{"id":1125085,"date":"2025-01-08T19:48:02","date_gmt":"2025-01-08T11:48:02","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1125085.html"},"modified":"2025-01-08T19:48:04","modified_gmt":"2025-01-08T11:48:04","slug":"python%e5%a6%82%e4%bd%95%e7%bc%96%e5%86%99%e5%89%8d%e5%8d%81%e4%ba%8c%e4%b8%aa%e6%9c%88%e5%ba%95","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1125085.html","title":{"rendered":"Python\u5982\u4f55\u7f16\u5199\u524d\u5341\u4e8c\u4e2a\u6708\u5e95"},"content":{"rendered":"

\"Python\u5982\u4f55\u7f16\u5199\u524d\u5341\u4e8c\u4e2a\u6708\u5e95\"<\/p>\n

\u5728Python\u4e2d\u7f16\u5199\u4ee3\u7801\u4ee5\u83b7\u53d6\u524d\u5341\u4e8c\u4e2a\u6708\u7684\u6708\u5e95\u65e5\u671f\uff0c\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u6cd5\u5b9e\u73b0<\/strong>\uff0c\u4f8b\u5982\uff1a\u4f7f\u7528datetime<\/code>\u548cdateutil<\/code>\u6a21\u5757\u3001\u5229\u7528\u5faa\u73af\u6765\u51cf\u5c11\u4ee3\u7801\u91cd\u590d\u3001\u5904\u7406\u95f0\u5e74\u548c\u4e0d\u540c\u6708\u4efd\u7684\u5929\u6570\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u5b9e\u73b0\u8fd9\u4e00\u76ee\u6807\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528datetime<\/code>\u548cdateutil<\/code>\u6a21\u5757<\/p>\n<\/p>\n

Python\u7684datetime<\/code>\u6a21\u5757\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u65f6\u95f4\u548c\u65e5\u671f\u5904\u7406\u529f\u80fd\uff0c\u800cdateutil<\/code>\u6a21\u5757\u4e3a\u65e5\u671f\u548c\u65f6\u95f4\u5904\u7406\u63d0\u4f9b\u4e86\u66f4\u591a\u7684\u5b9e\u7528\u5de5\u5177\u3002\u6211\u4eec\u53ef\u4ee5\u7ed3\u5408\u8fd9\u4e24\u4e2a\u6a21\u5757\u6765\u5b9e\u73b0\u83b7\u53d6\u524d\u5341\u4e8c\u4e2a\u6708\u5e95\u65e5\u671f\u7684\u76ee\u6807\u3002<\/p>\n<\/p>\n

\u5b89\u88c5dateutil<\/code>\u6a21\u5757<\/h3>\n<\/p>\n

\u9996\u5148\uff0c\u786e\u4fdd\u5b89\u88c5\u4e86dateutil<\/code>\u6a21\u5757\uff1a<\/p>\n<\/p>\n

pip install python-dateutil<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u83b7\u53d6\u5f53\u524d\u65e5\u671f\u548c\u65f6\u95f4<\/h3>\n<\/p>\n
\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u83b7\u53d6\u5f53\u524d\u7684\u65e5\u671f\u548c\u65f6\u95f4\u3002datetime<\/code>\u6a21\u5757\u4e2d\u7684datetime.now()<\/code>\u51fd\u6570\u53ef\u4ee5\u7528\u6765\u83b7\u53d6\u5f53\u524d\u7684\u65e5\u671f\u548c\u65f6\u95f4\u3002<\/p>\n<\/p>\n
from datetime import datetime<\/p>\n
current_date = datetime.now()<\/p>\n
print(f"Current Date: {current_date}")<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u83b7\u53d6\u6bcf\u4e2a\u6708\u7684\u6700\u540e\u4e00\u5929<\/h3>\n<\/p>\n
