{ "cells": [ { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "%matplotlib inline\n", "from IPython.display import Image\n", "import pandas as pd\n", "import numpy as np" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Lecture 9\n", "\n", "- Learn how to filter data with **Pandas**\n", "\n", "- Write a program to calculate the great circle distances between two known points. \n", "\n", "- Learn how to generate formatted strings for output." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Returning to our original seismogram from Lecture 8 (which we cleverly saved and I moved to the Figures folder):" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "execution_count": 3, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Image(filename='Figures/seismogram.png') # let's pull this back up." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "And we can pick up where we left off by reading in the data which we already converted to minutes and saved in Lecture 8." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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MinutesVelocity
00.0000001807.0
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" ], "text/plain": [ " Minutes Velocity\n", "0 0.000000 1807.0\n", "1 0.000833 1749.0\n", "2 0.001667 1694.0\n", "3 0.002500 1618.0\n", "4 0.003333 1516.0" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "EQ=pd.read_csv('Datasets/minutes_velocity.csv')\n", "EQ.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Filtering data with Pandas\n", "\n", "Considering our seismic record, you know that the P wave arrives in the first few minutes of the record. To find the exact time, we can filter the data to look for the maximum (positive or negative) velocity between two time intervals, say 1 and 1.37 minutes, and take this as the P-wave arrival time.\n", "\n", "To look only at the interval between two times, we first need to understand some more about **Pandas** data structures. Remember that the **DataFrames** are made up of columns of data (with the indices) and each Column is itself a **Series**.\n", "\n", "We can access a particular **Series** in two ways. One is to use the **Series** name as a key (like in Dictionaries). " ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0 0.000000\n", "1 0.000833\n", "2 0.001667\n", "3 0.002500\n", "4 0.003333\n", "Name: Minutes, dtype: float64\n" ] } ], "source": [ "print (EQ['Minutes'].head())\n", "# I'm using head, because this is a really long series! " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "OR, we can use the **Series** name as an attribute of the **DataFrame**: " ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "0 0.000000\n", "1 0.000833\n", "2 0.001667\n", "3 0.002500\n", "4 0.003333\n", "Name: Minutes, dtype: float64\n" ] } ], "source": [ "print (EQ.Minutes.head())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "As you can see below, both of these are identical and are _instances_ of a Pandas **Series** class: " ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "\n" ] } ], "source": [ "print (type(EQ['Minutes']))\n", "print (type(EQ.Minutes))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Although I said that these two ways of accessing **Series** were identical, they are really only identical if there are no spaces in the column name. If you (like most Excel users) like to put spaces in your column names, then you can only use the first form. " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let's take a closer look at one of these **Series**:" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0 0.000000\n", "1 0.000833\n", "2 0.001667\n", "3 0.002500\n", "4 0.003333\n", "Name: Minutes, dtype: float64" ] }, "execution_count": 8, "metadata": {}, "output_type": "execute_result" } ], "source": [ "EQ.Minutes.head() \n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The EQ.Minutes **Series** are floating point numbers but have indices (starting with 0) so they are like arrays and lists, but are not the same thing. No worries - you can turn a **Series** into an array with this command (I'm just printing the first 10 elements...): \n", "\n" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[0. 