{"id":15972,"date":"2022-10-13T18:35:26","date_gmt":"2022-10-13T13:05:26","guid":{"rendered":"https:\/\/jassweb.com\/solved\/solved-compare-two-dataframes-and-update-the-dataframe-if-the-data-is-different-closed\/"},"modified":"2022-10-13T18:35:26","modified_gmt":"2022-10-13T13:05:26","slug":"solved-compare-two-dataframes-and-update-the-dataframe-if-the-data-is-different-closed","status":"publish","type":"post","link":"https:\/\/jassweb.com\/solved\/solved-compare-two-dataframes-and-update-the-dataframe-if-the-data-is-different-closed\/","title":{"rendered":"[Solved] Compare two dataframes and update the dataframe if the data is different [closed]"},"content":{"rendered":"

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If I understand the logic correctly . . .<\/p>\n

# imports\nimport pandas as pd\nfrom io import StringIO\n\n# sample data\ns1 = \"\"\"id Name score\n111 Jack 2.17\n112 Nick 1.11\n113 Zoe 4.12\"\"\"\n\ns2 = \"\"\"id Name score\n111 Jack 2.17\n112 Sick 1.10\n113 Zoe 4.12\n114 Jay 12.3\"\"\"\n\ndf1 = pd.read_csv(StringIO(s1), sep=' ')\ndf2 = pd.read_csv(StringIO(s2), sep=' ')\n\n# use boolean indexing with isin\n# new id in df2 that is not in df1\ndf3 = df2[~df2['id'].isin(df1['id'])]\n# where id is the same but name or score is different\n# also does not include the data where id is in the newly created df3\ndf4 = df2[~(df2[['Name', 'score']].isin(df1[['Name', 'score']]).any(1) | df2['id'].isin(df3['id']))]\n<\/code><\/pre>\n
df3<\/p>\n
    id Name  score\n3  114  Jay   12.3\n<\/code><\/pre>\n
df4<\/p>\n
    id  Name  score\n1  112  Sick    1.1\n<\/code><\/pre>\n<\/p><\/div>\n
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            <\/span> <\/p><\/div>\n<\/div>\n
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solved Compare two dataframes and update the dataframe if the data is different [closed] <\/p>\n","protected":false},"excerpt":{"rendered":"
[ad_1] If I understand the logic correctly . . . # imports import pandas as pd from io import StringIO # sample data s1 = “””id Name score 111 Jack 2.17 112 Nick 1.11 113 Zoe 4.12″”” s2 = “””id Name score 111 Jack 2.17 112 Sick 1.10 113 Zoe 4.12 114 Jay 12.3″”” df1 … 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":[461,415,349],"class_list":["post-15972","post","type-post","status-publish","format-standard","hentry","category-solved","tag-dataframe","tag-pandas","tag-python"],"yoast_head":"\n[Solved] Compare two dataframes and update the dataframe if the data is different [closed] - 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-compare-two-dataframes-and-update-the-dataframe-if-the-data-is-different-closed\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"[Solved] Compare two dataframes and update the dataframe if the data is different [closed] - JassWeb\" \/>\n<meta property=\"og:description\" content=\"[ad_1] If I understand the logic correctly . . . # imports import pandas as pd from io import StringIO # sample data s1 = """id Name score 111 Jack 2.17 112 Nick 1.11 113 Zoe 4.12""" s2 = """id Name score 111 Jack 2.17 112 Sick 1.10 113 Zoe 4.12 114 Jay 12.3""" df1 ... 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