{"id":3696,"date":"2023-07-16T02:09:21","date_gmt":"2023-07-16T02:09:21","guid":{"rendered":"https:\/\/statorials.org\/my\/pandas-drop-%e1%80%80%e1%80%b1%e1%80%ac%e1%80%ba%e1%80%9c%e1%80%b6%e1%80%9b%e1%80%be%e1%80%ad%e1%80%9c%e1%80%bb%e1%80%be%e1%80%84%e1%80%ba\/"},"modified":"2023-07-16T02:09:21","modified_gmt":"2023-07-16T02:09:21","slug":"pandas-drop-%e1%80%80%e1%80%b1%e1%80%ac%e1%80%ba%e1%80%9c%e1%80%b6%e1%80%9b%e1%80%be%e1%80%ad%e1%80%9c%e1%80%bb%e1%80%be%e1%80%84%e1%80%ba","status":"publish","type":"post","link":"https:\/\/statorials.org\/my\/pandas-drop-%e1%80%80%e1%80%b1%e1%80%ac%e1%80%ba%e1%80%9c%e1%80%b6%e1%80%9b%e1%80%be%e1%80%ad%e1%80%9c%e1%80%bb%e1%80%be%e1%80%84%e1%80%ba\/","title":{"rendered":"Pandas- \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u101b\u103e\u102d\u101c\u103b\u103e\u1004\u103a \u1016\u103b\u1000\u103a\u1014\u100a\u103a\u1038"},"content":{"rendered":"

<\/p>\n

\n

\u104e\u1004\u103a\u1038\u1010\u102d\u102f\u1037\u101b\u103e\u102d\u1014\u1031\u1015\u102b\u1000 \u1015\u1014\u103a\u1012\u102b DataFrame \u101b\u103e\u102d \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a \u1010\u1005\u103a\u1001\u102f\u1011\u1000\u103a\u1015\u102d\u102f\u101e\u1031\u102c\u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1016\u103b\u1000\u103a\u101b\u1014\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1021\u1001\u103c\u1031\u1001\u1036 syntax \u1000\u102d\u102f \u101e\u1004\u103a\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n

 df = df. drop<\/span> ([' column1<\/span> ', ' column2<\/span> '], axis= 1<\/span> , errors=' ignore<\/span> ')<\/span>\n<\/strong><\/pre>\n
 \u1019\u103e\u1010\u103a\u1001\u103b\u1000\u103a-<\/strong> \u1021\u1000\u101a\u103a\u104d \u101e\u1004\u103a\u101e\u100a\u103a error=’ignore’<\/strong> argument \u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1019\u1015\u103c\u102f\u1015\u102b\u1000\u104a \u1019\u101b\u103e\u102d\u101e\u1031\u102c \u1000\u1031\u102c\u103a\u101c\u1036\u1000\u102d\u102f \u1016\u103b\u1000\u103a\u101b\u1014\u103a \u1000\u103c\u102d\u102f\u1038\u1015\u1019\u103a\u1038\u1015\u102b\u1000 \u1021\u1019\u103e\u102c\u1038\u1010\u1005\u103a\u1001\u102f \u101b\u101b\u103e\u102d\u1015\u102b\u1019\u100a\u103a\u104b<\/span><\/p>\n
 \u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u1025\u1015\u1019\u102c\u101e\u100a\u103a \u1024 syntax \u1000\u102d\u102f \u101c\u1000\u103a\u1010\u103d\u1031\u1037\u1010\u103d\u1004\u103a \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u1015\u103c\u101e\u1011\u102c\u1038\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u1025\u1015\u1019\u102c- Pandas \u1010\u103d\u1004\u103a \u101b\u103e\u102d\u1014\u1031\u1015\u102b\u1000 \u1000\u1031\u102c\u103a\u101c\u1036\u1000\u102d\u102f \u1016\u103b\u1000\u103a\u1015\u102b\u104b<\/strong><\/span><\/h2>\n