0.00083333 0.00166667 0.0025 0.00333333 0.00416667\n", " 0.005 0.00583333 0.00666667 0.0075 ]\n" ] } ], "source": [ "EQ_array=EQ.Minutes.values\n", "print (EQ_array[0:10])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Or we can make it a list: " ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "[0.0, 0.0008333333333333334, 0.0016666666666666668, 0.0025, 0.0033333333333333327, 0.0041666666666666675, 0.005, 0.0058333333333333345, 0.006666666666666667, 0.0075]\n" ] } ], "source": [ "EQ_list=EQ.Minutes.tolist()\n", "print (EQ_list[0:10])" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can filter the EQ **DataFrame** by placing conditions (which evaluate to **True** or **False**) on one of the **Series** (Minutes or Velocity).\n", "\n", "The simplest syntax of a basic **Pandas** filter is: \n", "\n", "**DataFrame.Series\\[condition\\]**\n", "\n", "\n", "The \"P wave arrival\" is by definition, the first wave recorded that exceeds \"noise\". So we need to calculate what the \"noise\" level is by getting the maximum and minimum values in the first part of the record, say the first minute. \n", "\n", "To find all the records where the series **EQ.Minutes** is less than 1, we need to set the condition to:\n", "\n", "EQ.Minutes<1\n", "\n", "Let's just see what that does: \n", "\n" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "0 True\n", "1 True\n", "2 True\n", "3 True\n", "4 True\n", "5 True\n", "6 True\n", "7 True\n", "8 True\n", "9 True\n", "10 True\n", "11 True\n", "12 True\n", "13 True\n", "14 True\n", "15 True\n", "16 True\n", "17 True\n", "18 True\n", "19 True\n", "20 True\n", "21 True\n", "22 True\n", "23 True\n", "24 True\n", "25 True\n", "26 True\n", "27 True\n", "28 True\n", "29 True\n", " ... \n", "25170 False\n", "25171 False\n", "25172 False\n", "25173 False\n", "25174 False\n", "25175 False\n", "25176 False\n", "25177 False\n", "25178 False\n", "25179 False\n", "25180 False\n", "25181 False\n", "25182 False\n", "25183 False\n", "25184 False\n", "25185 False\n", "25186 False\n", "25187 False\n", "25188 False\n", "25189 False\n", "25190 False\n", "25191 False\n", "25192 False\n", "25193 False\n", "25194 False\n", "25195 False\n", "25196 False\n", "25197 False\n", "25198 False\n", "25199 False\n", "Name: Minutes, Length: 25200, dtype: bool" ] }, "execution_count": 11, "metadata": {}, "output_type": "execute_result" } ], "source": [ "EQ.Minutes<1" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "So the **EQ.Minutes<1** condition returned another Pandas **Series** with the **EQ.Minutes Series** being evaluated for each element in the **Series**. \n", "\n", "If we then use the returned set of booleans as the \"key\" in the DataFrame **EQ**, Pandas will return all the indices in the **DataFrame** for which the condition is **True**: " ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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MinutesVelocity
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1200 rows × 2 columns

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" ], "text/plain": [ " Minutes Velocity\n", "0 0.000000 1807.0\n", "1 0.000833 1749.0\n", "2 0.001667 1694.0\n", "3 0.002500 1618.0\n", "4 0.003333 1516.0\n", "5 0.004167 1394.0\n", "6 0.005000 1282.0\n", "7 0.005833 1198.0\n", "8 0.006667 1077.0\n", "9 0.007500 957.0\n", "10 0.008333 856.0\n", "11 0.009167 745.0\n", "12 0.010000 639.0\n", "13 0.010833 588.0\n", "14 0.011667 533.0\n", "15 0.012500 500.0\n", "16 0.013333 486.0\n", "17 0.014167 494.0\n", "18 0.015000 558.0\n", "19 0.015833 587.0\n", "20 0.016667 699.0\n", "21 0.017500 827.0\n", "22 0.018333 925.0\n", "23 0.019167 1105.0\n", "24 0.020000 1286.0\n", "25 0.020833 1464.0\n", "26 0.021667 1661.0\n", "27 0.022500 1871.0\n", "28 0.023333 2070.0\n", "29 0.024167 2242.0\n", "... ... ...