{"id":1092386,"date":"2025-01-08T14:20:39","date_gmt":"2025-01-08T06:20:39","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1092386.html"},"modified":"2025-01-08T14:20:42","modified_gmt":"2025-01-08T06:20:42","slug":"python%e5%a6%82%e4%bd%95%e6%9b%bf%e6%8d%a2csv%e6%96%87%e4%bb%b6%e4%b8%ad%e7%9a%84%e6%95%b0%e6%8d%ae-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1092386.html","title":{"rendered":"python\u5982\u4f55\u66ff\u6362csv\u6587\u4ef6\u4e2d\u7684\u6570\u636e"},"content":{"rendered":"

\"python\u5982\u4f55\u66ff\u6362csv\u6587\u4ef6\u4e2d\u7684\u6570\u636e\"<\/p>\n

Python\u66ff\u6362CSV\u6587\u4ef6\u4e2d\u7684\u6570\u636e\u53ef\u4ee5\u901a\u8fc7\u8bfb\u53d6CSV\u6587\u4ef6\u3001\u4fee\u6539\u6570\u636e\u5e76\u91cd\u65b0\u5199\u5165CSV\u6587\u4ef6\u6765\u5b9e\u73b0\u3002\u5e38\u7528\u7684\u65b9\u6cd5\u6709\u51e0\u79cd\uff0c\u5982\u4f7f\u7528\u5185\u7f6e\u7684csv\u6a21\u5757\u3001pandas\u5e93\u7b49\u3002<\/strong><\/p>\n<\/p>\n

\u5176\u4e2d\uff0cpandas\u5e93<\/strong>\u662f\u4e00\u4e2a\u975e\u5e38\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u5de5\u5177\uff0c\u80fd\u65b9\u4fbf\u5730\u8fdb\u884c\u6570\u636e\u7684\u8bfb\u53d6\u3001\u4fee\u6539\u548c\u5199\u5165\u3002\u4ee5\u4e0b\u5185\u5bb9\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528pandas\u5e93\u6765\u66ff\u6362CSV\u6587\u4ef6\u4e2d\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u5b89\u88c5pandas\u5e93<\/h3>\n<\/p>\n

\u5728\u5f00\u59cb\u4e4b\u524d\uff0c\u786e\u4fdd\u4f60\u5df2\u7ecf\u5b89\u88c5\u4e86pandas\u5e93\u3002\u5982\u679c\u6ca1\u6709\u5b89\u88c5\uff0c\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
\u4e8c\u3001\u8bfb\u53d6CSV\u6587\u4ef6<\/h3>\n<\/p>\n
\u9996\u5148\uff0c\u4f7f\u7528pandas\u8bfb\u53d6CSV\u6587\u4ef6\u3002\u5047\u8bbe\u6211\u4eec\u7684CSV\u6587\u4ef6\u540d\u4e3adata.csv<\/code>\uff0c\u5185\u5bb9\u5982\u4e0b\uff1a<\/p>\n<\/p>\n
Name, Age, City<\/p>\n
Alice, 30, New York<\/p>\n
Bob, 25, Los Angeles<\/p>\n
Charlie, 35, Chicago<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u8bfb\u53d6CSV\u6587\u4ef6\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u8bfb\u53d6CSV\u6587\u4ef6<\/strong><\/h2>\n
df = pd.read_csv('data.csv')<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u67e5\u627e\u5e76\u66ff\u6362\u6570\u636e<\/h3>\n<\/p>\n
\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528pandas\u63d0\u4f9b\u7684\u5404\u79cd\u65b9\u6cd5\u6765\u67e5\u627e\u5e76\u66ff\u6362\u6570\u636e\u3002\u4f8b\u5982\uff0c\u6211\u4eec\u53ef\u4ee5\u5c06\u6240\u6709City<\/code>\u5217\u4e2d\u503c\u4e3aNew York<\/code>\u7684\u66ff\u6362\u4e3aSan Francisco<\/code>\uff1a<\/p>\n<\/p>\n
