{"id":119349,"date":"2026-10-29T12:48:49","date_gmt":"2026-10-29T04:48:49","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/119349.html"},"modified":"2026-10-29T12:48:49","modified_gmt":"2026-10-29T04:48:49","slug":"python-%e6%95%b0%e6%8d%ae%e5%a4%84%e7%90%86%e8%bf%9b%e9%98%b6%ef%bc%88%e5%8d%81%e5%85%ab%ef%bc%89%e6%89%b9%e9%87%8f%e5%a4%84%e7%90%86%e5%90%8c%e7%bb%93%e6%9e%84%e6%96%87%e4%bb%b6%ef%bc%9a%e4%b8%80","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/119349.html","title":{"rendered":"Python \u6570\u636e\u5904\u7406\u8fdb\u9636\uff08\u5341\u516b\uff09\u6279\u91cf\u5904\u7406\u540c\u7ed3\u6784\u6587\u4ef6\uff1a\u4e00\u4e2a\u6587\u4ef6\u5939\u4e00\u6b21\u8dd1\u5b8c"},"content":{"rendered":"

\u5199\u5728\u524d\u9762<\/h3>\n

\u4e0a\u4e00\u7bc7\u662f\u300c\u4e00\u4efd\u6570\u636e\u505a\u6210\u4e00\u4efd\u62a5\u8868\u300d，\u8fd9\u4e00\u7bc7\u662f\u5b83\u7684\u653e\u5927\u7248：\u4e00\u5806\u7ed3\u6784\u76f8\u540c\u7684\u6587\u4ef6，\u5408\u6210\u4e00\u5f20\u8868\u3002<\/p>\n

\u6700\u5e38\u89c1\u7684\u6837\u5b50：\u8d22\u52a1\u7ed9\u4f60\u4e00\u6574\u5e74\u7684\u9500\u552e\u660e\u7ec6，\u4e00\u4e2a\u6708\u4e00\u4e2a\u6587\u4ef6\u3001\u5217\u540d\u4e00\u6837；\u6216\u8005\u51e0\u5341\u4e2a\u95e8\u5e97\u5404\u81ea\u5bfc\u51fa，\u6587\u4ef6\u540d\u91cc\u5e26\u95e8\u5e97\u7f16\u53f7\u3002\u624b\u5de5\u64cd\u4f5c\u5c31\u662f\u6253\u5f00\u3001\u590d\u5236\u3001\u7c98\u8d34 12 \u6b21，\u8fd8\u5bb9\u6613\u6f0f\u4e00\u4e2a\u3002<\/p>\n

\u6279\u91cf\u5904\u7406\u7684\u6838\u5fc3\u53ea\u6709\u4e09\u6b65：\u627e\u5230\u6587\u4ef6 \u2192 \u5faa\u73af\u8bfb\u5e76\u6253\u6807\u8bb0 \u2192 \u62fc\u8d77\u6765\u3002\u771f\u6b63\u7684\u5751\u5728\u7ec6\u8282：\u6587\u4ef6\u540d\u6392\u5e8f\u3001\u76ee\u5f55\u5c42\u7ea7\u3001\u67d0\u4e2a\u6587\u4ef6\u635f\u574f\u3001\u7f16\u7801\u4e0d\u4e00\u81f4\u3002<\/p>\n

\u5148\u786e\u8ba4\u793a\u4f8b\u6570\u636e\u5728\u624b\u8fb9：<\/p>\n

import<\/span> os
\nimport<\/span> mkdata<\/p>\n

if<\/span> not<\/span> os.<\/span>path.<\/span>exists(<\/span>"data\/sales.csv"<\/span>)<\/span>:<\/span>
\n mkdata.<\/span>main(<\/span>)<\/span>
\nprint<\/span>(<\/span>"\u793a\u4f8b\u6570\u636e\u5c31\u7eea："<\/span>,<\/span> os.<\/span>path.<\/span>exists(<\/span>"data\/sales.csv"<\/span>)<\/span>)<\/span><\/p>\n

\u8fd9\u6bb5\u4f1a\u68c0\u67e5\u7b2c 1 \u7bc7\u751f\u6210\u7684 data\/ \u76ee\u5f55\u5728\u4e0d\u5728，\u4e0d\u5728\u5c31\u81ea\u52a8\u8865\u4e00\u6b21；\u5df2\u7ecf\u6709\u6570\u636e\u65f6\u53ea\u4f1a\u6253\u5370\u4e00\u884c \u793a\u4f8b\u6570\u636e\u5c31\u7eea： True，\u4e0d\u5f71\u54cd\u540e\u9762\u7684\u7ed3\u679c\u3002<\/p>\n

\u4e00\u3001\u5148\u9020\u4e00\u6279\u300c\u540c\u7ed3\u6784\u6587\u4ef6\u300d<\/h3>\n

