{"id":1018858,"date":"2024-12-27T12:47:16","date_gmt":"2024-12-27T04:47:16","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1018858.html"},"modified":"2024-12-27T12:47:53","modified_gmt":"2024-12-27T04:47:53","slug":"%e5%a6%82%e4%bd%95%e5%9c%a8python%e6%89%93%e5%bc%80%e8%a1%a8%e6%a0%bc","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1018858.html","title":{"rendered":"\u5982\u4f55\u5728python\u6253\u5f00\u8868\u683c"},"content":{"rendered":"

\"\u5982\u4f55\u5728python\u6253\u5f00\u8868\u683c\"<\/p>\n

\u8981\u5728Python\u4e2d\u6253\u5f00\u8868\u683c\uff0c\u53ef\u4ee5\u4f7f\u7528\u591a\u4e2a\u5e93\u548c\u65b9\u6cd5\uff0c\u5176\u4e2d\u6700\u5e38\u7528\u7684\u65b9\u6cd5\u662f\u4f7f\u7528pandas\u5e93\u3001openpyxl\u5e93\u3001xlrd\u5e93\u3001csv\u5e93<\/strong>\u3002\u8fd9\u4e9b\u5e93\u63d0\u4f9b\u4e86\u4e0d\u540c\u7684\u529f\u80fd\u6765\u8bfb\u53d6\u548c\u5904\u7406\u8868\u683c\u6570\u636e\u3002\u4f7f\u7528pandas\u5e93\u8bfb\u53d6Excel\u6216CSV\u6587\u4ef6\u662f\u6700\u5e38\u89c1\u548c\u6700\u65b9\u4fbf\u7684\u65b9\u6cd5<\/strong>\uff0c\u56e0\u4e3a\u5b83\u652f\u6301\u591a\u79cd\u683c\u5f0f\uff0c\u5e76\u80fd\u63d0\u4f9b\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u80fd\u529b\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528pandas\u5e93\u6253\u5f00\u548c\u5904\u7406Excel\u6587\u4ef6\u3002<\/p>\n<\/p>\n

\u4e00\u3001PANDAS\u5e93\u8bfb\u53d6Excel\u6587\u4ef6<\/h3>\n<\/p>\n

1. \u5b89\u88c5\u548c\u5bfc\u5165Pandas\u5e93<\/h4>\n<\/p>\n

\u5728\u5f00\u59cb\u4f7f\u7528pandas\u4e4b\u524d\uff0c\u9996\u5148\u9700\u8981\u786e\u4fdd\u4f60\u7684Python\u73af\u5883\u4e2d\u5b89\u88c5\u4e86pandas\u5e93\u3002\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\uff1a<\/p>\n<\/p>\n

pip install pandas<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u5728\u4f60\u7684Python\u811a\u672c\u4e2d\u5bfc\u5165pandas\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u8bfb\u53d6Excel\u6587\u4ef6<\/h4>\n<\/p>\n
Pandas\u63d0\u4f9b\u4e86read_excel<\/code>\u51fd\u6570\u6765\u8bfb\u53d6Excel\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
df = pd.read_excel('file.xlsx')<\/p>\n
<\/code><\/pre>\n<\/p>\n
read_excel<\/code>\u51fd\u6570\u7684\u7b2c\u4e00\u4e2a\u53c2\u6570\u662f\u6587\u4ef6\u8def\u5f84\uff0cpandas\u4f1a\u81ea\u52a8\u68c0\u6d4b\u6587\u4ef6\u7684\u683c\u5f0f\u5e76\u8fdb\u884c\u8bfb\u53d6\u3002\u8bfb\u53d6\u540e\u7684\u6570\u636e\u5b58\u50a8\u5728\u4e00\u4e2aDataFrame\u5bf9\u8c61\u4e2d\uff0c\u8fd9\u662f\u4e00\u79cd\u7c7b\u4f3c\u4e8e\u7535\u5b50\u8868\u683c\u7684\u4e8c\u7ef4\u6570\u636e\u7ed3\u6784\u3002<\/p>\n<\/p>\n
3. \u5904\u7406DataFrame\u6570\u636e<\/h4>\n<\/p>\n
