{"id":1049673,"date":"2024-12-31T14:01:22","date_gmt":"2024-12-31T06:01:22","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1049673.html"},"modified":"2024-12-31T14:01:25","modified_gmt":"2024-12-31T06:01:25","slug":"python%e5%a6%82%e4%bd%95%e5%af%b9%e6%9b%b4%e6%96%b0excel%e6%95%b0%e6%8d%ae%e7%b1%bb%e5%9e%8b","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1049673.html","title":{"rendered":"python\u5982\u4f55\u5bf9\u66f4\u65b0excel\u6570\u636e\u7c7b\u578b"},"content":{"rendered":"

\"python\u5982\u4f55\u5bf9\u66f4\u65b0excel\u6570\u636e\u7c7b\u578b\"<\/p>\n

\u5982\u4f55\u7528Python\u5bf9\u66f4\u65b0Excel\u6570\u636e\u7c7b\u578b<\/strong><\/p>\n<\/p>\n

\u4f7f\u7528Python\u66f4\u65b0Excel\u6570\u636e\u7c7b\u578b\u7684\u65b9\u6cd5\u6709\u591a\u79cd\uff0c\u5305\u62ec\uff1a\u4f7f\u7528pandas\u5e93\u3001openpyxl\u5e93\u3001xlrd\u548cxlwt\u5e93\u7b49\u3002\u672c\u6587\u4e3b\u8981\u4ecb\u7ecd\u5982\u4f55\u901a\u8fc7pandas\u548copenpyxl\u5e93\u5b9e\u73b0\u8fd9\u4e9b\u529f\u80fd\u3002<\/strong> \u5bf9\u4e8e\u5927\u591a\u6570\u6570\u636e\u5904\u7406\u4efb\u52a1\uff0cpandas\u5e93\u662f\u4e00\u4e2a\u975e\u5e38\u5f3a\u5927\u7684\u5de5\u5177\uff0c\u5b83\u53ef\u4ee5\u8f7b\u677e\u8bfb\u53d6\u3001\u5904\u7406\u548c\u4fdd\u5b58Excel\u6570\u636e\u3002openpyxl\u5e93\u5219\u66f4\u52a0\u4e13\u6ce8\u4e8eExcel\u6587\u4ef6\u7684\u521b\u5efa\u548c\u7f16\u8f91\u3002\u4ee5\u4e0b\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528\u8fd9\u4e24\u4e2a\u5e93\u6765\u66f4\u65b0Excel\u6587\u4ef6\u4e2d\u7684\u6570\u636e\u7c7b\u578b\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528Pandas\u5e93\u5904\u7406Excel\u6570\u636e<\/h3>\n<\/p>\n

1\u3001\u8bfb\u53d6Excel\u6587\u4ef6<\/h4>\n<\/p>\n

\u4f7f\u7528pandas\u5e93\u8bfb\u53d6Excel\u6587\u4ef6\u975e\u5e38\u7b80\u5355\u3002\u53ea\u9700\u8981\u4e00\u884c\u4ee3\u7801\u5373\u53ef\u5b9e\u73b0\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
<\/code><\/pre>\n<\/p>\n
2\u3001\u68c0\u67e5\u548c\u8f6c\u6362\u6570\u636e\u7c7b\u578b<\/h4>\n<\/p>\n
\u8bfb\u53d6Excel\u6587\u4ef6\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528dtypes<\/code>\u5c5e\u6027\u67e5\u770b\u6570\u636e\u6846\u4e2d\u5404\u5217\u7684\u6570\u636e\u7c7b\u578b\uff1a<\/p>\n<\/p>\n
print(df.dtypes)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5982\u679c\u9700\u8981\u5c06\u67d0\u4e00\u5217\u7684\u6570\u636e\u7c7b\u578b\u8fdb\u884c\u8f6c\u6362\uff0c\u53ef\u4ee5\u4f7f\u7528astype<\/code>\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n
# \u5c06\u67d0\u4e00\u5217\u8f6c\u6362\u4e3a\u6574\u6570\u7c7b\u578b<\/p>\n
df['column_name'] = df['column_name'].astype(int)<\/p>\n
\u5c06\u67d0\u4e00\u5217\u8f6c\u6362\u4e3a\u6d6e\u70b9\u6570\u7c7b\u578b<\/strong><\/h2>\n
df['column_name'] = df['column_name'].astype(float)<\/p>\n
\u5c06\u67d0\u4e00\u5217\u8f6c\u6362\u4e3a\u5b57\u7b26\u4e32\u7c7b\u578b<\/strong><\/h2>\n
