{"id":1162359,"date":"2025-01-13T19:27:40","date_gmt":"2025-01-13T11:27:40","guid":{"rendered":""},"modified":"2025-01-13T19:27:43","modified_gmt":"2025-01-13T11:27:43","slug":"python%e5%a6%82%e4%bd%95%e5%8f%96%e5%be%97%e5%8d%95%e5%85%83%e6%a0%bc","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1162359.html","title":{"rendered":"python\u5982\u4f55\u53d6\u5f97\u5355\u5143\u683c"},"content":{"rendered":"

\"python\u5982\u4f55\u53d6\u5f97\u5355\u5143\u683c\"<\/p>\n

\u8981\u5728Python\u4e2d\u53d6\u5f97\u5355\u5143\u683c\u7684\u5185\u5bb9\uff0c\u53ef\u4ee5\u4f7f\u7528\u591a\u4e2a\u5e93\uff0c\u5982openpyxl\u3001pandas\u3001xlrd<\/strong>\u7b49\u3002\u5176\u4e2d\uff0copenpyxl\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u5e93\uff0c\u7279\u522b\u9002\u7528\u4e8e\u5904\u7406Excel\u6587\u4ef6\u3002\u901a\u8fc7\u5bfc\u5165openpyxl\u5e93\uff0c\u53ef\u4ee5\u8f7b\u677e\u8bbf\u95eeExcel\u6587\u4ef6\u7684\u5355\u5143\u683c\u5185\u5bb9<\/strong>\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u8be6\u7ec6\u7684\u793a\u4f8b\uff0c\u8bf4\u660e\u5982\u4f55\u4f7f\u7528openpyxl\u5e93\u6765\u53d6\u5f97\u5355\u5143\u683c\u7684\u5185\u5bb9\u3002<\/p>\n<\/p>\n

\u4f7f\u7528openpyxl\u5e93\u8bfb\u53d6\u5355\u5143\u683c\u5185\u5bb9<\/h3>\n<\/p>\n

\u5b89\u88c5openpyxl\u5e93<\/h4>\n<\/p>\n

\u9996\u5148\uff0c\u786e\u4fdd\u4f60\u5df2\u7ecf\u5b89\u88c5\u4e86openpyxl\u5e93\u3002\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\uff1a<\/p>\n<\/p>\n

pip install openpyxl<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u6253\u5f00Excel\u6587\u4ef6<\/h4>\n<\/p>\n
\u4f7f\u7528openpyxl\u5e93\u6253\u5f00\u4e00\u4e2aExcel\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
import openpyxl<\/p>\n
\u6253\u5f00Excel\u6587\u4ef6<\/strong><\/h2>\n
workbook = openpyxl.load_workbook('example.xlsx')<\/p>\n
\u9009\u62e9\u5de5\u4f5c\u8868<\/strong><\/h2>\n
sheet = workbook.active<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8bfb\u53d6\u5355\u5143\u683c\u5185\u5bb9<\/h4>\n<\/p>\n
\u4f60\u53ef\u4ee5\u901a\u8fc7\u6307\u5b9a\u884c\u548c\u5217\u6765\u8bfb\u53d6\u5355\u5143\u683c\u7684\u5185\u5bb9\u3002\u4f8b\u5982\uff0c\u8bfb\u53d6A1\u5355\u5143\u683c\u7684\u5185\u5bb9\uff1a<\/p>\n<\/p>\n
# \u8bfb\u53d6A1\u5355\u5143\u683c\u7684\u5185\u5bb9<\/p>\n
cell_value = sheet['A1'].value<\/p>\n
print(cell_value)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4f7f\u7528pandas\u5e93\u8bfb\u53d6\u5355\u5143\u683c\u5185\u5bb9<\/h3>\n<\/p>\n
\u5b89\u88c5pandas\u5e93<\/h4>\n<\/p>\n
\u786e\u4fdd\u4f60\u5df2\u7ecf\u5b89\u88c5\u4e86pandas\u5e93\u3002\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\uff1a<\/p>\n<\/p>\n