DataFrame\u5bf9\u8c61\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u529f\u80fd\u6765\u5904\u7406\u548c\u5206\u6790\u6570\u636e\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5e38\u7528\u7684\u64cd\u4f5c\uff1a<\/p>\n<\/p>\n
    \n
  • \n
    \u67e5\u770b\u6570\u636e<\/strong>\uff1a\u53ef\u4ee5\u4f7f\u7528head()<\/code>\u65b9\u6cd5\u67e5\u770b\u524d\u51e0\u884c\u6570\u636e\uff0c\u9ed8\u8ba4\u663e\u793a\u524d\u4e94\u884c\u3002<\/p>\n<\/p>\n
    print(df.head())<\/p>\n
    <\/code><\/pre>\n<\/p>\n<\/li>\n
  • \n
    \u9009\u62e9\u5217<\/strong>\uff1a\u53ef\u4ee5\u901a\u8fc7\u5217\u540d\u9009\u62e9\u7279\u5b9a\u7684\u5217\u3002<\/p>\n<\/p>\n
    column_data = df['ColumnName']<\/p>\n
    <\/code><\/pre>\n<\/p>\n<\/li>\n
  • \n
    \u6570\u636e\u8fc7\u6ee4<\/strong>\uff1a\u53ef\u4ee5\u6839\u636e\u6761\u4ef6\u8fc7\u6ee4\u6570\u636e\u3002<\/p>\n<\/p>\n
    filtered_data = df[df['ColumnName'] > 10]<\/p>\n
    <\/code><\/pre>\n<\/p>\n<\/li>\n
  • \n
    \u7edf\u8ba1\u4fe1\u606f<\/strong>\uff1a\u53ef\u4ee5\u4f7f\u7528describe()<\/code>\u65b9\u6cd5\u67e5\u770b\u6570\u636e\u7684\u7edf\u8ba1\u4fe1\u606f\u3002<\/p>\n<\/p>\n
    print(df.describe())<\/p>\n
    <\/code><\/pre>\n<\/p>\n<\/li>\n<\/ul>\n
    4. \u5904\u7406\u591a\u8868\u683c<\/h4>\n<\/p>\n
    \u5982\u679cExcel\u6587\u4ef6\u4e2d\u5305\u542b\u591a\u4e2a\u5de5\u4f5c\u8868\uff0c\u53ef\u4ee5\u901a\u8fc7\u6307\u5b9asheet_name<\/code>\u53c2\u6570\u6765\u8bfb\u53d6\u7279\u5b9a\u7684\u5de5\u4f5c\u8868\uff1a<\/p>\n<\/p>\n
    df_sheet1 = pd.read_excel('file.xlsx', sheet_name='Sheet1')<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u6216\u8005\u8bfb\u53d6\u6240\u6709\u5de5\u4f5c\u8868\uff1a<\/p>\n<\/p>\n
    all_sheets = pd.read_excel('file.xlsx', sheet_name=None)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u8fd9\u5c06\u8fd4\u56de\u4e00\u4e2a\u5b57\u5178\uff0c\u5176\u4e2d\u952e\u662f\u5de5\u4f5c\u8868\u540d\u79f0\uff0c\u503c\u662f\u5bf9\u5e94\u7684DataFrame\u5bf9\u8c61\u3002<\/p>\n<\/p>\n
    \u4e8c\u3001OPENPYXL\u5e93\u8bfb\u53d6\u548c\u5199\u5165Excel\u6587\u4ef6<\/h3>\n<\/p>\n
    1. \u5b89\u88c5\u548c\u5bfc\u5165Openpyxl\u5e93<\/h4>\n<\/p>\n
    Openpyxl\u662f\u4e00\u4e2a\u4e13\u95e8\u7528\u4e8e\u5904\u7406Excel\u6587\u4ef6\u7684\u5e93\uff0c\u5c24\u5176\u9002\u5408\u8bfb\u53d6\u548c\u5199\u5165.xlsx\u683c\u5f0f\u7684\u6587\u4ef6\u3002\u9996\u5148\uff0c\u9700\u8981\u5b89\u88c5openpyxl\u5e93\uff1a<\/p>\n<\/p>\n
    pip install openpyxl<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5bfc\u5165\u5e93\uff1a<\/p>\n<\/p>\n
    from openpyxl import load_workbook<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    2. \u8bfb\u53d6Excel\u6587\u4ef6<\/h4>\n<\/p>\n
    \u4f7f\u7528Openpyxl\u8bfb\u53d6Excel\u6587\u4ef6\u7684\u65b9\u6cd5\u5982\u4e0b\uff1a<\/p>\n<\/p>\n
    wb = load_workbook('file.xlsx')<\/p>\n
