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      "\n",
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      "\n",
      "\u09aa\u09be\u09a8\u09cd\u09a1\u09be\u09b8 (pandas) \u09a8\u09be\u09ae\u099f\u09bf \u098f\u09b8\u09c7\u099b\u09c7 \u09aa\u09cd\u09af\u09be\u09a8\u09c7\u09b2 (PANel) \u0993 \u09a1\u09c7\u099f\u09be (DAta) \u098f\u09b0 \u09b8\u09be\u09a5\u09c7 \u09aa\u09cd\u09b2\u09c1\u09b0\u09be\u09b2 s \u09af\u09c1\u0995\u09cd\u09a4 \u0995\u09b0\u09c7\u0964 \u098f\u099f\u09bf \u09ae\u09c2\u09b2\u09a4 \u09af\u09c7 \u0995\u09cb\u09a8 \u09b8\u09cb\u09b0\u09cd\u09b8 \u09a5\u09c7\u0995\u09c7 \u09a1\u09be\u099f\u09be \u09a8\u09c7\u09df \u0986\u09b0 \u0986\u09aa\u09a8\u09be\u09b0 \u09ab\u09be\u0982\u09b6\u09a8 \u0995\u09b2 \u0985\u09a8\u09c1\u09af\u09be\u09df\u09c0 \u09b8\u09c7\u0987 \u09a1\u09be\u099f\u09be\u0995\u09c7 \u09a8\u09bf\u099c\u09c7\u09b0 \u0995\u09bf\u099b\u09c1 \u0989\u09aa\u09be\u09a4\u09cd\u09a4 \u0995\u09be\u09a0\u09be\u09ae\u09a4\u09c7 \u09ab\u09be\u09b2\u09bf\u09df\u09c7 \u09a6\u09c7\u09df, \u09af\u09be\u09b0 \u0989\u09aa\u09b0 \u0986\u09aa\u09a8\u09bf \u09a1\u09be\u099f\u09be\u09ac\u09c7\u09b8\u09c7\u09b0 \u09ae\u09a4 \u0985\u09aa\u09be\u09b0\u09c7\u09b6\u09be\u09a8 \u099a\u09be\u09b2\u09be\u09a4\u09c7 \u09aa\u09be\u09b0\u09ac\u09c7\u09a8\u0964 \u0989\u09a6\u09be\u09b9\u09b0\u09a3\u09b8\u09cd\u09ac\u09b0\u09c2\u09aa, \u09a7\u09b0\u09c1\u09a8 \u0986\u09aa\u09a8\u09bf \u0995\u09cb\u09a8 \u0993\u09df\u09c7\u09ac\u09b8\u09be\u0987\u099f \u09b8\u09cd\u0995\u09cd\u09b0\u09c7\u09aa \u0995\u09b0\u09c7 \u0995\u09bf\u099b\u09c1 \u099f\u09cd\u09af\u09be\u09ac\u09c1\u09b2\u09be\u09b0 \u09a1\u09be\u099f\u09be \u09aa\u09c7\u09df\u09c7\u099b\u09c7\u09a8 \u09af\u09be \u09a6\u09cd\u09ac\u09bf\u09ae\u09be\u09a4\u09cd\u09b0\u09bf\u0995 \u098f\u09ac\u0982 \u09af\u09c7\u0996\u09be\u09a8\u09c7 \u09ac\u09c7\u09b6 \u0995\u09bf\u099b\u09c1 \u09ae\u09bf\u09b8\u09bf\u0982 \u09b8\u09c7\u09b2 \u09b0\u09df\u09c7\u099b\u09c7, \u0986\u09ac\u09be\u09b0 \u099f\u09c7\u09ac\u09cd\u09b2 \u09b8\u0982\u0996\u09cd\u09af\u09be\u0993 \u098f\u0995\u09be\u09a7\u09bf\u0995 \u09af\u09be\u09a6\u09c7\u09b0 \u09ae\u09a7\u09cd\u09af\u09c7 \u0995\u09ae\u09a8 \u09b8\u09a6\u09b8\u09cd\u09af \u0986\u099b\u09c7\u0964 \u0986\u09aa\u09a8\u09bf \u09b8\u09c7\u0987 \u09a1\u09be\u099f\u09be \u09a5\u09c7\u0995\u09c7 \u0987\u09a8\u09ab\u09b0\u09cd\u09ae\u09c7\u09b6\u09a8 \u09ac\u09c7\u09b0 \u0995\u09b0\u09a4\u09c7 \u099a\u09be\u09a8, \u0985\u09b0\u09cd\u09a5\u09be\u09ce \u09a1\u09be\u099f\u09be\u09b0 \"\u09ae\u09b0\u09cd\u09ae\" \u09ac\u09c7\u09b0 \u0995\u09b0\u09a4\u09c7 \u099a\u09be\u09a8\u0964 \u09aa\u09be\u09a8\u09cd\u09a1\u09be\u09b8 \u0995\u09bf\u09ad\u09be\u09ac\u09c7 \u09b8\u09be\u09b9\u09be\u09af\u09cd\u09af \u0995\u09b0\u09a4\u09c7 \u09aa\u09be\u09b0\u09c7 \u0986\u09aa\u09a8\u09be\u0995\u09c7 \u098f\u0996\u09be\u09a8\u09c7? \n",
      "\n",
      "* \u09aa\u09cd\u09b0\u09a5\u09ae\u09c7 \u0986\u09b8\u09bf \u09a1\u09be\u099f\u09be \u0995\u09be\u09b2\u09c7\u0995\u09b6\u09a8\u09c7, \u0986\u09aa\u09a8\u09bf \u0995\u09bf \u0995\u09bf \u09ad\u09be\u09ac\u09c7 \u09a1\u09be\u099f\u09be \u09aa\u09c7\u09a4\u09c7 \u09aa\u09be\u09b0\u09c7\u09a8? \u09aa\u09be\u0987\u09a5\u09a8\u09c7\u09b0 \u09ac\u09c7\u09b6 \u09ad\u09be\u09b2 \u0995\u09bf\u099b\u09c1 \u0993\u09df\u09c7\u09ac\u09b8\u09be\u0987\u099f \u09b8\u09cd\u0995\u09cd\u09b0\u09c7\u09aa\u09bf\u0982 \u099f\u09c1\u09b2 \u09b0\u09df\u09c7\u099b\u09c7, \u0993\u0997\u09c1\u09b2\u09cb \u09a5\u09c7\u0995\u09c7 \u0986\u09aa\u09a8\u09bf \u0986\u09aa\u09a8\u09be\u09b0 \u09a1\u09be\u099f\u09be\u0995\u09c7 csv, excel \u0987\u09a4\u09cd\u09af\u09be\u09a6\u09bf \u09ab\u09b0\u09ae\u09cd\u09af\u09be\u099f\u09c7 \u09ab\u09c7\u09b2\u09a4\u09c7 \u09aa\u09be\u09b0\u09c7\u09a8\u0964 \u0996\u09c7\u09df\u09be\u09b2 \u09b0\u09be\u0996\u09a4\u09c7 \u09b9\u09ac\u09c7 \u09af\u09c7, \u09a1\u09be\u099f\u09be\u09ac\u09c7\u099c\u09c7 \u09af\u09c7\u09ae\u09a8 \u09a1\u09be\u099f\u09be \u0997\u09a0\u09bf\u09a4 \u09a5\u09be\u0995\u09c7 \u0985\u09a5\u09ac\u09be \u0986\u09aa\u09a8\u09bf \u0985\u09a8\u09cd\u09a4\u09a4 \u09aa\u0995\u09cd\u09b7\u09c7 \u09a1\u09be\u099f\u09be\u09b0 \u0985\u09ac\u0995\u09be\u09a0\u09be\u09ae\u09cb \u099c\u09be\u09a8\u09a4\u09c7 \u09aa\u09be\u09b0\u09c7\u09a8, \u098f\u0987 \u09a6\u09c1\u09a8\u09bf\u09df\u09be\u09a4\u09c7 \u09a4\u09be \u0995\u09bf\u09a8\u09cd\u09a4\u09c1 \u09a8\u09be, \u0986\u09aa\u09a8\u09bf \u098f\u0995 \u09a8\u099c\u09b0\u09c7 \u0986\u09aa\u09a8\u09be\u09b0 \u09b8\u09cb\u09b0\u09cd\u09b8 (\u0993\u09df\u09c7\u09ac\u09b8\u09be\u0987\u099f, \u0995\u09aa\u09bf \u09aa\u09c7\u0987\u09b8\u09cd\u099f \u0995\u09b0\u09be \u09a1\u09be\u099f\u09be \u0987\u09a4\u09cd\u09af\u09be\u09a6\u09bf) \u09a6\u09c7\u0996\u09c7 \u099c\u09be\u0987 \u09ac\u09c1\u099d\u09ac\u09c7\u09a8 \u09a8\u09be \u0995\u09c7\u09a8, \u0985\u0987 \u09a1\u09be\u099f\u09be\u09b0 \u09ae\u09be\u099d\u0996\u09be\u09a8\u09c7 \u0995\u09cb\u09a8 \u0997\u09cd\u09af\u09be\u09aa \u0986\u099b\u09c7 \u0995\u09bf\u09a8\u09be, \u0986\u09b0 \u0995\u09cb\u09a8 \u09ad\u09cd\u09af\u09be\u09b2\u09bf\u09a1\u09c7\u09b6\u09a8 \u0995\u09be\u09a0\u09be\u09ae \u09ab\u09b2\u09cb \u0995\u09b0\u09a4\u09c7\u099b\u09c7 \u0995\u09bf\u09a8\u09be \u09a4\u09be \u0995\u09bf\u09a8\u09cd\u09a4\u09c1 \u0995\u09cb\u09a8 \u0997\u09cd\u09af\u09be\u09b0\u09be\u09a8\u09cd\u099f\u09bf \u09a6\u09bf\u09df\u09c7 \u09ac\u09b2\u09be \u09b9\u09df\u09a8\u09bf\u0964 \u0986\u09b0 \u09ae\u09be\u099d\u09c7 \u09ae\u09be\u099d\u09c7 \u0986\u09aa\u09a8\u09bf \u09b9\u09df\u09a4 \u09b2\u09be\u0995\u09bf \u09b9\u09a4\u09c7 \u09aa\u09be\u09b0\u09c7\u09a8 \u09af\u0996\u09a8 API \u098f\u09b0 \u09ac\u09a6\u09cc\u09b2\u09a4\u09c7 JSON, YAML, XML, \u0987\u09a4\u09cd\u09af\u09be\u09a6\u09bf \u09a1\u09be\u099f\u09be \u09aa\u09be\u099a\u09cd\u099b\u09c7\u09a8 \u0995\u09bf\u09a8\u09cd\u09a4\u09c1 \u09af\u0996\u09a8 \u09ae\u09be\u09b2\u09cd\u099f\u09bf\u09aa\u09b2 \u09b8\u09cb\u09b0\u09cd\u09b8 \u09a5\u09c7\u0995\u09c7 \u0986\u09b8\u09ac\u09c7? \u098f\u0996\u09be\u09a8\u09c7 \u0986\u0997\u09c7 \u09a1\u09be\u099f\u09be \u09aa\u09be\u09ac\u09c7\u09a8, \u098f\u09b0\u09aa\u09b0 \u0995\u09be\u09a0\u09be\u09ae \u09ac\u09c1\u099d\u09ac\u09c7\u09a8, \u0995\u09be\u099c\u09c7\u0987 \u09b0\u09bf\u09b2\u09c7\u09b6\u09a8\u09be\u09b2 \u09a1\u09be\u099f\u09be\u09ac\u09c7\u099c \u09a6\u09bf\u09df\u09c7 \u09a4\u09c7\u09ae\u09a8 \u09ab\u09be\u09df\u09a6\u09be \u09b9\u09ac\u09c7 \u09a8\u09be, \u09b9\u09b2\u09c7\u0993 \u0986\u09aa\u09a8\u09be\u0995\u09c7 \u09b8\u09c7\u0987\u09b0\u0995\u09ae \u09b2\u09c7\u09ad\u09c7\u09b2\u09c7 \u09ae\u09be\u0987\u0997\u09cd\u09b0\u09c7\u09b6\u09a8\u09c7\u09b0 \u09aa\u09cd\u09b0\u09b8\u09cd\u09a4\u09c1\u09a4\u09bf \u09a8\u09bf\u09a4\u09c7 \u09b9\u09ac\u09c7 \u09af\u09be \u0985\u09a8\u09c7\u0995 \u09ac\u09c7\u09a6\u09a8\u09be\u09a6\u09be\u09df\u0995\u0964 \u09aa\u09be\u09a8\u09cd\u09a1\u09be\u09b8 \u0986\u09aa\u09a8\u09be\u0995\u09c7 \u09a6\u09bf\u09df\u09c7\u099b\u09c7 \u0995\u09bf\u099b\u09c1 \u09ab\u09be\u0982\u09b6\u09a8 \u09af\u09be \u09a6\u09bf\u09df\u09c7 \u0986\u09aa\u09a8\u09bf \u09ac\u09bf\u09ad\u09bf\u09a8\u09cd\u09a8 \u09b8\u09cb\u09b0\u09cd\u09b8 \u09a5\u09c7\u0995\u09c7 \u09a1\u09be\u099f\u09be \u09a8\u09bf\u09df\u09c7 \u09aa\u09be\u09a8\u09cd\u09a1\u09be\u09b8 \u09b0\u09bf\u09a1\u09be\u09ac\u09cd\u09b2 \u0995\u09b0\u09c7 \u09ae\u09a7\u09cd\u09af\u09ac\u09b0\u09cd\u09a4\u09c0 \u0995\u09bf\u099b\u09c1 \u09a1\u09be\u099f\u09be \u0995\u09be\u09a0\u09be\u09ae\u09cb\u09a4\u09c7 \u09ab\u09c7\u09b2\u09a4\u09c7 \u09aa\u09be\u09b0\u09ac\u09c7\u09a8\u0964\n",
      "\n",