pip install pandas<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4f7f\u7528pandas\u8bfb\u53d6Excel\u6587\u4ef6<\/h4>\n<\/p>\n
pandas\u5e93\u63d0\u4f9b\u4e86\u66f4\u52a0\u7b80\u6d01\u7684\u63a5\u53e3\u6765\u8bfb\u53d6Excel\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/h2>\n
df = pd.read_excel('example.xlsx')<\/p>\n
\u8bfb\u53d6\u7279\u5b9a\u5355\u5143\u683c\u7684\u5185\u5bb9<\/strong><\/h2>\n
cell_value = df.at[0, 'A']<\/p>\n
print(cell_value)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4f7f\u7528xlrd\u5e93\u8bfb\u53d6\u5355\u5143\u683c\u5185\u5bb9<\/h3>\n<\/p>\n
\u5b89\u88c5xlrd\u5e93<\/h4>\n<\/p>\n
\u786e\u4fdd\u4f60\u5df2\u7ecf\u5b89\u88c5\u4e86xlrd\u5e93\u3002\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\uff1a<\/p>\n<\/p>\n
pip install xlrd<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4f7f\u7528xlrd\u8bfb\u53d6Excel\u6587\u4ef6<\/h4>\n<\/p>\n
\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff0c\u8bf4\u660e\u5982\u4f55\u4f7f\u7528xlrd\u5e93\u8bfb\u53d6\u5355\u5143\u683c\u5185\u5bb9\uff1a<\/p>\n<\/p>\n
import xlrd<\/p>\n
\u6253\u5f00Excel\u6587\u4ef6<\/strong><\/h2>\n
workbook = xlrd.open_workbook('example.xlsx')<\/p>\n
\u9009\u62e9\u5de5\u4f5c\u8868<\/strong><\/h2>\n
sheet = workbook.sheet_by_index(0)<\/p>\n
\u8bfb\u53d6\u5355\u5143\u683c\u5185\u5bb9<\/strong><\/h2>\n
cell_value = sheet.cell_value(0, 0)<\/p>\n
print(cell_value)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e00\u3001openpyxl\u5e93\u7684\u8be6\u7ec6\u7528\u6cd5<\/h2>\n<\/p>\n
1. \u5b89\u88c5\u548c\u5bfc\u5165openpyxl\u5e93<\/h3>\n<\/p>\n
openpyxl\u662f\u4e00\u4e2aPython\u5e93\uff0c\u7528\u4e8e\u8bfb\u53d6\u3001\u5199\u5165\u548c\u64cd\u4f5cExcel\u6587\u4ef6\u3002\u9996\u5148\uff0c\u4f60\u9700\u8981\u786e\u4fdd\u5df2\u7ecf\u5b89\u88c5\u4e86openpyxl\u5e93\u3002\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
\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u4ee3\u7801\u5bfc\u5165\u5e93\uff1a<\/p>\n<\/p>\n
import openpyxl<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u6253\u5f00Excel\u6587\u4ef6<\/h3>\n<\/p>\n
\u8981\u4f7f\u7528openpyxl\u6253\u5f00\u4e00\u4e2aExcel\u6587\u4ef6\uff0c\u4f60\u9700\u8981\u4f7f\u7528load_workbook<\/code>\u51fd\u6570\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
import openpyxl<\/p>\n
\u6253\u5f00Excel\u6587\u4ef6<\/strong><\/h2>\n
workbook = openpyxl.load_workbook('example.xlsx')<\/p>\n
<\/code><\/pre>\n<\/p>\n
3. \u9009\u62e9\u5de5\u4f5c\u8868<\/h3>\n<\/p>\n
