 \n", "2155 Throwaway Wootie Anonymous ... 0 1 0 0 0 \n", "2159 Catch Haley Paige ... 1 0 0 1 0 \n", "2163 Pull NaN NaN ... 0 1 0 0 1 \n", "2173 Pull NaN NaN ... 1 0 0 0 0 \n", "2177 Pull NaN NaN ... 0 1 0 1 0 \n", "2187 Pull NaN NaN ... 0 1 0 1 0 \n", "2203 Catch Nubby Angela ... 1 0 0 0 1 \n", "2220 Pull NaN NaN ... 0 1 0 0 0 \n", "2226 Pull NaN NaN ... 1 0 0 1 0 \n", "2230 Throwaway Wootie Anonymous ... 0 0 0 0 1 \n", "\n", " Allee Kate Lina we scored Score \n", "0 0 0 0 1 1 \n", "1 1 0 0 0 0 \n", "3 0 0 0 0 0 \n", "11 0 0 1 1 1 \n", "18 1 1 0 0 0 \n", "22 0 0 0 1 1 \n", "26 0 0 0 0 0 \n", "28 1 1 0 1 1 \n", "40 1 0 0 0 0 \n", "42 0 0 0 1 1 \n", "48 0 0 1 0 0 \n", "50 1 0 0 1 1 \n", "58 0 0 0 0 0 \n", "60 0 1 0 1 1 \n", "68 0 0 0 0 0 \n", "70 1 0 0 1 1 \n", "82 0 1 0 0 0 \n", "84 1 0 0 1 1 \n", "91 0 0 0 1 1 \n", "98 1 1 0 1 1 \n", "114 0 0 0 1 1 \n", "119 1 1 0 1 1 \n", "131 1 1 0 1 1 \n", "139 0 0 0 1 1 \n", "145 0 1 0 1 1 \n", "151 0 0 0 0 0 \n", "156 0 1 0 1 1 \n", "164 0 0 0 1 1 \n", "177 0 0 0 0 0 \n", "185 0 0 0 0 0 \n", "... ... ... ... ... ... \n", "1985 0 1 0 1 1 \n", "1998 0 0 0 1 1 \n", "2002 0 0 1 1 1 \n", "2018 0 1 0 1 1 \n", "2029 0 0 0 1 1 \n", "2039 0 1 0 1 1 \n", "2049 0 0 1 0 0 \n", "2051 0 0 1 1 1 \n", "2064 0 0 0 1 1 \n", "2071 1 1 0 1 1 \n", "2075 1 0 0 1 1 \n", "2080 0 0 1 1 1 \n", "2104 0 1 1 0 0 \n", "2108 1 0 0 0 0 \n", "2119 0 0 0 1 1 \n", "2128 0 1 1 0 0 \n", "2130 1 0 0 1 1 \n", "2143 0 0 0 0 0 \n", "2148 0 1 0 1 1 \n", "2153 1 0 1 0 0 \n", "2155 0 1 0 1 1 \n", "2159 0 0 0 1 1 \n", "2163 1 0 1 1 1 \n", "2173 1 0 0 1 1 \n", "2177 0 1 0 1 1 \n", "2187 0 0 1 0 0 \n", "2203 0 0 0 1 1 \n", "2220 0 1 0 1 1 \n", "2226 1 0 1 0 0 \n", "2230 0 0 0 1 1 \n", "\n", "[280 rows x 46 columns]" ] } ], "prompt_number": 380 }, { "cell_type": "code", "collapsed": false, "input": [ "diff_our_score = point_data['diff in our score']\n", "plot(diff_our_score)" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", 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"text": [ "" ] } ], "prompt_number": 381 }, { "cell_type": "code", "collapsed": false, "input": [ "print diff_our_score.index" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "Int64Index([0, 1, 3, 11, 18, 22, 26, 28, 40, 42, 48, 50, 58, 60, 68, 70, 82, 84, 91, 98, 114, 119, 131, 139, 145, 151, 156, 164, 177, 185, 190, 206, 208, 216, 223, 225, 246, 248, 253, 266, 269, 281, 287, 300, 304, 310, 319, 321, 328, 330, 336, 338, 340, 350, 354, 356, 362, 373, 382, 384, 399, 400, 402, 414, 418, 422, 424, 431, 433, 470, 478, 490, 492, 496, 499, 507, 512, 518, 520, 523, 526, 533, 544, 550, 554, 562, 572, 574, 580, 582, 591, 593, 601, 603, 607, 614, 624, 653, 661, 671, ...], dtype='int64')\n" ] } ], "prompt_number": 382 }, { "cell_type": "code", "collapsed": false, "input": [ "point_data['Our Score - End of Point'][0]" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 383, "text": [ "1" ] } ], "prompt_number": 383 }, { "cell_type": "code", "collapsed": false, "input": [ "we_scored_series = pd.Series([])\n", "for i in diff_our_score.index:\n", " if float(diff_our_score[i]) not in [0.0, 1.0]:\n", " we_scored_series[i] = point_data.loc[i,'Our Score - End of Point']\n", " else:\n", " we_scored_series[i] = diff_our_score[i]" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 384 }, { "cell_type": "code", "collapsed": false, "input": [ "point_data['Score'] = we_scored_series" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stderr", "text": [ "-c:1: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame.\n", "Try using .loc[row_index,col_indexer] = value instead\n" ] } ], "prompt_number": 385 }, { "cell_type": "code", "collapsed": false, "input": [ "point_data[['Our Score - End of Point','diff in our score', 'Score']]" ], "language": "python", "metadata": {}, 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TournamemntOpponentPoint Elapsed SecondsLineOur Score - End of PointTheir Score - End of PointEvent TypeActionPasserReceiver...PaigeSamAliciaHaleyMiraAlleeKateLinawe scoredScore
0 Cackalackee Pheonix 7 O 1 0 Offense Goal Wootie Meg... 0 0 0 0 0 0 0 0 1 1
1 Cackalackee Pheonix 51 D 1 1 Defense Pull NaN NaN... 1 1 0 0 0 1 0 0 0 0
3 Cackalackee Pheonix 102 O 1 2 Offense Catch Wootie Sam... 0 1 0 1 0 0 0 0 0 0
11 Cackalackee Pheonix 39 O 2 2 Offense Catch Haley Wootie... 0 0 0 1 0 0 0 1 1 1
18 Cackalackee Pheonix 99 D 2 3 Defense Pull NaN NaN... 0 0 0 0 1 1 1 0 0 0
22 Cackalackee Pheonix 33 O 3 3 Offense Catch Sam Wootie... 0 1 0 0 1 0 0 0 1 1
26 Cackalackee Pheonix 6 D 3 4 Defense Pull NaN NaN... 0 1 0 0 1 0 0 0 0 0
28 Cackalackee Pheonix 81 O 4 4 Offense Catch AD Angela... 1 0 0 0 0 1 1 0 1 1
40 Cackalackee Pheonix 36 D 4 5 Defense Pull NaN NaN... 0 0 0 1 0 1 0 0 0 0
42 Cackalackee Pheonix 37 O 5 5 Offense Catch Angela Haley... 0 1 0 1 0 0 0 0 1 1
48 Cackalackee Pheonix 42 D 5 6 Defense Pull NaN NaN... 0 0 0 0 0 0 0 1 0 0
50 Cackalackee Pheonix 57 O 6 6 Offense Catch Haley AD... 0 0 0 1 1 1 0 0 1 1
58 Cackalackee Pheonix 27 D 6 7 Defense Pull NaN NaN... 0 0 0 1 0 0 0 0 0 0
60 Cackalackee Pheonix 102 O 7 7 Offense Catch Sam AD... 1 1 0 0 0 0 1 0 1 1
68 Cackalackee Pheonix 54 D 7 8 Defense Pull NaN NaN... 0 1 0 1 1 0 0 0 0 0
70 Cackalackee Pheonix 154 D 8 8 Defense Pull NaN NaN... 0 0 0 0 1 1 0 0 1 1
82 Cackalackee Pheonix 44 D 8 9 Defense Pull NaN NaN... 0 1 0 0 1 0 1 0 0 0
84 Cackalackee Pheonix 36 O 9 9 Offense Catch AD Wootie... 0 0 0 1 0 1 0 0 1 1
91 Cackalackee Pheonix 59 D 10 9 Defense Pull NaN NaN... 1 1 0 0 1 0 0 0 1 1
98 Cackalackee Pheonix 385 D 11 9 Defense Pull NaN NaN... 0 0 0 0 1 1 1 0 1 1
