{"id":226010,"date":"2020-12-15T16:02:12","date_gmt":"2020-12-15T08:02:12","guid":{"rendered":"http:\/\/4563.org\/?p=226010"},"modified":"2020-12-15T16:02:12","modified_gmt":"2020-12-15T08:02:12","slug":"pandas-%e6%93%8d%e4%bd%9c%e6%b1%82%e5%8a%a9%ef%bc%8c%e6%95%b0%e6%8d%ae%e5%a6%82%e4%b8%8b","status":"publish","type":"post","link":"http:\/\/4563.org\/?p=226010","title":{"rendered":"pandas \u64cd\u4f5c\u6c42\u52a9\uff0c\u6570\u636e\u5982\u4e0b"},"content":{"rendered":"
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pandas \u64cd\u4f5c\u6c42\u52a9\uff0c\u6570\u636e\u5982\u4e0b <\/h1>\n

<\/p>\n

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\u8cc7\u6df1\u5927\u4f6c : Scorpiocat <\/span> <\/i> 5<\/span> <\/div>\n
<\/div>\n<\/p><\/div>\n<\/p><\/div>\n<\/p><\/div>\n
import numpy as np
import pandas as pd<\/p>\n

df = pd.DataFrame({‘\u6708’:[‘1′,’2′,’3′,’5′,’7’],
‘\u533b\u9662’:[‘\u4eba\u6c11’,’\u4e8c\u9662’,’\u4eba\u6c11’,’\u4e8c\u9662’,’\u4eba\u6c11’],
‘\u9500\u91cf’:np.arange(1,10,2) })
print(df)<\/p>\n

df1 = df.groupby([‘\u533b\u9662’,’\u6708’]).sum()
print(df1)<\/p>\n

list = np.arange(1,8,1)
print (list)<\/p>\n

#\u9700\u6c42\uff1agroupby \u4e4b\u540e\uff0c\u540c\u4e00\u533b\u9662\u7684\u6708\u4efd\u6ca1\u6709\u5728 list \u4e2d\u51fa\u73b0\uff08\u6bd4\u5982\u4eba\u6c11\u6ca1\u6709 2,4,5,6 \u6708\uff09\uff0c\u5219\u8865\u5145\u7f3a\u5931\u6708\u4efd\uff0c\u5e76\u4e14\u9500\u91cf\u6570\u636e\u4e3a 0,\u540c\u7406\u4e0b\u9762\u7684\u533b\u9662\u4e5f\u8fdb\u884c\u540c\u6837\u64cd\u4f5c <\/p><\/div>\n

\u5927\u4f6c\u6709\u8a71\u8aaa<\/b> (10<\/span>) <\/div>\n
<\/div>\n<\/p><\/div>\n<\/p><\/div>\n
    \n
  • \n
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    \u8cc7\u6df1\u5927\u4f6c : noqwerty <\/span> <\/div>\n
    <\/i> <\/span> <\/div>\n<\/p><\/div>\n
    \"pandas<\/p>\n

    \u53c2\u8003\u8fd9\u4e2a\u7b54\u6848\uff1a https:\/\/stackoverflow.com\/questions\/49646959\/how-can-i-include-missing-items-using-groupby-in-pandas <\/p><\/div>\n<\/p><\/div>\n<\/li>\n