    sheet = wb.active  # \u83b7\u53d6\u6d3b\u52a8\u5de5\u4f5c\u8868<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    3. \u8bbf\u95ee\u5355\u5143\u683c\u6570\u636e<\/h4>\n<\/p>\n
    \u53ef\u4ee5\u901a\u8fc7\u884c\u548c\u5217\u7d22\u5f15\u8bbf\u95ee\u5355\u5143\u683c\u6570\u636e\uff1a<\/p>\n<\/p>\n
    cell_value = sheet['A1'].value<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    4. \u5199\u5165Excel\u6587\u4ef6<\/h4>\n<\/p>\n
    Openpyxl\u4e5f\u53ef\u4ee5\u7528\u4e8e\u5199\u5165\u6570\u636e\uff1a<\/p>\n<\/p>\n
    sheet['A1'] = 'New Value'<\/p>\n
    wb.save('file.xlsx')<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u4e09\u3001XLWT\u548cXLRD\u5e93\u5904\u7406Excel\u6587\u4ef6<\/h3>\n<\/p>\n
    1. \u5b89\u88c5\u548c\u5bfc\u5165xlrd\u5e93<\/h4>\n<\/p>\n
    \u5982\u679c\u9700\u8981\u5904\u7406\u65e7\u7248Excel\u6587\u4ef6\uff08.xls\uff09\uff0c\u53ef\u4ee5\u4f7f\u7528xlrd\u5e93\u3002\u5b89\u88c5\u547d\u4ee4\u5982\u4e0b\uff1a<\/p>\n<\/p>\n
    pip install xlrd<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5bfc\u5165\u5e93\uff1a<\/p>\n<\/p>\n
    import xlrd<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    2. \u8bfb\u53d6Excel\u6587\u4ef6<\/h4>\n<\/p>\n
    \u4f7f\u7528xlrd\u8bfb\u53d6Excel\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
    workbook = xlrd.open_workbook('file.xls')<\/p>\n
    sheet = workbook.sheet_by_index(0)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    3. \u8bbf\u95ee\u5355\u5143\u683c\u6570\u636e<\/h4>\n<\/p>\n
    \u53ef\u4ee5\u901a\u8fc7\u884c\u548c\u5217\u7d22\u5f15\u8bbf\u95ee\u5355\u5143\u683c\u6570\u636e\uff1a<\/p>\n<\/p>\n
    cell_value = sheet.cell_value(row, col)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    4. \u5199\u5165Excel\u6587\u4ef6<\/h4>\n<\/p>\n
    \u5982\u679c\u9700\u8981\u5199\u5165.xls\u6587\u4ef6\uff0c\u53ef\u4ee5\u4f7f\u7528xlwt\u5e93\u3002\u9996\u5148\u5b89\u88c5\uff1a<\/p>\n<\/p>\n
    pip install xlwt<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u5bfc\u5165\u5e93\u5e76\u5199\u5165\u6570\u636e\uff1a<\/p>\n<\/p>\n
    import xlwt<\/p>\n
    workbook = xlwt.Workbook()<\/p>\n
    sheet = workbook.add_sheet('Sheet1')<\/p>\n
    sheet.write(0, 0, 'New Value')<\/p>\n
    workbook.save('file.xls')<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u56db\u3001CSV\u5e93\u5904\u7406CSV\u6587\u4ef6<\/h3>\n<\/p>\n
    CSV\u6587\u4ef6\u662f\u4e00\u79cd\u7b80\u5355\u7684\u8868\u683c\u683c\u5f0f\uff0cPython\u7684\u6807\u51c6\u5e93\u4e2d\u5305\u542bcsv\u6a21\u5757\u7528\u4e8e\u5904\u7406\u6b64\u7c7b\u6587\u4ef6\u3002<\/p>\n<\/p>\n
    1. \u8bfb\u53d6CSV\u6587\u4ef6<\/h4>\n<\/p>\n
    \u53ef\u4ee5\u4f7f\u7528csv\u6a21\u5757\u8bfb\u53d6CSV\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