      "* \u09aa\u09be\u09a8\u09cd\u09a1\u09be\u09b8\u09c7\u09b0 \u09a8\u09bf\u099c\u09b8\u09cd\u09ac \u0995\u09bf\u099b\u09c1 \u0989\u09aa\u09be\u09a4\u09cd\u09a4 \u0995\u09be\u09a0\u09be\u09ae \u09b0\u09df\u09c7\u099b\u09c7, \u09af\u09be \u09a1\u09be\u099f\u09be \u09ac\u09bf\u09b6\u09cd\u09b2\u09c7\u09b7\u09a3\u0995\u09c7 \u09b8\u09b9\u099c\u09a4\u09b0 \u0995\u09b0\u09c7, \u098f\u09b0\u09be \u09b9\u09b2 \u09ae\u09a7\u09cd\u09af\u09ac\u09b0\u09cd\u09a4\u09c0 \u0985\u09ac\u09b8\u09cd\u09a5\u09be, \u09b8\u09cb\u09b0\u09cd\u09b8 \u09a5\u09c7\u0995\u09c7 \u09a1\u09be\u099f\u09be \u09b9\u099c\u09ae \u0995\u09b0\u09c7 \u0986\u09aa\u09a8\u09be\u0995\u09c7 \u09a6\u09bf\u09ac\u09c7 \u0996\u09c7\u09b2\u09be \u0995\u09b0\u09be\u09b0 \u09b8\u09c1\u09af\u09cb\u0997, \u0986\u09b0 \u098f\u0995\u0987 \u09b8\u09be\u09a5\u09c7 \u098f\u09b0\u09be \u0996\u09c1\u09ac \u09b8\u09b9\u099c\u09c7 \u09ae\u09cd\u09af\u09be\u099f\u09aa\u09cd\u09b2\u099f\u09b2\u09bf\u09ac \u099a\u09bf\u09a4\u09cd\u09b0\u09c7 \u09aa\u09b0\u09bf\u09a3\u09a4 \u09b9\u09a4\u09c7 \u09aa\u09be\u09b0\u09c7, \u0986\u09b0 \u09b8\u09b0\u09cd\u09ac\u09cb\u09aa\u09b0\u09bf, \u0995\u09be\u099c \u09b6\u09c7\u09b7\u09c7 \u09aa\u09b0\u09bf\u09a3\u09a4 \u09b9\u09a4\u09c7 \u09aa\u09be\u09b0\u09c7 \u09af\u09c7 \u0995\u09cb\u09a8 \u09ab\u09b0\u09ae\u09cd\u09af\u09be\u099f\u09c7, \u09a4\u09be \u09a1\u09be\u099f\u09be\u09ac\u09c7\u099c \u09b9\u09cb\u0995, \u098f\u0995\u09cd\u09b8\u09c7\u09b2 \u09b9\u09cb\u0995, \u0986\u09b0 \u09b9\u09cb\u0995 \u098f\u0987\u099a\u099f\u09bf\u098f\u09ae\u098f\u09b2\u0964 \u09a1\u09be\u099f\u09be \u098f\u0995\u09cd\u09b8\u09aa\u09cd\u09b2\u09b0\u09c7\u09b6\u09a8\u09c7\u09b0 \u099c\u09a8\u09cd\u09af \u0985\u09a8\u09c7\u0995 \u0997\u09c1\u09b0\u09c1\u09a4\u09cd\u09ac\u09aa\u09c2\u09b0\u09cd\u09a3 \u098f\u0987\u09b8\u09ac \u09a1\u09be\u099f\u09be \u09b8\u09cd\u099f\u09cd\u09b0\u09be\u0995\u099a\u09be\u09b0\u0964\n",
      "\n",
      "* \u09a1\u09be\u099f\u09be \u09b8\u09cd\u099f\u09cd\u09b0\u09be\u0995\u099a\u09be\u09b0 \u09ae\u09be\u09a8\u09c7\u0987 \u0997\u09a0\u09a8, \u09ae\u09bf\u09b6\u09cd\u09b0\u09a3, \u09b8\u09ae\u09cd\u09aa\u09b0\u09cd\u0995\u0964 \u098f\u0987\u0997\u09c1\u09b2\u09cb \u09b8\u09ac \u0986\u09aa\u09a8\u09bf \u09aa\u09be\u0987\u09a5\u09a8 \u09aa\u09cd\u09b0\u09cb\u0997\u09cd\u09b0\u09be\u09ae\u09bf\u0982 \u09a6\u09bf\u09df\u09c7 \u0995\u09b0\u09a4\u09c7 \u09aa\u09be\u09b0\u099b\u09c7\u09a8 \u0989\u09aa\u09b0\u09bf\u0989\u0995\u09cd\u09a4 \u0995\u09be\u09a0\u09be\u09ae\u0997\u09c1\u09b2\u09cb\u09a4\u09c7, \u0986\u09ac\u09be\u09b0, \u098f\u09a6\u09c7\u09b0 \u09b8\u09be\u09b0\u09ae\u09b0\u09cd\u09ae \u0985\u09b0\u09cd\u09a5\u09be\u09ce \u09aa\u09b0\u09bf\u09b8\u0982\u0996\u09cd\u09af\u09be\u09a8\u0997\u09a4 \u09a4\u09a5\u09cd\u09af \u09aa\u09c7\u09df\u09c7 \u09af\u09be\u09ac\u09c7\u09a8 \u098f\u0995 \u0995\u09b2\u09ae\u09c7\u0987\u0964 \u09a6\u09c1\u0987\u099f\u09bf \u0986\u09b2\u09be\u09a6\u09be \u0986\u09b2\u09be\u09a6\u09be \u0995\u09be\u09a0\u09be\u09ae\u09a4\u09c7 \u0986\u09aa\u09a8\u09bf \u0997\u09cd\u09b0\u09c1\u09aa\u09bf\u0982 \u0995\u09b0\u09a4\u09c7 \u09aa\u09be\u09b0\u09ac\u09c7\u09a8 \u0986\u09b0 \u099c\u09df\u09c7\u09a8 \u0995\u09b0\u09a4\u09c7 \u09aa\u09be\u09b0\u09ac\u09c7\u09a8 \u09b0\u09bf\u09b2\u09c7\u09b6\u09a8\u09be\u09b2 \u09a1\u09be\u099f\u09be\u09ac\u09c7\u099c\u09c7\u09b0 \u09ae\u09a4\u0987, \u09a4\u09be\u09b0 \u0989\u09aa\u09b0 \u0986\u09ac\u09be\u09b0 \u09aa\u09be\u0987\u09a5\u09a8 \u09ab\u09be\u0982\u09b6\u09a8\u09c7\u09b0 \u09ae\u09be\u09a7\u09cd\u09af\u09ae\u09c7 \u09a1\u09be\u099f\u09be \u09b0\u09c2\u09aa\u09be\u09a8\u09cd\u09a4\u09b0\u0993 \u0985\u09a8\u09c7\u0995 \u09b8\u09b9\u099c \u09b9\u09df\u09c7 \u09af\u09be\u09df\u0964\n",
      "\n",
