{"id":1045671,"date":"2024-12-31T13:25:49","date_gmt":"2024-12-31T05:25:49","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1045671.html"},"modified":"2024-12-31T13:25:59","modified_gmt":"2024-12-31T05:25:59","slug":"python%e5%a6%82%e4%bd%95%e5%b0%86txt%e8%bd%ac%e6%8d%a2%e4%b8%baarff","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1045671.html","title":{"rendered":"python\u5982\u4f55\u5c06txt\u8f6c\u6362\u4e3aarff"},"content":{"rendered":"

\"python\u5982\u4f55\u5c06txt\u8f6c\u6362\u4e3aarff\"<\/p>\n

\u5c06txt\u8f6c\u6362\u4e3aarff\u7684\u6b65\u9aa4\u5305\u62ec\u8bfb\u53d6txt\u6587\u4ef6\u3001\u89e3\u6790\u5185\u5bb9\u3001\u521b\u5efaarff\u683c\u5f0f\u5e76\u5199\u5165\u6587\u4ef6\u3002\u9700\u8981\u4f7f\u7528Python\u4e2d\u7684pandas<\/code>\u5e93\u6765\u7b80\u5316\u8fd9\u4e00\u8fc7\u7a0b\u3002<\/strong><\/p>\n<\/p>\n

\u8be6\u7ec6\u63cf\u8ff0\uff1a\u9996\u5148\uff0c\u4f60\u9700\u8981\u8bfb\u53d6txt\u6587\u4ef6\u7684\u5185\u5bb9\u5e76\u5c06\u5176\u89e3\u6790\u4e3a\u6570\u636e\u6846\u67b6\uff0c\u5176\u6b21\uff0c\u521b\u5efaARFF\u6587\u4ef6\u7684\u5934\u4fe1\u606f\uff0c\u6700\u540e\u5c06\u6570\u636e\u5199\u5165ARFF\u6587\u4ef6\u4e2d\u3002<\/strong><\/p>\n<\/p>\n

\u4e00\u3001\u8bfb\u53d6txt\u6587\u4ef6<\/p>\n<\/p>\n

Python\u63d0\u4f9b\u4e86\u591a\u79cd\u8bfb\u53d6\u6587\u672c\u6587\u4ef6\u7684\u65b9\u5f0f\uff0c\u53ef\u4ee5\u4f7f\u7528\u5185\u5efa\u7684open<\/code>\u51fd\u6570\u6216\u8005pandas<\/code>\u5e93\u4e2d\u7684read_csv<\/code>\u51fd\u6570\u6765\u8bfb\u53d6txt\u6587\u4ef6\u7684\u5185\u5bb9\u3002<\/p>\n<\/p>\n

