{"id":1087109,"date":"2025-01-08T13:32:01","date_gmt":"2025-01-08T05:32:01","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1087109.html"},"modified":"2025-01-08T13:32:04","modified_gmt":"2025-01-08T05:32:04","slug":"python%e4%b8%ad%e5%a6%82%e4%bd%95%e8%af%bb%e5%8f%96xlsx%e6%96%87%e4%bb%b6%e6%95%b0%e6%8d%ae-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1087109.html","title":{"rendered":"python\u4e2d\u5982\u4f55\u8bfb\u53d6xlsx\u6587\u4ef6\u6570\u636e"},"content":{"rendered":"

\"python\u4e2d\u5982\u4f55\u8bfb\u53d6xlsx\u6587\u4ef6\u6570\u636e\"<\/p>\n

\u5728Python\u4e2d\u8bfb\u53d6xlsx\u6587\u4ef6\u6570\u636e\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u4e3b\u8981\u5305\u62ec\u4f7f\u7528pandas\u5e93\u3001openpyxl\u5e93\u3001xlrd\u5e93\u3002<\/strong>\u8fd9\u4e9b\u65b9\u6cd5\u5404\u6709\u4f18\u52a3\uff0c\u5177\u4f53\u4f7f\u7528\u60c5\u51b5\u53d6\u51b3\u4e8e\u9879\u76ee\u9700\u6c42\u548c\u4e2a\u4eba\u4e60\u60ef\u3002\u63a8\u8350\u4f7f\u7528pandas\u5e93\uff0c\u56e0\u4e3a\u5b83\u529f\u80fd\u5f3a\u5927\u4e14\u6613\u4e8e\u4f7f\u7528<\/strong>\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528\u8fd9\u4e9b\u65b9\u6cd5\u6765\u8bfb\u53d6xlsx\u6587\u4ef6\u6570\u636e\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528pandas\u5e93<\/h3>\n<\/p>\n

pandas\u662fPython\u4e2d\u5904\u7406\u6570\u636e\u7684\u5f3a\u5927\u5e93\uff0c\u652f\u6301\u8bfb\u53d6\u548c\u5904\u7406\u591a\u79cd\u683c\u5f0f\u7684\u6570\u636e\u6587\u4ef6\uff0c\u5305\u62ecxlsx\u6587\u4ef6\u3002\u4f7f\u7528pandas\u8bfb\u53d6xlsx\u6587\u4ef6\u975e\u5e38\u7b80\u5355\uff0c\u53ea\u9700\u8981\u51e0\u884c\u4ee3\u7801\u3002<\/p>\n<\/p>\n

1. \u5b89\u88c5pandas\u5e93<\/h4>\n<\/p>\n

\u9996\u5148\uff0c\u786e\u4fdd\u5df2\u7ecf\u5b89\u88c5\u4e86pandas\u5e93\u3002\u5982\u679c\u6ca1\u6709\u5b89\u88c5\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n

pip install pandas<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u8bfb\u53d6xlsx\u6587\u4ef6<\/h4>\n<\/p>\n
\u4f7f\u7528pandas\u8bfb\u53d6xlsx\u6587\u4ef6\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528pandas.read_excel()<\/code>\u51fd\u6570\u3002\u6b64\u51fd\u6570\u652f\u6301\u591a\u79cd\u53c2\u6570\uff0c\u53ef\u4ee5\u6839\u636e\u9700\u8981\u8fdb\u884c\u914d\u7f6e\u3002<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u8bfb\u53d6xlsx\u6587\u4ef6<\/strong><\/h2>\n
df = pd.read_excel('example.xlsx')<\/p>\n
\u663e\u793a\u6570\u636e\u6846\u7684\u524d\u51e0\u884c<\/strong><\/h2>\n
print(df.head())<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528openpyxl\u5e93<\/h3>\n<\/p>\n
