{"id":1132933,"date":"2025-01-08T21:01:49","date_gmt":"2025-01-08T13:01:49","guid":{"rendered":""},"modified":"2025-01-08T21:01:51","modified_gmt":"2025-01-08T13:01:51","slug":"python%e4%b8%ad%e5%a6%82%e4%bd%95%e5%90%91%e6%95%b0%e6%8d%ae%e6%a1%86%e6%b7%bb%e5%8a%a0%e4%b8%80%e5%88%97","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1132933.html","title":{"rendered":"python\u4e2d\u5982\u4f55\u5411\u6570\u636e\u6846\u6dfb\u52a0\u4e00\u5217"},"content":{"rendered":"

\"python\u4e2d\u5982\u4f55\u5411\u6570\u636e\u6846\u6dfb\u52a0\u4e00\u5217\"<\/p>\n

\u5728Python\u4e2d\u5411\u6570\u636e\u6846\u6dfb\u52a0\u4e00\u5217\u7684\u51e0\u79cd\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528\u8d4b\u503c\u8fd0\u7b97\u7b26\u3001\u4f7f\u7528assign<\/code>\u65b9\u6cd5\u3001\u4f7f\u7528insert<\/code>\u65b9\u6cd5\u3001\u4f7f\u7528apply<\/code>\u65b9\u6cd5\u3002<\/strong> \u5176\u4e2d\uff0c\u4f7f\u7528\u8d4b\u503c\u8fd0\u7b97\u7b26\u662f\u6700\u5e38\u89c1\u548c\u6700\u7b80\u5355\u7684\u65b9\u6cd5\u3002\u901a\u8fc7\u8fd9\u79cd\u65b9\u6cd5\uff0c\u4f60\u53ef\u4ee5\u76f4\u63a5\u6307\u5b9a\u65b0\u5217\u7684\u540d\u79f0\u5e76\u8d4b\u503c\u7ed9\u5b83\u3002\u4e0b\u9762\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u6bcf\u79cd\u65b9\u6cd5\u7684\u4f7f\u7528\u548c\u9002\u7528\u573a\u666f\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u8d4b\u503c\u8fd0\u7b97\u7b26\u6dfb\u52a0\u65b0\u5217<\/p>\n<\/p>\n

\u4f7f\u7528\u8d4b\u503c\u8fd0\u7b97\u7b26\u662f\u5411\u6570\u636e\u6846\u6dfb\u52a0\u65b0\u5217\u7684\u6700\u76f4\u63a5\u65b9\u6cd5\u3002\u53ef\u4ee5\u6839\u636e\u5df2\u6709\u7684\u5217\u8fdb\u884c\u8ba1\u7b97\uff0c\u6216\u76f4\u63a5\u8d4b\u4e88\u65b0\u7684\u503c\u3002<\/p>\n<\/p>\n

import pandas as pd<\/p>\n
\u521b\u5efa\u4e00\u4e2a\u793a\u4f8b\u6570\u636e\u6846<\/strong><\/h2>\n
df = pd.DataFrame({<\/p>\n
    'A': [1, 2, 3],<\/p>\n
    'B': [4, 5, 6]<\/p>\n
})<\/p>\n
\u4f7f\u7528\u8d4b\u503c\u8fd0\u7b97\u7b26\u6dfb\u52a0\u65b0\u5217<\/strong><\/h2>\n
df['C'] = df['A'] + df['B']<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u6bb5\u4ee3\u7801\u4f1a\u8f93\u51fa\u4ee5\u4e0b\u7ed3\u679c\uff1a<\/p>\n<\/p>\n
   A  B  C<\/p>\n
0  1  4  5<\/p>\n
1  2  5  7<\/p>\n
2  3  6  9<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u79cd\u65b9\u6cd5\u7684\u4f18\u70b9\u5728\u4e8e\u7b80\u5355\u3001\u76f4\u89c2<\/strong>\uff0c\u9002\u7528\u4e8e\u5927\u591a\u6570\u573a\u666f\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528assign<\/code>\u65b9\u6cd5\u6dfb\u52a0\u65b0\u5217<\/p>\n<\/p>\n
