{"id":1123869,"date":"2025-01-08T19:36:22","date_gmt":"2025-01-08T11:36:22","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1123869.html"},"modified":"2025-01-08T19:36:27","modified_gmt":"2025-01-08T11:36:27","slug":"%e5%9c%a8python%e4%b8%ad%e5%a6%82%e4%bd%95%e5%88%a0%e9%99%a4%e4%b8%80%e8%a1%8c%e6%95%b0%e6%8d%ae","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1123869.html","title":{"rendered":"\u5728python\u4e2d\u5982\u4f55\u5220\u9664\u4e00\u884c\u6570\u636e"},"content":{"rendered":"

\"\u5728python\u4e2d\u5982\u4f55\u5220\u9664\u4e00\u884c\u6570\u636e\"<\/p>\n

\u5728Python\u4e2d\uff0c\u6709\u591a\u79cd\u65b9\u6cd5\u53ef\u4ee5\u5220\u9664\u4e00\u884c\u6570\u636e\uff0c\u5305\u62ec\u4f7f\u7528\u6587\u4ef6\u64cd\u4f5c\u3001\u6570\u636e\u6846\u64cd\u4f5c\u7b49\u3002\u5177\u4f53\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528\u6587\u4ef6\u8bfb\u5199\u64cd\u4f5c\u3001\u4f7f\u7528Pandas\u5e93\u3001\u4f7f\u7528\u5217\u8868\u64cd\u4f5c\u3002<\/strong> \u672c\u6587\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u5e76\u7ed9\u51fa\u76f8\u5e94\u7684\u793a\u4f8b\u4ee3\u7801\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528\u6587\u4ef6\u8bfb\u5199\u64cd\u4f5c<\/h3>\n<\/p>\n

\u6587\u4ef6\u8bfb\u5199\u64cd\u4f5c\u662f\u5904\u7406\u6587\u672c\u6587\u4ef6\u7684\u57fa\u7840\u65b9\u6cd5\u3002\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u8bfb\u53d6\u6587\u4ef6\u5185\u5bb9\uff0c\u5c06\u9700\u8981\u5220\u9664\u7684\u884c\u8fc7\u6ee4\u6389\uff0c\u518d\u5c06\u5269\u4f59\u5185\u5bb9\u5199\u56de\u6587\u4ef6\u6765\u5b9e\u73b0\u5220\u9664\u884c\u7684\u64cd\u4f5c\u3002<\/p>\n<\/p>\n

1. \u8bfb\u53d6\u6587\u4ef6\u5e76\u8fc7\u6ee4\u884c<\/h4>\n<\/p>\n

\u9996\u5148\uff0c\u6211\u4eec\u9700\u8981\u8bfb\u53d6\u6587\u4ef6\u5185\u5bb9\uff0c\u5e76\u5c06\u5176\u5b58\u50a8\u5728\u4e00\u4e2a\u5217\u8868\u4e2d\u3002\u7136\u540e\uff0c\u6211\u4eec\u53ef\u4ee5\u6839\u636e\u67d0\u4e9b\u6761\u4ef6\u8fc7\u6ee4\u6389\u4e0d\u9700\u8981\u7684\u884c\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n

def delete_line(file_path, line_number):<\/p>\n
    with open(file_path, 'r') as file:<\/p>\n
        lines = file.readlines()<\/p>\n
    with open(file_path, 'w') as file:<\/p>\n
        for i, line in enumerate(lines):<\/p>\n
            if i != line_number:<\/p>\n
                file.write(line)<\/p>\n
\u793a\u4f8b\u7528\u6cd5<\/strong><\/h2>\n
delete_line('example.txt', 2)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u793a\u4f8b\u4e2d\uff0c\u6211\u4eec\u901a\u8fc7\u8bfb\u53d6\u6240\u6709\u884c\u5e76\u5b58\u50a8\u5728\u5217\u8868\u4e2d\uff0c\u7136\u540e\u8fc7\u6ee4\u6389\u6307\u5b9a\u884c\u5e76\u5199\u56de\u6587\u4ef6\u3002<\/p>\n<\/p>\n
2. \u6309\u6761\u4ef6\u5220\u9664\u884c<\/h4>\n<\/p>\n