      "* \u0986\u09ae\u09be\u09b0 \u0986\u0997\u09c7\u09b0 \u098f\u0995\u099f\u09bf \u09aa\u09cb\u09b8\u09cd\u099f\u09c7 \u09ae\u09cd\u09af\u09be\u099f\u09aa\u09cd\u09b2\u099f\u09b2\u09bf\u09ac \u09a8\u09bf\u09df\u09c7 \u0985\u09a8\u09c7\u0995 \u0995\u09a5\u09be \u09ac\u09b2\u09c7\u099b\u09bf\u09b2\u09be\u09ae, \u09ae\u09cd\u09af\u09be\u099f\u09aa\u09cd\u09b2\u099f\u09b2\u09bf\u09ac \u0985\u09a8\u09c7\u0995 \u09b8\u09b9\u099c\u09c7 \u09aa\u09be\u09a8\u09cd\u09a1\u09be\u09b8 \u0995\u09be\u09a0\u09be\u09ae\u0997\u09c1\u09b2\u09cb\u0995\u09c7 \u0986\u0981\u0995\u09a4\u09c7 \u09aa\u09be\u09b0\u09c7\u0964 \u09aa\u09be\u09a8\u09cd\u09a1\u09be\u09b8\u09bf \u0985\u09a8\u09c7\u0995 \u09ac\u09cd\u09af\u09ac\u09b8\u09cd\u09a5\u09be \u09a6\u09bf\u09df\u09c7 \u09a6\u09c7\u09df \u09ae\u09cd\u09af\u09be\u099f\u09aa\u09cd\u09b2\u099f\u09b2\u09bf\u09ac\u09c7 \u0986\u0981\u0995\u09be\u09b0 \u099c\u09a8\u09cd\u09af\u0964\n",
      "\n",
      "* \u0986\u09ae\u09bf \u0986\u09ae\u09be\u09b0 \u09a1\u09be\u099f\u09be \u09b8\u0982\u0995\u09cd\u09b0\u09be\u09a8\u09cd\u09a4 \u09aa\u09cd\u09b0\u09a5\u09ae \u09aa\u09cb\u09b8\u09cd\u099f\u09c7 \u09b2\u09bf\u0996\u09c7\u099b\u09bf\u09b2\u09be\u09ae \u09a8\u09be\u09ae\u09aa\u09be\u0987 \u098f\u09b0 \u0995\u09a5\u09be\u0964 \u0985\u09a4\u09cd\u09af\u09a8\u09cd\u09a4 \u09a6\u09cd\u09b0\u09c1\u09a4 \u0993 \u09b6\u0995\u09cd\u09a4\u09bf\u09b6\u09be\u09b2\u09c0 \u098f\u0987 \u09b2\u09be\u0987\u09ac\u09cd\u09b0\u09c7\u09b0\u09bf\u099f\u09bf \u0995\u09bf\u09a8\u09cd\u09a4\u09c1 \u09aa\u09be\u09a8\u09cd\u09a1\u09be\u09b8\u09c7\u09b0 \u09ad\u09bf\u09a4\u09cd\u09a4\u09bf, \u0995\u09be\u099c\u09c7\u0987 \u09ac\u09c1\u099d\u09be \u09af\u09be\u099a\u09cd\u099b\u09c7, \u09aa\u09be\u09a8\u09cd\u09a1\u09be\u09b8 \u0985\u09a4\u09cd\u09af\u09a8\u09cd\u09a4 \u09aa\u09be\u09b0\u09ab\u09b0\u09ae\u09cd\u09af\u09be\u09a8\u09cd\u099f\u0964\n",
      "\n",
      "* \u098f\u0995 \u0995\u09a5\u09be\u09df, \u0986\u09aa\u09a8\u09be\u09b0 \u09a1\u09be\u099f\u09be \u0995\u09be\u09b2\u09c7\u0995\u09b6\u09a8\u09c7\u09b0 \u09aa\u09b0 \u09af\u09c7 \u0996\u09c7\u09b2\u09be\u09a7\u09c1\u09b2\u09be\u09b0 \u09aa\u09b0\u09cd\u09ac \u09a5\u09be\u0995\u09c7, \u09af\u09be\u09b0 \u09ae\u09be\u09a7\u09cd\u09af\u09ae\u09c7 \u0986\u09aa\u09a8\u09bf \u09a1\u09be\u099f\u09be \u09a5\u09c7\u0995\u09c7 \u0995\u09bf\u099b\u09c1\u099f\u09be \u09ae\u09b0\u09cd\u09ae \u09ac\u09c7\u09b0 \u0995\u09b0\u09c7 \u0986\u09a8\u09c7\u09a8 \u09aa\u09b0\u09ac\u09b0\u09cd\u09a4\u09c0 \u098f\u09a8\u09be\u09b2\u09be\u0987\u09b8\u09bf\u09b8\u09c7\u09b0 \u099c\u09a8\u09cd\u09af\u09c7, \u09b8\u09c7\u0996\u09be\u09a8\u09c7 \u09aa\u09be\u09a8\u09cd\u09a1\u09be\u09b8 \u0985\u09a6\u09cd\u09ac\u09bf\u09a4\u09c0\u09df \u09ad\u09c2\u09ae\u09bf\u0995\u09be \u09b0\u09be\u0996\u09a4\u09c7 \u09aa\u09be\u09b0\u09c7\u0964 \u0986\u09b0 \u09af\u09a6\u09bf \u0986\u09aa\u09a8\u09be\u09b0 \u09ae\u09be\u099d\u09be\u09b0\u09bf \u09a7\u09b0\u09a8\u09c7\u09b0 \u09a1\u09be\u099f\u09be \u09a5\u09be\u0995\u09c7 \u098f\u09ac\u0982 \u0986\u09aa\u09a8\u09bf \u099a\u09be\u09a8 \u09a6\u09cd\u09b0\u09c1\u09a4\u0997\u09a4\u09bf \u09b8\u09ae\u09cd\u09aa\u09a8\u09cd\u09a8 \u09b0\u09bf\u09aa\u09cb\u09b0\u09cd\u099f \u09a6\u09bf\u09a4\u09c7, \u09b8\u09c7\u0996\u09be\u09a8\u09c7\u0993 \u09aa\u09be\u09a8\u09cd\u09a1\u09be\u09b8 \u0986\u09aa\u09a8\u09be\u09b0 \u0996\u09c7\u09b2\u09be\u09b0 \u09b8\u09be\u09a5\u09c0\u0964\n",
      "\n",
      "\u0986\u09ae\u09be\u09b0 \u09ae\u09c7\u09b6\u09bf\u09a8\u09c7 \u09aa\u09be\u09a8\u09cd\u09a1\u09be\u09b8 ```pip install pandas``` \u0995\u09b0\u09be\u09a4\u09c7\u0987 \u09b9\u09df\u09c7 \u0997\u09bf\u09df\u09c7\u099b\u09c7\u0964 \u09af\u09a6\u09bf \u09a8\u09be\u09ae\u09aa\u09be\u0987 \u0986\u09b0 \u09ae\u09cd\u09af\u09be\u099f\u09aa\u09cd\u09b2\u099f\u09b2\u09bf\u09ac \u09a5\u09be\u0995\u09c7 \u0986\u09aa\u09a8\u09be\u09b0 \u0995\u09be\u099b\u09c7, \u09a4\u09be\u09b9\u09b2\u09c7 \u09aa\u09be\u09a8\u09cd\u09a1\u09be\u09b8 \u0987\u09a8\u09cd\u09b8\u099f\u09b2 \u0995\u09b0\u09a4\u09c7 \u098f\u09b0 \u09ac\u09c7\u09b6\u09bf \u0995\u09bf\u099b\u09c1 \u09b2\u09be\u0997\u09be\u09b0 \u0995\u09a5\u09be\u0993 \u09a8\u09be\u0964\n",