\u6309\u6708\u4efd\u628a sales.csv \u62c6\u6210\u82e5\u5e72\u4e2a\u6708\u5ea6\u6587\u4ef6（\u793a\u4f8b\u6570\u636e\u8de8 5 \u4e2a\u6708，\u6240\u4ee5\u662f 5 \u4e2a），\u6a21\u62df\u8d22\u52a1\u53d1\u7684\u6708\u5ea6\u62a5\u8868\u3002\u7b2c 1 \u7bc7\u7684 mkdata.py \u53ea\u9020\u4e86\u4e00\u4e2a\u6574\u8868，\u8fd9\u91cc\u987a\u624b\u6f14\u793a\u300c\u600e\u4e48\u6309\u6761\u4ef6\u62c6\u6587\u4ef6\u300d\u3002<\/p>\n

import<\/span> os
\nimport<\/span> pandas as<\/span> pd<\/p>\n

df =<\/span> pd.<\/span>read_csv(<\/span>"data\/sales.csv"<\/span>,<\/span> encoding=<\/span>"utf-8-sig"<\/span>)<\/span>
\ndf[<\/span>"\u8ba2\u5355\u65e5\u671f"<\/span>]<\/span> =<\/span> pd.<\/span>to_datetime(<\/span>df[<\/span>"\u8ba2\u5355\u65e5\u671f"<\/span>]<\/span>,<\/span> format<\/span>=<\/span>"%Y-%m-%d"<\/span>)<\/span>
\ndf[<\/span>"\u6708\u4efd"<\/span>]<\/span> =<\/span> df[<\/span>"\u8ba2\u5355\u65e5\u671f"<\/span>]<\/span>.<\/span>dt.<\/span>strftime(<\/span>"%Y-%m"<\/span>)<\/span><\/p>\n

os.<\/span>makedirs(<\/span>"data\/monthly"<\/span>,<\/span> exist_ok=<\/span>True<\/span>)<\/span>
\nfor<\/span> month,<\/span> part in<\/span> df.<\/span>groupby(<\/span>"\u6708\u4efd"<\/span>)<\/span>:<\/span>
\n part.<\/span>drop(<\/span>columns=<\/span>[<\/span>"\u6708\u4efd"<\/span>]<\/span>)<\/span>.<\/span>to_csv(<\/span>
\n f"data\/monthly\/sales_<\/span>{<\/span>month}<\/span><\/span>.csv"<\/span><\/span>,<\/span> index=<\/span>False<\/span>,<\/span> encoding=<\/span>"utf-8-sig"<\/span>
\n )<\/span><\/p>\n

files =<\/span> sorted<\/span>(<\/span>os.<\/span>listdir(<\/span>"data\/monthly"<\/span>)<\/span>)<\/span>
\nprint<\/span>(<\/span>"\u751f\u6210\u6587\u4ef6\u6570："<\/span>,<\/span> len<\/span>(<\/span>files)<\/span>)<\/span>
\nprint<\/span>(<\/span>files)<\/span><\/p>\n

\u751f\u6210\u6587\u4ef6\u6570： 5
\n['sales_2024-01.csv', 'sales_2024-02.csv', 'sales_2024-03.csv', 'sales_2024-04.csv', 'sales_2024-05.csv']<\/p>\n

\u6587\u4ef6\u540d\u5e26\u6708\u4efd（sales_2024-01.csv），\u8fd9\u5c31\u662f\u540e\u9762\u63d0\u53d6\u300c\u6765\u6e90\u300d\u7684\u5173\u952e\u2014\u2014\u6587\u4ef6\u540d\u672c\u8eab\u4e5f\u662f\u6570\u636e\u3002<\/p>\n

\u4e8c\u3001glob \u4e0e os.walk：\u5148\u627e\u5230\u6587\u4ef6<\/h3>\n

\u4e24\u79cd\u904d\u5386\u65b9\u5f0f\u7684\u533a\u522b\u4e00\u53e5\u8bdd：glob \u6309\u6a21\u5f0f\u627e\u5f53\u524d\u5c42（** \u53ef\u9012\u5f52），os.walk \u9010\u5c42\u904d\u5386\u6240\u6709\u76ee\u5f55\u3002\u6279\u91cf\u5904\u7406\u540c\u7ed3\u6784\u6587\u4ef6，glob \u57fa\u672c\u591f\u7528\u3002<\/p>\n

from<\/span> pathlib import<\/span> Path<\/p>\n

# \u2460 glob：\u6309\u6a21\u5f0f\u5339\u914d，** \u8868\u793a\u9012\u5f52\u6240\u6709\u5b50\u76ee\u5f55<\/span>
\nfiles =<\/span> sorted<\/span>(<\/span>Path(<\/span>"data\/monthly"<\/span>)<\/span>.<\/span>glob(<\/span>"*.csv"<\/span>)<\/span>)<\/span>
\nprint<\/span>(<\/span>"\u76f4\u63a5\u5b50\u76ee\u5f55："<\/span>,<\/span> len<\/span>(<\/span>files)<\/span>,<\/span> "\u4e2a"<\/span>)<\/span>
\nfor<\/span> f in<\/span> files[<\/span>:<\/span>3<\/span>]<\/span>:<\/span>
\n print<\/span>(<\/span>" "<\/span>,<\/span> f.<\/span>name)<\/span><\/p>\n

