{"id":3540,"date":"2023-07-16T23:01:05","date_gmt":"2023-07-16T23:01:05","guid":{"rendered":"https:\/\/statorials.org\/hi\/%e0%a4%aa%e0%a4%be%e0%a4%82%e0%a4%a1%e0%a4%be-%e0%a4%aa%e0%a5%81%e0%a4%b0%e0%a4%b8%e0%a5%8d%e0%a4%95%e0%a4%be%e0%a4%b0\/"},"modified":"2023-07-16T23:01:05","modified_gmt":"2023-07-16T23:01:05","slug":"%e0%a4%aa%e0%a4%be%e0%a4%82%e0%a4%a1%e0%a4%be-%e0%a4%aa%e0%a5%81%e0%a4%b0%e0%a4%b8%e0%a5%8d%e0%a4%95%e0%a4%be%e0%a4%b0","status":"publish","type":"post","link":"https:\/\/statorials.org\/hi\/%e0%a4%aa%e0%a4%be%e0%a4%82%e0%a4%a1%e0%a4%be-%e0%a4%aa%e0%a5%81%e0%a4%b0%e0%a4%b8%e0%a5%8d%e0%a4%95%e0%a4%be%e0%a4%b0\/","title":{"rendered":"\u092a\u093e\u0902\u0921\u093e \u092e\u0947\u0902 \u0905\u0938\u093e\u0907\u0928() \u0935\u093f\u0927\u093f \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0948\u0938\u0947 \u0915\u0930\u0947\u0902 (\u0909\u0926\u093e\u0939\u0930\u0923 \u0915\u0947 \u0938\u093e\u0925)"},"content":{"rendered":"<p><\/p>\n<hr>\n<p><span style=\"color: #000000;\">\u092a\u093e\u0902\u0921\u093e \u0921\u0947\u091f\u093e\u092b\u093c\u094d\u0930\u0947\u092e \u092e\u0947\u0902 \u0928\u090f \u0915\u0949\u0932\u092e \u091c\u094b\u0921\u093c\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f <strong>\u0905\u0938\u093e\u0907\u0928()<\/strong> \u0935\u093f\u0927\u093f \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u093f\u092f\u093e \u091c\u093e \u0938\u0915\u0924\u093e \u0939\u0948\u0964<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u092f\u0939 \u0935\u093f\u0927\u093f \u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 \u092e\u0942\u0932 \u0935\u093e\u0915\u094d\u092f\u0935\u093f\u0928\u094d\u092f\u093e\u0938 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0924\u0940 \u0939\u0948:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong>df. <span style=\"color: #3366ff;\">assign<\/span> (new_column = values)\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u092f\u0939 \u0927\u094d\u092f\u093e\u0928 \u0930\u0916\u0928\u093e \u092e\u0939\u0924\u094d\u0935\u092a\u0942\u0930\u094d\u0923 \u0939\u0948 \u0915\u093f \u092f\u0939 \u0935\u093f\u0927\u093f \u0915\u0947\u0935\u0932 \u0915\u0902\u0938\u094b\u0932 \u092a\u0930 \u0928\u092f\u093e \u0921\u0947\u091f\u093e\u092b\u093c\u094d\u0930\u0947\u092e \u092a\u094d\u0930\u0926\u0930\u094d\u0936\u093f\u0924 \u0915\u0930\u0947\u0917\u0940, \u0932\u0947\u0915\u093f\u0928 \u0935\u093e\u0938\u094d\u0924\u0935 \u092e\u0947\u0902 \u092e\u0942\u0932 \u0921\u0947\u091f\u093e\u092b\u093c\u094d\u0930\u0947\u092e \u0915\u094b \u0938\u0902\u0936\u094b\u0927\u093f\u0924 \u0928\u0939\u0940\u0902 \u0915\u0930\u0947\u0917\u0940\u0964<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u092e\u0942\u0932 \u0921\u0947\u091f\u093e\u092b\u093c\u094d\u0930\u0947\u092e \u0915\u094b \u0938\u0902\u0936\u094b\u0927\u093f\u0924 \u0915\u0930\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f, \u0906\u092a\u0915\u094b <strong>\u0905\u0938\u093e\u0907\u0928()<\/strong> \u0935\u093f\u0927\u093f \u0915\u0947 \u092a\u0930\u093f\u0923\u093e\u092e\u094b\u0902 \u0915\u094b \u090f\u0915 \u0928\u090f \u0935\u0947\u0930\u093f\u090f\u092c\u0932 \u092e\u0947\u0902 \u0938\u0902\u0917\u094d\u0930\u0939\u0940\u0924 \u0915\u0930\u0928\u0947 \u0915\u0940 \u0906\u0935\u0936\u094d\u092f\u0915\u0924\u093e \u0939\u094b\u0917\u0940\u0964<\/span><\/p>\n<p> <span style=\"color: #000000;\">\u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 \u0909\u0926\u093e\u0939\u0930\u0923 \u0926\u093f\u0916\u093e\u0924\u0947 \u0939\u0948\u0902 \u0915\u093f \u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 \u092a\u093e\u0902\u0921\u093e \u0921\u0947\u091f\u093e\u092b\u093c\u094d\u0930\u0947\u092e \u0915\u0947 \u0938\u093e\u0925 \u0935\u093f\u092d\u093f\u0928\u094d\u0928 \u0924\u0930\u0940\u0915\u094b\u0902 \u0938\u0947 <strong>\u0905\u0938\u093e\u0907\u0928()<\/strong> \u0935\u093f\u0927\u093f \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0948\u0938\u0947 \u0915\u0930\u0947\u0902:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008000;\">import<\/span> pandas <span style=\"color: #008000;\">as<\/span> pd\n\n<span style=\"color: #008080;\">#define DataFrame\n<span style=\"color: #000000;\">df = pd. <span style=\"color: #3366ff;\">DataFrame<\/span> ({' <span style=\"color: #ff0000;\">points<\/span> ': [25, 12, 15, 14, 19, 23, 25, 29],\n                   ' <span style=\"color: #ff0000;\">assists<\/span> ': [5, 7, 7, 9, 12, 9, 9, 4],\n                   ' <span style=\"color: #ff0000;\">rebounds<\/span> ': [11, 8, 10, 6, 6, 5, 9, 12]})<\/span>\n\n#view DataFrame<\/span>\n<span style=\"color: #008000;\">print<\/span> (df)\n\n   points assists rebounds\n0 25 5 11\n1 12 7 8\n2 15 7 10\n3 14 9 6\n4 19 12 6\n5 23 9 5\n6 25 9 9\n7 29 4 12<\/strong><\/pre>\n<h2> <span style=\"color: #000000;\"><strong>\u0909\u0926\u093e\u0939\u0930\u0923 1: \u0921\u0947\u091f\u093e\u092b\u093c\u094d\u0930\u0947\u092e \u0915\u0947 \u0932\u093f\u090f \u090f\u0915 \u0928\u092f\u093e \u0935\u0947\u0930\u093f\u090f\u092c\u0932 \u0905\u0938\u093e\u0907\u0928 \u0915\u0930\u0947\u0902<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 \u0915\u094b\u0921 \u0926\u093f\u0916\u093e\u0924\u093e \u0939\u0948 \u0915\u093f \u0921\u0947\u091f\u093e\u092b\u093c\u094d\u0930\u0947\u092e \u092e\u0947\u0902 <strong>\u092a\u0949\u0907\u0902\u091f\u094d\u09382<\/strong> \u0928\u093e\u092e\u0915 \u090f\u0915 \u0928\u092f\u093e \u0935\u0947\u0930\u093f\u090f\u092c\u0932 \u091c\u094b\u0921\u093c\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f <strong>\u0905\u0938\u093e\u0907\u0928()<\/strong> \u0935\u093f\u0927\u093f \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0948\u0938\u0947 \u0915\u0930\u0947\u0902, \u091c\u093f\u0938\u0915\u093e \u092e\u093e\u0928 <strong>\u092a\u0949\u0907\u0902\u091f<\/strong> \u0915\u0949\u0932\u092e \u092e\u0947\u0902 \u0926\u094b \u0938\u0947 \u0917\u0941\u0923\u093e \u0915\u093f\u090f \u0917\u090f \u092e\u093e\u0928\u094b\u0902 \u0915\u0947 \u092c\u0930\u093e\u092c\u0930 \u0939\u0948:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#add new variable called points2\n<span style=\"color: #000000;\">df. <span style=\"color: #3366ff;\">assign<\/span> (points2 = <span style=\"color: #3366ff;\">df.points<\/span> * <span style=\"color: #008000;\">2<\/span> )<\/span>\n\n    <span style=\"color: #000000;\">points<\/span> <span style=\"color: #000000;\">assists rebounds<\/span> <span style=\"color: #000000;\">points2\n0 25<\/span> <span style=\"color: #000000;\">5<\/span> <span style=\"color: #000000;\">11 50\n1 12<\/span> <span style=\"color: #000000;\">7<\/span> <span style=\"color: #000000;\">8 24\n2 15<\/span> <span style=\"color: #000000;\">7<\/span> <span style=\"color: #000000;\">10 30\n3 14<\/span> <span style=\"color: #000000;\">9<\/span> <span style=\"color: #000000;\">6 28\n4 19<\/span> <span style=\"color: #000000;\">12<\/span> <span style=\"color: #000000;\">6<\/span> <span style=\"color: #000000;\">38\n5 23<\/span> <span style=\"color: #000000;\">9<\/span> <span style=\"color: #000000;\">5 46\n6 25<\/span> <span style=\"color: #000000;\">9<\/span> <span style=\"color: #000000;\">9 50\n7 29<\/span> <span style=\"color: #000000;\">4<\/span> <span style=\"color: #000000;\">12 58\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><span style=\"color: #000000;\">\u0927\u094d\u092f\u093e\u0928 \u0926\u0947\u0902 \u0915\u093f \u092f\u0939 <strong>\u0905\u0938\u093e\u0907\u0928()<\/strong> \u0935\u093f\u0927\u093f \u092e\u0942\u0932 \u0921\u0947\u091f\u093e\u092b\u093c\u094d\u0930\u0947\u092e \u0915\u094b \u0938\u0902\u0936\u094b\u0927\u093f\u0924 \u0928\u0939\u0940\u0902 \u0915\u0930\u0924\u0940 \u0939\u0948\u0964<\/span><\/span><\/p>\n<p> <span style=\"color: #000000;\">\u092f\u0926\u093f \u0939\u092e \u092e\u0942\u0932 \u0921\u0947\u091f\u093e\u092b\u093c\u094d\u0930\u0947\u092e \u092a\u094d\u0930\u093f\u0902\u091f \u0915\u0930\u0924\u0947 \u0939\u0948\u0902, \u0924\u094b \u0939\u092e \u0926\u0947\u0916\u0947\u0902\u0917\u0947 \u0915\u093f \u092f\u0939 \u0905\u092a\u0930\u093f\u0935\u0930\u094d\u0924\u093f\u0924 \u0930\u0939\u0924\u093e \u0939\u0948:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#print original DataFrame<\/span>\n<span style=\"color: #008000;\">print<\/span> (df)\n\n   points assists rebounds\n0 25 5 11\n1 12 7 8\n2 15 7 10\n3 14 9 6\n4 19 12 6\n5 23 9 5\n6 25 9 9\n7 29 4 12\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>\u0905\u0938\u093e\u0907\u0928()<\/strong> \u0935\u093f\u0927\u093f \u0915\u0947 \u092a\u0930\u093f\u0923\u093e\u092e\u094b\u0902 \u0915\u094b \u0938\u0939\u0947\u091c\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f, \u0939\u092e \u092a\u0930\u093f\u0923\u093e\u092e\u094b\u0902 \u0915\u094b \u090f\u0915 \u0928\u090f \u0921\u0947\u091f\u093e\u092b\u093c\u094d\u0930\u0947\u092e \u092e\u0947\u0902 \u0938\u0902\u0917\u094d\u0930\u0939\u0940\u0924 \u0915\u0930 \u0938\u0915\u0924\u0947 \u0939\u0948\u0902:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#add new variable called points2 and save results in new DataFrame\n<span style=\"color: #000000;\">df. <span style=\"color: #3366ff;\">assign<\/span> (points2 = <span style=\"color: #3366ff;\">df.points<\/span> * <span style=\"color: #008000;\">2<\/span> )\n\n<span style=\"color: #008080;\">#view new DataFrame<\/span>\n<span style=\"color: #008000;\">print<\/span> (df_new)\n\n   points assists rebounds points2\n0 25 5 11 50\n1 12 7 8 24\n2 15 7 10 30\n3 14 9 6 28\n4 19 12 6 38\n5 23 9 5 46\n6 25 9 9 50\n7 29 4 12 58\n<\/span><\/span><\/strong><\/pre>\n<p> <span style=\"color: #000000;\"><strong>df_new<\/strong> \u0928\u093e\u092e\u0915 \u0928\u090f \u0921\u0947\u091f\u093e\u092b\u093c\u094d\u0930\u0947\u092e \u092e\u0947\u0902 \u0905\u092c \u0939\u092e\u093e\u0930\u0947 \u0926\u094d\u0935\u093e\u0930\u093e \u092c\u0928\u093e\u090f \u0917\u090f <strong>\u092a\u0949\u0907\u0902\u091f2<\/strong> \u0915\u0949\u0932\u092e \u0936\u093e\u092e\u093f\u0932 \u0939\u0948\u0902\u0964<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u0909\u0926\u093e\u0939\u0930\u0923 2: \u0921\u0947\u091f\u093e\u092b\u093c\u094d\u0930\u0947\u092e \u092e\u0947\u0902 \u090f\u0915\u093e\u0927\u093f\u0915 \u0928\u090f \u0935\u0947\u0930\u093f\u090f\u092c\u0932 \u0905\u0938\u093e\u0907\u0928 \u0915\u0930\u0947\u0902<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 \u0915\u094b\u0921 \u0926\u093f\u0916\u093e\u0924\u093e \u0939\u0948 \u0915\u093f \u0921\u0947\u091f\u093e\u092b\u093c\u094d\u0930\u0947\u092e \u092e\u0947\u0902 \u0924\u0940\u0928 \u0928\u090f \u0935\u0947\u0930\u093f\u090f\u092c\u0932 \u091c\u094b\u0921\u093c\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f <strong>\u0905\u0938\u093e\u0907\u0928()<\/strong> \u0935\u093f\u0927\u093f \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0948\u0938\u0947 \u0915\u0930\u0947\u0902:<\/span><\/p>\n<pre style=\"background-color: #ececec; font-size: 15px;\"> <strong><span style=\"color: #008080;\">#add three new variables to DataFrame and store results in new DataFrame<\/span>\ndf_new = df. <span style=\"color: #3366ff;\">assign<\/span> (points2 = df. <span style=\"color: #3366ff;\">points<\/span> * <span style=\"color: #008000;\">2<\/span> ,\n                   assists_rebs = df. <span style=\"color: #3366ff;\">assists<\/span> + df. <span style=\"color: #3366ff;\">rebounds<\/span> ,\n                   conference = ' <span style=\"color: #ff0000;\">Western<\/span> ')\n\n<span style=\"color: #008080;\">#view new DataFrame\n<\/span><span style=\"color: #008000;\">print<\/span> (df_new)\n\n   points assists rebounds points2 assists_rebs conference\n0 25 5 11 50 16 Western\n1 12 7 8 24 15 Western\n2 15 7 10 30 17 Western\n3 14 9 6 28 15 Western\n4 19 12 6 38 18 Western\n5 23 9 5 46 14 Western\n6 25 9 9 50 18 Western\n7 29 4 12 58 16 Western\n<\/strong><\/pre>\n<p> <span style=\"color: #000000;\">\u0927\u094d\u092f\u093e\u0928 \u0926\u0947\u0902 \u0915\u093f \u0921\u0947\u091f\u093e\u092b\u093c\u094d\u0930\u0947\u092e \u092e\u0947\u0902 \u0924\u0940\u0928 \u0928\u090f \u0915\u0949\u0932\u092e \u091c\u094b\u0921\u093c\u0947 \u0917\u090f \u0939\u0948\u0902\u0964<\/span><\/p>\n<p> <span style=\"color: #000000;\"><strong>\u0928\u094b\u091f<\/strong> : \u0906\u092a \u092a\u093e\u0902\u0921\u093e <strong>\u0905\u0938\u093e\u0907\u0928()<\/strong> \u0935\u093f\u0927\u093f \u0915\u093e \u092a\u0942\u0930\u093e \u0926\u0938\u094d\u0924\u093e\u0935\u0947\u091c\u093c <a href=\"https:\/\/pandas.pydata.org\/docs\/reference\/api\/pandas.DataFrame.assign.html\" target=\"_blank\" rel=\"noopener\">\u092f\u0939\u093e\u0902<\/a> \u092a\u093e \u0938\u0915\u0924\u0947 \u0939\u0948\u0902\u0964<\/span><\/p>\n<h2> <span style=\"color: #000000;\"><strong>\u0905\u0924\u093f\u0930\u093f\u0915\u094d\u0924 \u0938\u0902\u0938\u093e\u0927\u0928<\/strong><\/span><\/h2>\n<p> <span style=\"color: #000000;\">\u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 \u091f\u094d\u092f\u0942\u091f\u094b\u0930\u093f\u092f\u0932 \u092c\u0924\u093e\u0924\u0947 \u0939\u0948\u0902 \u0915\u093f \u092a\u093e\u0902\u0921\u093e \u092e\u0947\u0902 \u0905\u0928\u094d\u092f \u0938\u093e\u092e\u093e\u0928\u094d\u092f \u0915\u093e\u0930\u094d\u092f\u094b\u0902 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0948\u0938\u0947 \u0915\u0930\u0947\u0902:<\/span><\/p>\n<p> <a href=\"https:\/\/statorials.org\/hi\/\u092a\u093e\u0902\u0921\u093e-\u0935\u0930\u094d\u0923\u0928-\u0915\u0930\u0924\u0947-\u0939\u0948\u0902\/\" target=\"_blank\" rel=\"noopener\">\u092a\u0902\u0921\u094b\u0902 \u092e\u0947\u0902 \u0935\u0930\u094d\u0923\u0928() \u092b\u093c\u0902\u0915\u094d\u0936\u0928 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0948\u0938\u0947 \u0915\u0930\u0947\u0902<\/a><br \/> <a href=\"https:\/\/statorials.org\/hi\/\u092a\u093e\u0902\u0921\u093e-idxmax\/\" target=\"_blank\" rel=\"noopener\">\u092a\u0902\u0921\u094b\u0902 \u092e\u0947\u0902 idxmax() \u092b\u093c\u0902\u0915\u094d\u0936\u0928 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0948\u0938\u0947 \u0915\u0930\u0947\u0902<\/a><br \/> <a href=\"https:\/\/statorials.org\" target=\"_blank\" rel=\"noopener\">\u092a\u0902\u0921\u094b\u0902 \u092e\u0947\u0902 \u091a\u092f\u0928\u093f\u0924 \u0915\u0949\u0932\u092e\u094b\u0902 \u092a\u0930 \u092b\u093c\u0902\u0915\u094d\u0936\u0928 \u0915\u0948\u0938\u0947 \u0932\u093e\u0917\u0942 \u0915\u0930\u0947\u0902<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u092a\u093e\u0902\u0921\u093e \u0921\u0947\u091f\u093e\u092b\u093c\u094d\u0930\u0947\u092e \u092e\u0947\u0902 \u0928\u090f \u0915\u0949\u0932\u092e \u091c\u094b\u0921\u093c\u0928\u0947 \u0915\u0947 \u0932\u093f\u090f \u0905\u0938\u093e\u0907\u0928() \u0935\u093f\u0927\u093f \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u093f\u092f\u093e \u091c\u093e \u0938\u0915\u0924\u093e \u0939\u0948\u0964 \u092f\u0939 \u0935\u093f\u0927\u093f \u0928\u093f\u092e\u094d\u0928\u0932\u093f\u0916\u093f\u0924 \u092e\u0942\u0932 \u0935\u093e\u0915\u094d\u092f\u0935\u093f\u0928\u094d\u092f\u093e\u0938 \u0915\u093e \u0909\u092a\u092f\u094b\u0917 \u0915\u0930\u0924\u0940 \u0939\u0948: df. assign (new_column = values) \u092f\u0939 \u0927\u094d\u092f\u093e\u0928 \u0930\u0916\u0928\u093e \u092e\u0939\u0924\u094d\u0935\u092a\u0942\u0930\u094d\u0923 \u0939\u0948 \u0915\u093f \u092f\u0939 \u0935\u093f\u0927\u093f \u0915\u0947\u0935\u0932 \u0915\u0902\u0938\u094b\u0932 \u092a\u0930 \u0928\u092f\u093e \u0921\u0947\u091f\u093e\u092b\u093c\u094d\u0930\u0947\u092e \u092a\u094d\u0930\u0926\u0930\u094d\u0936\u093f\u0924 \u0915\u0930\u0947\u0917\u0940, \u0932\u0947\u0915\u093f\u0928 \u0935\u093e\u0938\u094d\u0924\u0935 \u092e\u0947\u0902 \u092e\u0942\u0932 \u0921\u0947\u091f\u093e\u092b\u093c\u094d\u0930\u0947\u092e \u0915\u094b \u0938\u0902\u0936\u094b\u0927\u093f\u0924 \u0928\u0939\u0940\u0902 \u0915\u0930\u0947\u0917\u0940\u0964 \u092e\u0942\u0932 [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-3540","post","type-post","status-publish","format-standard","hentry","category-3"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - 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