\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u9700\u8981\u83b7\u53d6\u6bcf\u4e2a\u6708\u7684\u6700\u540e\u4e00\u5929\u3002\u53ef\u4ee5\u4f7f\u7528dateutil.relativedelta<\/code>\u6765\u65b9\u4fbf\u5730\u8fdb\u884c\u65e5\u671f\u7684\u52a0\u51cf\u64cd\u4f5c\u3002<\/p>\n<\/p>\n
from datetime import datetime<\/p>\n
from dateutil.relativedelta import relativedelta<\/p>\n
\u83b7\u53d6\u5f53\u524d\u65e5\u671f<\/strong><\/h2>\n
current_date = datetime.now()<\/p>\n
\u5b58\u50a8\u524d\u5341\u4e8c\u4e2a\u6708\u7684\u6708\u5e95\u65e5\u671f<\/strong><\/h2>\n
end_of_months = []<\/p>\n
\u83b7\u53d6\u524d\u5341\u4e8c\u4e2a\u6708\u7684\u6708\u5e95\u65e5\u671f<\/strong><\/h2>\n
for i in range(12):<\/p>\n
    # \u51cf\u53bbi\u4e2a\u6708<\/p>\n
    previous_month = current_date - relativedelta(months=i)<\/p>\n
    # \u83b7\u53d6\u8be5\u6708\u7684\u7b2c\u4e00\u5929<\/p>\n
    first_day_of_month = previous_month.replace(day=1)<\/p>\n
    # \u83b7\u53d6\u4e0b\u4e2a\u6708\u7684\u7b2c\u4e00\u5929<\/p>\n
    first_day_of_next_month = first_day_of_month + relativedelta(months=1)<\/p>\n
    # \u83b7\u53d6\u8be5\u6708\u7684\u6700\u540e\u4e00\u5929<\/p>\n
    last_day_of_month = first_day_of_next_month - relativedelta(days=1)<\/p>\n
    end_of_months.append(last_day_of_month)<\/p>\n
\u6253\u5370\u524d\u5341\u4e8c\u4e2a\u6708\u7684\u6708\u5e95\u65e5\u671f<\/strong><\/h2>\n
for date in end_of_months:<\/p>\n
    print(date.strftime("%Y-%m-%d"))<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8be6\u7ec6\u63cf\u8ff0\u67d0\u4e2a\u6b65\u9aa4<\/h3>\n<\/p>\n
\u4e0a\u8ff0\u4ee3\u7801\u5b9e\u73b0\u4e86\u83b7\u53d6\u524d\u5341\u4e8c\u4e2a\u6708\u5e95\u65e5\u671f\u7684\u529f\u80fd\u3002\u4e3a\u4e86\u66f4\u8be6\u7ec6\u5730\u63cf\u8ff0\uff0c\u6211\u4eec\u6765\u89e3\u91ca\u4e00\u4e0b\u83b7\u53d6\u6bcf\u4e2a\u6708\u6700\u540e\u4e00\u5929\u7684\u6b65\u9aa4\uff1a<\/p>\n<\/p>\n
    \n
  1. \u8ba1\u7b97\u524di\u4e2a\u6708\u7684\u65e5\u671f<\/strong>\uff1a\u901a\u8fc7previous_month = current_date - relativedelta(months=i)<\/code>\uff0c\u6211\u4eec\u53ef\u4ee5\u83b7\u5f97\u5f53\u524d\u65e5\u671f\u524di\u4e2a\u6708\u7684\u65e5\u671f\u3002<\/li>\n
  2. \u83b7\u53d6\u8be5\u6708\u7684\u7b2c\u4e00\u5929<\/strong>\uff1a\u901a\u8fc7first_day_of_month = previous_month.replace(day=1)<\/code>\uff0c\u6211\u4eec\u5c06\u65e5\u671f\u8c03\u6574\u4e3a\u8be5\u6708\u7684\u7b2c\u4e00\u5929\u3002<\/li>\n
  3. \u83b7\u53d6\u4e0b\u4e2a\u6708\u7684\u7b2c\u4e00\u5929<\/strong>\uff1a\u901a\u8fc7first_day_of_next_month = first_day_of_month + relativedelta(months=1)<\/code>\uff0c\u6211\u4eec\u5c06\u65e5\u671f\u8c03\u6574\u4e3a\u4e0b\u4e2a\u6708\u7684\u7b2c\u4e00\u5929\u3002<\/li>\n
