{"id":989223,"date":"2024-12-27T08:09:39","date_gmt":"2024-12-27T00:09:39","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/989223.html"},"modified":"2024-12-27T08:09:45","modified_gmt":"2024-12-27T00:09:45","slug":"python%e5%a6%82%e4%bd%95%e8%af%bb%e5%8f%96%e6%b5%b7%e9%87%8f%e6%95%b0%e6%8d%ae","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/989223.html","title":{"rendered":"Python\u5982\u4f55\u8bfb\u53d6\u6d77\u91cf\u6570\u636e"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25064517\/c0774acd-0e67-490f-bd8f-1d6ece275fdc.webp\" alt=\"Python\u5982\u4f55\u8bfb\u53d6\u6d77\u91cf\u6570\u636e\" \/><\/p>\n<p><p> <strong>Python\u8bfb\u53d6\u6d77\u91cf\u6570\u636e\u7684\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528\u5206\u5757\u8bfb\u53d6\u3001\u4f7f\u7528\u751f\u6210\u5668\u3001\u4f18\u5316\u6570\u636e\u7ed3\u6784\u3001\u4f7f\u7528\u9002\u5408\u7684\u5e93\uff08\u5982Pandas\u3001Dask\uff09\u4ee5\u53ca\u5e76\u884c\u5904\u7406\u3002<\/strong>\u5176\u4e2d\uff0c\u5206\u5757\u8bfb\u53d6\u662f\u4e00\u79cd\u5e38\u7528\u7684\u65b9\u6cd5\uff0c\u5b83\u901a\u8fc7\u5c06\u5927\u6587\u4ef6\u5206\u6210\u5c0f\u5757\u6765\u9010\u6b65\u8bfb\u53d6\uff0c\u4ee5\u51cf\u5c11\u5185\u5b58\u4f7f\u7528\u3002\u4e0b\u9762\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u4e9b\u65b9\u6cd5\u3002<\/p>\n<\/p>\n<p><p>\u4e00\u3001\u5206\u5757\u8bfb\u53d6<\/p>\n<\/p>\n<p><p>\u5206\u5757\u8bfb\u53d6\u662f\u5904\u7406\u5927\u6587\u4ef6\u65f6\u7684\u4e00\u79cd\u6709\u6548\u65b9\u6cd5\u3002Python\u7684\u5185\u7f6e\u6587\u4ef6\u5904\u7406\u529f\u80fd\u53ef\u4ee5\u901a\u8fc7\u9010\u884c\u8bfb\u53d6\u6216\u6307\u5b9a\u5757\u5927\u5c0f\u8bfb\u53d6\u6587\u4ef6\uff0c\u4ece\u800c\u51cf\u5c11\u5185\u5b58\u5360\u7528\u3002<\/p>\n<\/p>\n<ol>\n<li><strong>\u9010\u884c\u8bfb\u53d6<\/strong><\/li>\n<\/ol>\n<p><p>\u9010\u884c\u8bfb\u53d6\u662f\u5904\u7406\u6587\u672c\u6587\u4ef6\u7684\u7b80\u5355\u800c\u6709\u6548\u7684\u65b9\u6cd5\u3002\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u53ef\u4ee5\u5728\u4fdd\u6301\u8f83\u4f4e\u5185\u5b58\u5360\u7528\u7684\u60c5\u51b5\u4e0b\u5904\u7406\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">with open(&#39;large_file.txt&#39;, &#39;r&#39;) as file:<\/p>\n<p>    for line in file:<\/p>\n<p>        # \u5904\u7406\u6bcf\u4e00\u884c\u6570\u636e<\/p>\n<p>        