openpyxl\u5e93\u4e13\u95e8\u7528\u4e8e\u8bfb\u53d6\u548c\u5199\u5165Excel\u6587\u4ef6\uff0c\u5c24\u5176\u9002\u7528\u4e8e\u9700\u8981\u5bf9Excel\u6587\u4ef6\u8fdb\u884c\u590d\u6742\u64cd\u4f5c\u7684\u60c5\u51b5\u3002<\/p>\n<\/p>\n
1. \u5b89\u88c5openpyxl\u5e93<\/h4>\n<\/p>\n
\u5982\u679c\u6ca1\u6709\u5b89\u88c5openpyxl\u5e93\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n
pip install openpyxl<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u8bfb\u53d6xlsx\u6587\u4ef6<\/h4>\n<\/p>\n
\u4f7f\u7528openpyxl\u8bfb\u53d6xlsx\u6587\u4ef6\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7openpyxl.load_workbook()<\/code>\u51fd\u6570\u52a0\u8f7d\u5de5\u4f5c\u7c3f\uff0c\u7136\u540e\u901a\u8fc7\u5de5\u4f5c\u8868\u5bf9\u8c61\u8fdb\u884c\u6570\u636e\u8bfb\u53d6\u3002<\/p>\n<\/p>\n
from openpyxl import load_workbook<\/p>\n
\u52a0\u8f7d\u5de5\u4f5c\u7c3f<\/strong><\/h2>\n
workbook = load_workbook('example.xlsx')<\/p>\n
\u9009\u62e9\u5de5\u4f5c\u8868<\/strong><\/h2>\n
sheet = workbook.active<\/p>\n
\u8bfb\u53d6\u6307\u5b9a\u5355\u5143\u683c\u7684\u6570\u636e<\/strong><\/h2>\n
data = sheet['A1'].value<\/p>\n
print(data)<\/p>\n
\u8bfb\u53d6\u6574\u884c\u6216\u6574\u5217\u7684\u6570\u636e<\/strong><\/h2>\n
row_data = [cell.value for cell in sheet[1]]<\/p>\n
col_data = [cell.value for cell in sheet['A']]<\/p>\n
print(row_data)<\/p>\n
print(col_data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u4f7f\u7528xlrd\u5e93<\/h3>\n<\/p>\n
xlrd\u5e93\u4e5f\u662f\u4e00\u4e2a\u5e38\u7528\u7684Excel\u6587\u4ef6\u8bfb\u53d6\u5e93\uff0c\u4f46\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c\u4ece2020\u5e7412\u6708\u8d77\uff0cxlrd\u5e93\u4e0d\u518d\u652f\u6301xlsx\u6587\u4ef6\u7684\u8bfb\u53d6\u3002\u5982\u679c\u9700\u8981\u8bfb\u53d6xls\u6587\u4ef6\uff0c\u53ef\u4ee5\u7ee7\u7eed\u4f7f\u7528xlrd\u5e93\u3002<\/p>\n<\/p>\n
1. \u5b89\u88c5xlrd\u5e93<\/h4>\n<\/p>\n
\u5982\u679c\u6ca1\u6709\u5b89\u88c5xlrd\u5e93\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u8fdb\u884c\u5b89\u88c5\uff1a<\/p>\n<\/p>\n
pip install xlrd<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u8bfb\u53d6xls\u6587\u4ef6<\/h4>\n<\/p>\n
\u4f7f\u7528xlrd\u8bfb\u53d6xls\u6587\u4ef6\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7xlrd.open_workbook()<\/code>\u51fd\u6570\u52a0\u8f7d\u5de5\u4f5c\u7c3f\uff0c\u7136\u540e\u901a\u8fc7\u5de5\u4f5c\u8868\u5bf9\u8c61\u8fdb\u884c\u6570\u636e\u8bfb\u53d6\u3002<\/p>\n<\/p>\n
import xlrd<\/p>\n
\u52a0\u8f7d\u5de5\u4f5c\u7c3f<\/strong><\/h2>\n
workbook = xlrd.open_workbook('example.xls')<\/p>\n
\u9009\u62e9\u5de5\u4f5c\u8868<\/strong><\/h2>\n
sheet = workbook.sheet_by_index(0)<\/p>\n