assign<\/code>\u65b9\u6cd5\u5141\u8bb8\u4f60\u5728\u94fe\u5f0f\u64cd\u4f5c\u4e2d\u6dfb\u52a0\u65b0\u5217\uff0c\u975e\u5e38\u9002\u5408\u5728\u591a\u4e2a\u64cd\u4f5c\u7ec4\u5408\u65f6\u4f7f\u7528\u3002<\/p>\n<\/p>\n
# \u4f7f\u7528assign\u65b9\u6cd5\u6dfb\u52a0\u65b0\u5217<\/p>\n
df = df.assign(D=df['A'] * 2)<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8f93\u51fa\u7ed3\u679c\uff1a<\/p>\n<\/p>\n
   A  B  C  D<\/p>\n
0  1  4  5  2<\/p>\n
1  2  5  4<\/p>\n
2  3  6  6<\/p>\n
<\/code><\/pre>\n<\/p>\n
assign<\/code>\u65b9\u6cd5\u7684\u4f18\u70b9\u662f\u80fd\u591f\u4fdd\u6301\u94fe\u5f0f\u64cd\u4f5c\u7684\u6d41\u7545\u6027<\/strong>\uff0c\u9002\u7528\u4e8e\u590d\u6742\u7684\u6570\u636e\u5904\u7406\u6d41\u7a0b\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u4f7f\u7528insert<\/code>\u65b9\u6cd5\u5728\u6307\u5b9a\u4f4d\u7f6e\u6dfb\u52a0\u65b0\u5217<\/p>\n<\/p>\n
insert<\/code>\u65b9\u6cd5\u5141\u8bb8\u4f60\u5728\u6570\u636e\u6846\u7684\u7279\u5b9a\u4f4d\u7f6e\u63d2\u5165\u65b0\u5217\u3002<\/p>\n<\/p>\n
# \u4f7f\u7528insert\u65b9\u6cd5\u5728\u6307\u5b9a\u4f4d\u7f6e\u6dfb\u52a0\u65b0\u5217<\/p>\n
df.insert(1, 'E', df['B'] - df['A'])<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8f93\u51fa\u7ed3\u679c\uff1a<\/p>\n<\/p>\n
   A  E  B  C  D<\/p>\n
0  1  3  4  5  2<\/p>\n
1  2  3  5  4<\/p>\n
2  3  3  6  6<\/p>\n
<\/code><\/pre>\n<\/p>\n
insert<\/code>\u65b9\u6cd5\u7684\u4f18\u70b9\u662f\u7075\u6d3b\u6027\u9ad8<\/strong>\uff0c\u53ef\u4ee5\u7cbe\u786e\u63a7\u5236\u65b0\u5217\u7684\u4f4d\u7f6e\uff0c\u9002\u7528\u4e8e\u9700\u8981\u7279\u5b9a\u5217\u987a\u5e8f\u7684\u573a\u666f\u3002<\/p>\n<\/p>\n
\u56db\u3001\u4f7f\u7528apply<\/code>\u65b9\u6cd5\u6dfb\u52a0\u57fa\u4e8e\u51fd\u6570\u7684\u65b0\u5217<\/p>\n<\/p>\n
apply<\/code>\u65b9\u6cd5\u5141\u8bb8\u4f60\u5bf9\u6bcf\u4e00\u884c\u6216\u6bcf\u4e00\u5217\u5e94\u7528\u4e00\u4e2a\u51fd\u6570\uff0c\u975e\u5e38\u9002\u5408\u590d\u6742\u7684\u5217\u8ba1\u7b97\u3002<\/p>\n<\/p>\n
# \u5b9a\u4e49\u4e00\u4e2a\u793a\u4f8b\u51fd\u6570<\/p>\n
def custom_function(row):<\/p>\n
    return row['A'] * row['B']<\/p>\n
\u4f7f\u7528apply\u65b9\u6cd5\u6dfb\u52a0\u65b0\u5217<\/strong><\/h2>\n
df['F'] = df.apply(custom_function, axis=1)<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8f93\u51fa\u7ed3\u679c\uff1a<\/p>\n<\/p>\n
   A  E  B  C  D   F<\/p>\n
0  1  3  4  5  2   4<\/p>\n
1  2  3  5  4  10<\/p>\n
2  3  3  6  6  18<\/p>\n
<\/code><\/pre>\n<\/p>\n