process(line)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u79cd\u65b9\u6cd5\u9002\u7528\u4e8e\u5904\u7406\u884c\u7ed3\u6784\u5316\u7684\u6570\u636e\uff0c\u4f8b\u5982\u65e5\u5fd7\u6587\u4ef6\u3002\u9010\u884c\u8bfb\u53d6\u7684\u4f18\u52bf\u5728\u4e8e\u7b80\u5355\u6613\u7528\uff0c\u4f46\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\u53ef\u80fd\u9700\u8981\u66f4\u590d\u6742\u7684\u8bfb\u53d6\u903b\u8f91\u3002<\/p>\n<\/p>\n<ol start=\"2\">\n<li><strong>\u6307\u5b9a\u5757\u5927\u5c0f\u8bfb\u53d6<\/strong><\/li>\n<\/ol>\n<p><p>\u5bf9\u4e8e\u4e8c\u8fdb\u5236\u6587\u4ef6\u6216\u9700\u8981\u66f4\u590d\u6742\u5904\u7406\u7684\u6587\u4ef6\uff0c\u53ef\u4ee5\u4f7f\u7528\u6307\u5b9a\u5757\u5927\u5c0f\u7684\u65b9\u6cd5\u8bfb\u53d6\u3002\u901a\u8fc7\u5b9a\u4e49\u5757\u5927\u5c0f\uff0c\u53ef\u4ee5\u63a7\u5236\u6bcf\u6b21\u8bfb\u53d6\u7684\u6570\u636e\u91cf\uff0c\u4ece\u800c\u66f4\u597d\u5730\u7ba1\u7406\u5185\u5b58\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">def read_in_chunks(file_object, chunk_size=1024):<\/p>\n<p>    &quot;&quot;&quot;Lazy function (generator) to read a file piece by piece.&quot;&quot;&quot;<\/p>\n<p>    while True:<\/p>\n<p>        data = file_object.read(chunk_size)<\/p>\n<p>        if not data:<\/p>\n<p>            break<\/p>\n<p>        yield data<\/p>\n<p>with open(&#39;large_file.bin&#39;, &#39;rb&#39;) as f:<\/p>\n<p>    for chunk in read_in_chunks(f):<\/p>\n<p>        # \u5904\u7406\u6bcf\u4e2a\u6570\u636e\u5757<\/p>\n<p>        process(chunk)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u79cd\u65b9\u6cd5\u53ef\u4ee5\u7075\u6d3b\u8c03\u6574\u5757\u5927\u5c0f\uff0c\u4ee5\u9002\u5e94\u5185\u5b58\u5bb9\u91cf\u548c\u6587\u4ef6\u7c7b\u578b\u3002<\/p>\n<\/p>\n<p><p>\u4e8c\u3001\u4f7f\u7528\u751f\u6210\u5668<\/p>\n<\/p>\n<p><p>\u751f\u6210\u5668\u662fPython\u4e2d\u4e00\u79cd\u5f3a\u5927\u7684\u5de5\u5177\uff0c\u9002\u5408\u5904\u7406\u6d41\u5f0f\u6570\u636e\u3002\u751f\u6210\u5668\u80fd\u591f\u5ef6\u8fdf\u8ba1\u7b97\u5e76\u8282\u7701\u5185\u5b58\uff0c\u56e0\u4e3a\u5b83\u4eec\u4ec5\u5728\u9700\u8981\u65f6\u751f\u6210\u6570\u636e\u3002<\/p>\n<\/p>\n<ol>\n<li><strong>\u751f\u6210\u5668\u8868\u8fbe\u5f0f<\/strong><\/li>\n<\/ol>\n<p><p>\u751f\u6210\u5668\u8868\u8fbe\u5f0f\u7c7b\u4f3c\u4e8e\u5217\u8868\u63a8\u5bfc\u5f0f\uff0c\u4f46\u4e0d\u4e00\u6b21\u6027\u751f\u6210\u6240\u6709\u6570\u636e\u3002\u901a\u8fc7\u4f7f\u7528\u751f\u6210\u5668\u8868\u8fbe\u5f0f\uff0c\u53ef\u4ee5\u9010\u6b65\u5904\u7406\u6570\u636e\uff0c\u51cf\u5c11\u5185\u5b58\u4f7f\u7528\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">def process_large_data(file_path):<\/p>\n<p>    with open(file_path, &#39;r&#39;) as file:<\/p>\n<p>        return (process(line) for line in file)<\/p>\n<p>for