  • \n
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    \u4e3b<\/span> \u8cc7\u6df1\u5927\u4f6c : Scorpiocat <\/span> <\/div>\n
    <\/i> <\/span> <\/div>\n<\/p><\/div>\n
    \u8c22\u8c22\u56de\u7b54\uff01\u6211\u8fd0\u884c\u4e86\u4e00\u4e0b\u4ee3\u7801\u6ca1\u6709\u95ee\u9898\u3002\u4f46\u662f\u600e\u4e48\u80fd\u628a\u533b\u9662\u4e2d\u7f3a\u5931\u7684\u6708\u4efd\u6570\u636e\u8865\u9f50\u53bb\u5462\uff1f
    @noqwerty <\/div>\n<\/p><\/div>\n<\/li>\n
  • \n
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    \u8cc7\u6df1\u5927\u4f6c : xyd1205148795 <\/span> <\/div>\n
    <\/i> <\/span> <\/div>\n<\/p><\/div>\n
    \u8fd9\u4e2a\u53ef\u4ee5\u5417
    df1 = df.set_index([‘\u6708’,’\u533b\u9662’]).unstack()
    month =pd.DataFrame(np.arange(1,8,1).T,columns=[‘\u6708’])
    month[‘\u6708’] = month[‘\u6708’].astype(‘str’)
    data = month.merge(df1,how=’left’,on=’\u6708’).fillna(0)
    print(data) <\/div>\n<\/p><\/div>\n<\/li>\n
  • \n
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    \u8cc7\u6df1\u5927\u4f6c : jyyx <\/span> <\/div>\n
    <\/i> <\/span> <\/div>\n<\/p><\/div>\n
    df = pd.DataFrame({‘\u6708’:[‘1′,’2′,’3′,’5′,’7’],
    ‘\u533b\u9662’:[‘\u4eba\u6c11’,’\u4e8c\u9662’,’\u4eba\u6c11’,’\u4e8c\u9662’,’\u4eba\u6c11’],
    ‘\u9500\u91cf’:np.arange(1,10,2) })
    month_list = [‘1′,’2′,’3′,’4′,’5′,’6′,’7′,’8’]
    df[‘\u6708’] = df[‘\u6708’].astype(‘category’).cat.set_categories(month_list, ordered=True)
    gb = df.groupby([‘\u533b\u9662’,’\u6708’]).sum().fillna(0)
    print(gb) <\/div>\n<\/p><\/div>\n<\/li>\n
  • \n
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    \u8cc7\u6df1\u5927\u4f6c : princelai <\/span> <\/div>\n
    <\/i> <\/span> <\/div>\n<\/p><\/div>\n
    from itertools import product
    df2 = df1.reindex(index=list(product(df1.index.get_level_values(0).unique(),[f'{i}’ for i in np.arange(1,8,1)])),fill_value=0) <\/div>\n<\/p><\/div>\n<\/li>\n
  • \n
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    \u4e3b<\/span> \u8cc7\u6df1\u5927\u4f6c : Scorpiocat <\/span> <\/div>\n
    <\/i> <\/span> <\/div>\n<\/p><\/div>\n
    \u6211\u7684\u60f3\u6cd5\u662f\u5148 groupbysum\uff0c\u518d\u5bf9\u6bcf\u4e00\u5bb6\u533b\u9662\u7684\u7f3a\u5931\u6708\u4efd\u6570\u636e\u8865\u9f50\uff0c\u8fd9\u4e00\u6b65\u5c31\u4e0d\u592a\u660e\u767d\u3002
    \u653e\u51fa\u539f\u59cb\u6570\u636e\uff0c\u770b\u770b\u5927\u5bb6\u6709\u6ca1\u6709\u5174\u8da3\u6574\u7406\u4e00\u4e0b\u3002
    \"pandas \"pandas
    \u539f\u59cb\u6570\u636e
    \u94fe\u63a5: https:\/\/pan.baidu.com\/s\/1zVaTeBDGzL1q_DjYrHptIQ \u63d0\u53d6\u7801: 1d2j <\/div>\n<\/p><\/div>\n<\/li>\n
  • \n
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    \u4e3b<\/span> \u8cc7\u6df1\u5927\u4f6c : Scorpiocat <\/span> <\/div>\n
    <\/i> <\/span> <\/div>\n<\/p><\/div>\n
    @princelai @jyyx @xyd1205148795 @noqwerty <\/div>\n<\/p><\/div>\n<\/li>\n
  • \n
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    \u8cc7\u6df1\u5927\u4f6c : princelai <\/span> <\/div>\n
    <\/i> <\/span> <\/div>\n<\/p><\/div>\n
    import pandas as pd<\/p>\n

    df = pd.read_excel(“data.xlsx”)<\/p>\n

    df1 = df.pivot_table(index=”\u533b\u9662”,columns=”\u6708”,values=”\u603b\u8ba1”,aggfunc=”sum”).reindex(columns=range(1,13)).fillna(0).cumsum(axis=1)
    df1.columns = [f”{c}\u6708” for c in df1.columns] <\/div>\n<\/p><\/div>\n<\/li>\n

  • \n
    \n
    \n
    \u8cc7\u6df1\u5927\u4f6c : princelai <\/span> <\/div>\n
    <\/i> <\/span> <\/div>\n<\/p><\/div>\n
    \u4f60\u8fd9\u4e2a excel \u8868\u5c31\u80fd\u5f88\u5feb\u5b9e\u73b0\uff0c\u4e00\u5171\u4e5f\u6ca1\u591a\u5c11\u6570\u636e <\/div>\n<\/p><\/div>\n<\/li>\n
  • \n
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    \u4e3b<\/span> \u8cc7\u6df1\u5927\u4f6c : Scorpiocat <\/span> <\/div>\n
    <\/i> <\/span> <\/div>\n<\/p><\/div>\n
    @princelai #9 \u5389\u5bb3\uff01\u8c22\u8c22\uff01\u81ea\u5df1\u521a\u5f00\u59cb\u5b66\uff0c\u5c31\u60f3\u7740\u5b9e\u6218\u4e86… <\/div>\n<\/p><\/div>\n<\/li>\n
  • \n","protected":false},"excerpt":{"rendered":"

    pandas \u64cd\u4f5c\u6c42\u52a9\uff0c\u6570\u636e\u5982\u4e0b …<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[],"tags":[],"_links":{"self":[{"href":"http:\/\/4563.org\/index.php?rest_route=\/wp\/v2\/posts\/226010"}],"collection":[{"href":"http:\/\/4563.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/4563.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/4563.org\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/4563.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=226010"}],"version-history":[{"count":0,"href":"http:\/\/4563.org\/index.php?rest_route=\/wp\/v2\/posts\/226010\/revisions"}],"wp:attachment":[{"href":"http:\/\/4563.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=226010"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/4563.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=226010"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/4563.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=226010"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}