apply<\/code>\u65b9\u6cd5\u7684\u4f18\u70b9\u5728\u4e8e\u9ad8\u5ea6\u7684\u7075\u6d3b\u6027<\/strong>\uff0c\u9002\u7528\u4e8e\u590d\u6742\u7684\u903b\u8f91\u548c\u8ba1\u7b97\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u603b\u7ed3<\/p>\n<\/p>\n
\u5411\u6570\u636e\u6846\u6dfb\u52a0\u65b0\u5217\u7684\u65b9\u6cd5\u6709\u5f88\u591a\u79cd\uff0c\u6bcf\u79cd\u65b9\u6cd5\u90fd\u6709\u5176\u72ec\u7279\u7684\u4f18\u70b9\u548c\u9002\u7528\u573a\u666f\u3002\u8d4b\u503c\u8fd0\u7b97\u7b26\u7b80\u5355\u76f4\u89c2\u3001assign<\/code>\u65b9\u6cd5\u9002\u5408\u94fe\u5f0f\u64cd\u4f5c\u3001insert<\/code>\u65b9\u6cd5\u7075\u6d3b\u3001apply<\/code>\u65b9\u6cd5\u9ad8\u5ea6\u7075\u6d3b<\/strong>\u3002\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\uff0c\u53ef\u4ee5\u63d0\u9ad8\u4ee3\u7801\u7684\u53ef\u8bfb\u6027\u548c\u6548\u7387\u3002<\/p>\n<\/p>\n
\u4e00\u3001\u8d4b\u503c\u8fd0\u7b97\u7b26\u7684\u8be6\u7ec6\u4f7f\u7528<\/h3>\n<\/p>\n
\u8d4b\u503c\u8fd0\u7b97\u7b26\u662f\u6700\u5e38\u89c1\u7684\u65b9\u6cd5\uff0c\u901a\u8fc7\u76f4\u63a5\u6307\u5b9a\u65b0\u5217\u7684\u540d\u79f0\u5e76\u8d4b\u503c\u7ed9\u5b83\u6765\u6dfb\u52a0\u65b0\u5217\u3002\u8fd9\u79cd\u65b9\u6cd5\u7684\u4f18\u70b9\u5728\u4e8e\u7b80\u5355\u76f4\u89c2\uff0c\u9002\u7528\u4e8e\u5927\u591a\u6570\u573a\u666f\u3002\u4ee5\u4e0b\u662f\u66f4\u8be6\u7ec6\u7684\u4ecb\u7ecd\u548c\u4e00\u4e9b\u5b9e\u9645\u5e94\u7528\u793a\u4f8b\u3002<\/p>\n<\/p>\n
\u57fa\u672c\u7528\u6cd5<\/h4>\n<\/p>\n
\u8d4b\u503c\u8fd0\u7b97\u7b26\u53ef\u4ee5\u76f4\u63a5\u7528\u6765\u4e3a\u6570\u636e\u6846\u6dfb\u52a0\u4e00\u4e2a\u65b0\u5217\uff0c\u4e0b\u9762\u662f\u4e00\u4e2a\u57fa\u672c\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u521b\u5efa\u4e00\u4e2a\u793a\u4f8b\u6570\u636e\u6846<\/strong><\/h2>\n
df = pd.DataFrame({<\/p>\n
    'A': [1, 2, 3],<\/p>\n
    'B': [4, 5, 6]<\/p>\n
})<\/p>\n
\u4f7f\u7528\u8d4b\u503c\u8fd0\u7b97\u7b26\u6dfb\u52a0\u65b0\u5217<\/strong><\/h2>\n
df['C'] = df['A'] + df['B']<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u6bb5\u4ee3\u7801\u4f1a\u8f93\u51fa\u4ee5\u4e0b\u7ed3\u679c\uff1a<\/p>\n<\/p>\n
   A  B  C<\/p>\n
0  1  4  5<\/p>\n
1  2  5  7<\/p>\n
2  3  6  9<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u6dfb\u52a0\u5e38\u91cf\u503c\u7684\u65b0\u5217<\/h4>\n<\/p>\n
\u9664\u4e86\u53ef\u4ee5\u901a\u8fc7\u5176\u4ed6\u5217\u8ba1\u7b97\u65b0\u5217\u7684\u503c\uff0c\u8fd8\u53ef\u4ee5\u76f4\u63a5\u8d4b\u4e88\u5e38\u91cf\u503c\uff1a<\/p>\n<\/p>\n
# \u6dfb\u52a0\u5e38\u91cf\u503c\u7684\u65b0\u5217<\/p>\n
df['D'] = 10<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8f93\u51fa\u7ed3\u679c\uff1a<\/p>\n<\/p>\n