    import csv<\/p>\n
    with open('file.csv', newline='') as csvfile:<\/p>\n
        reader = csv.reader(csvfile)<\/p>\n
        for row in reader:<\/p>\n
            print(row)<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    2. \u5199\u5165CSV\u6587\u4ef6<\/h4>\n<\/p>\n
    \u540c\u6837\uff0c\u53ef\u4ee5\u4f7f\u7528csv\u6a21\u5757\u5199\u5165CSV\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
    with open('file.csv', 'w', newline='') as csvfile:<\/p>\n
        writer = csv.writer(csvfile)<\/p>\n
        writer.writerow(['Column1', 'Column2', 'Column3'])<\/p>\n
        writer.writerow(['Value1', 'Value2', 'Value3'])<\/p>\n
    <\/code><\/pre>\n<\/p>\n
    \u4e94\u3001\u603b\u7ed3\u4e0e\u6700\u4f73\u5b9e\u8df5<\/h3>\n<\/p>\n
    \u5728Python\u4e2d\u5904\u7406\u8868\u683c\u6587\u4ef6\u65f6\uff0c\u9009\u62e9\u5408\u9002\u7684\u5e93\u662f\u5173\u952e\u3002\u5982\u679c\u4e3b\u8981\u5904\u7406Excel\u6587\u4ef6\uff0cpandas\u5e93\u662f\u6700\u4f73\u9009\u62e9\uff0c\u56e0\u4e3a\u5b83\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u529f\u80fd<\/strong>\u3002\u5bf9\u4e8e\u66f4\u590d\u6742\u7684Excel\u64cd\u4f5c\uff0copenpyxl\u4e5f\u662f\u4e00\u4e2a\u4e0d\u9519\u7684\u9009\u62e9\u3002\u5bf9\u4e8e\u65e7\u7248Excel\u6587\u4ef6\uff0cxlrd\u548cxlwt\u4ecd\u7136\u662f\u6709\u7528\u7684\u5de5\u5177\u3002\u5904\u7406CSV\u6587\u4ef6\u65f6\uff0c\u6807\u51c6\u5e93\u7684csv\u6a21\u5757\u5df2\u7ecf\u8db3\u591f\u3002<\/p>\n<\/p>\n
    \u6b64\u5916\uff0c\u5728\u5904\u7406\u5927\u6570\u636e\u6587\u4ef6\u65f6\uff0c\u6ce8\u610f\u5185\u5b58\u5360\u7528\u548c\u5904\u7406\u901f\u5ea6\uff0c\u9009\u62e9\u5408\u9002\u7684\u53c2\u6570\u548c\u65b9\u6cd5\u8fdb\u884c\u6570\u636e\u8bfb\u53d6\u4e0e\u5904\u7406\u3002\u4fdd\u6301\u4ee3\u7801\u7684\u7b80\u6d01\u548c\u53ef\u8bfb\u6027\uff0c\u9075\u5faa\u826f\u597d\u7684\u7f16\u7a0b\u5b9e\u8df5\uff0c\u80fd\u591f\u4f7f\u6570\u636e\u5904\u7406\u4efb\u52a1\u66f4\u52a0\u9ad8\u6548\u548c\u53ef\u9760\u3002<\/p>\n<\/p>\n
    \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
     \u5982\u4f55\u5728Python\u4e2d\u8bfb\u53d6Excel\u6587\u4ef6\uff1f<\/strong>
    \u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528pandas<\/code>\u5e93\u6765\u8bfb\u53d6Excel\u6587\u4ef6\u3002\u9996\u5148\uff0c\u786e\u4fdd\u5df2\u7ecf\u5b89\u88c5\u4e86pandas<\/code>\u548copenpyxl<\/code>\uff08\u7528\u4e8e\u5904\u7406Excel\u6587\u4ef6\uff09\u5e93\u3002\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\u8fd9\u4e24\u4e2a\u5e93\uff1a  <\/p>\n
    pip install pandas openpyxl\n<\/code><\/pre>\n
    \u7136\u540e\uff0c\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u8bfb\u53d6Excel\u6587\u4ef6\uff1a  <\/p>\n