result in process_large_data(&#39;large_file.txt&#39;):<\/p>\n<p>    # \u5904\u7406\u7ed3\u679c<\/p>\n<p>    handle(result)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"2\">\n<li><strong>\u4f7f\u7528yield\u5173\u952e\u5b57<\/strong><\/li>\n<\/ol>\n<p><p>\u4f7f\u7528<code>yield<\/code>\u5173\u952e\u5b57\u53ef\u4ee5\u521b\u5efa\u4e00\u4e2a\u751f\u6210\u5668\u51fd\u6570\uff0c\u8fd9\u79cd\u65b9\u6cd5\u5141\u8bb8\u51fd\u6570\u5728\u6bcf\u6b21\u751f\u6210\u4e00\u4e2a\u503c\u540e\u6682\u505c\u5e76\u4fdd\u6301\u72b6\u6001\uff0c\u76f4\u5230\u4e0b\u6b21\u8c03\u7528\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">def process_large_data(file_path):<\/p>\n<p>    with open(file_path, &#39;r&#39;) as file:<\/p>\n<p>        for line in file:<\/p>\n<p>            yield process(line)<\/p>\n<p>for result in process_large_data(&#39;large_file.txt&#39;):<\/p>\n<p>    # \u5904\u7406\u7ed3\u679c<\/p>\n<p>    handle(result)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u751f\u6210\u5668\u65b9\u6cd5\u7279\u522b\u9002\u5408\u4e8e\u9700\u8981\u5728\u4e0d\u540c\u65f6\u95f4\u70b9\u5904\u7406\u6570\u636e\u7684\u573a\u666f\u3002<\/p>\n<\/p>\n<p><p>\u4e09\u3001\u4f18\u5316\u6570\u636e\u7ed3\u6784<\/p>\n<\/p>\n<p><p>\u5728\u5904\u7406\u6d77\u91cf\u6570\u636e\u65f6\uff0c\u9009\u62e9\u5408\u9002\u7684\u6570\u636e\u7ed3\u6784\u53ef\u4ee5\u6709\u6548\u63d0\u9ad8\u7a0b\u5e8f\u6027\u80fd\u548c\u5185\u5b58\u6548\u7387\u3002Python\u63d0\u4f9b\u4e86\u591a\u79cd\u6570\u636e\u7ed3\u6784\uff0c\u4e0d\u540c\u7684\u6570\u636e\u7ed3\u6784\u9002\u7528\u4e8e\u4e0d\u540c\u7684\u573a\u666f\u3002<\/p>\n<\/p>\n<ol>\n<li><strong>\u9009\u62e9\u5408\u9002\u7684\u6570\u636e\u7ed3\u6784<\/strong><\/li>\n<\/ol>\n<p><p>Python\u4e2d\u7684\u5217\u8868\u3001\u5b57\u5178\u3001\u96c6\u5408\u7b49\u6570\u636e\u7ed3\u6784\u5404\u6709\u4f18\u52bf\u3002\u5728\u5904\u7406\u5927\u91cf\u6570\u636e\u65f6\uff0c\u4e86\u89e3\u6bcf\u79cd\u6570\u636e\u7ed3\u6784\u7684\u65f6\u95f4\u590d\u6742\u5ea6\u548c\u5185\u5b58\u5f00\u9500\uff0c\u53ef\u4ee5\u5e2e\u52a9\u9009\u62e9\u6700\u4f73\u65b9\u6848\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n<ul>\n<li><strong>\u5217\u8868<\/strong>\uff1a\u9002\u5408\u6709\u5e8f\u6570\u636e\u7684\u5b58\u50a8\u548c\u8fed\u4ee3\uff0c\u4f46\u5728\u63d2\u5165\u548c\u5220\u9664\u64cd\u4f5c\u4e0a\u53ef\u80fd\u8f83\u6162\u3002<\/li>\n<li><strong>\u5b57\u5178<\/strong>\uff1a\u9002\u5408\u952e\u503c\u5bf9\u5b58\u50a8\uff0c\u67e5\u627e\u901f\u5ea6\u5feb\uff0c\u4f46\u5360\u7528\u5185\u5b58\u8f83\u591a\u3002<\/li>\n<li><strong>\u96c6\u5408<\/strong>\uff1a\u9002\u5408\u5b58\u50a8\u552f\u4e00\u5143\u7d20\uff0c\u652f\u6301\u9ad8\u6548\u7684\u96c6\u5408\u8fd0\u7b97\u3002<\/li>\n<\/ul>\n<ol