df['column_name'] = df['column_name'].astype(str)<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u4fdd\u5b58\u4fee\u6539\u540e\u7684\u6570\u636e<\/h4>\n<\/p>\n
\u5b8c\u6210\u6570\u636e\u7c7b\u578b\u7684\u66f4\u65b0\u540e\uff0c\u53ef\u4ee5\u5c06\u6570\u636e\u6846\u4fdd\u5b58\u56deExcel\u6587\u4ef6\u4e2d\uff1a<\/p>\n<\/p>\n
# \u4fdd\u5b58\u5230\u65b0\u7684Excel\u6587\u4ef6<\/p>\n
df.to_excel('updated_example.xlsx', index=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528Openpyxl\u5e93\u5904\u7406Excel\u6570\u636e<\/h3>\n<\/p>\n
1\u3001\u8bfb\u53d6Excel\u6587\u4ef6<\/h4>\n<\/p>\n
openpyxl\u5e93\u66f4\u52a0\u4e13\u6ce8\u4e8eExcel\u6587\u4ef6\u7684\u521b\u5efa\u548c\u7f16\u8f91\u3002\u9996\u5148\uff0c\u9700\u8981\u4f7f\u7528load_workbook<\/code>\u65b9\u6cd5\u8bfb\u53d6Excel\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
from openpyxl import load_workbook<\/p>\n
\u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/h2>\n
wb = load_workbook('example.xlsx')<\/p>\n
ws = wb.active<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u68c0\u67e5\u548c\u8f6c\u6362\u6570\u636e\u7c7b\u578b<\/h4>\n<\/p>\n
\u4f7f\u7528openpyxl\u5e93\u65f6\uff0c\u6570\u636e\u7c7b\u578b\u7684\u68c0\u67e5\u548c\u8f6c\u6362\u9700\u8981\u624b\u52a8\u5904\u7406\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u901a\u8fc7\u904d\u5386\u5de5\u4f5c\u8868\u4e2d\u7684\u5355\u5143\u683c\u6765\u68c0\u67e5\u6570\u636e\u7c7b\u578b\uff1a<\/p>\n<\/p>\n
# \u904d\u5386\u5de5\u4f5c\u8868\u4e2d\u7684\u5355\u5143\u683c<\/p>\n
for row in ws.iter_rows():<\/p>\n
    for cell in row:<\/p>\n
        print(cell.value, type(cell.value))<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5982\u679c\u9700\u8981\u5c06\u67d0\u4e9b\u5355\u5143\u683c\u7684\u6570\u636e\u7c7b\u578b\u8fdb\u884c\u8f6c\u6362\uff0c\u53ef\u4ee5\u624b\u52a8\u66f4\u65b0\u8fd9\u4e9b\u5355\u5143\u683c\u7684\u503c\uff1a<\/p>\n<\/p>\n
# \u5c06\u67d0\u4e9b\u5355\u5143\u683c\u7684\u6570\u636e\u7c7b\u578b\u8f6c\u6362\u4e3a\u6574\u6570<\/p>\n
for row in ws.iter_rows():<\/p>\n
    for cell in row:<\/p>\n
        if isinstance(cell.value, str) and cell.value.isdigit():<\/p>\n
            cell.value = int(cell.value)<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u4fdd\u5b58\u4fee\u6539\u540e\u7684\u6570\u636e<\/h4>\n<\/p>\n
\u5b8c\u6210\u6570\u636e\u7c7b\u578b\u7684\u66f4\u65b0\u540e\uff0c\u53ef\u4ee5\u5c06\u5de5\u4f5c\u7c3f\u4fdd\u5b58\u56deExcel\u6587\u4ef6\u4e2d\uff1a<\/p>\n<\/p>\n
# \u4fdd\u5b58\u5230\u65b0\u7684Excel\u6587\u4ef6<\/p>\n
wb.save('updated_example.xlsx')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001Pandas\u4e0eOpenpyxl\u7ed3\u5408\u4f7f\u7528<\/h3>\n<\/p>\n
1\u3001\u8bfb\u53d6\u548c\u4fee\u6539\u6570\u636e<\/h4>\n<\/p>\n