\u5982\u679c\u9700\u8981\u6309\u6761\u4ef6\u5220\u9664\u884c\uff0c\u6bd4\u5982\u5220\u9664\u5305\u542b\u7279\u5b9a\u5b57\u7b26\u4e32\u7684\u884c\uff0c\u53ef\u4ee5\u8fd9\u6837\u5b9e\u73b0\uff1a<\/p>\n<\/p>\n
def delete_line_by_condition(file_path, condition):<\/p>\n
    with open(file_path, 'r') as file:<\/p>\n
        lines = file.readlines()<\/p>\n
    with open(file_path, 'w') as file:<\/p>\n
        for line in lines:<\/p>\n
            if not condition(line):<\/p>\n
                file.write(line)<\/p>\n
\u793a\u4f8b\u7528\u6cd5<\/strong><\/h2>\n
delete_line_by_condition('example.txt', lambda x: 'delete_me' in x)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u91cc\u6211\u4eec\u4f7f\u7528\u4e86\u4e00\u4e2a\u6761\u4ef6\u51fd\u6570 condition<\/code>\uff0c\u5982\u679c\u884c\u6ee1\u8db3\u6761\u4ef6\uff0c\u5219\u4e0d\u4f1a\u5199\u56de\u6587\u4ef6\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528Pandas\u5e93<\/h3>\n<\/p>\n
Pandas\u5e93\u662fPython\u4e2d\u5904\u7406\u6570\u636e\u6846\u7684\u5f3a\u5927\u5de5\u5177\u3002\u5982\u679c\u5904\u7406\u7684\u662fCSV\u6587\u4ef6\u6216\u5176\u4ed6\u7ed3\u6784\u5316\u6570\u636e\uff0cPandas\u63d0\u4f9b\u4e86\u66f4\u9ad8\u6548\u7684\u64cd\u4f5c\u65b9\u6cd5\u3002<\/p>\n<\/p>\n
1. \u6309\u7d22\u5f15\u5220\u9664\u884c<\/h4>\n<\/p>\n
\u4f7f\u7528Pandas\uff0c\u5220\u9664\u884c\u975e\u5e38\u7b80\u5355\u3002\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u884c\u7d22\u5f15\u6765\u5220\u9664\u7279\u5b9a\u884c\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
def delete_row_by_index(file_path, index):<\/p>\n
    df = pd.read_csv(file_path)<\/p>\n
    df.drop(index, inplace=True)<\/p>\n
    df.to_csv(file_path, index=False)<\/p>\n
\u793a\u4f8b\u7528\u6cd5<\/strong><\/h2>\n
delete_row_by_index('example.csv', 2)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u8bfb\u53d6CSV\u6587\u4ef6\uff0c\u5220\u9664\u6307\u5b9a\u7d22\u5f15\u7684\u884c\uff0c\u5e76\u5c06\u7ed3\u679c\u5199\u56de\u6587\u4ef6\u3002<\/p>\n<\/p>\n
2. \u6309\u6761\u4ef6\u5220\u9664\u884c<\/h4>\n<\/p>\n
\u540c\u6837\uff0c\u6211\u4eec\u4e5f\u53ef\u4ee5\u6309\u6761\u4ef6\u5220\u9664\u884c\uff0c\u6bd4\u5982\u5220\u9664\u67d0\u4e00\u5217\u503c\u6ee1\u8db3\u7279\u5b9a\u6761\u4ef6\u7684\u884c\uff1a<\/p>\n<\/p>\n
def delete_row_by_condition(file_path, condition):<\/p>\n
    df = pd.read_csv(file_path)<\/p>\n
    df = df[~df.apply(condition, axis=1)]<\/p>\n
    df.to_csv(file_path, index=False)<\/p>\n
\u793a\u4f8b\u7528\u6cd5<\/strong><\/h2>\n
delete_row_by_condition('example.csv', lambda row: row['column_name'] == 'delete_me')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u91cc\u6211\u4eec\u4f7f\u7528\u4e86 apply<\/code> \u65b9\u6cd5\uff0c\u5e76\u7ed3\u5408\u6761\u4ef6\u51fd\u6570 condition<\/code> \u6765\u8fc7\u6ee4\u6570\u636e\u6846\u4e2d\u7684\u884c\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u4f7f\u7528\u5217\u8868\u64cd\u4f5c<\/h3>\n<\/p>\n