start=\"2\">\n<li><strong>\u4f7f\u7528\u5185\u5b58\u9ad8\u6548\u7684\u5e93<\/strong><\/li>\n<\/ol>\n<p><p>\u9664\u4e86\u5185\u7f6e\u6570\u636e\u7ed3\u6784\uff0cPython\u8fd8\u6709\u4e00\u4e9b\u5916\u90e8\u5e93\u63d0\u4f9b\u4e86\u66f4\u9ad8\u6548\u7684\u6570\u636e\u7ed3\u6784\u3002\u4f8b\u5982\uff0c<code>numpy<\/code>\u5e93\u63d0\u4f9b\u4e86\u9ad8\u6548\u7684\u6570\u7ec4\u8fd0\u7b97\uff0c\u9002\u5408\u4e8e\u6570\u503c\u8ba1\u7b97\u548c\u77e9\u9635\u64cd\u4f5c\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<h2><strong>\u4f7f\u7528numpy\u6570\u7ec4\u5b58\u50a8\u548c\u5904\u7406\u5927\u91cf\u6570\u503c\u6570\u636e<\/strong><\/h2>\n<p>data = np.loadtxt(&#39;large_data.csv&#39;, delimiter=&#39;,&#39;)<\/p>\n<p>result = np.mean(data, axis=0)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u56db\u3001\u4f7f\u7528\u5408\u9002\u7684\u5e93\uff08\u5982Pandas\u3001Dask\uff09<\/p>\n<\/p>\n<p><p>Python\u7684\u751f\u6001\u7cfb\u7edf\u4e2d\u6709\u8bb8\u591a\u5e93\u4e13\u95e8\u7528\u4e8e\u5904\u7406\u5927\u6570\u636e\u96c6\uff0cPandas\u548cDask\u662f\u5176\u4e2d\u7684\u4e24\u4e2a\u5e38\u7528\u5e93\u3002<\/p>\n<\/p>\n<ol>\n<li><strong>Pandas<\/strong><\/li>\n<\/ol>\n<p><p>Pandas\u662fPython\u4e2d\u7528\u4e8e\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u7684\u5f3a\u5927\u5e93\u3002\u5b83\u63d0\u4f9b\u4e86DataFrame\u5bf9\u8c61\uff0c\u53ef\u4ee5\u9ad8\u6548\u5730\u5904\u7406\u8868\u683c\u6570\u636e\u3002<\/p>\n<\/p>\n<ul>\n<li><strong>\u5206\u5757\u8bfb\u53d6<\/strong><\/li>\n<\/ul>\n<p><p>Pandas\u652f\u6301\u6309\u5757\u8bfb\u53d6\u6570\u636e\u6587\u4ef6\uff0c\u8fd9\u5bf9\u4e8e\u5904\u7406\u5927\u6570\u636e\u96c6\u975e\u5e38\u6709\u7528\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<p>for chunk in pd.read_csv(&#39;large_file.csv&#39;, chunksize=1000):<\/p>\n<p>    # \u5904\u7406\u6bcf\u4e2a\u6570\u636e\u5757<\/p>\n<p>    process(chunk)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ul>\n<li><strong>\u4f18\u5316\u64cd\u4f5c<\/strong><\/li>\n<\/ul>\n<p><p>Pandas\u8fd8\u63d0\u4f9b\u4e86\u8bb8\u591a\u4f18\u5316\u64cd\u4f5c\uff0c\u5982\u77e2\u91cf\u5316\u8fd0\u7b97\uff0c\u53ef\u4ee5\u52a0\u901f\u6570\u636e\u5904\u7406\u3002<\/p>\n<\/p>\n<ol