    import pandas as pd\n\n# \u8bfb\u53d6Excel\u6587\u4ef6\ndata = pd.read_excel('your_file.xlsx')\nprint(data)\n<\/code><\/pre>\n
    \u8fd9\u6837\u53ef\u4ee5\u5c06Excel\u6587\u4ef6\u4e2d\u7684\u6570\u636e\u52a0\u8f7d\u5230DataFrame\u4e2d\uff0c\u65b9\u4fbf\u540e\u7eed\u7684\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u3002<\/p>\n
    Python\u4e2d\u5982\u4f55\u6253\u5f00CSV\u6587\u4ef6\uff1f<\/strong>
    \u8981\u5728Python\u4e2d\u6253\u5f00CSV\u6587\u4ef6\uff0c\u540c\u6837\u53ef\u4ee5\u4f7f\u7528pandas<\/code>\u5e93\u3002\u5b89\u88c5\u6b65\u9aa4\u4e0e\u8bfb\u53d6Excel\u6587\u4ef6\u76f8\u540c\u3002\u8bfb\u53d6CSV\u6587\u4ef6\u7684\u4ee3\u7801\u5982\u4e0b\uff1a  <\/p>\n
    import pandas as pd\n\n# \u8bfb\u53d6CSV\u6587\u4ef6\ndata = pd.read_csv('your_file.csv')\nprint(data)\n<\/code><\/pre>\n
    \u8fd9\u79cd\u65b9\u6cd5\u540c\u6837\u4f1a\u5c06CSV\u6587\u4ef6\u4e2d\u7684\u6570\u636e\u52a0\u8f7d\u5230DataFrame\u4e2d\uff0c\u4fbf\u4e8e\u8fdb\u4e00\u6b65\u7684\u64cd\u4f5c\u3002<\/p>\n
    \u5982\u4f55\u5728Python\u4e2d\u5199\u5165\u8868\u683c\u6570\u636e\uff1f<\/strong>
    \u4f7f\u7528pandas<\/code>\u5e93\u4e0d\u4ec5\u53ef\u4ee5\u8bfb\u53d6\u8868\u683c\u6570\u636e\uff0c\u8fd8\u53ef\u4ee5\u5c06\u6570\u636e\u5199\u5165\u5230Excel\u6216CSV\u6587\u4ef6\u4e2d\u3002\u4ee5\u4e0b\u662f\u5199\u5165Excel\u548cCSV\u6587\u4ef6\u7684\u793a\u4f8b\uff1a  <\/p>\n
    # \u5199\u5165Excel\u6587\u4ef6\ndata.to_excel('output.xlsx', index=False)\n\n# \u5199\u5165CSV\u6587\u4ef6\ndata.to_csv('output.csv', index=False)\n<\/code><\/pre>\n
    \u901a\u8fc7\u8fd9\u4e9b\u4ee3\u7801\uff0c\u53ef\u4ee5\u8f7b\u677e\u5730\u5c06\u5904\u7406\u540e\u7684\u6570\u636e\u4fdd\u5b58\u5230\u65b0\u7684\u6587\u4ef6\u4e2d\uff0c\u65b9\u4fbf\u540e\u7eed\u4f7f\u7528\u6216\u5206\u4eab\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u8981\u5728Python\u4e2d\u6253\u5f00\u8868\u683c\uff0c\u53ef\u4ee5\u4f7f\u7528\u591a\u4e2a\u5e93\u548c\u65b9\u6cd5\uff0c\u5176\u4e2d\u6700\u5e38\u7528\u7684\u65b9\u6cd5\u662f\u4f7f\u7528pandas\u5e93\u3001openpyxl\u5e93\u3001x […]","protected":false},"author":3,"featured_media":1018902,"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\/1018858"}],"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=1018858"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1018858\/revisions"}],"predecessor-version":[{"id":1018906,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1018858\/revisions\/1018906"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1018902"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1018858"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1018858"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1018858"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}