# \u2461 rglob：\u7b49\u4ef7\u4e8e glob("**\/*.csv")<\/span>
\nprint<\/span>(<\/span>"rglob \u7ed3\u679c："<\/span>,<\/span> len<\/span>(<\/span>list<\/span>(<\/span>Path(<\/span>"data\/monthly"<\/span>)<\/span>.<\/span>rglob(<\/span>"*.csv"<\/span>)<\/span>)<\/span>)<\/span>)<\/span><\/p>\n

# \u2462 os.walk：\u9700\u8981\u533a\u5206\u300c\u5728\u54ea\u4e00\u5c42\u300d\u65f6\u7528\u5b83<\/span>
\nimport<\/span> os<\/p>\n

for<\/span> root,<\/span> dirs,<\/span> names in<\/span> os.<\/span>walk(<\/span>"data\/monthly"<\/span>)<\/span>:<\/span>
\n csvs =<\/span> [<\/span>n for<\/span> n in<\/span> names if<\/span> n.<\/span>endswith(<\/span>".csv"<\/span>)<\/span>]<\/span>
\n print<\/span>(<\/span>f"\u76ee\u5f55 <\/span>{<\/span>root}<\/span><\/span>：<\/span>{<\/span>len<\/span>(<\/span>csvs)<\/span>}<\/span><\/span> \u4e2a CSV"<\/span><\/span>)<\/span>
\n break<\/span><\/p>\n

\u76f4\u63a5\u5b50\u76ee\u5f55： 5 \u4e2a
\n sales_2024-01.csv
\n sales_2024-02.csv
\n sales_2024-03.csv
\nrglob \u7ed3\u679c： 5
\n\u76ee\u5f55 data\/monthly：5 \u4e2a CSV<\/p>\n

\u4e09\u3001\u5faa\u73af\u8bfb + \u6253\u6807\u8bb0 + \u62fc\u8d77\u6765<\/h3>\n

\u6bcf\u8bfb\u4e00\u4e2a\u6587\u4ef6，\u52a0\u4e00\u5217\u300c\u6765\u6e90\u6587\u4ef6\u300d\u548c\u4ece\u6587\u4ef6\u540d\u89e3\u6790\u51fa\u7684\u300c\u6708\u4efd\u300d，\u7136\u540e concat\u3002\u52a0\u6807\u8bb0\u8fd9\u4e00\u6b65\u5f88\u91cd\u8981\u2014\u2014\u6c47\u603b\u540e\u4f60\u8fd8\u80fd\u8ffd\u6eaf\u6bcf\u884c\u662f\u54ea\u6765\u7684\u3002<\/p>\n

import<\/span> re<\/p>\n

import<\/span> pandas as<\/span> pd
\nfrom<\/span> pathlib import<\/span> Path<\/p>\n

frames =<\/span> [<\/span>]<\/span>
\nfor<\/span> path in<\/span> sorted<\/span>(<\/span>Path(<\/span>"data\/monthly"<\/span>)<\/span>.<\/span>glob(<\/span>"*.csv"<\/span>)<\/span>)<\/span>:<\/span>
\n part =<\/span> pd.<\/span>read_csv(<\/span>path,<\/span> encoding=<\/span>"utf-8-sig"<\/span>)<\/span>
\n part[<\/span>"\u6765\u6e90\u6587\u4ef6"<\/span>]<\/span> =<\/span> path.<\/span>name
\n part[<\/span>"\u6708\u4efd"<\/span>]<\/span> =<\/span> re.<\/span>search(<\/span>r"(\\\\d{4}-\\\\d{2})"<\/span>,<\/span> path.<\/span>stem)<\/span>.<\/span>group(<\/span>1<\/span>)<\/span>
\n frames.<\/span>append(<\/span>part)<\/span>
\n print<\/span>(<\/span>f"\u8bfb\u5165 <\/span>{<\/span>path.<\/span>name}<\/span><\/span>：<\/span>{<\/span>len<\/span>(<\/span>part)<\/span>}<\/span><\/span> \u884c"<\/span><\/span>)<\/span><\/p>\n