  4. \u83b7\u53d6\u8be5\u6708\u7684\u6700\u540e\u4e00\u5929<\/strong>\uff1a\u901a\u8fc7last_day_of_month = first_day_of_next_month - relativedelta(days=1)<\/code>\uff0c\u6211\u4eec\u5c06\u65e5\u671f\u8c03\u6574\u4e3a\u8be5\u6708\u7684\u6700\u540e\u4e00\u5929\u3002<\/li>\n<\/ol>\n
    \u8fd9\u4e2a\u6b65\u9aa4\u786e\u4fdd\u4e86\u6211\u4eec\u6b63\u786e\u5904\u7406\u4e86\u6bcf\u4e2a\u6708\u7684\u5929\u6570\uff0c\u5305\u62ec\u95f0\u5e74\u548c\u4e0d\u540c\u6708\u4efd\u7684\u5929\u6570\u3002<\/p>\n<\/p>\n
    \u5b8c\u6574\u4ee3\u7801<\/h3>\n<\/p>\n
    \u4e3a\u4e86\u786e\u4fdd\u4ee3\u7801\u7684\u5b8c\u6574\u6027\u548c\u53ef\u8bfb\u6027\uff0c\u4ee5\u4e0b\u662f\u5b8c\u6574\u7684\u4ee3\u7801\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
    from datetime import datetime<\/p>\n
    from dateutil.relativedelta import relativedelta<\/p>\n
    \u83b7\u53d6\u5f53\u524d\u65e5\u671f<\/strong><\/h2>\n
    current_date = datetime.now()<\/p>\n
    \u5b58\u50a8\u524d\u5341\u4e8c\u4e2a\u6708\u7684\u6708\u5e95\u65e5\u671f<\/strong><\/h2>\n
    end_of_months = []<\/p>\n
    \u83b7\u53d6\u524d\u5341\u4e8c\u4e2a\u6708\u7684\u6708\u5e95\u65e5\u671f<\/strong><\/h2>\n
    for i in range(12):<\/p>\n
        # \u51cf\u53bbi\u4e2a\u6708<\/p>\n
        previous_month = current_date - relativedelta(months=i)<\/p>\n
        # \u83b7\u53d6\u8be5\u6708\u7684\u7b2c\u4e00\u5929<\/p>\n
        first_day_of_month = previous_month.replace(day=1)<\/p>\n
        # \u83b7\u53d6\u4e0b\u4e2a\u6708\u7684\u7b2c\u4e00\u5929<\/p>\n
        first_day_of_next_month = first_day_of_month + relativedelta(months=1)<\/p>\n
        # \u83b7\u53d6\u8be5\u6708\u7684\u6700\u540e\u4e00\u5929<\/p>\n
        last_day_of_month = first_day_of_next_month - relativedelta(days=1)<\/p>\n
        end_of_months.append(last_day_of_month)<\/p>\n
    \u6253\u5370\u524d\u5341\u4e8c\u4e2a\u6708\u7684\u6708\u5e95\u65e5\u671f<\/strong><\/h2>\n
    for date in end_of_months:<\/p>\n
        print(date.strftime("%Y-%m-%d"))<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u4e8c\u3001\u4f7f\u7528\u5faa\u73af\u548c\u6761\u4ef6\u5224\u65ad<\/p>\n<\/p>\n
    \u5728\u4e0a\u8ff0\u65b9\u6cd5\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528\u4e86\u5faa\u73af\u548c\u6761\u4ef6\u5224\u65ad\u6765\u5904\u7406\u4e0d\u540c\u6708\u4efd\u7684\u5929\u6570\u3002\u5c3d\u7ba1dateutil<\/code>\u6a21\u5757\u5df2\u7ecf\u5904\u7406\u4e86\u8bb8\u591a\u590d\u6742\u7684\u65e5\u671f\u8ba1\u7b97\uff0c\u4f46\u7406\u89e3\u8fd9\u4e9b\u57fa\u672c\u6982\u5ff5\u4ecd\u7136\u5f88\u91cd\u8981\u3002<\/p>\n<\/p>\n
    \u5904\u7406\u95f0\u5e74\u548c\u4e0d\u540c\u6708\u4efd\u7684\u5929\u6570<\/h3>\n<\/p>\n