   A  B  C   D<\/p>\n
0  1  4  5  10<\/p>\n
1  2  5  7  10<\/p>\n
2  3  6  9  10<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u57fa\u4e8e\u6761\u4ef6\u6dfb\u52a0\u65b0\u5217<\/h4>\n<\/p>\n
\u4f60\u8fd8\u53ef\u4ee5\u57fa\u4e8e\u67d0\u4e9b\u6761\u4ef6\u6765\u6dfb\u52a0\u65b0\u5217\uff1a<\/p>\n<\/p>\n
# \u57fa\u4e8e\u6761\u4ef6\u6dfb\u52a0\u65b0\u5217<\/p>\n
df['E'] = df['A'].apply(lambda x: 'high' if x > 2 else 'low')<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8f93\u51fa\u7ed3\u679c\uff1a<\/p>\n<\/p>\n
   A  B  C   D     E<\/p>\n
0  1  4  5  10   low<\/p>\n
1  2  5  7  10   low<\/p>\n
2  3  6  9  10  high<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528assign<\/code>\u65b9\u6cd5\u7684\u8be6\u7ec6\u4f7f\u7528<\/h3>\n<\/p>\n
assign<\/code>\u65b9\u6cd5\u53ef\u4ee5\u5728\u94fe\u5f0f\u64cd\u4f5c\u4e2d\u975e\u5e38\u65b9\u4fbf\u5730\u6dfb\u52a0\u65b0\u5217\uff0c\u4e0b\u9762\u662f\u4e00\u4e9b\u8be6\u7ec6\u7684\u4f7f\u7528\u793a\u4f8b\u3002<\/p>\n<\/p>\n
\u57fa\u672c\u7528\u6cd5<\/h4>\n<\/p>\n
\u901a\u8fc7assign<\/code>\u65b9\u6cd5\u53ef\u4ee5\u76f4\u63a5\u4e3a\u6570\u636e\u6846\u6dfb\u52a0\u4e00\u4e2a\u65b0\u5217\uff1a<\/p>\n<\/p>\n
# \u4f7f\u7528assign\u65b9\u6cd5\u6dfb\u52a0\u65b0\u5217<\/p>\n
df = df.assign(F=df['A'] * df['B'])<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8f93\u51fa\u7ed3\u679c\uff1a<\/p>\n<\/p>\n
   A  B  C   D     E   F<\/p>\n
0  1  4  5  10   low   4<\/p>\n
1  2  5  7  10   low  10<\/p>\n
2  3  6  9  10  high  18<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u94fe\u5f0f\u64cd\u4f5c<\/h4>\n<\/p>\n
assign<\/code>\u65b9\u6cd5\u975e\u5e38\u9002\u5408\u5728\u94fe\u5f0f\u64cd\u4f5c\u4e2d\u4f7f\u7528\uff1a<\/p>\n<\/p>\n
# \u94fe\u5f0f\u64cd\u4f5c\u6dfb\u52a0\u65b0\u5217<\/p>\n
df = (df.assign(G=df['A'] + df['B'])<\/p>\n
        .assign(H=lambda x: x['G'] * 2))<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8f93\u51fa\u7ed3\u679c\uff1a<\/p>\n<\/p>\n
   A  B  C   D     E   F   G   H<\/p>\n
0  1  4  5  10   low   4   5  10<\/p>\n
1  2  5  7  10   low  10   7  14<\/p>\n
2  3  6  9  10  high  18   9  18<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u52a8\u6001\u5217\u540d<\/h4>\n<\/p>\n
assign<\/code>\u65b9\u6cd5\u652f\u6301\u52a8\u6001\u5217\u540d\uff0c\u53ef\u4ee5\u6839\u636e\u53d8\u91cf\u7684\u503c\u6765\u547d\u540d\u65b0\u5217\uff1a<\/p>\n<\/p>\n
new_column_name = 'I'<\/p>\n
df = df.assign({new_column_name: df['A'] * 3})<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8f93\u51fa\u7ed3\u679c\uff1a<\/p>\n<\/p>\n