all_data =<\/span> pd.<\/span>concat(<\/span>frames,<\/span> ignore_index=<\/span>True<\/span>)<\/span>
\nprint<\/span>(<\/span>"—-"<\/span>)<\/span>
\nprint<\/span>(<\/span>"\u603b\u884c\u6570："<\/span>,<\/span> len<\/span>(<\/span>all_data)<\/span>)<\/span>
\nprint<\/span>(<\/span>"\u5217："<\/span>,<\/span> all_data.<\/span>columns.<\/span>tolist(<\/span>)<\/span>)<\/span>
\nprint<\/span>(<\/span>all_data[<\/span>[<\/span>"\u6708\u4efd"<\/span>,<\/span> "\u57ce\u5e02"<\/span>,<\/span> "\u4ea7\u54c1"<\/span>,<\/span> "\u91d1\u989d"<\/span>,<\/span> "\u6765\u6e90\u6587\u4ef6"<\/span>]<\/span>]<\/span>.<\/span>head(<\/span>5<\/span>)<\/span>.<\/span>to_string(<\/span>index=<\/span>False<\/span>)<\/span>)<\/span><\/p>\n

\u8bfb\u5165 sales_2024-01.csv：4 \u884c
\n\u8bfb\u5165 sales_2024-02.csv：3 \u884c
\n\u8bfb\u5165 sales_2024-03.csv：3 \u884c
\n\u8bfb\u5165 sales_2024-04.csv：3 \u884c
\n\u8bfb\u5165 sales_2024-05.csv：3 \u884c
\n—-
\n\u603b\u884c\u6570： 16
\n\u5217： ['\u8ba2\u5355\u65e5\u671f', '\u57ce\u5e02', '\u4ea7\u54c1', '\u6570\u91cf', '\u5355\u4ef7', '\u9500\u552e\u5458', '\u91d1\u989d', '\u6765\u6e90\u6587\u4ef6', '\u6708\u4efd']
\n \u6708\u4efd \u57ce\u5e02 \u4ea7\u54c1 \u91d1\u989d \u6765\u6e90\u6587\u4ef6
\n2024-01 \u676d\u5dde A-\u7b14\u8bb0\u672c 149.7 sales_2024-01.csv
\n2024-01 \u4e0a\u6d77 B-\u9f20\u6807 149.5 sales_2024-01.csv
\n2024-01 \u4e0a\u6d77 B-\u9f20\u6807 149.5 sales_2024-01.csv
\n2024-01 \u5317\u4eac C-\u952e\u76d8 178.0 sales_2024-01.csv
\n2024-02 \u676d\u5dde A-\u7b14\u8bb0\u672c 199.6 sales_2024-02.csv<\/p>\n

ignore_index=True \u5f88\u91cd\u8981：\u4e0d\u52a0\u7684\u8bdd，\u6bcf\u4e2a\u6587\u4ef6\u90fd\u4ece 0 \u5f00\u59cb\u7f16\u53f7，\u62fc\u5b8c\u7d22\u5f15\u91cd\u590d，\u540e\u7eed loc \u4f1a\u53d6\u5230\u591a\u884c\u3002<\/p>\n

\u56db\u3001\u6c47\u603b\u4e0e\u5bfc\u51fa<\/h3>\n

\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

\u56fe 1：\u6279\u91cf\u5904\u7406\u7684\u5957\u8def\u2014\u2014\u4e00\u4e2a\u6587\u4ef6\u5939\u91cc\u82e5\u5e72\u540c\u7ed3\u6784\u6587\u4ef6，concat \u6210\u4e00\u5f20\u603b\u8868\u5e76\u52a0\u300c\u6765\u6e90\u6587\u4ef6\u300d\u5217，\u518d\u6309\u6708\u6c47\u603b\u3002<\/p>\n

\u62fc\u5b8c\u4e4b\u540e\u5c31\u662f\u719f\u6089\u7684 groupby；\u987a\u4fbf\u5bf9\u6bd4\u4e00\u4e0b\u300c\u6309\u6708\u300d\u548c\u300c\u6309\u57ce\u5e02\u300d\u4e24\u4e2a\u7ef4\u5ea6\u3002<\/p>\n

import<\/span> re<\/p>\n

import<\/span> pandas as<\/span> pd
\nfrom<\/span> pathlib import<\/span> Path<\/p>\n

frames =<\/span> [<\/span>]<\/span>
\nfor<\/span> path in<\/span> sorted<\/span>(<\/span>Path(<\/span>"data\/monthly"<\/span>)<\/span>.<\/span>glob(<\/span>"*.csv"<\/span>)<\/span>)<\/span>:<\/span>
\n part =<\/span> pd.<\/span>read_csv(<\/span>path,<\/span> encoding=<\/span>"utf-8-sig"<\/span>)<\/span>
\n part[<\/span>"\u6708\u4efd"<\/span>]<\/span> =<\/span> re.<\/span>search(<\/span>r"(\\\\d{4}-\\\\d{2})"<\/span>,<\/span> path.<\/span>stem)<\/span>.<\/span>group(<\/span>1<\/span>)<\/span>
\n frames.<\/span>append(<\/span>part)<\/span>
\nall_data =<\/span> pd.<\/span>concat(<\/span>frames,<\/span> ignore_index=<\/span>True<\/span>)<\/span><\/p>\n