import pandas as pd<\/p>\n
\u5047\u8bbetxt\u6587\u4ef6\u4e2d\u7684\u6570\u636e\u662f\u4ee5\u9017\u53f7\u5206\u9694\u7684<\/strong><\/h2>\n
txt_file = 'data.txt'<\/p>\n
data = pd.read_csv(txt_file, delimiter=',')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u521b\u5efaARFF\u6587\u4ef6\u7684\u5934\u4fe1\u606f<\/p>\n<\/p>\n
ARFF\u6587\u4ef6\u7684\u5934\u4fe1\u606f\u5305\u542b\u5173\u7cfb\u540d\u548c\u5404\u4e2a\u5c5e\u6027\u7684\u5b9a\u4e49\u3002\u53ef\u4ee5\u901a\u8fc7\u904d\u5386\u6570\u636e\u6846\u67b6\u7684\u5217\u540d\u6765\u751f\u6210\u8fd9\u4e9b\u4fe1\u606f\u3002<\/p>\n<\/p>\n
# \u521b\u5efaARFF\u6587\u4ef6\u5934\u4fe1\u606f<\/p>\n
arff_header = '@RELATION data\\n\\n'<\/p>\n
for column in data.columns:<\/p>\n
    arff_header += f'@ATTRIBUTE {column} NUMERIC\\n'<\/p>\n
arff_header += '\\n@DATA\\n'<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u5c06\u6570\u636e\u5199\u5165ARFF\u6587\u4ef6<\/p>\n<\/p>\n
\u5c06\u6570\u636e\u6846\u67b6\u7684\u6570\u636e\u90e8\u5206\u8f6c\u6362\u4e3a\u5b57\u7b26\u4e32\uff0c\u5e76\u5c06\u5176\u9644\u52a0\u5230ARFF\u5934\u4fe1\u606f\u4e2d\uff0c\u6700\u540e\u5199\u5165ARFF\u6587\u4ef6\u3002<\/p>\n<\/p>\n
# \u5c06\u6570\u636e\u5199\u5165ARFF\u6587\u4ef6<\/p>\n
arff_file = 'data.arff'<\/p>\n
with open(arff_file, 'w') as f:<\/p>\n
    f.write(arff_header)<\/p>\n
    for index, row in data.iterrows():<\/p>\n
        f.write(','.join([str(i) for i in row]) + '\\n')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u5b8c\u6574\u4ee3\u7801\u793a\u4f8b<\/p>\n<\/p>\n
\u4ee5\u4e0b\u662f\u5c06txt\u8f6c\u6362\u4e3aarff\u7684\u5b8c\u6574\u4ee3\u7801\u793a\u4f8b\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
def txt_to_arff(txt_file, arff_file):<\/p>\n
    # \u8bfb\u53d6txt\u6587\u4ef6<\/p>\n
    data = pd.read_csv(txt_file, delimiter=',')<\/p>\n
    # \u521b\u5efaARFF\u6587\u4ef6\u5934\u4fe1\u606f<\/p>\n
    arff_header = '@RELATION data\\n\\n'<\/p>\n
    for column in data.columns:<\/p>\n
        arff_header += f'@ATTRIBUTE {column} NUMERIC\\n'<\/p>\n
    arff_header += '\\n@DATA\\n'<\/p>\n
    # \u5c06\u6570\u636e\u5199\u5165ARFF\u6587\u4ef6<\/p>\n
    with open(arff_file, 'w') as f:<\/p>\n
        f.write(arff_header)<\/p>\n
        for index, row in data.iterrows():<\/p>\n
            f.write(','.join([str(i) for i in row]) + '\\n')<\/p>\n
\u4f7f\u7528\u793a\u4f8b<\/strong><\/h2>\n
txt_file = 'data.txt'<\/p>\n
arff_file = 'data.arff'<\/p>\n
txt_to_arff(txt_file, arff_file)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001\u8fdb\u4e00\u6b65\u4f18\u5316<\/p>\n<\/p>\n
\u5728\u5b9e\u9645\u4f7f\u7528\u4e2d\uff0ctxt\u6587\u4ef6\u4e2d\u7684\u6570\u636e\u683c\u5f0f\u53ef\u80fd\u66f4\u52a0\u590d\u6742\uff0c\u4f8b\u5982\u5305\u542b\u7f3a\u5931\u503c\u3001\u4e0d\u540c\u7c7b\u578b\u7684\u6570\u636e\uff08\u5b57\u7b26\u4e32\u3001\u6570\u503c\u7b49\uff09\u3002\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u53ef\u4ee5\u8fdb\u4e00\u6b65\u4f18\u5316\u4ee3\u7801\uff0c\u5904\u7406\u8fd9\u4e9b\u7279\u6b8a\u60c5\u51b5\u3002<\/p>\n<\/p>\n
def txt_to_arff(txt_file, arff_file, delimiter=',', missing_value='?'):<\/p>\n
    # \u8bfb\u53d6txt\u6587\u4ef6<\/p>\n
    data = pd.read_csv(txt_file, delimiter=delimiter)<\/p>\n
    # \u521b\u5efaARFF\u6587\u4ef6\u5934\u4fe1\u606f<\/p>\n
    arff_header = '@RELATION data\\n\\n'<\/p>\n
    for column in data.columns:<\/p>\n
        if data[column].dtype == 'int64' or data[column].dtype == 'float64':<\/p>\n
            arff_header += f'@ATTRIBUTE {column} NUMERIC\\n'<\/p>\n
        else:<\/p>\n
            arff_header += f'@ATTRIBUTE {column} STRING\\n'<\/p>\n
    arff_header += '\\n@DATA\\n'<\/p>\n
    # \u5c06\u6570\u636e\u5199\u5165ARFF\u6587\u4ef6<\/p>\n
    with open(arff_file, 'w') as f:<\/p>\n
        f.write(arff_header)<\/p>\n
        for index, row in data.iterrows():<\/p>\n
            row_data = []<\/p>\n
            for item in row:<\/p>\n
                if pd.isnull(item):<\/p>\n