      "\n",
      "\u098f\u09ac\u09be\u09b0 \u0995\u09bf\u099b\u09c1 \u0995\u09cb\u09a1\u09bf\u0982 \u09a6\u09c7\u0996\u09be\u09a8 \u09af\u09be\u0995\u0964 (\u0985\u09b0\u09cd\u09a5\u09be\u09ce, ipython notebook --pylab=inline --no-browser \u098f\u09b0 \u0986\u09b8\u09b2 \u0989\u09aa\u0995\u09be\u09b0\u09bf\u09a4\u09be \u09b2\u09cd\u09af\u09be\u09ad \u0995\u09b0\u09be \u09af\u09be\u09ac\u09c7 \u098f\u0996\u09a8 ;) ) "
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "# pd, np, plt <----- \u098f\u0997\u09c1\u09b2\u09cb \u09b8\u09ac \u09b9\u09b2 \u0995\u09a8\u09ad\u09c7\u09a8\u09b6\u09a8\u0964 \n",
      "import numpy as np\n",
      "from matplotlib import pyplot as plt\n",
      "import pandas as pd"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 10
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "\u0987\u09ae\u09aa\u09cb\u09b0\u09cd\u099f \u0995\u09b0\u09be \u09b9\u09b2 \u0986\u09ae\u09be\u09a6\u09c7\u09b0 \u09ae\u09c1\u09b2 \u09a8\u09be\u09df\u0995\u09a6\u09c7\u09b0, \u0986\u09b0 \u098f\u0987\u09ac\u09be\u09b0 \u0986\u09ae\u09bf \u09ae\u09cd\u09af\u09be\u099f\u09aa\u09cd\u09b2\u099f\u09b2\u09bf\u09ac\u09c7 ```plt.xkcd()``` \u0995\u09be\u09b0\u09cd\u099f\u09c1\u09a8 \u0986\u09a8\u099b\u09bf \u09a8\u09be\u0964 \u09a4\u09be\u0987 \u099a\u09bf\u09a4\u09cd\u09b0\u0997\u09c1\u09b2\u09cb \u098f\u0995\u099f\u09c1 \u09b8\u09bf\u09b0\u09bf\u09df\u09be\u09b8 \u0995\u09bf\u09b8\u09bf\u09ae\u09c7\u09b0 \u09b9\u09ac\u09c7 :/\n",
      "\n",
      "\u09aa\u09be\u09a8\u09cd\u09a1\u09be\u09b8\u09c7\u09b0 \u09b8\u09b9\u099c\u09a4\u09ae \u0995\u09be\u09a0\u09be\u09ae\u09cb \u09b9\u09b2 \u09b8\u09bf\u09b0\u09bf\u099c\u0964 \u098f\u099f\u09bf ndarray \u098f\u09b0 \u09ae\u09a4\u0987, \u0995\u09bf\u09a8\u09cd\u09a4\u09c1 \u098f\u0995\u099f\u09c1 \u09ac\u09c7\u09b6\u09bf \u0995\u09cd\u09b7\u09ae\u09a4\u09be\u09ac\u09be\u09a8\u0964"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ser = pd.Series(np.random.randn(10)) # \u09a8\u09be\u09ae\u09aa\u09be\u0987 \u09ae\u09a8\u09c7 \u0986\u099b\u09c7? \u098f\u099f\u09bf \u09b9\u09b2 \u09e7\u09e6 \u09b0\u200d\u09cd\u09af\u09be\u09a8\u09cd\u09a1\u09ae \u09b8\u09a6\u09b8\u09cd\u09af\u09c7\u09b0 \u098f\u0995\u099f\u09bf \u0985\u09cd\u09af\u09be\u09b0\u09c7\u0964"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 8
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "\u09a4\u09cb \u0986\u09ae\u09be\u09a6\u09c7\u09b0 \u098f\u0987 \u09e7\u09e6 \u09b8\u09a6\u09b8\u09cd\u09af\u09c7\u09b0 \u098f\u0987 \u0985\u09cd\u09af\u09be\u09b0\u09c7\u099f\u09bf\u09b0 \u09ae\u09a7\u09cd\u09af\u09c7 \u098f\u09ae\u09a8 \u0995\u09bf \u0986\u099b\u09c7 \u09af\u09be ```map(random.random(), range(10))``` \u098f\u09b0 \u09a8\u09c7\u0987? \u0986\u09aa\u09be\u09a4\u09a6\u09c3\u09b7\u09cd\u099f\u09bf\u09a4\u09c7 \u09a4\u09c7\u09ae\u09a8 \u0995\u09bf\u099b\u09c1 \u09a8\u09be, \u0995\u09bf\u09a8\u09cd\u09a4\u09c1 \u09af\u09a6\u09bf \u0986\u09b0\u09c7\u0995\u09cd\u099f\u09c1 \u09a6\u09c7\u0996\u09bf-"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ser_0 = pd.Series(range(10))\n",
      "ser_1 = pd.Series(np.random.randn(10), index=list(\"abcdefghij\"))\n",
      "ser_2 = pd.Series({\"Dhaka\": 42.0, \"Chittagong\": 36.0, \"Sylhet\": 29.0})"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 46
    },
    {
     "cell_type": "raw",
     "metadata": {},
     "source": [
