{"id":27427,"date":"2024-03-16T08:27:24","date_gmt":"2024-03-16T08:27:24","guid":{"rendered":"https:\/\/www.silicloud.com\/blog\/how-can-we-edit-specific-cell-data-in-pandas\/"},"modified":"2024-03-22T11:00:44","modified_gmt":"2024-03-22T11:00:44","slug":"how-can-we-edit-specific-cell-data-in-pandas","status":"publish","type":"post","link":"https:\/\/www.silicloud.com\/blog\/how-can-we-edit-specific-cell-data-in-pandas\/","title":{"rendered":"How can we edit specific cell data in pandas?"},"content":{"rendered":"

To modify a specific cell data in a Pandas DataFrame, you can use the .at or .iat or .loc or .iloc attribute. Here are examples of using these attributes:<\/p>\n

    \n
  1. With the use of the .at attribute, you can locate a cell using row and column labels and then set a new value. For example:<\/li>\n<\/ol>\n
    import<\/span> pandas as<\/span> pd\r\n\r\n# \u521b\u5efaDataFrame<\/span>\r\ndf = pd.DataFrame({'A'<\/span>: [1<\/span>, 2<\/span>, 3<\/span>], 'B'<\/span>: [4<\/span>, 5<\/span>, 6<\/span>], 'C'<\/span>: [7<\/span>, 8<\/span>, 9<\/span>]})\r\n\r\n# \u4f7f\u7528 .at \u8bbe\u7f6e\u6307\u5b9a\u5355\u5143\u683c\u7684\u503c<\/span>\r\ndf.at[0<\/span>, 'A'<\/span>] = 10<\/span>\r\n\r\nprint<\/span>(df)\r\n<\/code><\/pre>\n
    Output result:<\/p>\n
        A  B  C\r\n0  10  4  7\r\n1   2  5  8\r\n2   3  6  9\r\n<\/code><\/pre>\n
      \n
    1. By using the .loc attribute, you can locate a specific cell by row index and column label, and then set a new value. For example:<\/li>\n<\/ol>\n
      import<\/span> pandas as<\/span> pd\r\n\r\n# \u521b\u5efaDataFrame<\/span>\r\ndf = pd.DataFrame({'A'<\/span>: [1<\/span>, 2<\/span>, 3<\/span>], 'B'<\/span>: [4<\/span>, 5<\/span>, 6<\/span>], 'C'<\/span>: [7<\/span>, 8<\/span>, 9<\/span>]})\r\n\r\n# \u4f7f\u7528 .loc \u8bbe\u7f6e\u6307\u5b9a\u5355\u5143\u683c\u7684\u503c<\/span>\r\ndf.loc[0<\/span>, 'A'<\/span>] = 10<\/span>\r\n\r\nprint<\/span>(df)\r\n<\/code><\/pre>\n
      The output result is the same as the example above.<\/p>\n
        \n
      1. With the .iat attribute, you can use row and column indices to locate a cell and assign a new value. For example:<\/li>\n<\/ol>\n
        import<\/span> pandas as<\/span> pd\r\n\r\n# \u521b\u5efaDataFrame<\/span>\r\ndf = pd.DataFrame({'A'<\/span>: [1<\/span>, 2<\/span>, 3<\/span>], 'B'<\/span>: [4<\/span>, 5<\/span>, 6<\/span>], 'C'<\/span>: [7<\/span>, 8<\/span>, 9<\/span>]})\r\n\r\n# \u4f7f\u7528 .iat \u8bbe\u7f6e\u6307\u5b9a\u5355\u5143\u683c\u7684\u503c<\/span>\r\ndf.iat[0<\/span>, 0<\/span>] = 10<\/span>\r\n\r\nprint<\/span>(df)\r\n<\/code><\/pre>\n
        The output is the same as the example above.<\/p>\n
          \n
        1. You can use the .iloc attribute to locate a cell by integer position of row and column indices, and update its value. For example:<\/li>\n<\/ol>\n
          import<\/span> pandas as<\/span> pd\r\n\r\n# \u521b\u5efaDataFrame<\/span>\r\ndf = pd.DataFrame({'A'<\/span>: [1<\/span>, 2<\/span>, 3<\/span>], 'B'<\/span>: [4<\/span>, 5<\/span>, 6<\/span>], 'C'<\/span>: [7<\/span>, 8<\/span>, 9<\/span>]})\r\n\r\n# \u4f7f\u7528 .iloc \u8bbe\u7f6e\u6307\u5b9a\u5355\u5143\u683c\u7684\u503c<\/span>\r\ndf.iloc[0<\/span>, 0<\/span>] = 10<\/span>\r\n\r\nprint<\/span>(df)\r\n<\/code><\/pre>\n
          The output result is the same as the example mentioned above.<\/p>\n
          You can modify the data of specified cells as needed using any method.<\/p>\n","protected":false},"excerpt":{"rendered":"
          To modify a specific cell data in a Pandas DataFrame, you can use the .at or .iat or .loc or .iloc attribute. Here are examples of using these attributes: With the use of the .at attribute, you can locate a cell using row and column labels and then set a new value. For example: import […]<\/p>\n","protected":false},"author":5,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_import_markdown_pro_load_document_selector":0,"_import_markdown_pro_submit_text_textarea":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-27427","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"yoast_head":"\nHow can we edit specific cell data in pandas? - Blog - Silicon Cloud<\/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:\/\/www.silicloud.com\/blog\/how-can-we-edit-specific-cell-data-in-pandas\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How can we edit specific cell data in pandas?\" \/>\n<meta property=\"og:description\" content=\"To modify a specific cell data in a Pandas DataFrame, you can use the .at or .iat or .loc or .iloc attribute. 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