\u5728\u6253\u5f00Excel\u6587\u4ef6\u540e\uff0c\u4f60\u9700\u8981\u9009\u62e9\u4e00\u4e2a\u5de5\u4f5c\u8868\u3002\u53ef\u4ee5\u4f7f\u7528active<\/code>\u5c5e\u6027\u9009\u62e9\u5f53\u524d\u6d3b\u52a8\u7684\u5de5\u4f5c\u8868\uff0c\u6216\u8005\u4f7f\u7528sheetnames<\/code>\u5c5e\u6027\u83b7\u53d6\u6240\u6709\u5de5\u4f5c\u8868\u7684\u540d\u79f0\uff0c\u5e76\u4f7f\u7528get_sheet_by_name<\/code>\u65b9\u6cd5\u9009\u62e9\u7279\u5b9a\u7684\u5de5\u4f5c\u8868\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
# \u9009\u62e9\u6d3b\u52a8\u7684\u5de5\u4f5c\u8868<\/p>\n
sheet = workbook.active<\/p>\n
\u6216\u8005\u9009\u62e9\u7279\u5b9a\u7684\u5de5\u4f5c\u8868<\/strong><\/h2>\n
sheet = workbook.get_sheet_by_name('Sheet1')<\/strong><\/h2>\n
<\/code><\/pre>\n<\/p>\n
4. \u8bfb\u53d6\u5355\u5143\u683c\u5185\u5bb9<\/h3>\n<\/p>\n
\u4e00\u65e6\u9009\u62e9\u4e86\u5de5\u4f5c\u8868\uff0c\u4f60\u53ef\u4ee5\u901a\u8fc7\u6307\u5b9a\u884c\u548c\u5217\u6765\u8bfb\u53d6\u5355\u5143\u683c\u7684\u5185\u5bb9\u3002\u4f8b\u5982\uff0c\u8bfb\u53d6A1\u5355\u5143\u683c\u7684\u5185\u5bb9\uff1a<\/p>\n<\/p>\n
# \u8bfb\u53d6A1\u5355\u5143\u683c\u7684\u5185\u5bb9<\/p>\n
cell_value = sheet['A1'].value<\/p>\n
print(cell_value)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4f60\u8fd8\u53ef\u4ee5\u4f7f\u7528cell<\/code>\u65b9\u6cd5\u901a\u8fc7\u884c\u548c\u5217\u7684\u7d22\u5f15\u6765\u8bfb\u53d6\u5355\u5143\u683c\u7684\u5185\u5bb9\u3002\u4f8b\u5982\uff0c\u8bfb\u53d6\u7b2c\u4e00\u884c\u7b2c\u4e00\u5217\u7684\u5355\u5143\u683c\u5185\u5bb9\uff1a<\/p>\n<\/p>\n
# \u8bfb\u53d6\u7b2c\u4e00\u884c\u7b2c\u4e00\u5217\u7684\u5355\u5143\u683c\u5185\u5bb9<\/p>\n
cell_value = sheet.cell(row=1, column=1).value<\/p>\n
print(cell_value)<\/p>\n
<\/code><\/pre>\n<\/p>\n
5. \u5199\u5165\u5355\u5143\u683c\u5185\u5bb9<\/h3>\n<\/p>\n
\u9664\u4e86\u8bfb\u53d6\u5355\u5143\u683c\u5185\u5bb9\uff0c\u4f60\u8fd8\u53ef\u4ee5\u4f7f\u7528openpyxl\u5199\u5165\u5355\u5143\u683c\u5185\u5bb9\u3002\u4f8b\u5982\uff0c\u5c06\u5b57\u7b26\u4e32"Hello, World!"\u5199\u5165A1\u5355\u5143\u683c\uff1a<\/p>\n<\/p>\n
# \u5199\u5165A1\u5355\u5143\u683c\u5185\u5bb9<\/p>\n
sheet['A1'] = 'Hello, World!'<\/p>\n
\u4fdd\u5b58Excel\u6587\u4ef6<\/strong><\/h2>\n
workbook.save('example.xlsx')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4f60\u8fd8\u53ef\u4ee5\u4f7f\u7528cell<\/code>\u65b9\u6cd5\u901a\u8fc7\u884c\u548c\u5217\u7684\u7d22\u5f15\u6765\u5199\u5165\u5355\u5143\u683c\u5185\u5bb9\uff1a<\/p>\n<\/p>\n
# \u5199\u5165\u7b2c\u4e00\u884c\u7b2c\u4e00\u5217\u7684\u5355\u5143\u683c\u5185\u5bb9<\/p>\n
sheet.cell(row=1, column=1, value='Hello, World!')<\/p>\n
\u4fdd\u5b58Excel\u6587\u4ef6<\/strong><\/h2>\n
workbook.save('example.xlsx')<\/p>\n
<\/code><\/pre>\n<\/p>\n