                    row_data.append(missing_value)<\/p>\n
                else:<\/p>\n
                    row_data.append(str(item))<\/p>\n
            f.write(','.join(row_data) + '\\n')<\/p>\n
\u4f7f\u7528\u793a\u4f8b<\/strong><\/h2>\n
txt_file = 'data.txt'<\/p>\n
arff_file = 'data.arff'<\/p>\n
txt_to_arff(txt_file, arff_file)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u8fd9\u4e9b\u6b65\u9aa4\uff0c\u6211\u4eec\u53ef\u4ee5\u5c06txt\u6587\u4ef6\u6210\u529f\u8f6c\u6362\u4e3aarff\u6587\u4ef6\u3002\u4ee5\u4e0a\u4ee3\u7801\u793a\u4f8b\u5c55\u793a\u4e86\u5982\u4f55\u5904\u7406\u6570\u503c\u548c\u5b57\u7b26\u4e32\u6570\u636e\uff0c\u5e76\u5904\u7406\u7f3a\u5931\u503c\u3002\u5e0c\u671b\u8fd9\u4e9b\u5185\u5bb9\u5bf9\u4f60\u6709\u6240\u5e2e\u52a9\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u8bfb\u53d6txt\u6587\u4ef6\u5e76\u8f6c\u6362\u4e3aarff\u683c\u5f0f\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528pandas\u5e93\u6765\u8bfb\u53d6txt\u6587\u4ef6\uff0c\u5e76\u5c06\u5176\u8f6c\u6362\u4e3aarff\u683c\u5f0f\u3002\u9996\u5148\uff0c\u53ef\u4ee5\u4f7f\u7528pandas\u7684read_csv\u51fd\u6570\u6765\u8bfb\u53d6txt\u6587\u4ef6\u3002\u8bfb\u53d6\u5b8c\u540e\uff0c\u53ef\u4ee5\u5229\u7528scipy.io.arff\u6a21\u5757\u4e2d\u7684dump\u51fd\u6570\u5c06\u6570\u636e\u4fdd\u5b58\u4e3aarff\u6587\u4ef6\u3002\u8fd9\u4e2a\u8fc7\u7a0b\u4e0d\u4ec5\u7b80\u5355\uff0c\u800c\u4e14\u8fd8\u80fd\u5904\u7406\u5927\u591a\u6570\u6587\u672c\u6570\u636e\u683c\u5f0f\u3002<\/p>\n
\u8f6c\u6362txt\u6587\u4ef6\u4e3aarff\u65f6\u9700\u8981\u6ce8\u610f\u54ea\u4e9b\u683c\u5f0f\u8981\u6c42\uff1f<\/strong>
\u5728\u5c06txt\u6587\u4ef6\u8f6c\u6362\u4e3aarff\u683c\u5f0f\u4e4b\u524d\uff0c\u9700\u8981\u786e\u4fdd\u6570\u636e\u6ee1\u8db3arff\u6587\u4ef6\u7684\u683c\u5f0f\u8981\u6c42\u3002arff\u6587\u4ef6\u901a\u5e38\u5305\u542b\u4e00\u4e2a@relation\u58f0\u660e\u3001@attribute\u58f0\u660e\u548c@data\u90e8\u5206\u3002\u5728txt\u6587\u4ef6\u4e2d\uff0c\u6570\u636e\u5e94\u4ee5\u9017\u53f7\u6216\u7a7a\u683c\u5206\u9694\uff0c\u5e76\u786e\u4fdd\u6ca1\u6709\u7f3a\u5931\u503c\u3002\u5982\u679c\u6570\u636e\u5305\u542b\u5b57\u7b26\u4e32\u7c7b\u578b\u7684\u5c5e\u6027\uff0c\u9700\u5728arff\u6587\u4ef6\u4e2d\u6b63\u786e\u5730\u5f15\u7528\u5b57\u7b26\u4e32\u3002<\/p>\n
\u4f7f\u7528Python\u8f6c\u6362txt\u5230arff\u7684\u5e38\u89c1\u5e93\u6709\u54ea\u4e9b\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u6709\u51e0\u4e2a\u5e93\u53ef\u4ee5\u5e2e\u52a9\u5b9e\u73b0txt\u5230arff\u7684\u8f6c\u6362\u3002\u5e38\u7528\u7684\u5305\u62ecpandas\u3001scipy\u548cliac-arff\u3002pandas\u65b9\u4fbf\u7528\u4e8e\u6570\u636e\u8bfb\u53d6\u548c\u5904\u7406\uff0cscipy\u63d0\u4f9b\u4e86arff\u6587\u4ef6\u7684\u8bfb\u5199\u529f\u80fd\uff0c\u800cliac-arff\u5e93\u5219\u4e13\u6ce8\u4e8earff\u683c\u5f0f\u7684\u5904\u7406\uff0c\u80fd\u591f\u63d0\u4f9b\u66f4\u591a\u7684\u529f\u80fd\u9009\u9879\u548c\u7075\u6d3b\u6027\u3002\u9009\u62e9\u9002\u5408\u81ea\u5df1\u9700\u6c42\u7684\u5e93\uff0c\u53ef\u4ee5\u63d0\u9ad8\u8f6c\u6362\u6548\u7387\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5c06txt\u8f6c\u6362\u4e3aarff\u7684\u6b65\u9aa4\u5305\u62ec\u8bfb\u53d6txt\u6587\u4ef6\u3001\u89e3\u6790\u5185\u5bb9\u3001\u521b\u5efaarff\u683c\u5f0f\u5e76\u5199\u5165\u6587\u4ef6\u3002\u9700\u8981\u4f7f\u7528Python\u4e2d\u7684 […]","protected":false},"author":3,"featured_media":1045697,"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\/1045671"}],"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=1045671"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1045671\/revisions"}],"predecessor-version":[{"id":1045700,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1045671\/revisions\/1045700"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1045697"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1045671"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1045671"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1045671"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}