{"id":7026,"date":"2022-09-06T12:11:19","date_gmt":"2022-09-06T06:41:19","guid":{"rendered":"https:\/\/jassweb.com\/solved\/solved-what-is-the-difference-between-any-and-any1\/"},"modified":"2022-09-06T12:11:19","modified_gmt":"2022-09-06T06:41:19","slug":"solved-what-is-the-difference-between-any-and-any1","status":"publish","type":"post","link":"https:\/\/jassweb.com\/solved\/solved-what-is-the-difference-between-any-and-any1\/","title":{"rendered":"[Solved] What is the difference between .any() and .any(1)?"},"content":{"rendered":"

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.any(1)<\/code> is the same as .any(axis=1)<\/code>, which means look row-wise instead of per column.<\/p>\n

With this sample dataframe:<\/p>\n

   x1  x2  x3\n0   1   1   0\n1   0   0   0\n2   1   0   0\n<\/code><\/pre>\n
See the different outcomes:<\/p>\n
import pandas as pd\n\ndf = pd.read_csv('bool.csv')\n\nprint(df.any())\n\n>>>\nx1     True\nx2     True\nx3    False\ndtype: bool\n<\/code><\/pre>\n
So .any()<\/code> checks if any value in a column is True<\/p>\n
print(df.any(1))\n\n>>>\n0     True\n1    False\n2     True\ndtype: bool\n<\/code><\/pre>\n
So .any(1)<\/code> checks if any value in a row is True<\/p>\n<\/p><\/div>\n
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            <\/span> <\/p><\/div>\n<\/div>\n
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solved What is the difference between .any() and .any(1)? <\/p>\n","protected":false},"excerpt":{"rendered":"
[ad_1] .any(1) is the same as .any(axis=1), which means look row-wise instead of per column. With this sample dataframe: x1 x2 x3 0 1 1 0 1 0 0 0 2 1 0 0 See the different outcomes: import pandas as pd df = pd.read_csv(‘bool.csv’) print(df.any()) >>> x1 True x2 True x3 False dtype: bool … Read more<\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[320],"tags":[415,349,482],"class_list":["post-7026","post","type-post","status-publish","format-standard","hentry","category-solved","tag-pandas","tag-python","tag-python-3-x"],"yoast_head":"\n[Solved] What is the difference between .any() and .any(1)? - JassWeb<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/jassweb.com\/solved\/solved-what-is-the-difference-between-any-and-any1\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"[Solved] What is the difference between .any() and .any(1)? - JassWeb\" \/>\n<meta property=\"og:description\" content=\"[ad_1] .any(1) is the same as .any(axis=1), which means look row-wise instead of per column. With this sample dataframe: x1 x2 x3 0 1 1 0 1 0 0 0 2 1 0 0 See the different outcomes: import pandas as pd df = pd.read_csv('bool.csv') print(df.any()) >>> x1 True x2 True x3 False dtype: bool ... 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With this sample dataframe: x1 x2 x3 0 1 1 0 1 0 0 0 2 1 0 0 See the different outcomes: import pandas as pd df = pd.read_csv('bool.csv') print(df.any()) >>> x1 True x2 True x3 False dtype: bool ... 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