start=\"2\">\n<li><strong>Dask<\/strong><\/li>\n<\/ol>\n<p><p>Dask\u662f\u4e00\u4e2a\u5e76\u884c\u8ba1\u7b97\u5e93\uff0c\u4e13\u4e3a\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u800c\u8bbe\u8ba1\u3002\u5b83\u4e0ePandas\u517c\u5bb9\uff0c\u5e76\u63d0\u4f9b\u4e86\u7c7b\u4f3c\u7684\u63a5\u53e3\u3002<\/p>\n<\/p>\n<ul>\n<li><strong>\u5e76\u884c\u8bfb\u53d6\u548c\u8ba1\u7b97<\/strong><\/li>\n<\/ul>\n<p><p>Dask\u5141\u8bb8\u5e76\u884c\u8bfb\u53d6\u548c\u5904\u7406\u6570\u636e\uff0c\u5145\u5206\u5229\u7528\u591a\u6838CPU\u7684\u4f18\u52bf\u3002\u4f8b\u5982\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import dask.dataframe as dd<\/p>\n<p>df = dd.read_csv(&#39;large_file.csv&#39;)<\/p>\n<p>result = df.groupby(&#39;column&#39;).sum().compute()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ul>\n<li><strong>\u5ef6\u8fdf\u8ba1\u7b97<\/strong><\/li>\n<\/ul>\n<p><p>Dask\u91c7\u7528\u5ef6\u8fdf\u8ba1\u7b97\u6a21\u578b\uff0c\u4ec5\u5728\u9700\u8981\u65f6\u6267\u884c\u8ba1\u7b97\uff0c\u4ece\u800c\u63d0\u9ad8\u6548\u7387\u3002<\/p>\n<\/p>\n<p><p>\u4e94\u3001\u5e76\u884c\u5904\u7406<\/p>\n<\/p>\n<p><p>\u5728\u5904\u7406\u6d77\u91cf\u6570\u636e\u65f6\uff0c\u5e76\u884c\u5904\u7406\u53ef\u4ee5\u663e\u8457\u63d0\u9ad8\u6027\u80fd\u3002Python\u63d0\u4f9b\u4e86\u591a\u79cd\u5e76\u884c\u5904\u7406\u65b9\u6cd5\uff0c\u5305\u62ec\u591a\u7ebf\u7a0b\u3001\u591a\u8fdb\u7a0b\u548c\u5206\u5e03\u5f0f\u8ba1\u7b97\u3002<\/p>\n<\/p>\n<ol>\n<li><strong>\u591a\u7ebf\u7a0b\u548c\u591a\u8fdb\u7a0b<\/strong><\/li>\n<\/ol>\n<p><p>Python\u7684<code>threading<\/code>\u548c<code>multiprocessing<\/code>\u6a21\u5757\u53ef\u4ee5\u7528\u4e8e\u5e76\u884c\u5904\u7406\u4efb\u52a1\u3002\u5bf9\u4e8eI\/O\u5bc6\u96c6\u578b\u4efb\u52a1\uff0c\u591a\u7ebf\u7a0b\u662f\u4e00\u4e2a\u4e0d\u9519\u7684\u9009\u62e9\uff1b\u800c\u5bf9\u4e8eCPU\u5bc6\u96c6\u578b\u4efb\u52a1\uff0c\u591a\u8fdb\u7a0b\u901a\u5e38\u8868\u73b0\u66f4\u4f73\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from multiprocessing import Pool<\/p>\n<p>def process_data(chunk):<\/p>\n<p>    # \u5904\u7406\u6570\u636e\u5757<\/p>\n<p>    return result<\/p>\n<p>with Pool(processes=4) as pool:<\/p>\n<p>    results = pool.map(process_data, data_chunks)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<ol start=\"2\">\n<li><strong>\u5206\u5e03\u5f0f\u8ba1\u7b97<\/strong><\/li>\n<\/ol>\n<p><p>\u5bf9\u4e8e\u9700\u8981\u8de8\u591a\u53f0\u673a\u5668\u5904\u7406\u7684\u6570\u636e\uff0c\u53ef\u4ee5\u4f7f\u7528\u5206\u5e03\u5f0f\u8ba1\u7b97\u6846\u67b6\uff0c\u5982Dask Distributed\u6216Apache Spark\u3002<\/p>\n<\/p>\n<ul>\n<li><strong>Dask Distributed<\/strong><\/li>\n<\/ul>\n<p><p>Dask