# \u66ff\u6362City\u5217\u4e2d\u7684\u503c<\/p>\n
df['City'] = df['City'].replace('New York', 'San Francisco')<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u6839\u636e\u6761\u4ef6\u66ff\u6362\u6570\u636e<\/h3>\n<\/p>\n
\u6709\u65f6\u5019\uff0c\u6211\u4eec\u9700\u8981\u6839\u636e\u7279\u5b9a\u6761\u4ef6\u6765\u66ff\u6362\u6570\u636e\u3002\u5047\u8bbe\u6211\u4eec\u60f3\u8981\u5c06\u6240\u6709\u5e74\u9f84\u5927\u4e8e30\u7684\u4eba\u7684\u57ce\u5e02\u6539\u4e3aSeattle<\/code>\uff0c\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
# \u6839\u636e\u6761\u4ef6\u66ff\u6362\u6570\u636e<\/p>\n
df.loc[df['Age'] > 30, 'City'] = 'Seattle'<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001\u4fdd\u5b58\u4fee\u6539\u540e\u7684\u6570\u636e<\/h3>\n<\/p>\n
\u6700\u540e\uff0c\u6211\u4eec\u9700\u8981\u5c06\u4fee\u6539\u540e\u7684\u6570\u636e\u4fdd\u5b58\u56deCSV\u6587\u4ef6\u4e2d\u3002\u53ef\u4ee5\u4f7f\u7528to_csv<\/code>\u65b9\u6cd5\uff1a<\/p>\n<\/p>\n
# \u4fdd\u5b58\u4fee\u6539\u540e\u7684\u6570\u636e<\/p>\n
df.to_csv('data_modified.csv', index=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516d\u3001\u5b8c\u6574\u793a\u4f8b\u4ee3\u7801<\/h3>\n<\/p>\n
\u4ee5\u4e0b\u662f\u5b8c\u6574\u7684\u793a\u4f8b\u4ee3\u7801\uff0c\u5c55\u793a\u4e86\u5982\u4f55\u8bfb\u53d6\u3001\u4fee\u6539\u5e76\u4fdd\u5b58CSV\u6587\u4ef6\u4e2d\u7684\u6570\u636e\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u8bfb\u53d6CSV\u6587\u4ef6<\/strong><\/h2>\n
df = pd.read_csv('data.csv')<\/p>\n
print('\u539f\u59cb\u6570\u636e\uff1a')<\/p>\n
print(df)<\/p>\n
\u66ff\u6362City\u5217\u4e2d\u7684\u503c<\/strong><\/h2>\n
df['City'] = df['City'].replace('New York', 'San Francisco')<\/p>\n
print('\u66ff\u6362City\u5217\u4e2d\u7684\u503c\u540e\uff1a')<\/p>\n
print(df)<\/p>\n
\u6839\u636e\u6761\u4ef6\u66ff\u6362\u6570\u636e<\/strong><\/h2>\n
df.loc[df['Age'] > 30, 'City'] = 'Seattle'<\/p>\n
print('\u6839\u636e\u6761\u4ef6\u66ff\u6362\u6570\u636e\u540e\uff1a')<\/p>\n
print(df)<\/p>\n
\u4fdd\u5b58\u4fee\u6539\u540e\u7684\u6570\u636e<\/strong><\/h2>\n
df.to_csv('data_modified.csv', index=False)<\/p>\n
print('\u4fee\u6539\u540e\u7684\u6570\u636e\u5df2\u4fdd\u5b58\u5230data_modified.csv')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e03\u3001\u5176\u4ed6\u5e38\u89c1\u64cd\u4f5c<\/h3>\n<\/p>\n
\u9664\u4e86\u4e0a\u8ff0\u64cd\u4f5c\u5916\uff0cpandas\u8fd8\u63d0\u4f9b\u4e86\u8bb8\u591a\u5176\u4ed6\u5f3a\u5927\u7684\u529f\u80fd\u6765\u5904\u7406CSV\u6587\u4ef6\u4e2d\u7684\u6570\u636e\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n
1\u3001\u66ff\u6362\u591a\u4e2a\u503c<\/h4>\n<\/p>\n
\u53ef\u4ee5\u4e00\u6b21\u6027\u66ff\u6362\u591a\u4e2a\u503c\uff1a<\/p>\n<\/p>\n