by_month =<\/span> all_data.<\/span>groupby(<\/span>"\u6708\u4efd"<\/span>)<\/span>.<\/span>agg(<\/span>
\n \u8ba2\u5355\u6570=<\/span>(<\/span>"\u91d1\u989d"<\/span>,<\/span> "size"<\/span>)<\/span>,<\/span> \u9500\u552e\u989d=<\/span>(<\/span>"\u91d1\u989d"<\/span>,<\/span> "sum"<\/span>)<\/span>
\n)<\/span>.<\/span>round<\/span>(<\/span>2<\/span>)<\/span>.<\/span>reset_index(<\/span>)<\/span>
\nby_city =<\/span> all_data.<\/span>groupby(<\/span>"\u57ce\u5e02"<\/span>,<\/span> dropna=<\/span>False<\/span>)<\/span>[<\/span>"\u91d1\u989d"<\/span>]<\/span>.<\/span>sum<\/span>(<\/span>)<\/span>.<\/span>round<\/span>(<\/span>2<\/span>)<\/span>.<\/span>reset_index(<\/span>)<\/span><\/p>\n

print<\/span>(<\/span>"\u6309\u6708："<\/span>)<\/span>
\nprint<\/span>(<\/span>by_month.<\/span>to_string(<\/span>index=<\/span>False<\/span>)<\/span>)<\/span>
\nprint<\/span>(<\/span>"—-"<\/span>)<\/span>
\nprint<\/span>(<\/span>"\u6309\u57ce\u5e02："<\/span>)<\/span>
\nprint<\/span>(<\/span>by_city.<\/span>sort_values(<\/span>"\u91d1\u989d"<\/span>,<\/span> ascending=<\/span>False<\/span>)<\/span>.<\/span>to_string(<\/span>index=<\/span>False<\/span>)<\/span>)<\/span>
\nprint<\/span>(<\/span>"—-"<\/span>)<\/span>
\nimport<\/span> os
\nos.<\/span>makedirs(<\/span>"output"<\/span>,<\/span> exist_ok=<\/span>True<\/span>)<\/span>
\nall_data.<\/span>to_excel(<\/span>"output\/\u6708\u5ea6\u6c47\u603b_\u5408\u5e76\u7248.xlsx"<\/span>,<\/span> index=<\/span>False<\/span>)<\/span>
\nprint<\/span>(<\/span>"\u5df2\u5bfc\u51fa output\/\u6708\u5ea6\u6c47\u603b_\u5408\u5e76\u7248.xlsx，\u884c\u6570："<\/span>,<\/span> len<\/span>(<\/span>all_data)<\/span>)<\/span><\/p>\n

\u6309\u6708：
\n \u6708\u4efd \u8ba2\u5355\u6570 \u9500\u552e\u989d
\n2024-01 4 626.7
\n2024-02 3 379.0
\n2024-03 3 1295.9
\n2024-04 3 209.5
\n2024-05 3 2752.0
\n—-
\n\u6309\u57ce\u5e02：
\n \u57ce\u5e02 \u91d1\u989d
\n \u676d\u5dde 2805.1
\n \u4e0a\u6d77 1545.0
\n \u5e7f\u5dde 535.4
\n \u5317\u4eac 227.9
\nNaN 149.7
\n—-
\n\u5df2\u5bfc\u51fa output\/\u6708\u5ea6\u6c47\u603b_\u5408\u5e76\u7248.xlsx，\u884c\u6570： 16<\/p>\n

\u4e94\u3001\u574f\u6587\u4ef6\u4e0e\u6392\u5e8f：\u4e24\u4e2a\u5fc5\u8e29\u7684\u5751<\/h3>\n

\u2460 \u67d0\u4e2a\u6587\u4ef6\u635f\u574f，\u4e0d\u80fd\u6574\u4e2a\u811a\u672c\u5d29<\/h4>\n

\u771f\u5b9e\u573a\u666f\u91cc\u603b\u6709\u6253\u4e0d\u5f00\u7684\u6587\u4ef6（\u522b\u4eba\u6b63\u5728\u5199\u3001\u7f16\u7801\u4e0d\u5bf9\u3001\u6839\u672c\u4e0d\u662f CSV）\u3002\u52a0 try\/except \u8bb0\u5f55\u4e0b\u6765，\u8dd1\u5b8c\u518d\u5904\u7406\u3002<\/p>\n

import<\/span> pandas as<\/span> pd
\nfrom<\/span> pathlib import<\/span> Path<\/p>\n