114 Cackalackee Pheonix 90 D 12 9 Defense Pull NaN NaN... 0 0 0 1 0 0 0 0 1 1
119 Cackalackee Pheonix 79 D 13 9 Defense Pull NaN NaN... 0 1 0 1 1 1 1 0 1 1
131 Cackalackee Pheonix 55 D 14 9 Defense Pull NaN NaN... 0 0 0 0 0 1 1 0 1 1
139 Cackalackee Pheonix 80 D 15 9 Defense Pull NaN NaN... 0 1 0 0 0 0 0 0 1 1
145 Chesapeake Nightlock 45 O 1 0 Offense Catch Annie Cate... 0 0 0 0 1 0 1 0 1 1
151 Chesapeake Nightlock 147 D 1 1 Defense Pull NaN NaN... 0 0 0 1 0 0 0 0 0 0
156 Chesapeake Nightlock 42 O 2 1 Offense Catch AD Red... 0 1 1 0 0 0 1 0 1 1
164 Chesapeake Nightlock 82 D 3 1 Defense Pull NaN NaN... 0 0 0 1 1 0 0 0 1 1
177 Chesapeake Nightlock 88 D 3 2 Defense Pull NaN NaN... 1 0 0 0 0 0 0 0 0 0
185 Chesapeake Nightlock 70 O 3 3 Offense Catch Angela Wootie... 0 1 1 0 1 0 0 0 0 0
..................................................................
1985 Chesapeake Hot Metal 186 D 7 4 Defense Pull NaN NaN... 1 1 0 0 0 0 1 0 1 1
1998 Chesapeake Hot Metal 32 D 8 4 Defense Pull NaN NaN... 0 1 1 1 0 0 0 0 1 1
2002 Chesapeake Hot Metal 177 D 9 4 Defense Pull NaN NaN... 1 0 0 0 0 0 0 1 1 1
2018 Chesapeake Hot Metal 62 D 10 4 Defense Pull NaN NaN... 0 1 0 1 1 0 1 0 1 1
2029 Chesapeake Hot Metal 105 D 11 4 Defense PullOb NaN NaN... 0 1 0 0 0 0 0 0 1 1
2039 Chesapeake Hot Metal 137 D 12 4 Defense Pull NaN NaN... 0 0 0 0 1 0 1 0 1 1
2049 Chesapeake Hot Metal 32 D 12 5 Defense Pull NaN NaN... 1 1 1 0 0 0 0 1 0 0
2051 Chesapeake Hot Metal 67 O 13 5 Offense Catch AD Angela... 0 0 0 1 0 0 0 1 1 1
2064 Cackalackee Jackwagon 72 D 1 0 Defense Pull NaN NaN... 0 0 0 1 1 0 0 0 1 1
2071 Cackalackee Jackwagon 29 D 2 0 Defense Pull NaN NaN... 1 1 0 0 0 1 1 0 1 1
2075 Cackalackee Jackwagon 24 D 3 0 Defense Pull NaN NaN... 0 0 0 1 1 1 0 0 1 1
2080 Cackalackee Jackwagon 410 D 4 0 Defense Pull NaN NaN... 0 0 0 0 0 0 0 1 1 1
2104 Cackalackee Jackwagon 47 D 4 1 Defense Pull NaN NaN... 1 1 0 0 0 0 1 1 0 0
2108 Cackalackee Jackwagon 127 O 4 2 Offense Catch Haley Angela... 0 0 0 1 1 1 0 0 0 0
2119 Cackalackee Jackwagon 40 O 5 2 Offense Catch AD Cate... 0 0 0 0 0 0 0 0 1 1
2128 Cackalackee Jackwagon 34 D 5 3 Defense Pull NaN NaN... 1 0 0 1 0 0 1 1 0 0
2130 Cackalackee Jackwagon 61 O 6 3 Offense Catch Wootie Sam... 0 1 0 0 1 1 0 0 1 1
2143 Cackalackee Jackwagon 117 D 6 4 Defense Pull NaN NaN... 1 0 0 0 0 0 0 0 0 0
2148 Cackalackee Jackwagon 54 O 7 4 Offense Catch AD Wootie... 0 1 0 1 0 0 1 0 1 1
2153 Cackalackee Jackwagon 42 D 7 5 Defense Pull NaN NaN... 0 0 0 0 1 1 0 1 0 0
2155 Cackalackee Jackwagon 83 O 8 5 Offense Throwaway Wootie Anonymous... 0 1 0 0 0 0 1 0 1 1
2159 Cackalackee Jackwagon 30 O 9 5 Offense Catch Haley Paige... 1 0 0 1 0 0 0 0 1 1
2163 Cackalackee Jackwagon 96 D 10 5 Defense Pull NaN NaN... 0 1 0 0 1 1 0 1 1 1