6. \u8fed\u4ee3\u5355\u5143\u683c<\/h3>\n<\/p>\n
openpyxl\u8fd8\u63d0\u4f9b\u4e86\u8fed\u4ee3\u5355\u5143\u683c\u7684\u529f\u80fd\u3002\u4f60\u53ef\u4ee5\u4f7f\u7528iter_rows<\/code>\u65b9\u6cd5\u8fed\u4ee3\u5de5\u4f5c\u8868\u4e2d\u7684\u6240\u6709\u884c\uff0c\u6216\u8005\u4f7f\u7528iter_cols<\/code>\u65b9\u6cd5\u8fed\u4ee3\u6240\u6709\u5217\u3002\u4f8b\u5982\uff0c\u8fed\u4ee3\u5de5\u4f5c\u8868\u4e2d\u7684\u6240\u6709\u884c\uff1a<\/p>\n<\/p>\n
# \u8fed\u4ee3\u6240\u6709\u884c<\/p>\n
for row in sheet.iter_rows():<\/p>\n
    for cell in row:<\/p>\n
        print(cell.value)<\/p>\n
<\/code><\/pre>\n<\/p>\n
7. \u83b7\u53d6\u5355\u5143\u683c\u7684\u884c\u548c\u5217<\/h3>\n<\/p>\n
\u4f60\u53ef\u4ee5\u4f7f\u7528row<\/code>\u548ccolumn<\/code>\u5c5e\u6027\u83b7\u53d6\u5355\u5143\u683c\u7684\u884c\u548c\u5217\u3002\u4f8b\u5982\uff0c\u83b7\u53d6A1\u5355\u5143\u683c\u7684\u884c\u548c\u5217\uff1a<\/p>\n<\/p>\n
# \u83b7\u53d6A1\u5355\u5143\u683c\u7684\u884c\u548c\u5217<\/p>\n
cell = sheet['A1']<\/p>\n
print(cell.row, cell.column)<\/p>\n
<\/code><\/pre>\n<\/p>\n
8. \u83b7\u53d6\u5355\u5143\u683c\u7684\u884c\u5217\u7d22\u5f15<\/h3>\n<\/p>\n
\u4f60\u8fd8\u53ef\u4ee5\u4f7f\u7528coordinate<\/code>\u5c5e\u6027\u83b7\u53d6\u5355\u5143\u683c\u7684\u884c\u5217\u7d22\u5f15\u3002\u4f8b\u5982\uff0c\u83b7\u53d6A1\u5355\u5143\u683c\u7684\u884c\u5217\u7d22\u5f15\uff1a<\/p>\n<\/p>\n
# \u83b7\u53d6A1\u5355\u5143\u683c\u7684\u884c\u5217\u7d22\u5f15<\/p>\n
cell = sheet['A1']<\/p>\n
print(cell.coordinate)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001pandas\u5e93\u7684\u8be6\u7ec6\u7528\u6cd5<\/h2>\n<\/p>\n
1. \u5b89\u88c5\u548c\u5bfc\u5165pandas\u5e93<\/h3>\n<\/p>\n
pandas\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u636e\u5206\u6790\u5e93\uff0c\u63d0\u4f9b\u4e86\u7528\u4e8e\u5904\u7406\u6570\u636e\u7684\u7075\u6d3b\u6570\u636e\u7ed3\u6784\u3002\u9996\u5148\uff0c\u4f60\u9700\u8981\u786e\u4fdd\u5df2\u7ecf\u5b89\u88c5\u4e86pandas\u5e93\u3002\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
\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u4ee3\u7801\u5bfc\u5165\u5e93\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u8bfb\u53d6Excel\u6587\u4ef6<\/h3>\n<\/p>\n
pandas\u63d0\u4f9b\u4e86read_excel<\/code>\u51fd\u6570\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u8bfb\u53d6Excel\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
# \u8bfb\u53d6Excel\u6587\u4ef6<\/p>\n
df = pd.read_excel('example.xlsx')<\/p>\n
<\/code><\/pre>\n<\/p>\n
3. \u67e5\u770b\u6570\u636e\u6846\u67b6<\/h3>\n<\/p>\n