# \u6545\u610f\u9020\u4e00\u4e2a\u574f\u6587\u4ef6：\u5185\u5bb9\u662f\u4e8c\u8fdb\u5236\u5783\u573e<\/span>
\nPath(<\/span>"data\/monthly\/broken.csv"<\/span>)<\/span>.<\/span>write_text(<\/span>"\u8fd9\u4e0d\u662fCSV\\\\x00\\\\x01"<\/span>,<\/span> encoding=<\/span>"utf-8"<\/span>)<\/span><\/p>\n

ok,<\/span> failed =<\/span> [<\/span>]<\/span>,<\/span> [<\/span>]<\/span>
\nfor<\/span> path in<\/span> sorted<\/span>(<\/span>Path(<\/span>"data\/monthly"<\/span>)<\/span>.<\/span>glob(<\/span>"*.csv"<\/span>)<\/span>)<\/span>:<\/span>
\n try<\/span>:<\/span>
\n part =<\/span> pd.<\/span>read_csv(<\/span>path,<\/span> encoding=<\/span>"utf-8-sig"<\/span>)<\/span>
\n ok.<\/span>append(<\/span>(<\/span>path.<\/span>name,<\/span> len<\/span>(<\/span>part)<\/span>)<\/span>)<\/span>
\n except<\/span> Exception as<\/span> ex:<\/span>
\n failed.<\/span>append(<\/span>(<\/span>path.<\/span>name,<\/span> type<\/span>(<\/span>ex)<\/span>.<\/span>__name__)<\/span>)<\/span><\/p>\n

print<\/span>(<\/span>"\u6210\u529f："<\/span>,<\/span> len<\/span>(<\/span>ok)<\/span>,<\/span> "\u4e2a"<\/span>)<\/span>
\nprint<\/span>(<\/span>"\u5931\u8d25："<\/span>,<\/span> failed)<\/span>
\nprint<\/span>(<\/span>"\u6210\u529f\u7387："<\/span>,<\/span> f"<\/span>{<\/span>len<\/span>(<\/span>ok)<\/span> \/<\/span> (<\/span>len<\/span>(<\/span>ok)<\/span> +<\/span> len<\/span>(<\/span>failed)<\/span>)<\/span>:<\/span>.1%<\/span>}<\/span><\/span>"<\/span><\/span>)<\/span><\/p>\n

\u6210\u529f： 6 \u4e2a
\n\u5931\u8d25： []
\n\u6210\u529f\u7387： 100.0%<\/p>\n

\u2461 \u5b57\u7b26\u4e32\u6392\u5e8f\u4f1a\u628a 10 \u6392\u5728 2 \u524d\u9762<\/h4>\n

m1, m10, m2 \u8fd9\u79cd\u6587\u4ef6\u540d，sorted() \u6309\u5b57\u7b26\u4e32\u6392\u5c31\u662f\u9519\u7684\u3002\u4e24\u79cd\u89e3\u6cd5：\u6587\u4ef6\u540d\u7528\u96f6\u586b\u5145（month_01），\u6216\u8005\u81ea\u5b9a\u4e49\u6392\u5e8f key\u3002<\/p>\n

from<\/span> pathlib import<\/span> Path<\/p>\n

names =<\/span> [<\/span>"sales_2024-1.csv"<\/span>,<\/span> "sales_2024-10.csv"<\/span>,<\/span> "sales_2024-2.csv"<\/span>]<\/span>
\nprint<\/span>(<\/span>"\u5b57\u7b26\u4e32\u6392\u5e8f："<\/span>,<\/span> sorted<\/span>(<\/span>names)<\/span>)<\/span>
\nprint<\/span>(<\/span>"\u6309\u6587\u4ef6\u540d\u91cc\u7684\u6570\u5b57\u6392："<\/span>,<\/span> sorted<\/span>(<\/span>names,<\/span> key=<\/span>lambda<\/span> s:<\/span> int<\/span>(<\/span>s.<\/span>split(<\/span>"-"<\/span>)<\/span>[<\/span>–<\/span>1<\/span>]<\/span>.<\/span>split(<\/span>"."<\/span>)<\/span>[<\/span>0<\/span>]<\/span>)<\/span>)<\/span>)<\/span>
\nprint<\/span>(<\/span>"—-"<\/span>)<\/span>
\n# \u771f\u5b9e\u9879\u76ee\u91cc\u66f4\u7701\u4e8b\u7684\u5199\u6cd5：\u7edf\u4e00\u7528\u96f6\u586b\u5145\u547d\u540d，\u6392\u5e8f\u5929\u7136\u6b63\u786e<\/span>
\nreal =<\/span> sorted<\/span>(<\/span>p.<\/span>name for<\/span> p in<\/span> Path(<\/span>"data\/monthly"<\/span>)<\/span>.<\/span>glob(<\/span>"*.csv"<\/span>)<\/span>)<\/span>
\nprint<\/span>(<\/span>"\u96f6\u586b\u5145\u547d\u540d："<\/span>,<\/span> real[<\/span>:<\/span>3<\/span>]<\/span>)<\/span><\/p>\n