      "\u0985\u09b0\u09cd\u09a5\u09be\u09ce \u0986\u09aa\u09a8\u09bf \u09b8\u09bf\u09b0\u09bf\u099c\u0995\u09c7 \u09ac\u09bf\u09ad\u09bf\u09a8\u09cd\u09a8\u09ad\u09be\u09ac\u09c7 \u09b6\u09c1\u09b0\u09c1 \u0995\u09b0\u09a4\u09c7 \u09aa\u09be\u09b0\u09ac\u09c7\u09a8\u0964 \u0986\u09b0 \u09b2\u09bf\u09b8\u09cd\u099f \u09ac\u09b2\u09c7\u09a8, ndarray \u09ac\u09b2\u09c7\u09a8 \u0986\u09b0 \u09a1\u09bf\u0995\u09b6\u09a8\u09be\u09b0\u09bf \u09ac\u09b2\u09c7\u09a8, \u09af\u09c7 \u0995\u09cb\u09a8\u09ad\u09be\u09ac\u09c7\u0987 \u0987\u09a8\u09bf\u09b8\u09bf\u09df\u09c7\u099f \u0995\u09b0\u09be \u09af\u09be\u09ac\u09c7\u0964 \u0986\u09b0 \u098f\u09b0 \u09b8\u09be\u09a5\u09c7 \u0987\u09a8\u09a1\u09c7\u0995\u09cd\u09b8 \u09b0\u09df\u09c7\u099b\u09c7 \u09af\u09be \u0986\u09aa\u09a8\u09be\u09b0 \u09b2\u09c1\u0995\u0986\u09aa\u09c7 \u09b8\u09b9\u09be\u09df\u0995 \u09b9\u09ac\u09c7\u0964 \n",
      "\n",
      "\u09b8\u09bf\u09b0\u09bf\u099c \u09a8\u09be\u09ae\u09aa\u09be\u0987 \u0985\u09cd\u09af\u09be\u09b0\u09c7 \u09b9\u09bf\u09b8\u09c7\u09ac\u09c7\u0993 \u0995\u09be\u099c \u0995\u09b0\u09ac\u09c7\u0964 \u09af\u09c7\u09ae\u09a8"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ser_1[ser_1 < 0] # \u09b8\u09ae\u09b8\u09cd\u09a4 \u098b\u09a3\u09be\u09a4\u09cd\u09ae\u0995 \u09a8\u09be\u09ae\u09cd\u09ac\u09be\u09b0\u0964 "
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 22,
       "text": [
        "a   -0.871457\n",
        "b   -0.222189\n",
        "d   -0.758087\n",
        "h   -1.208023\n",
        "dtype: float64"
       ]
      }
     ],
     "prompt_number": 22
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ser_2[[\"Dhaka\", \"Sylhet\"]] # \u09b6\u09c1\u09a7\u09c1 \u09a2\u09be\u0995\u09be \u0993 \u09b8\u09bf\u09b2\u09c7\u099f\u0964 "
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 24,
       "text": [
        "Dhaka     42\n",
        "Sylhet    29\n",
        "dtype: float64"
       ]
      }
     ],
     "prompt_number": 24
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "\u0985\u09a8\u09c7\u0995\u099f\u09be \u099c\u09be\u09ad\u09be\u09b8\u09cd\u0995\u09cd\u09b0\u09bf\u09aa\u09cd\u099f\u09c7\u09b0 \u09ae\u09a4, ser_2.Dhaka \u0986\u09b0 ser_2[\"Dhaka\"] \u098f\u0995\u0987 \u0995\u09a5\u09be\u0964"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "assert ser_2.Dhaka == ser_2[\"Dhaka\"]\n",
      "print ser_1.a"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "-0.87145665176\n"
       ]
      }
     ],
     "prompt_number": 26
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "\u098f\u09b8\u09be\u0987\u09a8\u09cd\u09ae\u09c7\u09a8\u09cd\u099f \u0995\u09b0\u09be \u0995\u09ae\u09a8 \u09b8\u09c7\u09a8\u09cd\u09b8\u09c7\u09b0 \u09ac\u09cd\u09af\u09be\u09aa\u09be\u09b0"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ser_2.Sylhet = 30.0 # \u09b8\u09bf\u09b2\u09c7\u099f\u09c7\u09b0 \u09a4\u09be\u09aa\u09ae\u09be\u09a4\u09cd\u09b0\u09be \u09e7 \u09a1\u09bf\u0997\u09cd\u09b0\u09c0 \u09ac\u09be\u09dc\u09b2!\n",
      "print ser_2"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Chittagong    36\n",
        "Dhaka         42\n",
        "Sylhet        30\n",
        "dtype: float64\n"
       ]
      }
     ],
     "prompt_number": 29
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "\u09aa\u09cd\u09b2\u099f \u0995\u09b0\u09a4\u09c7 \u099a\u09be\u09a8? \u09af\u09c7\u09ad\u09be\u09ac\u09c7 \u0986\u09aa\u09a8\u09bf \u099a\u09bf\u09a8\u09cd\u09a4\u09be \u0995\u09b0\u099b\u09bf\u09b2\u09c7\u09a8 \u09b8\u09c7\u09ad\u09be\u09ac\u09c7\u0987 \u09b9\u09df!"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ser_1.plot()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 32,
       "text": [
        "<matplotlib.axes.AxesSubplot at 0xa6077cc>"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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HHvGcbf2Sk117RJw93IN3QFFoen/nzrSJtjsaPZr+Ur/2mpjz79pF9zays8WM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\nnjHG3BQXeMYYc1P/D9OquFs1oO7/AAAAAElFTkSuQmCC\n"