\u8bfb\u53d6Excel\u6587\u4ef6\u540e\uff0c\u6570\u636e\u5c06\u4ee5\u6570\u636e\u6846\u67b6\u7684\u5f62\u5f0f\u5b58\u50a8\u3002\u4f60\u53ef\u4ee5\u4f7f\u7528head<\/code>\u65b9\u6cd5\u67e5\u770b\u6570\u636e\u6846\u67b6\u7684\u524d\u51e0\u884c\u6570\u636e\uff1a<\/p>\n<\/p>\n
# \u67e5\u770b\u6570\u636e\u6846\u67b6\u7684\u524d\u51e0\u884c\u6570\u636e<\/p>\n
print(df.head())<\/p>\n
<\/code><\/pre>\n<\/p>\n
4. \u8bfb\u53d6\u7279\u5b9a\u5355\u5143\u683c\u5185\u5bb9<\/h3>\n<\/p>\n
\u4f60\u53ef\u4ee5\u4f7f\u7528at<\/code>\u65b9\u6cd5\u901a\u8fc7\u884c\u548c\u5217\u7684\u7d22\u5f15\u8bfb\u53d6\u7279\u5b9a\u5355\u5143\u683c\u7684\u5185\u5bb9\u3002\u4f8b\u5982\uff0c\u8bfb\u53d6\u7b2c\u4e00\u884c\u7b2c\u4e00\u5217\u7684\u5355\u5143\u683c\u5185\u5bb9\uff1a<\/p>\n<\/p>\n
# \u8bfb\u53d6\u7b2c\u4e00\u884c\u7b2c\u4e00\u5217\u7684\u5355\u5143\u683c\u5185\u5bb9<\/p>\n
cell_value = df.at[0, 'A']<\/p>\n
print(cell_value)<\/p>\n
<\/code><\/pre>\n<\/p>\n
5. \u5199\u5165\u7279\u5b9a\u5355\u5143\u683c\u5185\u5bb9<\/h3>\n<\/p>\n
\u4f60\u8fd8\u53ef\u4ee5\u4f7f\u7528at<\/code>\u65b9\u6cd5\u5199\u5165\u7279\u5b9a\u5355\u5143\u683c\u7684\u5185\u5bb9\u3002\u4f8b\u5982\uff0c\u5c06\u5b57\u7b26\u4e32"Hello, World!"\u5199\u5165\u7b2c\u4e00\u884c\u7b2c\u4e00\u5217\u7684\u5355\u5143\u683c\uff1a<\/p>\n<\/p>\n
# \u5199\u5165\u7b2c\u4e00\u884c\u7b2c\u4e00\u5217\u7684\u5355\u5143\u683c\u5185\u5bb9<\/p>\n
df.at[0, 'A'] = 'Hello, World!'<\/p>\n
\u4fdd\u5b58Excel\u6587\u4ef6<\/strong><\/h2>\n
df.to_excel('example.xlsx', index=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
6. \u8fed\u4ee3\u6570\u636e\u6846\u67b6<\/h3>\n<\/p>\n
\u4f60\u53ef\u4ee5\u4f7f\u7528iterrows<\/code>\u65b9\u6cd5\u8fed\u4ee3\u6570\u636e\u6846\u67b6\u7684\u6240\u6709\u884c\u3002\u4f8b\u5982\uff0c\u8fed\u4ee3\u6570\u636e\u6846\u67b6\u4e2d\u7684\u6240\u6709\u884c\uff1a<\/p>\n<\/p>\n
# \u8fed\u4ee3\u6240\u6709\u884c<\/p>\n
for index, row in df.iterrows():<\/p>\n
    print(row['A'], row['B'])<\/p>\n
<\/code><\/pre>\n<\/p>\n
7. \u83b7\u53d6\u6570\u636e\u6846\u67b6\u7684\u884c\u548c\u5217<\/h3>\n<\/p>\n
\u4f60\u53ef\u4ee5\u4f7f\u7528shape<\/code>\u5c5e\u6027\u83b7\u53d6\u6570\u636e\u6846\u67b6\u7684\u884c\u548c\u5217\u3002\u4f8b\u5982\uff0c\u83b7\u53d6\u6570\u636e\u6846\u67b6\u7684\u884c\u548c\u5217\uff1a<\/p>\n<\/p>\n
# \u83b7\u53d6\u6570\u636e\u6846\u67b6\u7684\u884c\u548c\u5217<\/p>\n
print(df.shape)<\/p>\n
<\/code><\/pre>\n<\/p>\n
8. \u7b5b\u9009\u6570\u636e<\/h3>\n<\/p>\n
pandas\u8fd8\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u636e\u7b5b\u9009\u529f\u80fd\u3002\u4f8b\u5982\uff0c\u7b5b\u9009\u51fa\u6240\u6709A\u5217\u503c\u4e3a"Hello"\u7684\u884c\uff1a<\/p>\n<\/p>\n
# \u7b5b\u9009\u6570\u636e<\/p>\n
filtered_df = df[df['A'] == 'Hello']<\/p>\n