\u8bfb\u53d6\u6307\u5b9a\u5355\u5143\u683c\u7684\u6570\u636e<\/strong><\/h2>\n
data = sheet.cell_value(0, 0)<\/p>\n
print(data)<\/p>\n
\u8bfb\u53d6\u6574\u884c\u6216\u6574\u5217\u7684\u6570\u636e<\/strong><\/h2>\n
row_data = sheet.row_values(0)<\/p>\n
col_data = sheet.col_values(0)<\/p>\n
print(row_data)<\/p>\n
print(col_data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001pandas\u5e93\u7684\u9ad8\u7ea7\u7528\u6cd5<\/h3>\n<\/p>\n
\u9664\u4e86\u57fa\u672c\u7684\u8bfb\u53d6\u529f\u80fd\uff0cpandas\u8fd8\u63d0\u4f9b\u4e86\u8bb8\u591a\u9ad8\u7ea7\u529f\u80fd\uff0c\u53ef\u4ee5\u5bf9Excel\u6587\u4ef6\u8fdb\u884c\u66f4\u590d\u6742\u7684\u6570\u636e\u64cd\u4f5c\u3002<\/p>\n<\/p>\n
1. \u8bfb\u53d6\u6307\u5b9a\u5de5\u4f5c\u8868<\/h4>\n<\/p>\n
\u5982\u679cExcel\u6587\u4ef6\u5305\u542b\u591a\u4e2a\u5de5\u4f5c\u8868\uff0c\u53ef\u4ee5\u901a\u8fc7sheet_name<\/code>\u53c2\u6570\u6307\u5b9a\u8981\u8bfb\u53d6\u7684\u5de5\u4f5c\u8868\u3002<\/p>\n<\/p>\n
df = pd.read_excel('example.xlsx', sheet_name='Sheet2')<\/p>\n
print(df.head())<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u8bfb\u53d6\u6307\u5b9a\u5217<\/h4>\n<\/p>\n
\u5982\u679c\u53ea\u9700\u8981\u8bfb\u53d6\u7279\u5b9a\u7684\u5217\uff0c\u53ef\u4ee5\u901a\u8fc7usecols<\/code>\u53c2\u6570\u6307\u5b9a\u5217\u540d\u6216\u5217\u7d22\u5f15\u3002<\/p>\n<\/p>\n
df = pd.read_excel('example.xlsx', usecols=['A', 'C'])<\/p>\n
print(df.head())<\/p>\n
<\/code><\/pre>\n<\/p>\n
3. \u5904\u7406\u7f3a\u5931\u503c<\/h4>\n<\/p>\n
\u5728\u8bfb\u53d6Excel\u6587\u4ef6\u65f6\uff0c\u53ef\u80fd\u4f1a\u9047\u5230\u7f3a\u5931\u503c\u3002pandas\u63d0\u4f9b\u4e86\u591a\u79cd\u65b9\u6cd5\u6765\u5904\u7406\u7f3a\u5931\u503c\uff0c\u53ef\u4ee5\u4f7f\u7528dropna()<\/code>\u51fd\u6570\u5220\u9664\u5305\u542b\u7f3a\u5931\u503c\u7684\u884c\u6216\u5217\uff0c\u4e5f\u53ef\u4ee5\u4f7f\u7528fillna()<\/code>\u51fd\u6570\u586b\u5145\u7f3a\u5931\u503c\u3002<\/p>\n<\/p>\n
df = pd.read_excel('example.xlsx')<\/p>\n
\u5220\u9664\u5305\u542b\u7f3a\u5931\u503c\u7684\u884c<\/strong><\/h2>\n
df_cleaned = df.dropna()<\/p>\n
print(df_cleaned.head())<\/p>\n
\u586b\u5145\u7f3a\u5931\u503c<\/strong><\/h2>\n
df_filled = df.fillna(0)<\/p>\n
print(df_filled.head())<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001openpyxl\u5e93\u7684\u9ad8\u7ea7\u7528\u6cd5<\/h3>\n<\/p>\n
openpyxl\u4e0d\u4ec5\u53ef\u4ee5\u8bfb\u53d6Excel\u6587\u4ef6\uff0c\u8fd8\u53ef\u4ee5\u5bf9Excel\u6587\u4ef6\u8fdb\u884c\u4fee\u6539\u548c\u4fdd\u5b58\u3002<\/p>\n<\/p>\n
1. \u4fee\u6539\u5355\u5143\u683c\u6570\u636e<\/h4>\n<\/p>\n
\u53ef\u4ee5\u901a\u8fc7\u5355\u5143\u683c\u5bf9\u8c61\u4fee\u6539\u6307\u5b9a\u5355\u5143\u683c\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n