# \u4e00\u6b21\u6027\u66ff\u6362\u591a\u4e2a\u503c<\/p>\n
df['City'] = df['City'].replace({'San Francisco': 'SF', 'Los Angeles': 'LA'})<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
2\u3001\u4f7f\u7528\u6b63\u5219\u8868\u8fbe\u5f0f\u66ff\u6362<\/h4>\n<\/p>\n
\u53ef\u4ee5\u4f7f\u7528\u6b63\u5219\u8868\u8fbe\u5f0f\u6765\u66ff\u6362\u6570\u636e\uff1a<\/p>\n<\/p>\n
# \u4f7f\u7528\u6b63\u5219\u8868\u8fbe\u5f0f\u66ff\u6362\u6570\u636e<\/p>\n
df['City'] = df['City'].replace(r'^S.*', 'StartsWithS', regex=True)<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
3\u3001\u5904\u7406\u7f3a\u5931\u503c<\/h4>\n<\/p>\n
\u53ef\u4ee5\u586b\u5145\u6216\u5220\u9664\u7f3a\u5931\u503c\uff1a<\/p>\n<\/p>\n
# \u586b\u5145\u7f3a\u5931\u503c<\/p>\n
df.fillna('Unknown', inplace=True)<\/p>\n
print(df)<\/p>\n
\u5220\u9664\u5305\u542b\u7f3a\u5931\u503c\u7684\u884c<\/strong><\/h2>\n
df.dropna(inplace=True)<\/p>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516b\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
\u4f7f\u7528Python\u548cpandas\u5e93\u6765\u66ff\u6362CSV\u6587\u4ef6\u4e2d\u7684\u6570\u636e\u975e\u5e38\u65b9\u4fbf\u548c\u9ad8\u6548\u3002\u901a\u8fc7\u4e0a\u8ff0\u793a\u4f8b\uff0c\u6211\u4eec\u53ef\u4ee5\u770b\u5230\u5982\u4f55\u8bfb\u53d6CSV\u6587\u4ef6\u3001\u67e5\u627e\u5e76\u66ff\u6362\u6570\u636e\u4ee5\u53ca\u4fdd\u5b58\u4fee\u6539\u540e\u7684\u6570\u636e\u3002\u6b64\u5916\uff0cpandas\u8fd8\u63d0\u4f9b\u4e86\u8bb8\u591a\u5176\u4ed6\u529f\u80fd\u6765\u5904\u7406\u6570\u636e\uff0c\u5982\u66ff\u6362\u591a\u4e2a\u503c\u3001\u4f7f\u7528\u6b63\u5219\u8868\u8fbe\u5f0f\u66ff\u6362\u4ee5\u53ca\u5904\u7406\u7f3a\u5931\u503c\u7b49\u3002\u5e0c\u671b\u901a\u8fc7\u672c\u6587\u7684\u4ecb\u7ecd\uff0c\u80fd\u591f\u5e2e\u52a9\u4f60\u66f4\u597d\u5730\u5904\u7406CSV\u6587\u4ef6\u4e2d\u7684\u6570\u636e\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u8bfb\u53d6CSV\u6587\u4ef6\u4ee5\u4fbf\u8fdb\u884c\u6570\u636e\u66ff\u6362\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528pandas<\/code>\u5e93\u8f7b\u677e\u8bfb\u53d6CSV\u6587\u4ef6\u3002\u9996\u5148\uff0c\u786e\u4fdd\u4f60\u5df2\u7ecf\u5b89\u88c5\u4e86pandas<\/code>\u5e93\u3002\u4f7f\u7528pd.read_csv('your_file.csv')<\/code>\u6765\u52a0\u8f7dCSV\u6587\u4ef6\uff0c\u8fd4\u56de\u4e00\u4e2aDataFrame\u5bf9\u8c61\u3002\u8fd9\u6837\uff0c\u4f60\u5c31\u53ef\u4ee5\u5728\u6570\u636e\u4e2d\u8fdb\u884c\u67e5\u627e\u548c\u66ff\u6362\u64cd\u4f5c\u3002<\/p>\n
\u7528\u4ec0\u4e48\u65b9\u6cd5\u53ef\u4ee5\u5728CSV\u6587\u4ef6\u4e2d\u66ff\u6362\u7279\u5b9a\u7684\u6570\u636e\uff1f<\/strong>