print(filtered_df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001xlrd\u5e93\u7684\u8be6\u7ec6\u7528\u6cd5<\/h2>\n<\/p>\n
1. \u5b89\u88c5\u548c\u5bfc\u5165xlrd\u5e93<\/h3>\n<\/p>\n
xlrd\u662f\u4e00\u4e2a\u7528\u4e8e\u8bfb\u53d6Excel\u6587\u4ef6\u7684Python\u5e93\u3002\u9996\u5148\uff0c\u4f60\u9700\u8981\u786e\u4fdd\u5df2\u7ecf\u5b89\u88c5\u4e86xlrd\u5e93\u3002\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
\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7\u4ee5\u4e0b\u4ee3\u7801\u5bfc\u5165\u5e93\uff1a<\/p>\n<\/p>\n
import xlrd<\/p>\n
<\/code><\/pre>\n<\/p>\n
2. \u6253\u5f00Excel\u6587\u4ef6<\/h3>\n<\/p>\n
\u8981\u4f7f\u7528xlrd\u6253\u5f00\u4e00\u4e2aExcel\u6587\u4ef6\uff0c\u4f60\u9700\u8981\u4f7f\u7528open_workbook<\/code>\u51fd\u6570\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
# \u6253\u5f00Excel\u6587\u4ef6<\/p>\n
workbook = xlrd.open_workbook('example.xlsx')<\/p>\n
<\/code><\/pre>\n<\/p>\n
3. \u9009\u62e9\u5de5\u4f5c\u8868<\/h3>\n<\/p>\n
\u5728\u6253\u5f00Excel\u6587\u4ef6\u540e\uff0c\u4f60\u9700\u8981\u9009\u62e9\u4e00\u4e2a\u5de5\u4f5c\u8868\u3002\u53ef\u4ee5\u4f7f\u7528sheet_by_index<\/code>\u65b9\u6cd5\u9009\u62e9\u7279\u5b9a\u7684\u5de5\u4f5c\u8868\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
# \u9009\u62e9\u5de5\u4f5c\u8868<\/p>\n
sheet = workbook.sheet_by_index(0)<\/p>\n
<\/code><\/pre>\n<\/p>\n
4. \u8bfb\u53d6\u5355\u5143\u683c\u5185\u5bb9<\/h3>\n<\/p>\n
\u4e00\u65e6\u9009\u62e9\u4e86\u5de5\u4f5c\u8868\uff0c\u4f60\u53ef\u4ee5\u901a\u8fc7\u6307\u5b9a\u884c\u548c\u5217\u6765\u8bfb\u53d6\u5355\u5143\u683c\u7684\u5185\u5bb9\u3002\u4f8b\u5982\uff0c\u8bfb\u53d6\u7b2c\u4e00\u884c\u7b2c\u4e00\u5217\u7684\u5355\u5143\u683c\u5185\u5bb9\uff1a<\/p>\n<\/p>\n
# \u8bfb\u53d6\u7b2c\u4e00\u884c\u7b2c\u4e00\u5217\u7684\u5355\u5143\u683c\u5185\u5bb9<\/p>\n
cell_value = sheet.cell_value(0, 0)<\/p>\n
print(cell_value)<\/p>\n
<\/code><\/pre>\n<\/p>\n
5. \u83b7\u53d6\u5355\u5143\u683c\u7684\u884c\u548c\u5217<\/h3>\n<\/p>\n
\u4f60\u53ef\u4ee5\u4f7f\u7528row<\/code>\u548ccol<\/code>\u65b9\u6cd5\u83b7\u53d6\u5355\u5143\u683c\u7684\u884c\u548c\u5217\u3002\u4f8b\u5982\uff0c\u83b7\u53d6\u7b2c\u4e00\u884c\u7684\u6240\u6709\u5217\uff1a<\/p>\n<\/p>\n
# \u83b7\u53d6\u7b2c\u4e00\u884c\u7684\u6240\u6709\u5217<\/p>\n
for col in range(sheet.ncols):<\/p>\n
    print(sheet.cell_value(0, col))<\/p>\n
<\/code><\/pre>\n<\/p>\n
6. \u83b7\u53d6\u5355\u5143\u683c\u7684\u884c\u5217\u7d22\u5f15<\/h3>\n<\/p>\n
\u4f60\u8fd8\u53ef\u4ee5\u4f7f\u7528cell<\/code>\u65b9\u6cd5\u83b7\u53d6\u5355\u5143\u683c\u7684\u884c\u5217\u7d22\u5f15\u3002\u4f8b\u5982\uff0c\u83b7\u53d6\u7b2c\u4e00\u884c\u7b2c\u4e00\u5217\u7684\u5355\u5143\u683c\u7684\u884c\u5217\u7d22\u5f15\uff1a<\/p>\n<\/p>\n