from openpyxl import load_workbook<\/p>\n
\u52a0\u8f7d\u5de5\u4f5c\u7c3f<\/strong><\/h2>\n
workbook = load_workbook('example.xlsx')<\/p>\n
\u9009\u62e9\u5de5\u4f5c\u8868<\/strong><\/h2>\n
sheet = workbook.active<\/p>\n
\u4fee\u6539\u5355\u5143\u683c\u6570\u636e<\/strong><\/h2>\n
sheet['A1'].value = 'New Value'<\/p>\n
\u4fdd\u5b58\u5de5\u4f5c\u7c3f<\/strong><\/h2>\n
workbook.save('example_modified.xlsx')<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u6dfb\u52a0\u65b0\u884c\u6216\u65b0\u5217<\/h4>\n<\/p>\n
\u53ef\u4ee5\u901a\u8fc7append()<\/code>\u65b9\u6cd5\u6dfb\u52a0\u65b0\u884c\u6216\u65b0\u5217\u3002<\/p>\n<\/p>\n
from openpyxl import load_workbook<\/p>\n
\u52a0\u8f7d\u5de5\u4f5c\u7c3f<\/strong><\/h2>\n
workbook = load_workbook('example.xlsx')<\/p>\n
\u9009\u62e9\u5de5\u4f5c\u8868<\/strong><\/h2>\n
sheet = workbook.active<\/p>\n
\u6dfb\u52a0\u65b0\u884c<\/strong><\/h2>\n
new_row = [1, 2, 3, 4, 5]<\/p>\n
sheet.append(new_row)<\/p>\n
\u4fdd\u5b58\u5de5\u4f5c\u7c3f<\/strong><\/h2>\n
workbook.save('example_modified.xlsx')<\/p>\n
<\/code><\/pre>\n<\/p>\n
3. \u5408\u5e76\u548c\u62c6\u5206\u5355\u5143\u683c<\/h4>\n<\/p>\n
\u53ef\u4ee5\u901a\u8fc7merge_cells()<\/code>\u548cunmerge_cells()<\/code>\u65b9\u6cd5\u5408\u5e76\u548c\u62c6\u5206\u5355\u5143\u683c\u3002<\/p>\n<\/p>\n
from openpyxl import load_workbook<\/p>\n
\u52a0\u8f7d\u5de5\u4f5c\u7c3f<\/strong><\/h2>\n
workbook = load_workbook('example.xlsx')<\/p>\n
\u9009\u62e9\u5de5\u4f5c\u8868<\/strong><\/h2>\n
sheet = workbook.active<\/p>\n
\u5408\u5e76\u5355\u5143\u683c<\/strong><\/h2>\n
sheet.merge_cells('A1:D1')<\/p>\n
\u62c6\u5206\u5355\u5143\u683c<\/strong><\/h2>\n
sheet.unmerge_cells('A1:D1')<\/p>\n
\u4fdd\u5b58\u5de5\u4f5c\u7c3f<\/strong><\/h2>\n
workbook.save('example_modified.xlsx')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516d\u3001xlrd\u5e93\u7684\u9ad8\u7ea7\u7528\u6cd5<\/h3>\n<\/p>\n
\u5c3d\u7ba1xlrd\u5e93\u4e0d\u518d\u652f\u6301xlsx\u6587\u4ef6\uff0c\u4f46\u5bf9\u4e8e\u5904\u7406xls\u6587\u4ef6\u4ecd\u7136\u5177\u6709\u4e00\u5b9a\u7684\u4f18\u52bf\u3002<\/p>\n<\/p>\n
1. \u83b7\u53d6\u5de5\u4f5c\u8868\u540d\u79f0<\/h4>\n<\/p>\n
\u53ef\u4ee5\u901a\u8fc7sheet_names()<\/code>\u65b9\u6cd5\u83b7\u53d6\u5de5\u4f5c\u7c3f\u4e2d\u7684\u6240\u6709\u5de5\u4f5c\u8868\u540d\u79f0\u3002<\/p>\n<\/p>\n
import xlrd<\/p>\n
\u52a0\u8f7d\u5de5\u4f5c\u7c3f<\/strong><\/h2>\n
workbook = xlrd.open_workbook('example.xls')<\/p>\n
\u83b7\u53d6\u5de5\u4f5c\u8868\u540d\u79f0<\/strong><\/h2>\n
sheet_names = workbook.sheet_names()<\/p>\n