    \u5728\u8ba1\u7b97\u6bcf\u4e2a\u6708\u7684\u6700\u540e\u4e00\u5929\u65f6\uff0c\u6211\u4eec\u9700\u8981\u8003\u8651\u95f0\u5e74\u548c\u4e0d\u540c\u6708\u4efd\u7684\u5929\u6570\u3002\u4f8b\u5982\uff0c2\u6708\u4efd\u5728\u95f0\u5e74\u670929\u5929\uff0c\u800c\u5728\u975e\u95f0\u5e74\u53ea\u670928\u5929\u3002\u5176\u4ed6\u6708\u4efd\u7684\u5929\u6570\u4e5f\u5404\u4e0d\u76f8\u540c\u3002<\/p>\n<\/p>\n
    \u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u4ee3\u7801\u6765\u624b\u52a8\u5904\u7406\u6bcf\u4e2a\u6708\u7684\u5929\u6570\uff1a<\/p>\n<\/p>\n
    from datetime import datetime<\/p>\n
    \u83b7\u53d6\u5f53\u524d\u65e5\u671f<\/strong><\/h2>\n
    current_date = datetime.now()<\/p>\n
    \u5b58\u50a8\u524d\u5341\u4e8c\u4e2a\u6708\u7684\u6708\u5e95\u65e5\u671f<\/strong><\/h2>\n
    end_of_months = []<\/p>\n
    \u6bcf\u4e2a\u6708\u7684\u5929\u6570<\/strong><\/h2>\n
    days_in_month = [31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31]<\/p>\n
    \u83b7\u53d6\u524d\u5341\u4e8c\u4e2a\u6708\u7684\u6708\u5e95\u65e5\u671f<\/strong><\/h2>\n
    for i in range(12):<\/p>\n
        # \u51cf\u53bbi\u4e2a\u6708<\/p>\n
        previous_month = current_date.month - i<\/p>\n
        previous_year = current_date.year<\/p>\n
        # \u8c03\u6574\u5e74\u4efd<\/p>\n
        if previous_month <= 0:<\/p>\n
            previous_month += 12<\/p>\n
            previous_year -= 1<\/p>\n
        # \u5904\u74062\u6708\u4efd\u7684\u95f0\u5e74<\/p>\n
        if previous_month == 2:<\/p>\n
            if (previous_year % 4 == 0 and previous_year % 100 != 0) or (previous_year % 400 == 0):<\/p>\n
                days_in_month[1] = 29<\/p>\n
            else:<\/p>\n
                days_in_month[1] = 28<\/p>\n
        # \u83b7\u53d6\u8be5\u6708\u7684\u6700\u540e\u4e00\u5929<\/p>\n
        last_day_of_month = datetime(previous_year, previous_month, days_in_month[previous_month - 1])<\/p>\n
        end_of_months.append(last_day_of_month)<\/p>\n
    \u6253\u5370\u524d\u5341\u4e8c\u4e2a\u6708\u7684\u6708\u5e95\u65e5\u671f<\/strong><\/h2>\n
    for date in end_of_months:<\/p>\n
        print(date.strftime("%Y-%m-%d"))<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u89e3\u91ca\u6761\u4ef6\u5224\u65ad<\/h3>\n<\/p>\n
    \u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u901a\u8fc7\u4ee5\u4e0b\u6b65\u9aa4\u6765\u5904\u7406\u4e0d\u540c\u6708\u4efd\u7684\u5929\u6570\uff1a<\/p>\n<\/p>\n
      \n