Distributed\u6269\u5c55\u4e86Dask\u7684\u5e76\u884c\u8ba1\u7b97\u80fd\u529b\uff0c\u53ef\u4ee5\u5728\u96c6\u7fa4\u4e0a\u8fd0\u884c\u5927\u89c4\u6a21\u8ba1\u7b97\u3002<\/p>\n<\/p>\n<ul>\n<li><strong>Apache Spark<\/strong><\/li>\n<\/ul>\n<p><p>Spark\u662f\u4e00\u4e2a\u5e7f\u6cdb\u4f7f\u7528\u7684\u5927\u6570\u636e\u5904\u7406\u6846\u67b6\uff0c\u652f\u6301Python API\uff08PySpark\uff09\u3002\u5b83\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u80fd\u529b\u3002<\/p>\n<\/p>\n<p><p>\u516d\u3001\u603b\u7ed3<\/p>\n<\/p>\n<p><p>\u5728Python\u4e2d\u8bfb\u53d6\u6d77\u91cf\u6570\u636e\u65f6\uff0c\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u548c\u5de5\u5177\u81f3\u5173\u91cd\u8981\u3002\u901a\u8fc7\u5206\u5757\u8bfb\u53d6\u3001\u4f7f\u7528\u751f\u6210\u5668\u3001\u4f18\u5316\u6570\u636e\u7ed3\u6784\u3001\u91c7\u7528\u9002\u5408\u7684\u5e93\uff08\u5982Pandas\u3001Dask\uff09\u4ee5\u53ca\u5e76\u884c\u5904\u7406\uff0c\u53ef\u4ee5\u6709\u6548\u5e94\u5bf9\u5927\u6570\u636e\u5904\u7406\u7684\u6311\u6218\u3002\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u6839\u636e\u5177\u4f53\u7684\u6570\u636e\u89c4\u6a21\u3001\u5904\u7406\u9700\u6c42\u548c\u8ba1\u7b97\u8d44\u6e90\uff0c\u7075\u6d3b\u7ec4\u5408\u8fd9\u4e9b\u65b9\u6cd5\u548c\u6280\u672f\uff0c\u80fd\u591f\u663e\u8457\u63d0\u9ad8\u7a0b\u5e8f\u7684\u6027\u80fd\u548c\u6548\u7387\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u9009\u62e9\u5408\u9002\u7684\u5e93\u6765\u8bfb\u53d6\u6d77\u91cf\u6570\u636e\uff1f<\/strong><br \/>\u5728\u5904\u7406\u6d77\u91cf\u6570\u636e\u65f6\uff0c\u9009\u62e9\u5408\u9002\u7684\u5e93\u81f3\u5173\u91cd\u8981\u3002\u5e38\u7528\u7684\u5e93\u5305\u62ecPandas\u3001Dask\u548cPySpark\u3002Pandas\u9002\u7528\u4e8e\u4e2d\u7b49\u89c4\u6a21\u7684\u6570\u636e\uff0cDask\u5219\u80fd\u591f\u5904\u7406\u66f4\u5927\u7684\u6570\u636e\u96c6\uff0c\u652f\u6301\u5206\u5e03\u5f0f\u8ba1\u7b97\u3002\u800cPySpark\u5219\u662f\u9488\u5bf9\u5927\u6570\u636e\u73af\u5883\u7684\u5f3a\u5927\u5de5\u5177\uff0c\u80fd\u591f\u5728\u96c6\u7fa4\u4e0a\u5e76\u884c\u5904\u7406\u6570\u636e\u3002\u6839\u636e\u6570\u636e\u7684\u89c4\u6a21\u548c\u5b58\u50a8\u65b9\u5f0f\uff0c\u9009\u62e9\u6700\u9002\u5408\u7684\u5e93\u53ef\u4ee5\u63d0\u5347\u8bfb\u53d6\u6548\u7387\u3002<\/p>\n<p><strong>\u8bfb\u53d6\u6d77\u91cf\u6570\u636e\u65f6\u6709\u4ec0\u4e48\u6027\u80fd\u4f18\u5316\u7684\u5efa\u8bae\uff1f<\/strong><br \/>\u4e3a\u4e86\u63d0\u9ad8\u8bfb\u53d6\u6d77\u91cf\u6570\u636e\u7684\u6027\u80fd\uff0c\u53ef\u4ee5\u91c7\u53d6\u51e0\u79cd\u65b9\u6cd5\u3002\u9996\u5148\uff0c\u8003\u8651\u4f7f\u7528\u5206\u5757\u8bfb\u53d6\u6570\u636e\uff0c\u6bd4\u5982\u4f7f\u7528Pandas\u7684<code>read_csv()<\/code>\u65f6\uff0c\u8bbe\u7f6e<code>chunksize<\/code>\u53c2\u6570\uff0c\u53ef\u4ee5\u5206\u5757\u5904\u7406\u6570\u636e\u3002\u5176\u6b21\uff0c\u4f18\u5316\u6570\u636e\u683c\u5f0f\uff0c\u4f8b\u5982\u4f7f\u7528Parquet\u6216Feather\u683c\u5f0f\uff0c\u8fd9\u4e9b\u683c\u5f0f\u5728\u8bfb\u53d6\u65f6\u66f4\u9ad8\u6548\u3002\u6700\u540e\uff0c\u5408\u7406\u5229\u7528\u5185\u5b58\uff0c\u4f8b\u5982\u901a\u8fc7\u8c03\u6574\u6570\u636e\u7c7b\u578b\u6765\u51cf\u5c11\u5185\u5b58\u5360\u7528\uff0c\u907f\u514d\u4e0d\u5fc5\u8981\u7684\u5185\u5b58\u6ea2\u51fa\u3002<\/p>\n<p><strong>\u5982\u4f55\u5904\u7406\u8bfb\u53d6\u6d77\u91cf\u6570\u636e\u65f6\u7684\u5185\u5b58\u4e0d\u8db3\u95ee\u9898\uff1f<\/strong><br \/>\u5728\u8bfb\u53d6\u6d77\u91cf\u6570\u636e\u65f6\uff0c\u5185\u5b58\u4e0d\u8db3\u662f\u4e00\u4e2a\u5e38\u89c1\u95ee\u9898\u3002\u53ef\u4ee5\u901a\u8fc7\u5206\u5757\u8bfb\u53d6\u6570\u636e\u3001\u4f7f\u7528\u5185\u5b58\u6620\u5c04\uff08memory mapping\uff09\u7b49\u65b9\u6cd5\u6765\u89e3\u51b3\u3002\u6b64\u5916\uff0c\u4f7f\u7528\u751f\u6210\u5668\uff08generators\uff09\u53ef\u4ee5\u5728\u5904\u7406\u6570\u636e\u65f6\u6309\u9700\u52a0\u8f7d\uff0c\u907f\u514d\u4e00\u6b21\u6027\u5c06\u6570\u636e\u5168\u90e8\u8f7d\u5165\u5185\u5b58\u3002\u9488\u5bf9\u7279\u5b9a\u7684\u6570\u636e\u5206\u6790\u4efb\u52a1\uff0c\u53ef\u4ee5\u8003\u8651\u4f7f\u7528\u6570\u636e\u7b5b\u9009\u6280\u672f\uff0c\u4ec5\u52a0\u8f7d\u9700\u8981\u7684\u90e8\u5206\u6570\u636e\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u8bfb\u53d6\u6d77\u91cf\u6570\u636e\u7684\u65b9\u6cd5\u5305\u62ec\uff1a\u4f7f\u7528\u5206\u5757\u8bfb\u53d6\u3001\u4f7f\u7528\u751f\u6210\u5668\u3001\u4f18\u5316\u6570\u636e\u7ed3\u6784\u3001\u4f7f\u7528\u9002\u5408\u7684\u5e93\uff08\u5982Pandas\u3001Da [&hellip;]","protected":false},"author":3,"featured_media":989235,"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\/989223"}],"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=989223"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/989223\/revisions"}],"predecessor-version":[{"id":989241,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/989223\/revisions\/989241"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/989235"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=989223"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=989223"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=989223"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}