\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0c\u53ef\u4ee5\u5c06pandas\u548copenpyxl\u7ed3\u5408\u4f7f\u7528\uff0c\u4ee5\u4fbf\u66f4\u7075\u6d3b\u5730\u5904\u7406Excel\u6587\u4ef6\u3002\u9996\u5148\uff0c\u4f7f\u7528pandas\u8bfb\u53d6Excel\u6587\u4ef6\u5e76\u8fdb\u884c\u6570\u636e\u4fee\u6539\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
\u4fee\u6539\u6570\u636e\u7c7b\u578b<\/strong><\/h2>\n
df['column_name'] = df['column_name'].astype(int)<\/p>\n
\u5c06\u6570\u636e\u6846\u4fdd\u5b58\u4e3a\u4e34\u65f6Excel\u6587\u4ef6<\/strong><\/h2>\n
df.to_excel('temp.xlsx', index=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u4f7f\u7528Openpyxl\u8fdb\u4e00\u6b65\u5904\u7406<\/h4>\n<\/p>\n
\u7136\u540e\uff0c\u4f7f\u7528openpyxl\u8bfb\u53d6\u4e34\u65f6Excel\u6587\u4ef6\uff0c\u5e76\u8fdb\u884c\u8fdb\u4e00\u6b65\u5904\u7406\uff1a<\/p>\n<\/p>\n
from openpyxl import load_workbook<\/p>\n
\u8bfb\u53d6\u4e34\u65f6Excel\u6587\u4ef6<\/strong><\/h2>\n
wb = load_workbook('temp.xlsx')<\/p>\n
ws = wb.active<\/p>\n
\u8fdb\u4e00\u6b65\u5904\u7406\u5355\u5143\u683c\u6570\u636e<\/strong><\/h2>\n
for row in ws.iter_rows():<\/p>\n
    for cell in row:<\/p>\n
        if isinstance(cell.value, int):<\/p>\n
            cell.value = float(cell.value)  # \u4f8b\u5982\uff0c\u5c06\u6574\u6570\u8f6c\u6362\u4e3a\u6d6e\u70b9\u6570<\/p>\n
\u4fdd\u5b58\u6700\u7ec8\u7684Excel\u6587\u4ef6<\/strong><\/h2>\n
wb.save('final_example.xlsx')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u5904\u7406\u65e5\u671f\u548c\u65f6\u95f4\u6570\u636e\u7c7b\u578b<\/h3>\n<\/p>\n
\u5728\u5904\u7406Excel\u6570\u636e\u65f6\uff0c\u7ecf\u5e38\u4f1a\u9047\u5230\u65e5\u671f\u548c\u65f6\u95f4\u6570\u636e\u3002pandas\u548copenpyxl\u90fd\u63d0\u4f9b\u4e86\u5904\u7406\u65e5\u671f\u548c\u65f6\u95f4\u6570\u636e\u7684\u529f\u80fd\u3002<\/p>\n<\/p>\n
1\u3001\u4f7f\u7528Pandas\u5904\u7406\u65e5\u671f\u548c\u65f6\u95f4\u6570\u636e<\/h4>\n<\/p>\n
\u4f7f\u7528pandas\u8bfb\u53d6Excel\u6587\u4ef6\u65f6\uff0c\u53ef\u4ee5\u6307\u5b9a\u65e5\u671f\u5217\uff0c\u5e76\u5c06\u5176\u81ea\u52a8\u89e3\u6790\u4e3a\u65e5\u671f\u65f6\u95f4\u7c7b\u578b\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u8bfb\u53d6Excel\u6587\u4ef6\uff0c\u5e76\u5c06\u6307\u5b9a\u5217\u89e3\u6790\u4e3a\u65e5\u671f\u65f6\u95f4\u7c7b\u578b<\/strong><\/h2>\n
df = pd.read_excel('example.xlsx', parse_dates=['date_column'])<\/p>\n
\u68c0\u67e5\u6570\u636e\u7c7b\u578b<\/strong><\/h2>\n
print(df.dtypes)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5982\u679c\u9700\u8981\u5c06\u67d0\u4e00\u5217\u7684\u6570\u636e\u7c7b\u578b\u8f6c\u6362\u4e3a\u65e5\u671f\u65f6\u95f4\u7c7b\u578b\uff0c\u53ef\u4ee5\u4f7f\u7528pd.to_datetime<\/code>\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n
# \u5c06\u67d0\u4e00\u5217\u8f6c\u6362\u4e3a\u65e5\u671f\u65f6\u95f4\u7c7b\u578b<\/p>\n
df['date_column'] = pd.to_datetime(df['date_column'])<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u4f7f\u7528Openpyxl\u5904\u7406\u65e5\u671f\u548c\u65f6\u95f4\u6570\u636e<\/h4>\n<\/p>\n