\n", "1170 0.975000 3911.0\n", "1171 0.975833 3916.0\n", "1172 0.976667 3913.0\n", "1173 0.977500 3918.0\n", "1174 0.978333 3923.0\n", "1175 0.979167 3936.0\n", "1176 0.980000 3916.0\n", "1177 0.980833 3921.0\n", "1178 0.981667 3891.0\n", "1179 0.982500 3879.0\n", "1180 0.983333 3839.0\n", "1181 0.984167 3786.0\n", "1182 0.985000 3796.0\n", "1183 0.985833 3739.0\n", "1184 0.986667 3694.0\n", "1185 0.987500 3630.0\n", "1186 0.988333 3574.0\n", "1187 0.989167 3532.0\n", "1188 0.990000 3460.0\n", "1189 0.990833 3384.0\n", "1190 0.991667 3303.0\n", "1191 0.992500 3215.0\n", "1192 0.993333 3109.0\n", "1193 0.994167 3021.0\n", "1194 0.995000 2915.0\n", "1195 0.995833 2857.0\n", "1196 0.996667 2761.0\n", "1197 0.997500 2671.0\n", "1198 0.998333 2627.0\n", "1199 0.999167 2532.0\n", "\n", "[1200 rows x 2 columns]" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "EQ[EQ.Minutes<1]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Notice how this is the same as our masking and filtering efforts with **Numpy** arrays that you already saw.\n", "\n", "Now we assign this new **DataFrame** to **Noise**:" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " Minutes Velocity\n", "0 0.000000 1807.0\n", "1 0.000833 1749.0\n", "2 0.001667 1694.0\n", "3 0.002500 1618.0\n", "4 0.003333 1516.0\n", " Minutes Velocity\n", "1195 0.995833 2857.0\n", "1196 0.996667 2761.0\n", "1197 0.997500 2671.0\n", "1198 0.998333 2627.0\n", "1199 0.999167 2532.0\n" ] } ], "source": [ "Noise=EQ[EQ.Minutes<1]\n", "print (Noise.head())\n", "print (Noise.tail())" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Here we created a NEW **DataFrame**, _Noise_, that is a subset of the original _EQ_ and contains only the first minute worth of data.\n", "\n", " There are many methods for Panda **Series**. Two of these are **max( )** and **min( )**. To get the maximum and minimum values of the velocity **Series** in the first minute, we just apply **max( )** and **min( )** to the **Series**: \n", " " ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "maximum value: 5912.0\n", "minimum value: -1848.0\n" ] } ], "source": [ "NoiseMax=Noise.Velocity.max()\n", "print ('maximum value: ',NoiseMax)\n", "NoiseMin=Noise.Velocity.min()\n", "print ('minimum value: ',NoiseMin)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we can find the first velocity that exceeds (in the absolute sense) **NoiseMax** in the **EQ** DataFrame. \n", "\n", "To do this, we can find the first peaks or troughs in the Velocity Series that are outside the bounds of **NoiseMax** and **NoiseMin** respectively. So, here are all the peaks and troughs in the data series that exceed the noise bounds: " ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " Minutes Velocity\n", "1230 1.025000 6344.0\n", "1231 1.025833 6991.0\n", "1232 1.026667 7655.0\n", "1233 1.027500 8309.0\n", "1234 1.028333 8912.0\n", " Minutes Velocity\n", "1323 1.102500 -4090.0\n", "1324 1.103333 -8919.0\n", "1325 1.104167 -13595.0\n", "1326 1.105000 -18138.0\n", "1327 1.105833 -22528.0\n" ] } ], "source": [ "Peaks=EQ[EQ.Velocity>NoiseMax]\n", "print (Peaks.head())\n", "Troughs=EQ[EQ.VelocityNoiseMax)|(EQ.Velocity" ] }, "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Image(filename='Figures/seismogram.png') # let's pull this back up." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "After the P wave arrival, the earthquake rumbles along for a few minutes, so we need to re-characterize the noise floor, say between 5 and 10 minutes. Let's we repeat the noise exercise for the period between 5 and 10 minutes. In this case, we have TWO conditions: the first being Minutes$>$5 and the second being Minutes$<$10. \n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To impose TWO conditions, we can combine each (enclosed in parentheses) with '&': " ] }, { "cell_type": "code", "execution_count": 19, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " Minutes Velocity\n", "6001 5.000833 -15898.0\n", "6002 