 \u1021\u1019\u103b\u102d\u102f\u1038\u1019\u103b\u102d\u102f\u1038\u101e\u1031\u102c \u1018\u1010\u103a\u1005\u1000\u1010\u103a\u1018\u1031\u102c\u1000\u1005\u102c\u1038\u101e\u1019\u102c\u1038\u1019\u103b\u102c\u1038\u1021\u1000\u103c\u1031\u102c\u1004\u103a\u1038 \u1021\u1001\u103b\u1000\u103a\u1021\u101c\u1000\u103a\u1015\u102b\u101b\u103e\u102d\u101e\u1031\u102c \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1015\u1014\u103a\u1012\u102b DataFrame \u101b\u103e\u102d\u101e\u100a\u103a\u1006\u102d\u102f\u1015\u102b\u1005\u102d\u102f\u1037\u104b<\/span><\/p>\n
 import<\/span> pandas as<\/span> pd\n\n#createDataFrame\n<\/span>df = pd. DataFrame<\/span> ({' team<\/span> ': ['A', 'B', 'C', 'D', 'E', 'F'],\n                   ' points<\/span> ': [18, 22, 19, 14, 14, 11],\n                   ' assists<\/span> ': [5, 7, 7, 9, 12, 9],\n                   ' minutes<\/span> ': [10.1, 12.0, 9.0, 8.0, 8.4, 7.5],\n                   ' all_star<\/span> ': [True, False, False, True, True, True]})\n\n#view DataFrame\n<\/span>print<\/span> (df)\n\n  team points assists minutes all_star\n0 A 18 5 10.1 True\n1 B 22 7 12.0 False\n2 C 19 7 9.0 False\n3 D 14 9 8.0 True\n4 E 14 12 8.4 True\n5 F 11 9 7.5 True\n<\/strong><\/span><\/pre>\n
 \u101a\u1001\u102f \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a minutes_played<\/strong> \u1014\u103e\u1004\u1037\u103a \u1021\u1019\u103e\u1010\u103a\u1019\u103b\u102c\u1038<\/strong> \u101f\u102f \u1021\u1019\u100a\u103a\u1015\u1031\u1038\u1011\u102c\u1038\u101e\u100a\u1037\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1016\u103b\u1000\u103a\u101b\u1014\u103a \u1000\u103c\u102d\u102f\u1038\u1005\u102c\u1038\u101e\u100a\u103a\u1006\u102d\u102f\u1015\u102b\u1005\u102d\u102f\u1037\u104b<\/span><\/p>\n
 #drop minutes_played and points columns\n<\/span>df = df. drop<\/span> ([' minutes_played<\/span> ', ' points<\/span> '], axis= 1<\/span> )\n\nKeyError: \"['minutes_played', 'points'] not found in axis\"\n<\/b><\/pre>\n
 \u1019\u102d\u1014\u1005\u103a_\u1016\u103d\u1004\u1037\u103a\u1011\u102c\u1038\u101e\u1031\u102c<\/strong> \u1000\u1031\u102c\u103a\u101c\u1036\u101e\u100a\u103a DataFrame \u1010\u103d\u1004\u103a \u1000\u1031\u102c\u103a\u101c\u1036\u1021\u1019\u100a\u103a\u1010\u1005\u103a\u1001\u102f\u1021\u1016\u103c\u1005\u103a \u1019\u1010\u100a\u103a\u101b\u103e\u102d\u101e\u1031\u102c\u1000\u103c\u1031\u102c\u1004\u1037\u103a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u1010\u103d\u1004\u103a \u1021\u1019\u103e\u102c\u1038\u1021\u101a\u103d\u1004\u103a\u1038\u1010\u1005\u103a\u1001\u102f\u101b\u101b\u103e\u102d\u1011\u102c\u1038\u1015\u102b\u101e\u100a\u103a\u104b<\/span><\/p>\n
 \u101a\u1004\u103a\u1038\u1021\u1005\u102c\u1038\u104a \u1000\u103b\u103d\u1014\u103a\u102f\u1015\u103a\u1010\u102d\u102f\u1037\u101e\u100a\u103a errors=’ignore’<\/strong> argument \u1016\u103c\u1004\u1037\u103a drop()<\/strong> function \u1000\u102d\u102f\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101b\u1014\u103a\u101c\u102d\u102f\u1021\u1015\u103a\u101e\u100a\u103a-<\/span><\/p>\n
 #drop minutes_played and points columns\n<\/span>df = df. drop<\/span> ([' minutes_played<\/span> ', ' points<\/span> '], axis= 1<\/span> , errors=' ignore<\/span> ')\n\n#view updated DataFrame<\/span>\nprint<\/span> (df)\n\n  team assists minutes all_star\n0 A 5 10.1 True\n1 B 7 12.0 False\n2 C 7 9.0 False\n3 D 9 8.0 True\n4 E 12 8.4 True\n5 F 9 7.5 True\n<\/b><\/pre>\n