    1. \u8ba1\u7b97\u524di\u4e2a\u6708\u7684\u6708\u4efd\u548c\u5e74\u4efd<\/strong>\uff1a\u901a\u8fc7previous_month = current_date.month - i<\/code>\u548cprevious_year = current_date.year<\/code>\uff0c\u6211\u4eec\u8ba1\u7b97\u524di\u4e2a\u6708\u7684\u6708\u4efd\u548c\u5e74\u4efd\u3002\u5982\u679c\u6708\u4efd\u5c0f\u4e8e\u7b49\u4e8e0\uff0c\u6211\u4eec\u9700\u8981\u8c03\u6574\u5e74\u4efd\u5e76\u5c06\u6708\u4efd\u52a012\u3002<\/li>\n
    2. \u5904\u74062\u6708\u4efd\u7684\u95f0\u5e74<\/strong>\uff1a\u901a\u8fc7\u6761\u4ef6\u5224\u65ad\u6765\u786e\u5b9a\u5f53\u524d\u5e74\u4efd\u662f\u5426\u4e3a\u95f0\u5e74\uff0c\u5e76\u76f8\u5e94\u5730\u8c03\u65742\u6708\u4efd\u7684\u5929\u6570\u3002<\/li>\n
    3. \u83b7\u53d6\u8be5\u6708\u7684\u6700\u540e\u4e00\u5929<\/strong>\uff1a\u901a\u8fc7datetime(previous_year, previous_month, days_in_month[previous_month - 1])<\/code>\uff0c\u6211\u4eec\u83b7\u53d6\u8be5\u6708\u7684\u6700\u540e\u4e00\u5929\u3002<\/li>\n<\/ol>\n
      \u8fd9\u4e2a\u65b9\u6cd5\u867d\u7136\u66f4\u590d\u6742\uff0c\u4f46\u5c55\u793a\u4e86\u624b\u52a8\u5904\u7406\u65e5\u671f\u8ba1\u7b97\u7684\u57fa\u672c\u6982\u5ff5\u3002<\/p>\n<\/p>\n
      \u4e09\u3001\u4f7f\u7528Pandas\u5e93<\/p>\n<\/p>\n
      Pandas\u5e93\u5728\u5904\u7406\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u65b9\u9762\u975e\u5e38\u5f3a\u5927\u3002\u6211\u4eec\u53ef\u4ee5\u5229\u7528Pandas\u5e93\u6765\u7b80\u5316\u65e5\u671f\u8ba1\u7b97\u3002<\/p>\n<\/p>\n
      \u5b89\u88c5Pandas\u5e93<\/h3>\n<\/p>\n
      \u9996\u5148\uff0c\u786e\u4fdd\u5b89\u88c5\u4e86Pandas\u5e93\uff1a<\/p>\n<\/p>\n
      pip install pandas<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u83b7\u53d6\u524d\u5341\u4e8c\u4e2a\u6708\u7684\u6708\u5e95\u65e5\u671f<\/h3>\n<\/p>\n
      \u4ee5\u4e0b\u662f\u4f7f\u7528Pandas\u5e93\u83b7\u53d6\u524d\u5341\u4e8c\u4e2a\u6708\u7684\u6708\u5e95\u65e5\u671f\u7684\u4ee3\u7801\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
      import pandas as pd<\/p>\n
      from datetime import datetime<\/p>\n
      \u83b7\u53d6\u5f53\u524d\u65e5\u671f<\/strong><\/h2>\n
      current_date = datetime.now()<\/p>\n
      \u521b\u5efa\u65e5\u671f\u8303\u56f4<\/strong><\/h2>\n
      date_range = pd.date_range(end=current_date, periods=12, freq='M')<\/p>\n
      \u6253\u5370\u524d\u5341\u4e8c\u4e2a\u6708\u7684\u6708\u5e95\u65e5\u671f<\/strong><\/h2>\n
      for date in date_range:<\/p>\n
          print(date.strftime("%Y-%m-%d"))<\/p>\n
      <\/code><\/pre>\n<\/p>\n
      \u89e3\u91caPandas\u5e93\u7684\u4f7f\u7528<\/h3>\n<\/p>\n
      \u5728\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u901a\u8fc7\u4ee5\u4e0b\u6b65\u9aa4\u6765\u4f7f\u7528Pandas\u5e93\u83b7\u53d6\u524d\u5341\u4e8c\u4e2a\u6708\u7684\u6708\u5e95\u65e5\u671f\uff1a<\/p>\n<\/p>\n
        \n