2173 Cackalackee Jackwagon 53 D 11 5 Defense Pull NaN NaN... 1 0 0 0 0 1 0 0 1 1
2177 Cackalackee Jackwagon 97 D 12 5 Defense Pull NaN NaN... 0 1 0 1 0 0 1 0 1 1
2187 Cackalackee Jackwagon 318 D 12 6 Defense Pull NaN NaN... 0 1 0 1 0 0 0 1 0 0
2203 Cackalackee Jackwagon 131 O 13 6 Offense Catch Nubby Angela... 1 0 0 0 1 0 0 0 1 1
2220 Cackalackee Jackwagon 45 D 14 6 Defense Pull NaN NaN... 0 1 0 0 0 0 1 0 1 1
2226 Cackalackee Jackwagon 48 D 14 7 Defense Pull NaN NaN... 1 0 0 1 0 1 0 1 0 0
2230 Cackalackee Jackwagon 171 O 15 7 Offense Throwaway Wootie Anonymous... 0 0 0 0 1 0 0 0 1 1
\n", "

280 rows \u00d7 46 columns

\n", "
" ], "metadata": {}, "output_type": "pyout", "prompt_number": 387, "text": [ " Tournamemnt Opponent Point Elapsed Seconds Line \\\n", "0 Cackalackee Pheonix 7 O \n", "1 Cackalackee Pheonix 51 D \n", "3 Cackalackee Pheonix 102 O \n", "11 Cackalackee Pheonix 39 O \n", "18 Cackalackee Pheonix 99 D \n", "22 Cackalackee Pheonix 33 O \n", "26 Cackalackee Pheonix 6 D \n", "28 Cackalackee Pheonix 81 O \n", "40 Cackalackee Pheonix 36 D \n", "42 Cackalackee Pheonix 37 O \n", "48 Cackalackee Pheonix 42 D \n", "50 Cackalackee Pheonix 57 O \n", "58 Cackalackee Pheonix 27 D \n", "60 Cackalackee Pheonix 102 O \n", "68 Cackalackee Pheonix 54 D \n", "70 Cackalackee Pheonix 154 D \n", "82 Cackalackee Pheonix 44 D \n", "84 Cackalackee Pheonix 36 O \n", "91 Cackalackee Pheonix 59 D \n", "98 Cackalackee Pheonix 385 D \n", "114 Cackalackee Pheonix 90 D \n", "119 Cackalackee Pheonix 79 D \n", "131 Cackalackee Pheonix 55 D \n", "139 Cackalackee Pheonix 80 D \n", "145 Chesapeake Nightlock 45 O \n", "151 Chesapeake Nightlock 147 D \n", "156 Chesapeake Nightlock 42 O \n", "164 Chesapeake Nightlock 82 D \n", "177 Chesapeake Nightlock 88 D \n", "185 Chesapeake Nightlock 70 O \n", "... ... ... ... ... \n", "1985 Chesapeake Hot Metal 186 D \n", "1998 Chesapeake Hot Metal 32 D \n", "2002 Chesapeake Hot Metal 177 D \n", "2018 Chesapeake Hot Metal 62 D \n", "2029 Chesapeake Hot Metal 105 D \n", "2039 Chesapeake Hot Metal 137 D \n", "2049 Chesapeake Hot Metal 32 D \n", "2051 Chesapeake Hot Metal 67 O \n", "2064 Cackalackee Jackwagon 72 D \n", "2071 Cackalackee Jackwagon 29 D \n", "2075 Cackalackee Jackwagon 24 D \n", "2080 Cackalackee Jackwagon 410 D \n", "2104 Cackalackee Jackwagon 47 D \n", "2108 Cackalackee Jackwagon 127 O \n", "2119 Cackalackee Jackwagon 40 O \n", "2128 Cackalackee Jackwagon 34 D \n", "2130 Cackalackee Jackwagon 61 O \n", "2143 Cackalackee Jackwagon 117 D \n", "2148 Cackalackee Jackwagon 54 O \n", "2153 Cackalackee Jackwagon 42 D \n", "2155 Cackalackee Jackwagon 83 O \n", "2159 Cackalackee Jackwagon 30 O \n", "2163 Cackalackee Jackwagon 96 D \n", "2173 Cackalackee Jackwagon 53 D \n", "2177 Cackalackee Jackwagon 97 D \n", "2187 Cackalackee Jackwagon 318 D \n", "2203 Cackalackee Jackwagon 131 O \n", "2220 Cackalackee Jackwagon 45 D \n", "2226 Cackalackee Jackwagon 48 D \n", "2230 Cackalackee Jackwagon 171 O \n", "\n", " Our Score - End of Point Their Score - End of Point Event Type \\\n", "0 1 0 Offense \n", "1 1 1 Defense \n", "3 1 2 Offense \n", "11 2 2 Offense \n", "18 2 3 Defense \n", "22 3 3 Offense \n", "26 3 4 Defense \n", "28 4 4 Offense \n", "40 4 5 Defense \n", "42 5 5 Offense \n", "48 5 6 Defense \n", "50 6 6 Offense \n", "58 6 7 Defense \n", "60 7 7 Offense \n", "68 7 8 Defense \n", "70 8 8 Defense \n", "82 8 9 Defense \n", "84 9 9 Offense \n", "91 10 9 Defense \n", "98 11 9 Defense \n", "114 12 9 Defense \n", "119 13 9 Defense \n", "131 14 9 Defense \n", "139 15 9 Defense \n", "145 1 0 Offense \n", "151 1 1 Defense \n", "156 2 1 Offense \n", "164 3 1 Defense \n", "177 3 2 Defense \n", "185 3 3 Offense \n", "... ... ... ... \n", "1985 7 4 Defense \n", "1998 8 4 Defense \n", "2002 9 4 Defense \n", "2018 10 4 Defense \n", "2029 11 4 Defense \n", "2039 12 4 Defense \n", "2049 12 5 Defense \n", "2051 13 5 Offense \n", "2064 1 0 Defense \n", "2071 2 0 Defense \n", "2075 3 0 Defense \n", "2080 4 0 Defense \n", "2104 4 1 Defense \n", "2108 4 2 Offense \n", "2119 5 2 Offense \n", "2128 5 3 Defense \n", "2130 6 3 Offense \n", "2143 6 4 Defense \n", "2148 7 4 Offense \n", "2153 7 5 Defense \n", "2155 8 5 Offense \n", "2159 9 5 Offense \n", "2163 10 5 Defense \n", "2173 11 5 Defense \n", "2177 12 5 Defense \n", "2187 12 6 Defense \n", "2203 13 6 Offense \n", "2220 14 6 Defense \n", "2226 14 7 Defense \n", "2230 15 7 Offense \n", "\n", " Action Passer Receiver ... Paige Sam Alicia Haley Mira \\\n", "0 Goal Wootie Meg ... 0 0 0 0 0 \n", "1 Pull NaN NaN ... 1 1 0 0 0 \n", "3 Catch Wootie Sam ... 0 1 0 1 0 \n", "11 Catch Haley Wootie ... 0 0 0 1 0 \n", "18 Pull NaN NaN ... 0 0 0 0 1 \n", "22 Catch Sam Wootie ... 0 1 0 0 1 \n", "26 Pull NaN NaN ... 0 1 0 0 1 \n", "28 Catch AD Angela ... 1 0 0 0 0 \n", "40 Pull NaN NaN ... 0 0 0 1 0 \n", "42 Catch Angela Haley ... 0 1 0 1 0 \n", "48 Pull NaN NaN ... 0 0 0 0 0 \n", "50 Catch Haley AD ... 0 0 0 1 1 \n", "58 Pull NaN NaN ... 0 0 0 1 0 \n", "60 Catch Sam AD ... 1 1 0 0 0 \n", "68 Pull NaN NaN ... 0 1 0 1 1 \n", "70 Pull NaN NaN ... 0 0 0 0 1 \n", "82 Pull NaN NaN ... 0 1 0 0 1 \n", "84 Catch AD Wootie ... 0 0 0 1 0 \n", "91 Pull NaN NaN ... 1 1 0 0 1 \n", "98 Pull NaN NaN ... 0 0 0 0 1 \n", "114 Pull NaN NaN ... 0 0 0 1 0 \n", "119 Pull NaN NaN ... 0 1 0 1 1 \n", "131 Pull NaN NaN ... 0 0 0 0 0 \n", "139 Pull NaN NaN ... 0 1 0 0 0 \n", "145 Catch Annie Cate ... 0 0 0 0 1 \n", "151 Pull NaN NaN ... 0 0 0 1 0 \n", "156 Catch AD Red ... 0 1 1 0 0 \n", "164 Pull NaN NaN ... 0 0 0 1 1 \n", "177 Pull NaN NaN ... 1 0 0 0 0 \n", "185 Catch Angela Wootie ... 