5.001667 -17112.0\n", "6003 5.002500 -18312.0\n", "6004 5.003333 -19544.0\n", "6005 5.004167 -20811.0\n", " Minutes Velocity\n", "11995 9.995833 9719.0\n", "11996 9.996667 10343.0\n", "11997 9.997500 10992.0\n", "11998 9.998333 11599.0\n", "11999 9.999167 12151.0\n" ] } ], "source": [ "Noise2=EQ[(EQ.Minutes >5) & (EQ.Minutes<10)]\n", "print (Noise2.head()) # see, we only have data after 5 minutes\n", "print (Noise2.tail()) # and before 10 minutes. \n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Following the same logic as before, we can find the bounds for the noise: " ] }, { "cell_type": "code", "execution_count": 20, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "46816.0 -44753.0\n" ] } ], "source": [ "Noise2Max=Noise2.Velocity.max()\n", "Noise2Min=Noise2.Velocity.min()\n", "print (Noise2Max,Noise2Min)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ " To find the new S wave arrival, we find the peaks and troughs that exceed the maximum and minimum values in the time between 5 and 10 minutes. First we need to filter for data after the first 10 minutes. " ] }, { "cell_type": "code", "execution_count": 21, "metadata": {}, "outputs": [], "source": [ "PostP=EQ[EQ.Minutes>10]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ " Now we can use our handy 'or' operator '|' like this: " ] }, { "cell_type": "code", "execution_count": 22, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ " Minutes Velocity\n", "14089 11.740833 -44843.0\n", "14090 11.741667 -45729.0\n", "14091 11.742500 -46570.0\n", "14092 11.743333 -47369.0\n", "14093 11.744167 -48142.0\n" ] } ], "source": [ "PeaksandTroughs2=PostP[(PostP.Velocity>Noise2Max)|(PostP.Velocity\n", "\n", "\n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", " \n", "
DegreesP_wave_minutesP_wave_secondsS-P_minutesS-P_secondsP_decimal_minutesSP_decimal_minutesS_decimal_minutes
00.005.404.00.0900000.0666670.156667
10.5010.607.80.1766670.1300000.306667
21.0017.7013.50.2950000.2250000.520000
31.5024.6019.00.4100000.3166670.726667
42.0031.4024.40.5233330.4066670.930000
\n", "" ], "text/plain": [ " Degrees P_wave_minutes P_wave_seconds S-P_minutes S-P_seconds \\\n", "0 0.0 0 5.4 0 4.0 \n", "1 0.5 0 10.6 0 7.8 \n", "2 1.0 0 17.7 0 13.5 \n", "3 1.5 0 24.6 0 19.0 \n", "4 2.0 0 31.4 0 24.4 \n", "\n", " P_decimal_minutes SP_decimal_minutes S_decimal_minutes \n", "0 0.090000 0.066667 0.156667 \n", "1 0.176667 0.130000 0.306667 \n", "2 0.295000 0.225000 0.520000 \n", "3 0.410000 0.316667 0.726667 \n", "4 0.523333 0.406667 0.930000 " ] }, "execution_count": 25, "metadata": {}, "output_type": "execute_result" } ], "source": [ "DeltaTimeData=pd.read_csv('Datasets/DeltaTimeData.csv') # read this back in\n", "DeltaTimeData.head()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "\n", "\n", "\n", "So, how many degrees away from the source is the reciever based on the DeltaTimeData data from the Reference Earth Model? \n", "\n", "Here is the plot from our reference model (again). \n", "\n", "\n", "\n", "\n", "\n" ] }, { "cell_type": "code", "execution_count": 26, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "execution_count": 26, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Image(filename='Figures/TravelTime.png')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "We can bracket the angular distance this represents by filtering the **DeltaTimeData** DataFrame for those records within, say, .2 minutes of our delay time:" ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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DegreesP_wave_minutesP_wave_secondsS-P_minutesS-P_secondsP_decimal_minutesSP_decimal_minutesS_decimal_minutes
9686.01237.01031.912.61666710.53166723.148333
9787.01241.91036.712.69833310.61166723.310000
9888.01246.71041.412.77833310.69000023.468333
9989.01251.41046.112.85666710.76833323.625000
10090.01256.11050.712.93500010.84500023.780000
\n", "