   A  B  C   D     E   F   G   H   I<\/p>\n
0  1  4  5  10   low   4   5  10   3<\/p>\n
1  2  5  7  10   low  10   7  14   6<\/p>\n
2  3  6  9  10  high  18   9  18   9<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u4f7f\u7528insert<\/code>\u65b9\u6cd5\u7684\u8be6\u7ec6\u4f7f\u7528<\/h3>\n<\/p>\n
insert<\/code>\u65b9\u6cd5\u5141\u8bb8\u4f60\u5728\u6570\u636e\u6846\u7684\u7279\u5b9a\u4f4d\u7f6e\u63d2\u5165\u65b0\u5217\uff0c\u4e0b\u9762\u662f\u4e00\u4e9b\u8be6\u7ec6\u7684\u4f7f\u7528\u793a\u4f8b\u3002<\/p>\n<\/p>\n
\u57fa\u672c\u7528\u6cd5<\/h4>\n<\/p>\n
\u901a\u8fc7insert<\/code>\u65b9\u6cd5\u53ef\u4ee5\u5728\u6307\u5b9a\u4f4d\u7f6e\u6dfb\u52a0\u65b0\u5217\uff1a<\/p>\n<\/p>\n
# \u4f7f\u7528insert\u65b9\u6cd5\u5728\u6307\u5b9a\u4f4d\u7f6e\u6dfb\u52a0\u65b0\u5217<\/p>\n
df.insert(1, 'J', df['B'] - df['A'])<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8f93\u51fa\u7ed3\u679c\uff1a<\/p>\n<\/p>\n
   A  J  B  C   D     E   F   G   H   I<\/p>\n
0  1  3  4  5  10   low   4   5  10   3<\/p>\n
1  2  3  5  7  10   low  10   7  14   6<\/p>\n
2  3  3  6  9  10  high  18   9  18   9<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u63d2\u5165\u5e38\u91cf\u503c\u7684\u65b0\u5217<\/h4>\n<\/p>\n
\u4f60\u8fd8\u53ef\u4ee5\u63d2\u5165\u4e00\u4e2a\u5e38\u91cf\u503c\u7684\u65b0\u5217\uff1a<\/p>\n<\/p>\n
# \u63d2\u5165\u5e38\u91cf\u503c\u7684\u65b0\u5217<\/p>\n
df.insert(2, 'K', 100)<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8f93\u51fa\u7ed3\u679c\uff1a<\/p>\n<\/p>\n
   A  J    K  B  C   D     E   F   G   H   I<\/p>\n
0  1  3  100  4  5  10   low   4   5  10   3<\/p>\n
1  2  3  100  5  7  10   low  10   7  14   6<\/p>\n
2  3  3  100  6  9  10  high  18   9  18   9<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u57fa\u4e8e\u6761\u4ef6\u63d2\u5165\u65b0\u5217<\/h4>\n<\/p>\n
\u4f60\u8fd8\u53ef\u4ee5\u57fa\u4e8e\u67d0\u4e9b\u6761\u4ef6\u5728\u6307\u5b9a\u4f4d\u7f6e\u63d2\u5165\u65b0\u5217\uff1a<\/p>\n<\/p>\n
# \u57fa\u4e8e\u6761\u4ef6\u63d2\u5165\u65b0\u5217<\/p>\n
df.insert(3, 'L', df['A'].apply(lambda x: 'yes' if x > 1 else 'no'))<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8f93\u51fa\u7ed3\u679c\uff1a<\/p>\n<\/p>\n
   A  J    K    L  B  C   D     E   F   G   H   I<\/p>\n
0  1  3  100   no  4  5  10   low   4   5  10   3<\/p>\n
1  2  3  100  yes  5  7  10   low  10   7  14   6<\/p>\n
2  3  3  100  yes  6  9  10  high  18   9  18   9<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u4f7f\u7528apply<\/code>\u65b9\u6cd5\u7684\u8be6\u7ec6\u4f7f\u7528<\/h3>\n<\/p>\n