0 1 1 0 1 \n", "... ... ... ... ... ... ... ... ... ... \n", "1985 Pull NaN NaN ... 1 1 0 0 0 \n", "1998 Pull NaN NaN ... 0 1 1 1 0 \n", "2002 Pull NaN NaN ... 1 0 0 0 0 \n", "2018 Pull NaN NaN ... 0 1 0 1 1 \n", "2029 PullOb NaN NaN ... 0 1 0 0 0 \n", "2039 Pull NaN NaN ... 0 0 0 0 1 \n", "2049 Pull NaN NaN ... 1 1 1 0 0 \n", "2051 Catch AD Angela ... 0 0 0 1 0 \n", "2064 Pull NaN NaN ... 0 0 0 1 1 \n", "2071 Pull NaN NaN ... 1 1 0 0 0 \n", "2075 Pull NaN NaN ... 0 0 0 1 1 \n", "2080 Pull NaN NaN ... 0 0 0 0 0 \n", "2104 Pull NaN NaN ... 1 1 0 0 0 \n", "2108 Catch Haley Angela ... 0 0 0 1 1 \n", "2119 Catch AD Cate ... 0 0 0 0 0 \n", "2128 Pull NaN NaN ... 1 0 0 1 0 \n", "2130 Catch Wootie Sam ... 0 1 0 0 1 \n", "2143 Pull NaN NaN ... 1 0 0 0 0 \n", "2148 Catch AD Wootie ... 0 1 0 1 0 \n", "2153 Pull NaN NaN ... 0 0 0 0 1 \n", "2155 Throwaway Wootie Anonymous ... 0 1 0 0 0 \n", "2159 Catch Haley Paige ... 1 0 0 1 0 \n", "2163 Pull NaN NaN ... 0 1 0 0 1 \n", "2173 Pull NaN NaN ... 1 0 0 0 0 \n", "2177 Pull NaN NaN ... 0 1 0 1 0 \n", "2187 Pull NaN NaN ... 0 1 0 1 0 \n", "2203 Catch Nubby Angela ... 1 0 0 0 1 \n", "2220 Pull NaN NaN ... 0 1 0 0 0 \n", "2226 Pull NaN NaN ... 1 0 0 1 0 \n", "2230 Throwaway Wootie Anonymous ... 0 0 0 0 1 \n", "\n", " Allee Kate Lina we scored Score \n", "0 0 0 0 1 1 \n", "1 1 0 0 0 0 \n", "3 0 0 0 0 0 \n", "11 0 0 1 1 1 \n", "18 1 1 0 0 0 \n", "22 0 0 0 1 1 \n", "26 0 0 0 0 0 \n", "28 1 1 0 1 1 \n", "40 1 0 0 0 0 \n", "42 0 0 0 1 1 \n", "48 0 0 1 0 0 \n", "50 1 0 0 1 1 \n", "58 0 0 0 0 0 \n", "60 0 1 0 1 1 \n", "68 0 0 0 0 0 \n", "70 1 0 0 1 1 \n", "82 0 1 0 0 0 \n", "84 1 0 0 1 1 \n", "91 0 0 0 1 1 \n", "98 1 1 0 1 1 \n", "114 0 0 0 1 1 \n", "119 1 1 0 1 1 \n", "131 1 1 0 1 1 \n", "139 0 0 0 1 1 \n", "145 0 1 0 1 1 \n", "151 0 0 0 0 0 \n", "156 0 1 0 1 1 \n", "164 0 0 0 1 1 \n", "177 0 0 0 0 0 \n", "185 0 0 0 0 0 \n", "... ... ... ... ... ... \n", "1985 0 1 0 1 1 \n", "1998 0 0 0 1 1 \n", "2002 0 0 1 1 1 \n", "2018 0 1 0 1 1 \n", "2029 0 0 0 1 1 \n", "2039 0 1 0 1 1 \n", "2049 0 0 1 0 0 \n", "2051 0 0 1 1 1 \n", "2064 0 0 0 1 1 \n", "2071 1 1 0 1 1 \n", "2075 1 0 0 1 1 \n", "2080 0 0 1 1 1 \n", "2104 0 1 1 0 0 \n", "2108 1 0 0 0 0 \n", "2119 0 0 0 1 1 \n", "2128 0 1 1 0 0 \n", "2130 1 0 0 1 1 \n", "2143 0 0 0 0 0 \n", "2148 0 1 0 1 1 \n", "2153 1 0 1 0 0 \n", "2155 0 1 0 1 1 \n", "2159 0 0 0 1 1 \n", "2163 1 0 1 1 1 \n", "2173 1 0 0 1 1 \n", "2177 0 1 0 1 1 \n", "2187 0 0 1 0 0 \n", "2203 0 0 0 1 1 \n", "2220 0 1 0 1 1 \n", "2226 1 0 1 0 0 \n", "2230 0 0 0 1 1 \n", "\n", "[280 rows x 46 columns]" ] } ], "prompt_number": 387 }, { "cell_type": "code", "collapsed": false, "input": [ "from numpy import *\n", "\n", "vector_dict={}\n", "vector_dict['Score'] = array(point_data['Score'])\n", "for p in