      1. \u521b\u5efa\u65e5\u671f\u8303\u56f4<\/strong>\uff1a\u901a\u8fc7pd.date_range(end=current_date, periods=12, freq='M')<\/code>\uff0c\u6211\u4eec\u521b\u5efa\u4e86\u4e00\u4e2a\u65e5\u671f\u8303\u56f4\uff0c\u7ed3\u675f\u65e5\u671f\u4e3a\u5f53\u524d\u65e5\u671f\uff0c\u5305\u542b12\u4e2a\u5468\u671f\uff0c\u9891\u7387\u4e3a\u6708\u4efd\u7684\u6700\u540e\u4e00\u5929\u3002<\/li>\n
      2. \u6253\u5370\u65e5\u671f<\/strong>\uff1a\u901a\u8fc7\u5faa\u73af\u904d\u5386\u65e5\u671f\u8303\u56f4\uff0c\u5e76\u4f7f\u7528strftime<\/code>\u683c\u5f0f\u5316\u65e5\u671f\uff0c\u6211\u4eec\u6253\u5370\u4e86\u524d\u5341\u4e8c\u4e2a\u6708\u7684\u6708\u5e95\u65e5\u671f\u3002<\/li>\n<\/ol>\n
        \u5b8c\u6574\u4ee3\u7801\u793a\u4f8b<\/h3>\n<\/p>\n
        \u4e3a\u4e86\u786e\u4fdd\u4ee3\u7801\u7684\u5b8c\u6574\u6027\u548c\u53ef\u8bfb\u6027\uff0c\u4ee5\u4e0b\u662f\u5b8c\u6574\u7684\u4ee3\u7801\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
        import pandas as pd<\/p>\n
        from datetime import datetime<\/p>\n
        \u83b7\u53d6\u5f53\u524d\u65e5\u671f<\/strong><\/h2>\n
        current_date = datetime.now()<\/p>\n
        \u521b\u5efa\u65e5\u671f\u8303\u56f4<\/strong><\/h2>\n
        date_range = pd.date_range(end=current_date, periods=12, freq='M')<\/p>\n
        \u6253\u5370\u524d\u5341\u4e8c\u4e2a\u6708\u7684\u6708\u5e95\u65e5\u671f<\/strong><\/h2>\n
        for date in date_range:<\/p>\n
            print(date.strftime("%Y-%m-%d"))<\/p>\n
        <\/code><\/pre>\n<\/p>\n
        \u56db\u3001\u7efc\u5408\u6bd4\u8f83\u548c\u603b\u7ed3<\/p>\n<\/p>\n
        \u5728\u672c\u6587\u4e2d\uff0c\u6211\u4eec\u4ecb\u7ecd\u4e86\u591a\u79cd\u65b9\u6cd5\u6765\u83b7\u53d6\u524d\u5341\u4e8c\u4e2a\u6708\u7684\u6708\u5e95\u65e5\u671f\uff0c\u5305\u62ec\u4f7f\u7528datetime<\/code>\u548cdateutil<\/code>\u6a21\u5757\u3001\u624b\u52a8\u5904\u7406\u95f0\u5e74\u548c\u4e0d\u540c\u6708\u4efd\u7684\u5929\u6570\u3001\u4ee5\u53ca\u4f7f\u7528Pandas\u5e93\u3002<\/p>\n<\/p>\n
        \u65b9\u6cd5\u6bd4\u8f83<\/h3>\n<\/p>\n
          \n
        1. \u4f7f\u7528datetime<\/code>\u548cdateutil<\/code>\u6a21\u5757<\/strong>\uff1a\u8fd9\u79cd\u65b9\u6cd5\u4ee3\u7801\u7b80\u6d01\uff0c\u9002\u5408\u5904\u7406\u5927\u591a\u6570\u65e5\u671f\u8ba1\u7b97\u95ee\u9898\u3002\u901a\u8fc7relativedelta<\/code>\u6a21\u5757\uff0c\u6211\u4eec\u53ef\u4ee5\u65b9\u4fbf\u5730\u8fdb\u884c\u65e5\u671f\u52a0\u51cf\u64cd\u4f5c\u3002<\/li>\n
        2. \u624b\u52a8\u5904\u7406\u65e5\u671f\u8ba1\u7b97<\/strong>\uff1a\u8fd9\u79cd\u65b9\u6cd5\u867d\u7136\u66f4\u590d\u6742\uff0c\u4f46\u5c55\u793a\u4e86\u57fa\u672c\u7684\u65e5\u671f\u8ba1\u7b97\u6982\u5ff5\uff0c\u9002\u5408\u9700\u8981\u6df1\u5165\u7406\u89e3\u65e5\u671f\u8ba1\u7b97\u539f\u7406\u7684\u573a\u666f\u3002<\/li>\n