\u5b57\u7b26\u4e32\u6392\u5e8f： ['sales_2024-1.csv', 'sales_2024-10.csv', 'sales_2024-2.csv']
\n\u6309\u6587\u4ef6\u540d\u91cc\u7684\u6570\u5b57\u6392： ['sales_2024-1.csv', 'sales_2024-2.csv', 'sales_2024-10.csv']
\n—-
\n\u96f6\u586b\u5145\u547d\u540d： ['broken.csv', 'sales_2024-01.csv', 'sales_2024-02.csv']<\/p>\n

\u516d\u3001\u4e00\u5f20\u6d41\u7a0b\u5bf9\u7167<\/h3>\n\n\u6b65\u9aa4\u7528\u4ec0\u4e48\u6ce8\u610f<\/tr>\n\n\n\n\n\n\n\n\n
\u627e\u6587\u4ef6<\/td>\nPath.glob("*.csv")<\/td>\n\u9700\u8981\u9012\u5f52\u7528 rglob \u6216 **<\/td>\n<\/tr>\n
\u8bfb\u6587\u4ef6<\/td>\npd.read_csv(path, encoding=…)<\/td>\n\u7f16\u7801\u4e0d\u4e00\u81f4\u8981\u9010\u4e2a\u8bd5<\/td>\n<\/tr>\n
\u6253\u6807\u8bb0<\/td>\npart["\u6765\u6e90"] = path.name<\/td>\n\u4e4b\u540e\u80fd\u8ffd\u6eaf\u6570\u636e\u8840\u7f18<\/td>\n<\/tr>\n
\u63d0\u53c2\u6570<\/td>\nre.search(r"…", path.stem)<\/td>\n\u6587\u4ef6\u540d\u89c4\u8303\u662f\u524d\u63d0<\/td>\n<\/tr>\n
\u62fc\u8868<\/td>\npd.concat(frames, ignore_index=True)<\/td>\n\u5fc5\u987b ignore_index<\/td>\n<\/tr>\n
\u5bb9\u9519<\/td>\ntry\/except + \u8bb0\u5f55<\/td>\n\u574f\u6587\u4ef6\u4e0d\u80fd\u62d6\u57ae\u5168\u5c40<\/td>\n<\/tr>\n
\u5bfc\u51fa<\/td>\nto_excel(sheet_name=…)<\/td>\n\u6570\u636e\u91cf\u5927\u5148\u6c47\u603b\u518d\u5199<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u5e38\u89c1\u95ee\u9898<\/h3>\n

Q1：concat \u4e4b\u540e\u5217\u5bf9\u4e0d\u4e0a，\u51fa\u73b0\u4e86\u5f88\u591a NaN\u3002<\/p>\n

\u5404\u6587\u4ef6\u5217\u540d\u4e0d\u4e00\u81f4（\u591a\u4e86\u7a7a\u683c\u3001\u6539\u4e86\u5927\u5c0f\u5199）\u3002\u5148\u7edf\u4e00：df.columns = df.columns.str.strip()，\u6216\u8005 concat \u4e4b\u540e print(df.isna().sum()) \u770b\u54ea\u5217\u6574\u5217\u662f\u7a7a，\u518d\u56de\u53bb\u67e5\u6e90\u6587\u4ef6\u3002<\/p>\n

Q2：\u6587\u4ef6\u592a\u591a，\u5faa\u73af\u5f88\u6162\u3002<\/p>\n

\u74f6\u9888\u901a\u5e38\u5728 IO \u548c read_csv \u89e3\u6790，\u800c\u4e0d\u662f concat\u3002\u4f18\u5316\u987a\u5e8f：\u53ea\u8bfb\u9700\u8981\u7684\u5217（usecols）\u3001\u6307\u5b9a dtype\u3001\u5927\u6587\u4ef6\u7528 chunksize；\u6587\u4ef6\u6570\u4e0a\u5343\u65f6\u8003\u8651\u5e76\u884c（concurrent.futures），\u4f46\u5148\u786e\u8ba4\u771f\u7684\u9700\u8981\u3002<\/p>\n

Q3：\u6587\u4ef6\u540d\u91cc\u7684\u65e5\u671f\u600e\u4e48\u53d6\u6700\u7a33？<\/p>\n

\u7528\u6b63\u5219\u63d0\u53d6\u6570\u5b57\u90e8\u5206，\u4e0d\u8981\u9760 split \u786c\u5207\u2014\u2014\u6587\u4ef6\u540d\u683c\u5f0f\u4e00\u53d8\u5c31\u5d29\u3002re.search(r"(\\\\d{4}-\\\\d{2})", path.stem) \u6bd4 path.stem[-7:] \u7a33\u5f97\u591a\u3002<\/p>\n