\u4f7f\u7528openpyxl\u8bfb\u53d6Excel\u6587\u4ef6\u65f6\uff0c\u53ef\u4ee5\u624b\u52a8\u5904\u7406\u65e5\u671f\u548c\u65f6\u95f4\u6570\u636e\uff1a<\/p>\n<\/p>\n
from openpyxl import load_workbook<\/p>\n
from openpyxl.utils.datetime import from_excel<\/p>\n
\u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/h2>\n
wb = load_workbook('example.xlsx')<\/p>\n
ws = wb.active<\/p>\n
\u624b\u52a8\u5904\u7406\u65e5\u671f\u548c\u65f6\u95f4\u6570\u636e<\/strong><\/h2>\n
for row in ws.iter_rows():<\/p>\n
    for cell in row:<\/p>\n
        if isinstance(cell.value, int):<\/p>\n
            cell.value = from_excel(cell.value)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001\u5904\u7406\u7f3a\u5931\u503c<\/h3>\n<\/p>\n
\u5728\u5904\u7406Excel\u6570\u636e\u65f6\uff0c\u7f3a\u5931\u503c\u662f\u4e00\u4e2a\u5e38\u89c1\u7684\u95ee\u9898\u3002pandas\u548copenpyxl\u90fd\u63d0\u4f9b\u4e86\u5904\u7406\u7f3a\u5931\u503c\u7684\u529f\u80fd\u3002<\/p>\n<\/p>\n
1\u3001\u4f7f\u7528Pandas\u5904\u7406\u7f3a\u5931\u503c<\/h4>\n<\/p>\n
\u4f7f\u7528pandas\u8bfb\u53d6Excel\u6587\u4ef6\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528isna<\/code>\u65b9\u6cd5\u68c0\u6d4b\u7f3a\u5931\u503c\uff0c\u5e76\u4f7f\u7528fillna<\/code>\u65b9\u6cd5\u586b\u5145\u7f3a\u5931\u503c\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
\u68c0\u6d4b\u7f3a\u5931\u503c<\/strong><\/h2>\n
print(df.isna().sum())<\/p>\n
\u586b\u5145\u7f3a\u5931\u503c<\/strong><\/h2>\n
df['column_name'] = df['column_name'].fillna(0)<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u4f7f\u7528Openpyxl\u5904\u7406\u7f3a\u5931\u503c<\/h4>\n<\/p>\n
\u4f7f\u7528openpyxl\u8bfb\u53d6Excel\u6587\u4ef6\u65f6\uff0c\u53ef\u4ee5\u624b\u52a8\u5904\u7406\u7f3a\u5931\u503c\uff1a<\/p>\n<\/p>\n
from openpyxl import load_workbook<\/p>\n
\u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/h2>\n
wb = load_workbook('example.xlsx')<\/p>\n
ws = wb.active<\/p>\n
\u624b\u52a8\u5904\u7406\u7f3a\u5931\u503c<\/strong><\/h2>\n
for row in ws.iter_rows():<\/p>\n
    for cell in row:<\/p>\n
        if cell.value is None:<\/p>\n
            cell.value = 0  # \u4f8b\u5982\uff0c\u5c06\u7f3a\u5931\u503c\u586b\u5145\u4e3a0<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516d\u3001\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e<\/h3>\n<\/p>\n
\u5728\u5904\u7406\u5927\u89c4\u6a21Excel\u6570\u636e\u65f6\uff0c\u53ef\u80fd\u4f1a\u9047\u5230\u5185\u5b58\u4e0d\u8db3\u7684\u95ee\u9898\u3002pandas\u548copenpyxl\u90fd\u63d0\u4f9b\u4e86\u4e00\u4e9b\u4f18\u5316\u7b56\u7565\uff0c\u4ee5\u4fbf\u66f4\u9ad8\u6548\u5730\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u3002<\/p>\n<\/p>\n
1\u3001\u4f7f\u7528Pandas\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e<\/h4>\n<\/p>\n