\u5bf9\u4e8e\u8f83\u5c0f\u7684\u6570\u636e\u96c6\u6216\u7b80\u5355\u7684\u6587\u4ef6\u5185\u5bb9\uff0c\u6211\u4eec\u53ef\u4ee5\u76f4\u63a5\u4f7f\u7528Python\u7684\u5217\u8868\u64cd\u4f5c\u6765\u5220\u9664\u884c\u3002<\/p>\n<\/p>\n
1. \u5220\u9664\u7279\u5b9a\u7d22\u5f15\u7684\u884c<\/h4>\n<\/p>\n
\u5047\u8bbe\u6211\u4eec\u6709\u4e00\u4e2a\u5217\u8868\uff0c\u5176\u4e2d\u6bcf\u4e2a\u5143\u7d20\u90fd\u662f\u4e00\u884c\u6570\u636e\uff1a<\/p>\n<\/p>\n
data = [<\/p>\n
    'line 1',<\/p>\n
    'line 2',<\/p>\n
    'line 3',<\/p>\n
    'line 4'<\/p>\n
]<\/p>\n
def delete_line(data, line_number):<\/p>\n
    return [line for i, line in enumerate(data) if i != line_number]<\/p>\n
\u793a\u4f8b\u7528\u6cd5<\/strong><\/h2>\n
data = delete_line(data, 2)<\/p>\n
print(data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u8fd9\u4e2a\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5220\u9664\u7279\u5b9a\u7d22\u5f15\u7684\u884c\u3002<\/p>\n<\/p>\n
2. \u6309\u6761\u4ef6\u5220\u9664\u884c<\/h4>\n<\/p>\n
\u540c\u6837\uff0c\u6211\u4eec\u53ef\u4ee5\u6309\u6761\u4ef6\u5220\u9664\u5217\u8868\u4e2d\u7684\u884c\uff1a<\/p>\n<\/p>\n
def delete_line_by_condition(data, condition):<\/p>\n
    return [line for line in data if not condition(line)]<\/p>\n
\u793a\u4f8b\u7528\u6cd5<\/strong><\/h2>\n
data = delete_line_by_condition(data, lambda x: '2' in x)<\/p>\n
print(data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u603b\u7ed3<\/h3>\n<\/p>\n
\u4ee5\u4e0a\u4ecb\u7ecd\u4e86\u51e0\u79cd\u5728Python\u4e2d\u5220\u9664\u4e00\u884c\u6570\u636e\u7684\u65b9\u6cd5\uff0c\u5305\u62ec\u6587\u4ef6\u8bfb\u5199\u64cd\u4f5c\u3001Pandas\u5e93\u548c\u5217\u8868\u64cd\u4f5c\u3002\u6bcf\u79cd\u65b9\u6cd5\u90fd\u6709\u5176\u9002\u7528\u7684\u573a\u666f\u548c\u4f18\u52bf\u3002<\/p>\n<\/p>\n
\u6587\u4ef6\u8bfb\u5199\u64cd\u4f5c\u9002\u7528\u4e8e\u5904\u7406\u7b80\u5355\u7684\u6587\u672c\u6587\u4ef6\u3001Pandas\u5e93\u9002\u7528\u4e8e\u5904\u7406\u7ed3\u6784\u5316\u6570\u636e\u5982CSV\u6587\u4ef6\u3001\u5217\u8868\u64cd\u4f5c\u9002\u7528\u4e8e\u8f83\u5c0f\u7684\u6570\u636e\u96c6\u6216\u5185\u5b58\u4e2d\u7684\u6570\u636e\u3002<\/strong> \u9009\u62e9\u9002\u5f53\u7684\u65b9\u6cd5\uff0c\u53ef\u4ee5\u9ad8\u6548\u5730\u5b8c\u6210\u6570\u636e\u884c\u5220\u9664\u7684\u4efb\u52a1\u3002\u5e0c\u671b\u8fd9\u4e9b\u65b9\u6cd5\u548c\u793a\u4f8b\u4ee3\u7801\u80fd\u5e2e\u52a9\u4f60\u89e3\u51b3\u5b9e\u9645\u95ee\u9898\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u4ece\u5217\u8868\u4e2d\u5220\u9664\u7279\u5b9a\u884c\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528del<\/code>\u8bed\u53e5\u6216remove()<\/code>\u65b9\u6cd5\u6765\u5220\u9664\u5217\u8868\u4e2d\u7684\u7279\u5b9a\u884c\u3002del<\/code>\u7528\u4e8e\u901a\u8fc7\u7d22\u5f15\u5220\u9664\uff0c\u800cremove()<\/code>\u5219\u662f\u901a\u8fc7\u503c\u5220\u9664\u3002\u4f8b\u5982\uff0cdel