print(sheet_names)<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u8bfb\u53d6\u591a\u4e2a\u5de5\u4f5c\u8868<\/h4>\n<\/p>\n
\u53ef\u4ee5\u901a\u8fc7\u5de5\u4f5c\u8868\u540d\u79f0\u6216\u7d22\u5f15\u8bfb\u53d6\u591a\u4e2a\u5de5\u4f5c\u8868\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n
import xlrd<\/p>\n
\u52a0\u8f7d\u5de5\u4f5c\u7c3f<\/strong><\/h2>\n
workbook = xlrd.open_workbook('example.xls')<\/p>\n
\u8bfb\u53d6\u591a\u4e2a\u5de5\u4f5c\u8868<\/strong><\/h2>\n
sheet1 = workbook.sheet_by_name('Sheet1')<\/p>\n
sheet2 = workbook.sheet_by_index(1)<\/p>\n
\u83b7\u53d6\u6570\u636e<\/strong><\/h2>\n
data1 = sheet1.cell_value(0, 0)<\/p>\n
data2 = sheet2.cell_value(0, 0)<\/p>\n
print(data1)<\/p>\n
print(data2)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e03\u3001\u7efc\u5408\u5bf9\u6bd4\u548c\u5efa\u8bae<\/h3>\n<\/p>\n
\u5728\u9009\u62e9\u8bfb\u53d6xlsx\u6587\u4ef6\u6570\u636e\u7684\u65b9\u6cd5\u65f6\uff0c\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u9700\u6c42\u8fdb\u884c\u9009\u62e9\uff1a<\/p>\n<\/p>\n
    \n
  1. pandas\u5e93<\/strong>\uff1a\u9002\u7528\u4e8e\u9700\u8981\u8fdb\u884c\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u7684\u573a\u666f\uff0c\u529f\u80fd\u5f3a\u5927\u4e14\u6613\u4e8e\u4f7f\u7528\u3002<\/li>\n
  2. openpyxl\u5e93<\/strong>\uff1a\u9002\u7528\u4e8e\u9700\u8981\u5bf9Excel\u6587\u4ef6\u8fdb\u884c\u590d\u6742\u64cd\u4f5c\u7684\u573a\u666f\uff0c\u5982\u4fee\u6539\u5355\u5143\u683c\u6570\u636e\u3001\u6dfb\u52a0\u65b0\u884c\u6216\u65b0\u5217\u7b49\u3002<\/li>\n
  3. xlrd\u5e93<\/strong>\uff1a\u9002\u7528\u4e8e\u5904\u7406xls\u6587\u4ef6\u7684\u573a\u666f\uff0c\u5c3d\u7ba1\u4e0d\u518d\u652f\u6301xlsx\u6587\u4ef6\uff0c\u4f46\u5bf9\u4e8e\u5904\u7406xls\u6587\u4ef6\u4ecd\u7136\u5177\u6709\u4e00\u5b9a\u7684\u4f18\u52bf\u3002<\/li>\n<\/ol>\n
    \u7efc\u5408\u8003\u8651\uff0c\u63a8\u8350\u4f7f\u7528pandas\u5e93<\/strong>\uff0c\u56e0\u4e3a\u5b83\u4e0d\u4ec5\u652f\u6301\u8bfb\u53d6xlsx\u6587\u4ef6\uff0c\u8fd8\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6570\u636e\u5904\u7406\u529f\u80fd\uff0c\u80fd\u591f\u6ee1\u8db3\u5927\u591a\u6570\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u9700\u6c42\u3002<\/p>\n<\/p>\n
    \u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
     \u5982\u4f55\u4f7f\u7528Python\u8bfb\u53d6xlsx\u6587\u4ef6\u4e2d\u7684\u7279\u5b9a\u5217\u6570\u636e\uff1f<\/strong>
    \u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528pandas<\/code>\u5e93\u6765\u8bfb\u53d6xlsx\u6587\u4ef6\u7684\u7279\u5b9a\u5217\u6570\u636e\u3002\u9996\u5148\uff0c\u786e\u4fdd\u5df2\u7ecf\u5b89\u88c5\u4e86pandas<\/code>\u548copenpyxl<\/code>\u5e93\u3002\u901a\u8fc7pd.read_excel('\u6587\u4ef6\u8def\u5f84', usecols=['\u5217\u540d'])<\/code>\u53ef\u4ee5\u8bfb\u53d6\u6307\u5b9a\u7684\u5217\u3002\u8fd9\u6837\uff0c\u4f60\u5c31\u53ef\u4ee5\u8f7b\u677e\u8bbf\u95ee\u4f60\u6240\u9700\u7684\u6570\u636e\u3002<\/p>\n