        3. \u4f7f\u7528Pandas\u5e93<\/strong>\uff1a\u8fd9\u79cd\u65b9\u6cd5\u4ee3\u7801\u7b80\u6d01\uff0c\u9002\u5408\u5904\u7406\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u3002Pandas\u5e93\u5728\u6570\u636e\u5904\u7406\u65b9\u9762\u975e\u5e38\u5f3a\u5927\uff0c\u53ef\u4ee5\u7b80\u5316\u8bb8\u591a\u590d\u6742\u7684\u64cd\u4f5c\u3002<\/li>\n<\/ol>\n
          \u9009\u62e9\u5efa\u8bae<\/h3>\n<\/p>\n
            \n
          1. \u5982\u679c\u9700\u8981\u5904\u7406\u590d\u6742\u7684\u65e5\u671f\u8ba1\u7b97<\/strong>\uff0c\u5efa\u8bae\u4f7f\u7528datetime<\/code>\u548cdateutil<\/code>\u6a21\u5757\u3002\u8fd9\u4e9b\u6a21\u5757\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u65e5\u671f\u548c\u65f6\u95f4\u5904\u7406\u529f\u80fd\uff0c\u53ef\u4ee5\u7b80\u5316\u4ee3\u7801\u3002<\/li>\n
          2. \u5982\u679c\u9700\u8981\u5904\u7406\u65f6\u95f4\u5e8f\u5217\u6570\u636e<\/strong>\uff0c\u5efa\u8bae\u4f7f\u7528Pandas\u5e93\u3002Pandas\u5e93\u5728\u5904\u7406\u65f6\u95f4\u5e8f\u5217\u6570\u636e\u65b9\u9762\u975e\u5e38\u5f3a\u5927\uff0c\u63d0\u4f9b\u4e86\u8bb8\u591a\u65b9\u4fbf\u7684\u51fd\u6570\u548c\u65b9\u6cd5\u3002<\/li>\n
          3. \u5982\u679c\u9700\u8981\u6df1\u5165\u7406\u89e3\u65e5\u671f\u8ba1\u7b97\u539f\u7406<\/strong>\uff0c\u53ef\u4ee5\u5c1d\u8bd5\u624b\u52a8\u5904\u7406\u65e5\u671f\u8ba1\u7b97\u3002\u8fd9\u79cd\u65b9\u6cd5\u867d\u7136\u66f4\u590d\u6742\uff0c\u4f46\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u66f4\u597d\u5730\u7406\u89e3\u65e5\u671f\u8ba1\u7b97\u7684\u57fa\u672c\u6982\u5ff5\u3002<\/li>\n<\/ol>\n
            \u901a\u8fc7\u672c\u6587\u7684\u4ecb\u7ecd\uff0c\u6211\u4eec\u4e86\u89e3\u4e86\u591a\u79cd\u83b7\u53d6\u524d\u5341\u4e8c\u4e2a\u6708\u5e95\u65e5\u671f\u7684\u65b9\u6cd5\uff0c\u5e76\u8be6\u7ec6\u89e3\u91ca\u4e86\u6bcf\u79cd\u65b9\u6cd5\u7684\u5b9e\u73b0\u6b65\u9aa4\u548c\u9002\u7528\u573a\u666f\u3002\u5e0c\u671b\u8fd9\u4e9b\u5185\u5bb9\u80fd\u5bf9\u4f60\u6709\u6240\u5e2e\u52a9\u3002<\/p>\n<\/p>\n
            \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
             \u5982\u4f55\u4f7f\u7528Python\u83b7\u53d6\u524d\u5341\u4e8c\u4e2a\u6708\u7684\u65e5\u671f\uff1f<\/strong>
            \u4f7f\u7528Python\uff0c\u4f60\u53ef\u4ee5\u5229\u7528datetime<\/code>\u6a21\u5757\u548crelativedelta<\/code>\u5e93\u6765\u8ba1\u7b97\u524d\u5341\u4e8c\u4e2a\u6708\u7684\u6700\u540e\u4e00\u5929\u3002\u9996\u5148\uff0c\u5bfc\u5165\u5fc5\u8981\u7684\u5e93\uff0c\u7136\u540e\u83b7\u53d6\u5f53\u524d\u65e5\u671f\uff0c\u63a5\u7740\u5229\u7528relativedelta<\/code>\u6765\u51cf\u53bb\u76f8\u5e94\u7684\u6708\u4efd\u3002\u8fd9\u6837\u53ef\u4ee5\u7075\u6d3b\u83b7\u53d6\u6bcf\u4e2a\u6708\u7684\u6700\u540e\u4e00\u5929\u3002<\/p>\n