apply<\/code>\u65b9\u6cd5\u5141\u8bb8\u4f60\u5bf9\u6bcf\u4e00\u884c\u6216\u6bcf\u4e00\u5217\u5e94\u7528\u4e00\u4e2a\u51fd\u6570\uff0c\u975e\u5e38\u9002\u5408\u590d\u6742\u7684\u5217\u8ba1\u7b97\uff0c\u4e0b\u9762\u662f\u4e00\u4e9b\u8be6\u7ec6\u7684\u4f7f\u7528\u793a\u4f8b\u3002<\/p>\n<\/p>\n
\u57fa\u672c\u7528\u6cd5<\/h4>\n<\/p>\n
\u901a\u8fc7apply<\/code>\u65b9\u6cd5\u53ef\u4ee5\u4e3a\u6570\u636e\u6846\u6dfb\u52a0\u4e00\u4e2a\u57fa\u4e8e\u51fd\u6570\u7684\u65b0\u5217\uff1a<\/p>\n<\/p>\n
# \u5b9a\u4e49\u4e00\u4e2a\u793a\u4f8b\u51fd\u6570<\/p>\n
def custom_function(row):<\/p>\n
    return row['A'] * row['B']<\/p>\n
\u4f7f\u7528apply\u65b9\u6cd5\u6dfb\u52a0\u65b0\u5217<\/strong><\/h2>\n
df['M'] = df.apply(custom_function, axis=1)<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8f93\u51fa\u7ed3\u679c\uff1a<\/p>\n<\/p>\n
   A  J    K    L  B  C   D     E   F   G   H   I   M<\/p>\n
0  1  3  100   no  4  5  10   low   4   5  10   3   4<\/p>\n
1  2  3  100  yes  5  7  10   low  10   7  14   6  10<\/p>\n
2  3  3  100  yes  6  9  10  high  18   9  18   9  18<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u57fa\u4e8e\u591a\u4e2a\u5217\u7684\u590d\u6742\u8ba1\u7b97<\/h4>\n<\/p>\n
\u4f60\u53ef\u4ee5\u4f7f\u7528apply<\/code>\u65b9\u6cd5\u8fdb\u884c\u57fa\u4e8e\u591a\u4e2a\u5217\u7684\u590d\u6742\u8ba1\u7b97\uff1a<\/p>\n<\/p>\n
# \u5b9a\u4e49\u4e00\u4e2a\u590d\u6742\u8ba1\u7b97\u7684\u793a\u4f8b\u51fd\u6570<\/p>\n
def complex_function(row):<\/p>\n
    return (row['A'] + row['B']) * row['C']<\/p>\n
\u4f7f\u7528apply\u65b9\u6cd5\u6dfb\u52a0\u65b0\u5217<\/strong><\/h2>\n
df['N'] = df.apply(complex_function, axis=1)<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8f93\u51fa\u7ed3\u679c\uff1a<\/p>\n<\/p>\n
   A  J    K    L  B  C   D     E   F   G   H   I   M   N<\/p>\n
0  1  3  100   no  4  5  10   low   4   5  10   3   4  25<\/p>\n
1  2  3  100  yes  5  7  10   low  10   7  14   6  10  63<\/p>\n
2  3  3  100  yes  6  9  10  high  18   9  18   9  18  81<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u57fa\u4e8e\u6761\u4ef6\u7684\u590d\u6742\u8ba1\u7b97<\/h4>\n<\/p>\n
\u4f60\u8fd8\u53ef\u4ee5\u57fa\u4e8e\u67d0\u4e9b\u6761\u4ef6\u8fdb\u884c\u590d\u6742\u8ba1\u7b97\uff1a<\/p>\n<\/p>\n
# \u5b9a\u4e49\u4e00\u4e2a\u57fa\u4e8e\u6761\u4ef6\u7684\u590d\u6742\u8ba1\u7b97\u793a\u4f8b\u51fd\u6570<\/p>\n
def conditional_function(row):<\/p>\n
    if row['A'] > 1:<\/p>\n
        return row['A'] * row['B']<\/p>\n
    else:<\/p>\n
        return row['B'] - row['C']<\/p>\n