\u5c0f\u7ed3<\/h3>\n

\u6279\u91cf\u5904\u7406\u7684\u9aa8\u67b6\u662f\u4e09\u6b65：\u627e\u6587\u4ef6（glob）\u2192 \u5faa\u73af\u8bfb\u5e76\u6253\u6807\u8bb0（\u6587\u4ef6\u540d\u4e5f\u662f\u6570\u636e）\u2192 concat \u62fc\u8d77\u6765\u3002\u56db\u4e2a\u5de5\u7a0b\u7ec6\u8282\u51b3\u5b9a\u5b83\u80fd\u4e0d\u80fd\u5728\u751f\u4ea7\u91cc\u8dd1：\u52a0\u300c\u6765\u6e90\u300d\u5217\u3001ignore_index=True\u3001try\/except \u8bb0\u5f55\u574f\u6587\u4ef6\u3001\u547d\u540d\u89c4\u8303（\u96f6\u586b\u5145）\u3002\u505a\u5230\u8fd9\u56db\u6761，\u51e0\u767e\u4e2a\u6587\u4ef6\u4e5f\u5c31\u662f\u51e0\u79d2\u949f\u7684\u4e8b\u3002<\/p>\n

\u4e0b\u4e00\u7bc7\u6211\u4eec\u56de\u5230\u300c\u4e24\u6761\u817f\u8d70\u8def\u300d：Pandas \u548c Excel \u5404\u64c5\u957f\u4ec0\u4e48，\u540c\u4e00\u4e2a\u9700\u6c42\u4e24\u8fb9\u5206\u522b\u600e\u4e48\u5199\u3002<\/p>\n

\n","protected":false},"excerpt":{"rendered":"

\u5199\u5728\u524d\u9762
\n\u4e0a\u4e00\u7bc7\u662f\u300c\u4e00\u4efd\u6570\u636e\u505a\u6210\u4e00\u4efd\u62a5\u8868\u300d，\u8fd9\u4e00\u7bc7\u662f\u5b83\u7684\u653e\u5927\u7248：\u4e00\u5806\u7ed3\u6784\u76f8\u540c\u7684\u6587\u4ef6，\u5408\u6210\u4e00\u5f20\u8868\u3002
\n\u6700\u5e38\u89c1\u7684\u6837\u5b50：\u8d22\u52a1\u7ed9\u4f60\u4e00\u6574\u5e74\u7684\u9500\u552e\u660e\u7ec6，\u4e00\u4e2a\u6708\u4e00\u4e2a\u6587\u4ef6\u3001\u5217\u540d\u4e00\u6837；\u6216\u8005\u51e0\u5341\u4e2a\u95e8\u5e97\u5404\u81ea\u5bfc\u51fa，\u6587\u4ef6\u540d\u91cc\u5e26\u95e8\u5e97\u7f16\u53f7\u3002\u624b\u5de5\u64cd\u4f5c\u5c31\u662f\u6253\u5f00\u3001\u590d\u5236\u3001\u7c98\u8d34 12 \u6b21，\u8fd8\u5bb9\u6613\u6f0f\u4e00\u4e2a\u3002
\n\u6279\u91cf\u5904\u7406\u7684\u6838\u5fc3\u53ea\u6709\u4e09\u6b65：\u627e\u5230\u6587\u4ef6 \u2192 \u5faa\u73af\u8bfb\u5e76\u6253\u6807\u8bb0 \u2192 \u62fc\u8d77\u6765\u3002\u771f\u6b63\u7684\u5751\u5728\u7ec6\u8282&#xff<\/p>\n","protected":false},"author":2,"featured_media":119348,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[13178,4278,81,190,1838,395],"topic":[],"class_list":["post-119349","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-1024---","tag-pandas","tag-python","tag-190","tag-1838","tag-395"],"yoast_head":"\nPython \u6570\u636e\u5904\u7406\u8fdb\u9636\uff08\u5341\u516b\uff09\u6279\u91cf\u5904\u7406\u540c\u7ed3\u6784\u6587\u4ef6\uff1a\u4e00\u4e2a\u6587\u4ef6\u5939\u4e00\u6b21\u8dd1\u5b8c - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3<\/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.wsisp.com\/helps\/119349.html\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Python \u6570\u636e\u5904\u7406\u8fdb\u9636\uff08\u5341\u516b\uff09\u6279\u91cf\u5904\u7406\u540c\u7ed3\u6784\u6587\u4ef6\uff1a\u4e00\u4e2a\u6587\u4ef6\u5939\u4e00\u6b21\u8dd1\u5b8c - 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