            \u5728Python\u4e2d\uff0c\u5982\u4f55\u683c\u5f0f\u5316\u8f93\u51fa\u6bcf\u4e2a\u6708\u7684\u6700\u540e\u4e00\u5929\uff1f<\/strong>
            \u53ef\u4ee5\u4f7f\u7528strftime<\/code>\u65b9\u6cd5\u6765\u683c\u5f0f\u5316\u65e5\u671f\u3002\u901a\u8fc7datetime<\/code>\u6a21\u5757\u521b\u5efa\u6bcf\u4e2a\u6708\u7684\u65e5\u671f\u5bf9\u8c61\u540e\uff0c\u8c03\u7528strftime<\/code>\u53ef\u4ee5\u5c06\u65e5\u671f\u8f6c\u6362\u4e3a\u4f60\u9700\u8981\u7684\u5b57\u7b26\u4e32\u683c\u5f0f\uff0c\u6bd4\u5982\u201cYYYY-MM-DD\u201d\u3002\u8fd9\u6837\u8f93\u51fa\u5c06\u66f4\u5177\u53ef\u8bfb\u6027\u3002<\/p>\n
            \u662f\u5426\u53ef\u4ee5\u901a\u8fc7Python\u811a\u672c\u81ea\u52a8\u751f\u6210\u524d\u5341\u4e8c\u4e2a\u6708\u5e95\u7684\u65e5\u671f\u5217\u8868\uff1f<\/strong>
            \u5f53\u7136\u53ef\u4ee5\uff01\u4f60\u53ef\u4ee5\u521b\u5efa\u4e00\u4e2a\u51fd\u6570\uff0c\u5faa\u73af\u904d\u5386\u8fc7\u53bb\u7684\u5341\u4e8c\u4e2a\u6708\uff0c\u5e76\u5c06\u6bcf\u4e2a\u6708\u7684\u6700\u540e\u4e00\u5929\u6dfb\u52a0\u5230\u4e00\u4e2a\u5217\u8868\u4e2d\u3002\u5229\u7528calendar<\/code>\u6a21\u5757\u53ef\u4ee5\u5f88\u65b9\u4fbf\u5730\u83b7\u53d6\u6bcf\u4e2a\u6708\u7684\u5929\u6570\uff0c\u4ece\u800c\u51c6\u786e\u627e\u5230\u6700\u540e\u4e00\u5929\u3002\u8fd9\u79cd\u65b9\u6cd5\u7279\u522b\u9002\u5408\u9700\u8981\u5904\u7406\u5927\u91cf\u65e5\u671f\u6570\u636e\u7684\u5e94\u7528\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\u7f16\u5199\u4ee3\u7801\u4ee5\u83b7\u53d6\u524d\u5341\u4e8c\u4e2a\u6708\u7684\u6708\u5e95\u65e5\u671f\uff0c\u53ef\u4ee5\u901a\u8fc7\u591a\u79cd\u65b9\u6cd5\u5b9e\u73b0\uff0c\u4f8b\u5982\uff1a\u4f7f\u7528datetime\u548cdate […]","protected":false},"author":3,"featured_media":1125091,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[37],"tags":[],"acf":[],"_links":{"self":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1125085"}],"collection":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/comments?post=1125085"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1125085\/revisions"}],"predecessor-version":[{"id":1125092,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1125085\/revisions\/1125092"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1125091"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1125085"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1125085"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1125085"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}