\u4f7f\u7528apply\u65b9\u6cd5\u6dfb\u52a0\u65b0\u5217<\/strong><\/h2>\n
df['O'] = df.apply(conditional_function, axis=1)<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8f93\u51fa\u7ed3\u679c\uff1a<\/p>\n<\/p>\n
   A  J    K    L  B  C   D     E   F   G   H   I   M   N   O<\/p>\n
0  1  3  100   no  4  5  10   low   4   5  10   3   4  25  -1<\/p>\n
1  2  3  100  yes  5  7  10   low  10   7  14   6  10  63  10<\/p>\n
2  3  3  100  yes  6  9  10  high  18   9  18   9  18  81  18<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
\u5728Python\u4e2d\u5411\u6570\u636e\u6846\u6dfb\u52a0\u65b0\u5217\u7684\u65b9\u6cd5\u591a\u79cd\u591a\u6837\uff0c\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u53ef\u4ee5\u4f7f\u4f60\u7684\u4ee3\u7801\u66f4\u52a0\u7b80\u6d01\u548c\u9ad8\u6548\u3002\u8d4b\u503c\u8fd0\u7b97\u7b26\u662f\u6700\u7b80\u5355\u7684\u65b9\u6cd5\uff0c\u9002\u5408\u5927\u591a\u6570\u60c5\u51b5\uff1bassign<\/code>\u65b9\u6cd5\u9002\u5408\u94fe\u5f0f\u64cd\u4f5c\uff0c\u4f7f\u4ee3\u7801\u66f4\u5177\u53ef\u8bfb\u6027\uff1binsert<\/code>\u65b9\u6cd5\u5141\u8bb8\u4f60\u5728\u7279\u5b9a\u4f4d\u7f6e\u63d2\u5165\u65b0\u5217\uff0c\u9002\u7528\u4e8e\u9700\u8981\u7279\u5b9a\u5217\u987a\u5e8f\u7684\u573a\u666f\uff1bapply<\/code>\u65b9\u6cd5\u5219\u63d0\u4f9b\u4e86\u9ad8\u5ea6\u7684\u7075\u6d3b\u6027\uff0c\u9002\u7528\u4e8e\u590d\u6742\u7684\u903b\u8f91\u548c\u8ba1\u7b97\u3002<\/p>\n<\/p>\n
\u603b\u7684\u6765\u8bf4\uff0c\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5<\/strong>\uff0c\u53ef\u4ee5\u63d0\u9ad8\u4ee3\u7801\u7684\u53ef\u8bfb\u6027\u548c\u6548\u7387\uff0c\u4f7f\u6570\u636e\u5904\u7406\u66f4\u52a0\u4fbf\u6377\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u5411\u6570\u636e\u6846\u6dfb\u52a0\u65b0\u5217\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528Pandas\u5e93\u8f7b\u677e\u5730\u5411\u6570\u636e\u6846\u6dfb\u52a0\u65b0\u5217\u3002\u9996\u5148\uff0c\u786e\u4fdd\u5df2\u7ecf\u5bfc\u5165Pandas\u5e93\u5e76\u521b\u5efa\u4e86\u4e00\u4e2a\u6570\u636e\u6846\u3002\u53ef\u4ee5\u901a\u8fc7\u7b80\u5355\u7684\u8d4b\u503c\u64cd\u4f5c\u6765\u6dfb\u52a0\u65b0\u5217\uff0c\u4f8b\u5982 df['\u65b0\u5217\u540d'] = \u503c<\/code>\uff0c\u5176\u4e2d\u503c<\/code>\u53ef\u4ee5\u662f\u4e00\u4e2a\u5e38\u91cf\u3001\u5217\u8868\u6216Series\u3002<\/p>\n
\u5411\u6570\u636e\u6846\u6dfb\u52a0\u5217\u65f6\u9700\u8981\u6ce8\u610f\u54ea\u4e9b\u4e8b\u9879\uff1f<\/strong>