 \u1021\u1019\u103e\u1010\u103a\u1019\u103b\u102c\u1038<\/strong> \u1000\u1031\u102c\u103a\u101c\u1036\u1000\u102d\u102f DataFrame \u1019\u103e \u1016\u101a\u103a\u101b\u103e\u102c\u1038\u101c\u102d\u102f\u1000\u103a\u1000\u103c\u1031\u102c\u1004\u103a\u1038 \u101e\u1010\u102d\u1015\u103c\u102f\u1015\u102b\u104b<\/span><\/p>\n
 \u1019\u102d\u1014\u1005\u103a_played<\/strong> \u101f\u102f\u1001\u1031\u102b\u103a\u101e\u1031\u102c \u1000\u1031\u102c\u103a\u101c\u1036\u1000\u102d\u102f \u1016\u103b\u1000\u103a\u101b\u1014\u103a \u1000\u103c\u102d\u102f\u1038\u1005\u102c\u1038\u101e\u1031\u102c\u103a\u101c\u100a\u103a\u1038 \u1019\u100a\u103a\u101e\u100a\u1037\u103a\u1021\u1019\u103e\u102c\u1038\u1021\u101a\u103d\u1004\u103a\u1038\u1019\u103e \u101c\u1000\u103a\u1001\u1036\u101b\u101b\u103e\u102d\u1001\u103c\u1004\u103a\u1038\u1019\u101b\u103e\u102d\u1000\u103c\u1031\u102c\u1004\u103a\u1038\u1000\u102d\u102f\u101c\u100a\u103a\u1038 \u101e\u1010\u102d\u1015\u103c\u102f\u1015\u102b\u104b<\/span><\/p>\n
 \u1011\u1015\u103a\u101c\u1031\u102c\u1004\u103a\u1038\u1021\u101b\u1004\u103a\u1038\u1021\u1019\u103c\u1005\u103a\u1019\u103b\u102c\u1038<\/strong><\/span><\/h2>\n
 \u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1019\u103b\u102c\u1038\u101e\u100a\u103a \u1015\u1014\u103a\u1012\u102b\u1019\u103b\u102c\u1038\u1010\u103d\u1004\u103a \u1021\u1001\u103c\u102c\u1038\u1018\u102f\u1036\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u1001\u103b\u1000\u103a\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u101c\u102f\u1015\u103a\u1006\u1031\u102c\u1004\u103a\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u101e\u100a\u103a-<\/span><\/p>\n
 Pandas- \u1021\u1019\u100a\u103a\u1019\u1016\u1031\u102c\u103a\u1015\u103c\u101e\u1031\u102c\u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1016\u101a\u103a\u101b\u103e\u102c\u1038\u1014\u100a\u103a\u1038<\/a>
 Pandas- \u101e\u102e\u1038\u1001\u103c\u102c\u1038\u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1019\u103e\u101c\u103d\u1032\u104d \u1000\u1031\u102c\u103a\u101c\u1036\u1021\u102c\u1038\u101c\u102f\u1036\u1038\u1000\u102d\u102f \u1016\u101a\u103a\u101b\u103e\u102c\u1038\u1014\u100a\u103a\u1038<\/a>
 Pandas- \u1021\u1001\u103b\u102d\u102f\u1037\u1000\u101c\u103d\u1032\u101b\u1004\u103a \u1021\u1010\u1014\u103a\u1038\u1021\u102c\u1038\u101c\u102f\u1036\u1038\u1000\u102d\u102f \u1016\u103b\u1000\u103a\u1014\u100a\u103a\u1038<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"
\u104e\u1004\u103a\u1038\u1010\u102d\u102f\u1037\u101b\u103e\u102d\u1014\u1031\u1015\u102b\u1000 \u1015\u1014\u103a\u1012\u102b DataFrame \u101b\u103e\u102d \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a \u1010\u1005\u103a\u1001\u102f\u1011\u1000\u103a\u1015\u102d\u102f\u101e\u1031\u102c\u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1016\u103b\u1000\u103a\u101b\u1014\u103a \u1021\u1031\u102c\u1000\u103a\u1015\u102b\u1021\u1001\u103c\u1031\u1001\u1036 syntax \u1000\u102d\u102f \u101e\u1004\u103a\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u1014\u102d\u102f\u1004\u103a\u1015\u102b\u101e\u100a\u103a\u104b df = df. drop ([‘ column1 ‘, ‘ column2 ‘], axis= 1 , errors=’ ignore ‘) \u1019\u103e\u1010\u103a\u1001\u103b\u1000\u103a- \u1021\u1000\u101a\u103a\u104d \u101e\u1004\u103a\u101e\u100a\u103a error=’ignore’ argument \u1000\u102d\u102f \u1021\u101e\u102f\u1036\u1038\u1019\u1015\u103c\u102f\u1015\u102b\u1000\u104a \u1019\u101b\u103e\u102d\u101e\u1031\u102c \u1000\u1031\u102c\u103a\u101c\u1036\u1000\u102d\u102f \u1016\u103b\u1000\u103a\u101b\u1014\u103a \u1000\u103c\u102d\u102f\u1038\u1015\u1019\u103a\u1038\u1015\u102b\u1000 \u1021\u1019\u103e\u102c\u1038\u1010\u1005\u103a\u1001\u102f \u101b\u101b\u103e\u102d\u1015\u102b\u1019\u100a\u103a\u104b \u1021\u1031\u102c\u1000\u103a\u1016\u1031\u102c\u103a\u1015\u103c\u1015\u102b \u1025\u1015\u1019\u102c\u101e\u100a\u103a \u1024 syntax \u1000\u102d\u102f \u101c\u1000\u103a\u1010\u103d\u1031\u1037\u1010\u103d\u1004\u103a \u1019\u100a\u103a\u101e\u102d\u102f\u1037\u1021\u101e\u102f\u1036\u1038\u1015\u103c\u102f\u101b\u1019\u100a\u103a\u1000\u102d\u102f \u1015\u103c\u101e\u1011\u102c\u1038\u101e\u100a\u103a\u104b \u1025\u1015\u1019\u102c- Pandas \u1010\u103d\u1004\u103a \u101b\u103e\u102d\u1014\u1031\u1015\u102b\u1000 \u1000\u1031\u102c\u103a\u101c\u1036\u1000\u102d\u102f \u1016\u103b\u1000\u103a\u1015\u102b\u104b […]<\/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":[],"yoast_head":"\nPandas- \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u101b\u103e\u102d\u101c\u103b\u103e\u1004\u103a \u1016\u103b\u1000\u103a\u1014\u100a\u103a\u1038- Statorials<\/title>\n<meta name=\"description\" content=\"\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1021\u1015\u102b\u1021\u101d\u1004\u103a \u1015\u1014\u103a\u1012\u102b DataFrame \u1019\u103e \u1010\u1005\u103a\u1001\u102f \u101e\u102d\u102f\u1037\u1019\u101f\u102f\u1010\u103a \u1010\u1005\u103a\u1001\u102f\u1011\u1000\u103a\u1015\u102d\u102f\u101e\u1031\u102c\u1000\u1031\u102c\u103a\u101c\u1036\u1019\u103b\u102c\u1038\u1000\u102d\u102f \u1016\u101a\u103a\u101b\u103e\u102c\u1038\u1014\u100a\u103a\u1038\u1000\u102d\u102f \u1024\u101e\u1004\u103a\u1001\u1014\u103a\u1038\u1005\u102c\u1010\u103d\u1004\u103a \u101b\u103e\u1004\u103a\u1038\u1015\u103c\u1011\u102c\u1038\u101e\u100a\u103a\u104b\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/statorials.org\/my\/pandas-drop-\u1000\u1031\u102c\u103a\u101c\u1036\u101b\u103e\u102d\u101c\u103b\u103e\u1004\u103a\/\" \/>\n<meta property=\"og:locale\" content=\"my_MM\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Pandas- \u1000\u1031\u102c\u103a\u101c\u1036\u1010\u1005\u103a\u1001\u102f\u101b\u103e\u102d\u101c\u103b\u103e\u1004\u103a \u1016\u103b\u1000\u103a\u1014\u100a\u103a\u1038- Statorials\" \/>\n<meta property=\"og:description\" content=\"\u1025\u1015\u1019\u102c\u1019\u103b\u102c\u1038\u1021\u1015\u102b\u1021\u101d\u1004\u103a \u1015\u1014\u103a\u1012\u102b DataFrame \u1019\u103e 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