my_list[2]<\/code>\u5c06\u5220\u9664\u5217\u8868\u4e2d\u7d22\u5f15\u4e3a2\u7684\u5143\u7d20\uff0c\u800cmy_list.remove('value')<\/code>\u4f1a\u5220\u9664\u7b2c\u4e00\u4e2a\u5339\u914d\u7684'\u503c'\u3002\u786e\u4fdd\u5728\u5220\u9664\u64cd\u4f5c\u4e4b\u524d\u68c0\u67e5\u7d22\u5f15\u6216\u503c\u662f\u5426\u5b58\u5728\uff0c\u4ee5\u907f\u514d\u5f15\u53d1\u9519\u8bef\u3002<\/p>\n
\u5728\u5904\u7406\u6570\u636e\u6846\u65f6\uff0c\u5982\u4f55\u5728Python\u4e2d\u5220\u9664\u67d0\u4e00\u884c\uff1f<\/strong>
\u4f7f\u7528Pandas\u5e93\u53ef\u4ee5\u8f7b\u677e\u5220\u9664\u6570\u636e\u6846\u4e2d\u7684\u67d0\u4e00\u884c\u3002\u53ef\u4ee5\u4f7f\u7528drop()<\/code>\u65b9\u6cd5\uff0c\u6307\u5b9a\u8981\u5220\u9664\u7684\u884c\u7684\u7d22\u5f15\u3002\u4f8b\u5982\uff0cdf.drop(index=2, inplace=True)<\/code>\u5c06\u5220\u9664\u7d22\u5f15\u4e3a2\u7684\u884c\u3002\u52a1\u5fc5\u6ce8\u610f\uff0cinplace=True<\/code>\u53c2\u6570\u5c06\u76f4\u63a5\u4fee\u6539\u539f\u59cb\u6570\u636e\u6846\uff0c\u800c\u4e0d\u8fd4\u56de\u65b0\u5bf9\u8c61\u3002<\/p>\n
\u5982\u679c\u6211\u60f3\u6839\u636e\u67d0\u4e00\u6761\u4ef6\u5220\u9664\u884c\uff0c\u8be5\u5982\u4f55\u5b9e\u73b0\uff1f<\/strong>
\u53ef\u4ee5\u5229\u7528Pandas\u5e93\u4e2d\u7684\u5e03\u5c14\u7d22\u5f15\u6765\u6839\u636e\u6761\u4ef6\u5220\u9664\u884c\u3002\u4f8b\u5982\uff0cdf = df[df['column_name'] != 'value']<\/code>\u5c06\u4fdd\u7559column_name<\/code>\u5217\u4e2d\u4e0d\u7b49\u4e8e'some_value'\u7684\u6240\u6709\u884c\u3002\u8fd9\u79cd\u65b9\u6cd5\u975e\u5e38\u7075\u6d3b\uff0c\u5141\u8bb8\u7528\u6237\u6839\u636e\u7279\u5b9a\u6761\u4ef6\u6765\u8fc7\u6ee4\u6570\u636e\u5e76\u5220\u9664\u4e0d\u9700\u8981\u7684\u884c\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\uff0c\u6709\u591a\u79cd\u65b9\u6cd5\u53ef\u4ee5\u5220\u9664\u4e00\u884c\u6570\u636e\uff0c\u5305\u62ec\u4f7f\u7528\u6587\u4ef6\u64cd\u4f5c\u3001\u6570\u636e\u6846\u64cd\u4f5c\u7b49\u3002\u5177\u4f53\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528\u6587\u4ef6\u8bfb\u5199\u64cd\u4f5c\u3001 […]","protected":false},"author":3,"featured_media":1123884,"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\/1123869"}],"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=1123869"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1123869\/revisions"}],"predecessor-version":[{"id":1123887,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1123869\/revisions\/1123887"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1123884"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1123869"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1123869"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1123869"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}