" ], "text/plain": [ " Degrees P_wave_minutes P_wave_seconds S-P_minutes S-P_seconds \\\n", "96 86.0 12 37.0 10 31.9 \n", "97 87.0 12 41.9 10 36.7 \n", "98 88.0 12 46.7 10 41.4 \n", "99 89.0 12 51.4 10 46.1 \n", "100 90.0 12 56.1 10 50.7 \n", "\n", " P_decimal_minutes SP_decimal_minutes S_decimal_minutes \n", "96 12.616667 10.531667 23.148333 \n", "97 12.698333 10.611667 23.310000 \n", "98 12.778333 10.690000 23.468333 \n", "99 12.856667 10.768333 23.625000 \n", "100 12.935000 10.845000 23.780000 " ] }, "execution_count": 27, "metadata": {}, "output_type": "execute_result" } ], "source": [ "find_delta=DeltaTimeData[\n", " (DeltaTimeData.SP_decimal_minutes>delayTime-.2) & \n", " (DeltaTimeData.SP_decimal_minutes" ] }, "execution_count": 28, "metadata": {}, "output_type": "execute_result" } ], "source": [ "Image(filename='Figures/greatCirc.png')" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "First, we must calculate the angular distance (great circle distance in arc length - not kilometers) for the two points, B and C. \n", "\n", "We'll need to use _spherical trigonometry_ which is very useful in Earth Science because we live on a sphere. " ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [ { "data": { "image/png": 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\n", "text/plain": [ "" ] }, "execution_count": 29, "metadata": { "image/png": { "height": 500, "width": 500 } }, "output_type": "execute_result" } ], "source": [ "Image(filename='Figures/strig.png',width=500,height=500)\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "[Figure from Tauxe et al., 2010, Essentials of Paleomagnetism; https://earthref.org/MagIC/books/Tauxe/Essentials/WebBook3ap1.html#x20-211000A.3\n", "]" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "\n", "One of the laws of spherical trigonometry is the Law of Cosines: \n", "\n", "\n", "$\\cos a = \\cos b \\cos c + \\sin b \\sin c \\cos \\alpha$.\n", "\n", "In our case, $a$ is the great circle distance between points on the globe, $B$ and $C$. Well, well, well, that could come in handy here. So to get $a$ we need to know $b, c$ and $\\alpha$. $b$ and $c$ are the co-latitudes (90-latitude) of points B and C, respectively, and $\\alpha$ is the difference in the two longitudes.\n", "\n", "Now we have a formula, we can write a function to calculate the great circle distance from the latitudes and longitudes of the two points (lat\\_1,lon\\_1,lat\\_2,lon\\_2). " ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "def great_circle(lat_1,lon_1,lat_2,lon_2):\n", " \"\"\"\n", " calculates great circle distance between two points on a globe\n", " Parameters:\n", " lat_1 : float\n", " latitude of first point\n", " lon_1 : float\n", " longitude of first point\n", " lat_2 : float\n", " latitude of second point\n", " lon_2 : float\n", " longitude of second point\n", " Returns:\n", " a : float\n", " great circle distance in degrees\n", " \"\"\"\n", " # first we have to convert the latitudes to colatitudes:\n", " colat_1,colat_2=90.-lat_1,90.-lat_2\n", " # and alpha is the difference betwee the two longitudes\n", " alpha=lon_2-lon_1\n", " # Then lets make life easy on us and convert degrees to radians\n", " colat_1,colat_2,alpha= np.radians(colat_1),\\\n", " np.radians(colat_2),np.radians(alpha)# continued line from above\n", " # from spherical trig we know that:\n", " cosa=np.cos(colat_1)*np.cos(colat_2)+np.sin(colat_1)*np.sin(colat_2)*np.cos(alpha)\n", " # solve for a\n", " a=np.arccos(cosa)# take the arc cosine of cosa\n", " # remember to convert back to degrees! \n", " return np.degrees(a) # return the great circle distance in degrees. " ] }, { "cell_type": "code", "execution_count": 31, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Degrees separation between source and receiver: 85.66731577526346\n" ] } ], "source": [ "PF_lat,PF_lon=33.3,-115.7\n", "EQ_lat,EQ_lon=-43.42,-73.95\n", "Delta=great_circle(PF_lat,PF_lon,EQ_lat,EQ_lon)\n", "print ('Degrees separation between source and receiver: ',Delta)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Earlier, we guessed that it would be about 89 degrees. So this is pretty close given our quick and dirty guesstimate. " ] }, { "cell_type": "markdown", "metadata": { "collapsed": true }, "source": [ "### Formatting strings in Python\n", "\n", "Now for a word about formatting strings. Notice how the output of the above print statement printed out all the decimal places. We can do better!