\u5728\u5411\u6570\u636e\u6846\u6dfb\u52a0\u65b0\u5217\u65f6\uff0c\u8981\u786e\u4fdd\u65b0\u5217\u7684\u957f\u5ea6\u4e0e\u73b0\u6709\u6570\u636e\u6846\u7684\u884c\u6570\u76f8\u5339\u914d\u3002\u5982\u679c\u65b0\u5217\u7684\u957f\u5ea6\u4e0d\u4e00\u81f4\uff0c\u53ef\u80fd\u4f1a\u5bfc\u81f4\u9519\u8bef\u6216\u6570\u636e\u5bf9\u9f50\u95ee\u9898\u3002\u6b64\u5916\uff0c\u4f7f\u7528\u5408\u9002\u7684\u6570\u636e\u7c7b\u578b\u4e5f\u5f88\u91cd\u8981\uff0c\u4ee5\u786e\u4fdd\u6570\u636e\u7684\u4e00\u81f4\u6027\u548c\u8ba1\u7b97\u7684\u6709\u6548\u6027\u3002<\/p>\n
\u53ef\u4ee5\u901a\u8fc7\u54ea\u4e9b\u65b9\u6cd5\u5411\u6570\u636e\u6846\u6dfb\u52a0\u5217\uff1f<\/strong>
\u9664\u4e86\u76f4\u63a5\u8d4b\u503c\u5916\uff0c\u8fd8\u53ef\u4ee5\u4f7f\u7528assign()<\/code>\u65b9\u6cd5\u3001insert()<\/code>\u65b9\u6cd5\u6216\u901a\u8fc7concat()<\/code>\u51fd\u6570\u6765\u6dfb\u52a0\u5217\u3002assign()<\/code>\u5141\u8bb8\u94fe\u5f0f\u64cd\u4f5c\uff0c\u800cinsert()<\/code>\u53ef\u4ee5\u6307\u5b9a\u65b0\u5217\u7684\u4f4d\u7f6e\uff0cconcat()<\/code>\u5219\u53ef\u4ee5\u5408\u5e76\u591a\u4e2a\u6570\u636e\u6846\u6216Series\uff0c\u5f62\u6210\u65b0\u7684\u6570\u636e\u6846\u3002<\/p>\n
\u6dfb\u52a0\u5217\u540e\u5982\u4f55\u9a8c\u8bc1\u6570\u636e\u6846\u7684\u7ed3\u6784\uff1f<\/strong>
\u5728\u6dfb\u52a0\u65b0\u5217\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528df.info()<\/code>\u548cdf.head()<\/code>\u65b9\u6cd5\u67e5\u770b\u6570\u636e\u6846\u7684\u7ed3\u6784\u548c\u524d\u51e0\u884c\u6570\u636e\u3002\u8fd9\u4e9b\u65b9\u6cd5\u53ef\u4ee5\u5e2e\u52a9\u786e\u8ba4\u65b0\u5217\u662f\u5426\u6210\u529f\u6dfb\u52a0\u4ee5\u53ca\u6570\u636e\u7c7b\u578b\u662f\u5426\u6b63\u786e\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\u5411\u6570\u636e\u6846\u6dfb\u52a0\u4e00\u5217\u7684\u51e0\u79cd\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528\u8d4b\u503c\u8fd0\u7b97\u7b26\u3001\u4f7f\u7528assign\u65b9\u6cd5\u3001\u4f7f\u7528insert\u65b9\u6cd5\u3001\u4f7f […]","protected":false},"author":3,"featured_media":1132940,"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\/1132933"}],"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=1132933"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1132933\/revisions"}],"predecessor-version":[{"id":1132941,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1132933\/revisions\/1132941"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1132940"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1132933"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1132933"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1132933"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}