\u4f7f\u7528pandas\u5904\u7406\u5927\u89c4\u6a21Excel\u6570\u636e\u65f6\uff0c\u53ef\u4ee5\u6307\u5b9achunksize<\/code>\u53c2\u6570\uff0c\u4ee5\u5206\u5757\u8bfb\u53d6\u6570\u636e\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u5206\u5757\u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/h2>\n
chunk_size = 10000<\/p>\n
chunks = pd.read_excel('example.xlsx', chunksize=chunk_size)<\/p>\n
for chunk in chunks:<\/p>\n
    # \u5904\u7406\u6bcf\u4e2a\u6570\u636e\u5757<\/p>\n
    print(chunk.head())<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u4f7f\u7528Openpyxl\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e<\/h4>\n<\/p>\n
\u4f7f\u7528openpyxl\u5904\u7406\u5927\u89c4\u6a21Excel\u6570\u636e\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528\u6d41\u5f0f\u8bfb\u53d6\u7684\u65b9\u6cd5\uff0c\u4ee5\u907f\u514d\u5185\u5b58\u4e0d\u8db3\u7684\u95ee\u9898\uff1a<\/p>\n<\/p>\n
from openpyxl import load_workbook<\/p>\n
\u6d41\u5f0f\u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/h2>\n
wb = load_workbook('example.xlsx', read_only=True)<\/p>\n
ws = wb.active<\/p>\n
for row in ws.iter_rows():<\/p>\n
    for cell in row:<\/p>\n
        # \u5904\u7406\u6bcf\u4e2a\u5355\u5143\u683c\u6570\u636e<\/p>\n
        print(cell.value)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e03\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
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\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u4f7f\u7528Python\u66f4\u65b0Excel\u6587\u4ef6\u4e2d\u7684\u6570\u636e\u7c7b\u578b\uff1f<\/strong>
\u4f7f\u7528Python\u66f4\u65b0Excel\u6587\u4ef6\u4e2d\u7684\u6570\u636e\u7c7b\u578b\u901a\u5e38\u6d89\u53ca\u5230\u4f7f\u7528pandas<\/code>\u5e93\u548copenpyxl<\/code>\u6216xlsxwriter<\/code>\u3002\u9996\u5148\uff0c\u60a8\u9700\u8981\u8bfb\u53d6Excel\u6587\u4ef6\u5e76\u5c06\u5176\u52a0\u8f7d\u5230\u4e00\u4e2aDataFrame\u4e2d\u3002\u63a5\u7740\uff0c\u53ef\u4ee5\u4f7f\u7528DataFrame\u7684astype()<\/code>\u65b9\u6cd5\u4fee\u6539\u6570\u636e\u7c7b\u578b\uff0c\u7136\u540e\u5c06\u66f4\u65b0\u540e\u7684\u6570\u636e\u5199\u56deExcel\u6587\u4ef6\u3002\u786e\u4fdd\u5728\u5b89\u88c5\u8fd9\u4e9b\u5e93\u65f6\u6267\u884cpip install pandas openpyxl<\/code>\u3002<\/p>\n
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\u5728\u66f4\u65b0Excel\u6587\u4ef6\u540e\uff0c\u53ef\u4ee5\u901a\u8fc7\u8bfb\u53d6\u66f4\u65b0\u540e\u7684Excel\u6587\u4ef6\u5e76\u68c0\u67e5\u6bcf\u4e00\u5217\u7684\u6570\u636e\u7c7b\u578b\u6765\u9a8c\u8bc1\u66f4\u6539\u3002\u4f7f\u7528pandas<\/code>\u7684dtypes<\/code>\u5c5e\u6027\uff0c\u53ef\u4ee5\u5feb\u901f\u67e5\u770b\u6bcf\u5217\u7684\u6570\u636e\u7c7b\u578b\uff0c\u4ee5\u786e\u4fdd\u5b83\u4eec\u7b26\u5408\u9884\u671f\u3002\u5982\u679c\u67d0\u5217\u7684\u6570\u636e\u7c7b\u578b\u6ca1\u6709\u5982\u60a8\u6240\u613f\u5730\u66f4\u65b0\uff0c\u53ef\u4ee5\u68c0\u67e5\u6570\u636e\u8f6c\u6362\u7684\u903b\u8f91\u6216\u6e90\u6570\u636e\u7684\u683c\u5f0f\u3002<\/p>\n
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