# \u83b7\u53d6\u7b2c\u4e00\u884c\u7b2c\u4e00\u5217\u7684\u5355\u5143\u683c\u7684\u884c\u5217\u7d22\u5f15<\/p>\n
cell = sheet.cell(0, 0)<\/p>\n
print(cell.row, cell.col)<\/p>\n
<\/code><\/pre>\n<\/p>\n
7. \u8fed\u4ee3\u5355\u5143\u683c<\/h3>\n<\/p>\n
xlrd\u8fd8\u63d0\u4f9b\u4e86\u8fed\u4ee3\u5355\u5143\u683c\u7684\u529f\u80fd\u3002\u4f60\u53ef\u4ee5\u4f7f\u7528get_rows<\/code>\u65b9\u6cd5\u8fed\u4ee3\u5de5\u4f5c\u8868\u4e2d\u7684\u6240\u6709\u884c\u3002\u4f8b\u5982\uff0c\u8fed\u4ee3\u5de5\u4f5c\u8868\u4e2d\u7684\u6240\u6709\u884c\uff1a<\/p>\n<\/p>\n
# \u8fed\u4ee3\u6240\u6709\u884c<\/p>\n
for row in sheet.get_rows():<\/p>\n
    for cell in row:<\/p>\n
        print(cell.value)<\/p>\n
<\/code><\/pre>\n<\/p>\n
8. \u8bfb\u53d6\u5355\u5143\u683c\u7684\u7c7b\u578b<\/h3>\n<\/p>\n
\u4f60\u53ef\u4ee5\u4f7f\u7528ctype<\/code>\u5c5e\u6027\u8bfb\u53d6\u5355\u5143\u683c\u7684\u7c7b\u578b\u3002\u4f8b\u5982\uff0c\u8bfb\u53d6\u7b2c\u4e00\u884c\u7b2c\u4e00\u5217\u7684\u5355\u5143\u683c\u7684\u7c7b\u578b\uff1a<\/p>\n<\/p>\n
# \u8bfb\u53d6\u7b2c\u4e00\u884c\u7b2c\u4e00\u5217\u7684\u5355\u5143\u683c\u7684\u7c7b\u578b<\/p>\n
cell = sheet.cell(0, 0)<\/p>\n
print(cell.ctype)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u603b\u7ed3<\/h2>\n<\/p>\n
\u901a\u8fc7\u4ee5\u4e0a\u5185\u5bb9\uff0c\u4f60\u5e94\u8be5\u5df2\u7ecf\u638c\u63e1\u4e86\u5982\u4f55\u4f7f\u7528openpyxl\u3001pandas\u548cxlrd\u5e93\u5728Python\u4e2d\u8bfb\u53d6\u548c\u64cd\u4f5cExcel\u6587\u4ef6\u7684\u5355\u5143\u683c\u5185\u5bb9\u3002openpyxl\u5e93\u9002\u7528\u4e8e\u5904\u7406\u590d\u6742\u7684Excel\u6587\u4ef6\u64cd\u4f5c<\/strong>\uff0cpandas\u5e93\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u636e\u5206\u6790\u529f\u80fd<\/strong>\uff0cxlrd\u5e93\u662f\u4e00\u4e2a\u8f7b\u91cf\u7ea7\u7684\u8bfb\u53d6Excel\u6587\u4ef6\u7684\u5de5\u5177<\/strong>\u3002\u6839\u636e\u5177\u4f53\u7684\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u5e93\uff0c\u53ef\u4ee5\u5e2e\u52a9\u4f60\u66f4\u9ad8\u6548\u5730\u5904\u7406Excel\u6587\u4ef6\u3002\u5e0c\u671b\u8fd9\u4e9b\u5185\u5bb9\u5bf9\u4f60\u6709\u6240\u5e2e\u52a9\uff01<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u8bfb\u53d6Excel\u6587\u4ef6\u4e2d\u7684\u7279\u5b9a\u5355\u5143\u683c\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528pandas<\/code>\u5e93\u6765\u8bfb\u53d6Excel\u6587\u4ef6\u4e2d\u7684\u7279\u5b9a\u5355\u5143\u683c\u3002\u9996\u5148\uff0c\u786e\u4fdd\u60a8\u5b89\u88c5\u4e86pandas<\/code>\u548copenpyxl<\/code>\u5e93\u3002\u53ef\u4ee5\u901a\u8fc7pip install pandas openpyxl<\/code>\u8fdb\u884c\u5b89\u88c5\u3002\u8bfb\u53d6\u7279\u5b9a\u5355\u5143\u683c\u7684\u65b9\u6cd5\u662f\u4f7f\u7528iloc<\/code>\u6216loc<\/code>\u51fd\u6570\u3002\u4f8b\u5982\uff0cdf.iloc[\u884c\u7d22\u5f15, \u5217\u7d22\u5f15]<\/code>\u53ef\u4ee5\u83b7\u53d6\u6307\u5b9a\u4f4d\u7f6e\u7684\u5355\u5143\u683c\u5185\u5bb9\u3002<\/p>\n