\u5728DataFrame\u4e2d\uff0c\u53ef\u4ee5\u5229\u7528replace()<\/code>\u65b9\u6cd5\u8fdb\u884c\u6570\u636e\u66ff\u6362\u3002\u8fd9\u4e2a\u65b9\u6cd5\u5141\u8bb8\u4f60\u6307\u5b9a\u8981\u66ff\u6362\u7684\u503c\u4ee5\u53ca\u65b0\u7684\u503c\u3002\u4f8b\u5982\uff0cdf.replace('old_value', 'new_value', inplace=True)<\/code>\u5c06\u4f1a\u628a\u6240\u6709\u7684'old_value'\u66ff\u6362\u6210'new_value'\u3002\u4f7f\u7528inplace=True<\/code>\u53c2\u6570\u4f1a\u76f4\u63a5\u5728\u539fDataFrame\u4e0a\u8fdb\u884c\u4fee\u6539\u3002<\/p>\n
\u5982\u4f55\u5c06\u4fee\u6539\u540e\u7684\u6570\u636e\u4fdd\u5b58\u56deCSV\u6587\u4ef6\uff1f<\/strong>
\u5728\u8fdb\u884c\u5b8c\u6570\u636e\u66ff\u6362\u4e4b\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528to_csv()<\/code>\u65b9\u6cd5\u5c06\u4fee\u6539\u540e\u7684DataFrame\u4fdd\u5b58\u56deCSV\u6587\u4ef6\u3002\u8c03\u7528df.to_csv('your_file.csv', index=False)<\/code>\u53ef\u4ee5\u5c06\u6570\u636e\u4fdd\u5b58\u5230\u6307\u5b9a\u7684\u6587\u4ef6\u4e2d\uff0c\u800cindex=False<\/code>\u53c2\u6570\u5c06\u786e\u4fdd\u5728CSV\u6587\u4ef6\u4e2d\u4e0d\u5305\u542b\u884c\u7d22\u5f15\u3002<\/p>\n
\u662f\u5426\u53ef\u4ee5\u4f7f\u7528\u6761\u4ef6\u66ff\u6362\u6765\u66f4\u65b0CSV\u6587\u4ef6\u4e2d\u7684\u6570\u636e\uff1f<\/strong>
\u5f53\u7136\u53ef\u4ee5\u3002\u53ef\u4ee5\u4f7f\u7528\u5e03\u5c14\u7d22\u5f15\u6765\u9009\u62e9\u7279\u5b9a\u6761\u4ef6\u4e0b\u7684\u6570\u636e\u8fdb\u884c\u66ff\u6362\u3002\u4f8b\u5982\uff0cdf.loc[df['column_name'] == 'old_value', 'column_name'] = 'new_value'<\/code>\u4f1a\u5c06\u6307\u5b9a\u5217\u4e2d\u6240\u6709\u6ee1\u8db3\u6761\u4ef6\u7684'old_value'\u66ff\u6362\u4e3a'new_value'\u3002\u8fd9\u79cd\u65b9\u6cd5\u975e\u5e38\u7075\u6d3b\uff0c\u9002\u7528\u4e8e\u590d\u6742\u7684\u6570\u636e\u5904\u7406\u9700\u6c42\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u66ff\u6362CSV\u6587\u4ef6\u4e2d\u7684\u6570\u636e\u53ef\u4ee5\u901a\u8fc7\u8bfb\u53d6CSV\u6587\u4ef6\u3001\u4fee\u6539\u6570\u636e\u5e76\u91cd\u65b0\u5199\u5165CSV\u6587\u4ef6\u6765\u5b9e\u73b0\u3002\u5e38\u7528\u7684\u65b9\u6cd5\u6709\u51e0\u79cd […]","protected":false},"author":3,"featured_media":1092398,"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\/1092386"}],"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=1092386"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1092386\/revisions"}],"predecessor-version":[{"id":1092400,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1092386\/revisions\/1092400"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1092398"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1092386"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1092386"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1092386"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}