player_set:\n", " vector_dict[p]=array(point_data[p])\n", "max(point_data[\"Hewey\"])" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 388, "text": [ "1.0" ] } ], "prompt_number": 388 }, { "cell_type": "code", "collapsed": false, "input": [ "players = list(player_set)\n", "best_player_dict = {}\n", "\n", "for p in players:\n", " print p\n", " best_player_dict[p]=float(sum(vector_dict[p]*vector_dict['Score']))/float(sum(vector_dict[p]))\n", "\n", "best_player_series = pd.Series([best_player_dict[p] for p in players], index=players)\n", "best_player_series.sort(ascending = False)\n", "best_player_series" ], "language": "python", "metadata": {}, "outputs": [ { "output_type": "stream", "stream": "stdout", "text": [ "AD\n", "Snow\n", "Angela\n", "Phebe\n", "Hewey\n", "Annie\n", "Wootie\n", "Puppy\n", "Red\n", "Cate\n", "Turtle\n", "Nubby\n", "Meg\n", "Paige\n", "Sam\n", "Alicia\n", "Haley\n", "Mira\n", "Allee\n", "Kate\n", "Lina\n" ] }, { "metadata": {}, "output_type": "pyout", "prompt_number": 391, "text": [ "AD 0.657343\n", "Hewey 0.647059\n", "Kate 0.623656\n", "Meg 0.617021\n", "Allee 0.607843\n", "Mira 0.607477\n", "Cate 0.598361\n", "Angela 0.569444\n", "Haley 0.561404\n", "Turtle 0.552083\n", "Paige 0.536232\n", "Red 0.526786\n", "Nubby 0.526316\n", "Wootie 0.525926\n", "Sam 0.520325\n", "Alicia 0.500000\n", "Lina 0.500000\n", "Puppy 0.479167\n", "Snow 0.475000\n", "Annie 0.468354\n", "Phebe 0.450000\n", "dtype: float64" ] } ], "prompt_number": 391 }, { "cell_type": "code", "collapsed": false, "input": [ "#players=best_player_series.index" ], "language": "python", "metadata": {}, "outputs": [], "prompt_number": 399 }, { "cell_type": "code", "collapsed": false, "input": [ "pt_dict={}\n", "for p in players:\n", " pt_dict[p]=sum(vector_dict[p])\n", "pt_series = pd.Series([pt_dict[p] for p in players], index=players)\n", "pt_series.sort(ascending = False)\n", "pt_series" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 400, "text": [ "Angela 144\n", "AD 143\n", "Wootie 135\n", "Sam 123\n", "Cate 122\n", "Haley 114\n", "Red 112\n", "Mira 107\n", "Hewey 102\n", "Puppy 96\n", "Turtle 96\n", "Meg 94\n", "Kate 93\n", "Annie 79\n", "Nubby 76\n", "Paige 69\n", "Lina 64\n", "Phebe 60\n", "Allee 51\n", "Snow 40\n", "Alicia 34\n", "dtype: float64" ] } ], "prompt_number": 400 }, { "cell_type": "code", "collapsed": false, "input": [ "pairs_dict={}\n", "for i in range(len(players)):\n", " for j in range(i+1,len(players)):\n", " if sum(vector_dict[players[i]]*vector_dict[players[j]]) <6:\n", " pairs_dict[players[i]+\" \"+players[j]]=None\n", " else:\n", " pairs_dict[players[i]+\" \"+players[j]]=\\\n", " float(sum(vector_dict[players[i]]*vector_dict[players[j]]*vector_dict['Score']))/\\\n", " float(sum(vector_dict[players[i]]*vector_dict[players[j]]))\n", " \n", "player_pairs = pairs_dict.keys()\n", "pairs_series = pd.Series([pairs_dict[p] for p in player_pairs], index=player_pairs)\n", "pairs_series.sort(ascending=False)\n", "pairs_series" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 401, "text": [ "Hewey Meg 0.846154\n", "AD Hewey 0.764706\n", "Hewey Kate 0.758621\n", "Mira Paige 0.750000\n", "AD Allee 0.739130\n", "Allee Sam 0.736842\n", "AD Angela 0.727273\n", "Hewey Cate 0.720000\n", "Hewey Mira 0.720000\n", "Hewey Allee 0.714286\n", "Meg Turtle 0.714286\n", "Haley Nubby 0.714286\n", "Kate Alicia 0.714286\n", "Haley Alicia 0.714286\n", "AD Meg 0.708333\n", "...\n", "Wootie Snow 0.350000\n", "Alicia Phebe 0.333333\n", "Paige Annie 0.333333\n", "Sam Alicia 0.333333\n", "Nubby Lina 0.312500\n", "Nubby Phebe 0.294118\n", "Wootie Phebe 0.291667\n", "Mira Alicia 0.285714\n", "Red Annie 0.275862\n", "Puppy Annie 0.260870\n", "Mira Snow 0.250000\n", "Alicia Snow NaN\n", "Allee Alicia NaN\n", "Allee Annie NaN\n", "Snow Annie NaN\n", "Length: 210, dtype: float64" ] } ], "prompt_number": 401 }, { "cell_type": "code", "collapsed": false, "input": [ "team_scoring_pct=float(sum(vector_dict['Score']))/float(len(vector_dict['Score']))\n", "team_scoring_pct" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "pyout", "prompt_number": 402, "text": [ "0.5607142857142857" ] } ], "prompt_number": 402 }, { "cell_type": "code", "collapsed": false, "input": [ "pairs_array=zeros((len(players),len(players)))\n", "nothing=0.0\n", "\n", "for i in range(len(players)):\n", " for j in range(len(players)):\n", " # pairs_matrix[i][j]=i+j\n", " if sum(vector_dict[players[i]]*vector_dict[players[j]]) <6:\n", " pairs_array[i][j]=nothing\n", " else:\n", " pairs_array[i][j]=\\\n", " float(sum(vector_dict[players[i]]*vector_dict[players[j]]*vector_dict['Score']))/\\\n", " float(sum(vector_dict[players[i]]*vector_dict[players[j]]))\n", "\n", "import matplotlib\n", "from pylab import *\n", "\n", "colors = [('white')] + [(cm.jet(i)) for i in xrange(1,256)]\n", "new_map = matplotlib.colors.LinearSegmentedColormap.from_list('new_map', colors, N=256)\n", "\n", "figure(figsize=(9,8))\n", "pcolor(pairs_array, cmap=new_map)\n", "axis([0, len(players), 0, len(players)])\n", "xticks(range(len(players)), players, rotation='vertical', ha='left')\n", "yticks(range(len(players)), players, rotation=45)\n", "colorbar()\n", "savefig('map.png')" ], "language": "python", "metadata": {}, "outputs": [ { "metadata": {}, "output_type": "display_data", "png": 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SPOkdV1LQFtgVeBg1MJoKDETdDb8HbgF2QFsWvwIOA96JaSxmZmaWg7iSgm+A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\nDhmcZ10xLELn//jo/TAUEQ9+2SQhM2b+hq7Pu6L3B0frfHi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