\u4f7f\u7528Python\u53d6\u5f97\u5355\u5143\u683c\u503c\u7684\u5e38\u7528\u5e93\u6709\u54ea\u4e9b\uff1f<\/strong>
\u5e38\u89c1\u7684Python\u5e93\u5305\u62ecpandas<\/code>\u3001openpyxl<\/code>\u548cxlrd<\/code>\u3002pandas<\/code>\u9002\u5408\u5904\u7406\u8868\u683c\u6570\u636e\uff0copenpyxl<\/code>\u53ef\u7528\u4e8e\u8bfb\u53d6\u548c\u5199\u5165Excel 2010 xlsx\/xlsm\/xltx\/xltm\u683c\u5f0f\uff0c\u800cxlrd<\/code>\u901a\u5e38\u7528\u4e8e\u8bfb\u53d6\u65e7\u7248Excel\u6587\u4ef6\u3002\u6839\u636e\u60a8\u7684\u9700\u6c42\u9009\u62e9\u9002\u5408\u7684\u5e93\uff0c\u53ef\u4ee5\u6709\u6548\u63d0\u9ad8\u6570\u636e\u5904\u7406\u7684\u6548\u7387\u3002<\/p>\n
\u5728Python\u4e2d\uff0c\u5982\u4f55\u5904\u7406Excel\u5355\u5143\u683c\u7684\u683c\u5f0f\uff1f<\/strong>
\u5904\u7406Excel\u5355\u5143\u683c\u7684\u683c\u5f0f\u901a\u5e38\u6d89\u53ca\u5230\u4f7f\u7528openpyxl<\/code>\u5e93\u3002\u8be5\u5e93\u5141\u8bb8\u7528\u6237\u8bbf\u95ee\u5355\u5143\u683c\u7684\u6837\u5f0f\u3001\u5b57\u4f53\u3001\u8fb9\u6846\u548c\u586b\u5145\u7b49\u5c5e\u6027\u3002\u901a\u8fc7\u8bbe\u7f6e\u5355\u5143\u683c\u7684font<\/code>\u3001fill<\/code>\u548cborder<\/code>\u7b49\u5c5e\u6027\uff0c\u60a8\u53ef\u4ee5\u81ea\u5b9a\u4e49Excel\u6587\u4ef6\u7684\u5916\u89c2\uff0c\u4ee5\u6ee1\u8db3\u7279\u5b9a\u7684\u62a5\u544a\u9700\u6c42\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u8981\u5728Python\u4e2d\u53d6\u5f97\u5355\u5143\u683c\u7684\u5185\u5bb9\uff0c\u53ef\u4ee5\u4f7f\u7528\u591a\u4e2a\u5e93\uff0c\u5982openpyxl\u3001pandas\u3001xlrd\u7b49\u3002\u5176\u4e2d\uff0cope […]","protected":false},"author":3,"featured_media":1162370,"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\/1162359"}],"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=1162359"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1162359\/revisions"}],"predecessor-version":[{"id":1162371,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1162359\/revisions\/1162371"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1162370"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1162359"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1162359"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1162359"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}