      }
     ],
     "prompt_number": 32
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "\u09a1\u09bf\u09ab\u09b2\u09cd\u099f \u09aa\u09cd\u09b2\u099f\u09c7 \u0996\u09c1\u09b6\u09bf \u09a8\u09be? \u0986\u09aa\u09a8\u09bf \u09ae\u09cd\u09af\u09be\u099f\u09aa\u09b2\u09cd\u099f\u09b2\u09bf\u09ac\u09c7\u09b0 \u09ae\u09a4 \u09aa\u09cd\u09af\u09be\u09b0\u09be\u09ae\u09bf\u099f\u09be\u09b0 \u09aa\u09be\u09b8 \u0995\u09b0\u09a4\u09c7 \u09aa\u09be\u09b0\u09ac\u09c7\u09a8 \u09b8\u09b9\u099c\u09c7\u0987!"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ser_2.plot(kind=\"barh\", color=\"orange\", alpha=0.6, legend=True, rot=30)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 43,
       "text": [
        "<matplotlib.axes.AxesSubplot at 0xb4c57ac>"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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NRoPs7GysWbMGe/fuxaxZs+Dp6anmIRARWbR6s0dz4cIFJCQkoEePHggICMDBgwcxZswY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\nkC/u4o5/AAAAAElFTkSuQmCC\n"
      }
     ],
     "prompt_number": 43
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "\u098f\u0995\u099f\u09be \u09b8\u09cd\u099f\u09be\u0987\u09b2 \u09ae\u09a8\u09c7 \u0986\u099b\u09c7? \u09a8\u09be\u09ae\u09aa\u09be\u0987\u09a4\u09c7 \u09af\u09c7 \u0986\u09aa\u09a8\u09bf \u098f\u0995\u099f\u09bf \u0985\u09aa\u09be\u09b0\u09c7\u09b6\u09be\u09a8 \u0995\u09b0\u09a4\u09c7\u09a8 \u0986\u09b0 \u0985\u0987 \u0985\u09cd\u09af\u09be\u09b0\u09c7 \u098f\u09b0 \u09b8\u09ae\u09b8\u09cd\u09a4 \u09b8\u09a6\u09b8\u09cd\u09af\u09b0\u09be \u09b8\u09c7 \u0985\u09aa\u09be\u09b0\u09c7\u09b6\u09be\u09a8 \u09aa\u09c7\u09a4? \u098f\u0995\u09c7 \u09ac\u09b2\u09be \u09b9\u09df \u09ac\u09cd\u09b0\u09a1\u0995\u09be\u09b8\u09cd\u099f\u09bf\u0982\u0964 \u09af\u09c7\u09ae\u09a8 \u0986\u09aa\u09a8\u09bf \u09af\u09a6\u09bf \u09ac\u09b2\u09c7\u09a8 ```arr = np.array([1,2,3]); arr = arr + 10``` \u09a4\u09be\u09b9\u09b2\u09c7 arr \u09b9\u09ac\u09c7 np.array([11, 12, 13])\u0964 \u098f\u0987 \u0985\u09ad\u09cd\u09af\u09be\u09b8\u099f\u09be \u09aa\u09be\u09a8\u09cd\u09a1\u09be\u09b8\u09c7\u09b0 \u09a1\u09be\u099f\u09be\u0997\u09c1\u09b2\u09bf\u09a4\u09c7\u0993 \u0986\u099b\u09c7\u0964 \u09a7\u09b0\u09c1\u09a8 \u09b8\u09ac\u09be\u09b0 \u09a4\u09be\u09aa\u09ae\u09be\u09a4\u09cd\u09b0\u09be \u09e9 \u09a1\u09bf\u0997\u09cd\u09b0\u09c0 \u0995\u09ae\u09c7 \u0997\u09c7\u09b2\u0964"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ser_2 = ser_2 - 3.0 # \u09b8\u09ac\u09be\u0987 \u09aa\u09c7\u09df\u09c7\u099b\u09c7 \u09ae\u09be\u0987\u09a8\u09be\u09b8\u09c7\u09b0 \u09ae\u09c7\u09b8\u09c7\u099c, \u09a4\u09be\u0987 \u09b9\u09df\u09a4 \u098f\u0995\u09c7 \u09ac\u09cd\u09b0\u09a1\u0995\u09be\u09b8\u09cd\u099f \u09ac\u09b2\u09c7\u0964 \n",
      "print ser_2"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Chittagong    30\n",
        "Dhaka         36\n",
        "Sylhet        23\n",
        "dtype: float64\n"
       ]
      }
     ],
     "prompt_number": 51
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "\u0995\u09c7 \u0995\u09a4\u09ac\u09be\u09b0 \u0986\u099b\u09c7 \u099c\u09be\u09a8\u09a4\u09c7 \u099a\u09be\u09a8? \u09ac\u09cd\u09af\u09ac\u09b9\u09be\u09b0 \u0995\u09b0\u09c1\u09a8 value_counts \u0995\u09bf\u09a8\u09cd\u09a4\u09c1 \u09af\u09c7\u09b9\u09c7\u09a4\u09c1 \u0986\u09ae\u09be\u09a6\u09c7\u09b0 \u0986\u0997\u09c7\u09b0 \u09b8\u09bf\u09b0\u09bf\u099c\u0997\u09c1\u09b2\u09cb\u09a4\u09c7 \u0995\u09cb\u09a8 \u09b0\u09bf\u09aa\u09bf\u099f\u09c7\u09b6\u09a8 \u09a8\u09c7\u0987 \u09a4\u09be\u0987 \u09a8\u09a4\u09c1\u09a8 \u09b8\u09bf\u09b0\u09bf\u099c \u09a4\u09c8\u09b0\u09bf \u0995\u09b0\u09bf\u0964 \u0993\u09df\u09be\u09b0\u09cd\u09b2\u09cd\u09a1 \u0995\u09be\u09aa \u0997\u09cb\u09b2 \u09b8\u0982\u0996\u09cd\u09af\u09be \u09aa\u09be\u09b0\u09ab\u09c7\u0995\u09cd\u099f \u09b9\u09ac\u09c7 \u098f\u0996\u09be\u09a8\u09c7\u0964"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "data = dict(Klose=16,\n",