    \u8bfb\u53d6xlsx\u6587\u4ef6\u65f6\uff0c\u5982\u4f55\u5904\u7406\u7a7a\u503c\u6216\u7f3a\u5931\u6570\u636e\uff1f<\/strong>
    \u5728\u4f7f\u7528pandas<\/code>\u8bfb\u53d6xlsx\u6587\u4ef6\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528DataFrame.fillna()<\/code>\u65b9\u6cd5\u6765\u5904\u7406\u7f3a\u5931\u6570\u636e\u3002\u4f60\u53ef\u4ee5\u9009\u62e9\u7528\u7279\u5b9a\u503c\u586b\u5145\u7a7a\u503c\uff0c\u6216\u4f7f\u7528DataFrame.dropna()<\/code>\u65b9\u6cd5\u5220\u9664\u5305\u542b\u7a7a\u503c\u7684\u884c\u3002\u8fd9\u4e9b\u64cd\u4f5c\u53ef\u4ee5\u5e2e\u52a9\u4f60\u6e05\u7406\u6570\u636e\uff0c\u4f7f\u540e\u7eed\u5206\u6790\u66f4\u52a0\u51c6\u786e\u548c\u6709\u6548\u3002<\/p>\n
    \u4f7f\u7528Python\u8bfb\u53d6xlsx\u6587\u4ef6\u65f6\uff0c\u5982\u4f55\u63d0\u9ad8\u8bfb\u53d6\u901f\u5ea6\uff1f<\/strong>
    \u5982\u679c\u4f60\u7684xlsx\u6587\u4ef6\u5f88\u5927\uff0c\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6epd.read_excel()<\/code>\u4e2d\u7684dtype<\/code>\u53c2\u6570\u6765\u6307\u5b9a\u6570\u636e\u7c7b\u578b\uff0c\u4ece\u800c\u63d0\u9ad8\u8bfb\u53d6\u901f\u5ea6\u3002\u6b64\u5916\uff0c\u4f7f\u7528usecols<\/code>\u53c2\u6570\u9009\u62e9\u9700\u8981\u8bfb\u53d6\u7684\u5217\uff0c\u4e5f\u53ef\u4ee5\u663e\u8457\u51cf\u5c11\u5185\u5b58\u5360\u7528\u548c\u63d0\u9ad8\u5904\u7406\u901f\u5ea6\u3002\u4f7f\u7528\u8fd9\u4e9b\u6280\u5de7\uff0c\u53ef\u4ee5\u5728\u5904\u7406\u5927\u6570\u636e\u96c6\u65f6\u63d0\u5347\u6027\u80fd\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\u8bfb\u53d6xlsx\u6587\u4ef6\u6570\u636e\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u4e3b\u8981\u5305\u62ec\u4f7f\u7528pandas\u5e93\u3001openpyxl\u5e93\u3001xlrd\u5e93\u3002 […]","protected":false},"author":3,"featured_media":1087121,"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\/1087109"}],"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=1087109"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1087109\/revisions"}],"predecessor-version":[{"id":1087124,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1087109\/revisions\/1087124"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1087121"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1087109"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1087109"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1087109"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}