\n", "To show only the first decimal place we can use _string formatting_. \n", "\n", "The structure of a formatting statement is:\n", "\n", "**'%FMT'%(DATA)**, \n", "\n", "where **FMT** is a 'format string' and **DATA** is the variable name whose value we want to format. Here is an example in which **FMT** is: \n", "\n", "**3.1f**. \n", "\n", "The first number (3) is the number of characters in the output. The second number (1) is the number of characters AFTER the decimal place. The 'f' means that **DATA** is a floating point variable. \n", "\n", "Other format strings include: %s for a string, %i for an integer, %e for 'scientific notation'. \n", "\n" ] }, { "cell_type": "code", "execution_count": 42, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "no formatting: 85.66731577526346\n", "formatted: 85.7\n", "rounded: 85.7\n" ] } ], "source": [ "print ('no formatting: ',Delta) # no formatting\n", "print ('formatted: ','%3.1f'%(Delta)) # with formatting\n", "\n", "# or can use round(Delta,1) \n", "print ('rounded: ',round(Delta,1))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "Recall from Lecture 2:" ] }, { "cell_type": "code", "execution_count": 43, "metadata": {}, "outputs": [], "source": [ "number=1 # an integer\n", "Number=1.0 # a floating point\n", "NUMBER='1' # a string\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "we can use the formatted string trick on them like this: " ] }, { "cell_type": "code", "execution_count": 44, "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "1\n", "1.000000\n", "1.0\n", "1\n" ] } ], "source": [ "\n", "print ('%i'%(number))\n", "print ('%f'%(Number))\n", "print ('%3.1f'%(Number))\n", "print ('%s'%(NUMBER))\n", "\n", "\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Or for a bigger number: " ] }, { "cell_type": "code", "execution_count": 45, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "3141.592653589793\n", "3.14159e+03\n", "3.14e+03\n" ] } ], "source": [ "bignum=np.pi*1000\n", "print (bignum)\n", "print ('%6.5e'%(bignum))\n", "print ('%3.2e'%(bignum))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Assignment #3\n", "- Make a notebook and change the name of the notebook to: YourLastName_Initial_HW_03 (for example, Cych_B_HW_03)\n", "- Go to the IRIS website (US's national earthquake database, http://ds.iris.edu/ieb/index.html?format=text&nodata=404&starttime=1970-01-01&endtime=2025-01-01&minmag=0&maxmag=10&mindepth=0&maxdepth=900&orderby=time-desc&limit=1000&maxlat=89.18&minlat=-89.18&maxlon=180.00&minlon=-180.00&zm=1&mt=ter) and search for the last 10 earthquakes (set Max quakes to 10) and Priority to Newest). Click on \"Apply\". Then click on 'Download as Excel'. Upload the .csv file to the datahub site or to a directory on your computer with your notebook in it. \n", "- Read this file into a Pandas DataFrame.\n", "- Extract the latitudes, longitudes and depths as a **NumPy** array. \n", "- Make an XY plot with longitude on the horizontal axis and latitudes on the Y axis. Use small red triangles as the symbols. \n", "- Label your axes.\n", "- Save your figure as a .png file\n", "- write a module that has a great circle function in it that returns a value for the distance rounded to the nearest decimal. save your module to be re-used later. \n", "\n", "Your code must be fully commented, the notebook must have the correct name and it must be turned in to Canvas before the deadline.\n", "\n", "To turn it in, you must include the datafile you downloaded in a zip file with your solution notebook. " ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.6.7" } }, "nbformat": 4, "nbformat_minor": 1 }