      "                Ronaldo=15,\n",
      "                Muller=14,\n",
      "                Fontaine=13,\n",
      "                Pele=12,\n",
      "                Klinsmann=11,\n",
      "                Kocsis=11,\n",
      "                Batistuta=10,\n",
      "                Cubillas=10,\n",
      "                Lato=10,\n",
      "                Lineker=10,\n",
      "                TMuller=10,\n",
      "                Rahn=10)\n",
      "ser = pd.Series(data)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 22
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "\u09a6\u09c7\u0996\u09be \u09af\u09be\u0995 \u0986\u0997\u09c7 \u098f\u09a6\u09c7\u09b0 \u09aa\u09cd\u09b0\u09bf\u09a8\u09cd\u099f\u09c7 \u0995\u09c7\u09ae\u09a8 \u09b2\u09be\u0997\u09c7 \u0986\u09b0 \u0985\u09a4\u0983\u09aa\u09b0 \u0997\u09cd\u09b0\u09be\u09ab\u09c7 \u0995\u09c7\u09ae\u09a8 \u09b2\u09be\u0997\u09c7\u0964"
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print ser"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "Batistuta    10\n",
        "Cubillas     10\n",
        "Fontaine     13\n",
        "Klinsmann    11\n",
        "Klose        16\n",
        "Kocsis       11\n",
        "Lato         10\n",
        "Lineker      10\n",
        "Muller       14\n",
        "Pele         12\n",
        "Rahn         10\n",
        "Ronaldo      15\n",
        "TMuller      10\n",
        "dtype: int64\n"
       ]
      }
     ],
     "prompt_number": 29
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "print ser.value_counts()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "stream",
       "stream": "stdout",
       "text": [
        "10    6\n",
        "11    2\n",
        "15    1\n",
        "14    1\n",
        "13    1\n",
        "12    1\n",
        "16    1\n",
        "dtype: int64\n"
       ]
      }
     ],
     "prompt_number": 30
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "figure = plt.figure()\n",
      "\n",
      "ax_1 = figure.add_subplot(2, 1, 1)\n",
      "ax_2 = figure.add_subplot(2, 1, 2)\n",
      "\n",
      "ser.plot(ax=ax_1, linestyle=\"--\", marker=\"o\", color=\"black\")\n",
      "ser.value_counts().plot(ax=ax_2, kind=\"bar\", color=\"green\", alpha=0.7)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "output_type": "pyout",
       "prompt_number": 34,
       "text": [
        "<matplotlib.axes.AxesSubplot at 0xc7f06ac>"
       ]
      },
      {
       "output_type": "display_data",
       "png": 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P39h9+vSR17nbBADQrl07rFq1CoMHD0Z2drbYcTjzMs919CJpfErIWE1TAUit35bLNzxX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\naVN4e3urJ5Oq6Jer2H6a+xQ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      }
     ],
     "prompt_number": 34
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "\u09aa\u09be\u09a8\u09cd\u09a1\u09be\u09b8\u09c7\u09b0 \u09aa\u09cd\u09b0\u09a5\u09ae \u098f\u09ac\u0982 \u09b8\u09b9\u099c\u09a4\u09ae \u0989\u09aa\u09be\u09a4\u09cd\u09a4 \u0995\u09be\u09a0\u09be\u09ae\u09cb \u09b8\u09bf\u09b0\u09bf\u099c \u09a8\u09bf\u09df\u09c7 \u098f\u0987 \u099b\u09cb\u099f \u0986\u09b2\u09cb\u099a\u09a8\u09be \u09b8\u09ae\u09be\u09aa\u09cd\u09a4 \u0995\u09b0\u09c7 \u09aa\u09b0\u09ac\u09b0\u09cd\u09a4\u09c0 \u0995\u09be\u09a0\u09be\u09ae\u09cb \u09a1\u09be\u099f\u09be\u09ab\u09cd\u09b0\u09c7\u09ae \u09a8\u09bf\u09df\u09c7 \u0995\u09a5\u09be \u09ac\u09b2\u09ac \u098f\u09b0 \u09aa\u09b0\u09c7\u09b0 \u09aa\u09cb\u09b8\u09cd\u099f\u09c7\u0964 \u09b8\u09cd\u099f\u09c7 \u099f\u09c1\u09a8\u09cd\u09a1!!!"
     ]
    }
   ],
   "metadata": {}
  }
 ]
}