{"id":1056099,"date":"2024-12-31T14:56:51","date_gmt":"2024-12-31T06:56:51","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1056099.html"},"modified":"2024-12-31T14:56:53","modified_gmt":"2024-12-31T06:56:53","slug":"python%e5%a6%82%e4%bd%95%e5%b0%86%e9%a6%96%e8%a1%8c%e5%8f%98%e6%88%90%e5%88%97%e5%90%8d","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1056099.html","title":{"rendered":"python\u5982\u4f55\u5c06\u9996\u884c\u53d8\u6210\u5217\u540d"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-docs.pingcode.com\/wp-content\/uploads\/2024\/12\/8221fe63-6cf2-4270-8767-6ef7a7b76b03.webp?x-oss-process=image\/auto-orient,1\/format,webp\" alt=\"python\u5982\u4f55\u5c06\u9996\u884c\u53d8\u6210\u5217\u540d\" \/><\/p>\n<p><p> <strong>\u8981\u5c06Python\u4e2d\u7684\u9996\u884c\u53d8\u6210\u5217\u540d\uff0c\u4f60\u53ef\u4ee5\u4f7f\u7528\u591a\u79cd\u65b9\u6cd5\uff0c\u4f8b\u5982\u4f7f\u7528Pandas\u5e93\u3002<\/strong>Pandas\u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684\u6570\u636e\u5206\u6790\u548c\u64cd\u4f5c\u5e93\uff0c\u5b83\u63d0\u4f9b\u4e86\u4e30\u5bcc\u7684\u6570\u636e\u7ed3\u6784\u548c\u5de5\u5177\u6765\u5904\u7406\u6570\u636e\u3002<strong>\u4f60\u53ef\u4ee5\u4f7f\u7528<code>pandas.read_csv<\/code>\u51fd\u6570\u6765\u8bfb\u53d6CSV\u6587\u4ef6\uff0c\u5e76\u5c06\u9996\u884c\u8bbe\u7f6e\u4e3a\u5217\u540d\u3002<\/strong>\u4e0b\u9762\u6211\u4eec\u8be6\u7ec6\u4ecb\u7ecd\u8fd9\u79cd\u65b9\u6cd5\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<h2><strong>\u5047\u8bbe\u4f60\u7684CSV\u6587\u4ef6\u8def\u5f84\u4e3a&#39;file.csv&#39;<\/strong><\/h2>\n<p>file_path = &#39;file.csv&#39;<\/p>\n<h2><strong>\u8bfb\u53d6CSV\u6587\u4ef6\uff0c\u5e76\u5c06\u9996\u884c\u8bbe\u7f6e\u4e3a\u5217\u540d<\/strong><\/h2>\n<p>df = pd.read_csv(file_path)<\/p>\n<p>print(df)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u8fd9\u79cd\u65b9\u6cd5\u975e\u5e38\u7b80\u4fbf\uff0cPandas\u4f1a\u81ea\u52a8\u5c06CSV\u6587\u4ef6\u7684\u7b2c\u4e00\u884c\u4f5c\u4e3a\u5217\u540d\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u8ba8\u8bba\u5982\u4f55\u4f7f\u7528Pandas\u4ee5\u53ca\u5176\u4ed6\u65b9\u6cd5\u6765\u5c06\u9996\u884c\u53d8\u6210\u5217\u540d\u3002<\/p>\n<\/p>\n<p><h3>\u4e00\u3001Pandas\u5e93\u7684\u4f7f\u7528<\/h3>\n<\/p>\n<p><h4>1\u3001\u8bfb\u53d6CSV\u6587\u4ef6<\/h4>\n<\/p>\n<p><p>Pandas\u5e93\u4e2d\u7684<code>read_csv<\/code>\u51fd\u6570\u53ef\u4ee5\u5e2e\u52a9\u6211\u4eec\u8f7b\u677e\u8bfb\u53d6CSV\u6587\u4ef6\uff0c\u5e76\u5c06\u9996\u884c\u8bbe\u7f6e\u4e3a\u5217\u540d\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<h2><strong>\u5047\u8bbe\u4f60\u7684CSV\u6587\u4ef6\u8def\u5f84\u4e3a&#39;file.csv&#39;<\/strong><\/h2>\n<p>file_path = &#39;file.csv&#39;<\/p>\n<h2><strong>\u8bfb\u53d6CSV\u6587\u4ef6\uff0c\u5e76\u5c06\u9996\u884c\u8bbe\u7f6e\u4e3a\u5217\u540d<\/strong><\/h2>\n<p>df = pd.read_csv(file_path)<\/p>\n<p>print(df)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0cPandas\u4f1a\u81ea\u52a8\u5c06CSV\u6587\u4ef6\u7684\u7b2c\u4e00\u884c\u4f5c\u4e3a\u5217\u540d\u3002\u4f60\u53ef\u4ee5\u770b\u5230\uff0c\u6570\u636e\u6846<code>df<\/code>\u7684\u5217\u540d\u5df2\u7ecf\u8bbe\u7f6e\u4e3aCSV\u6587\u4ef6\u7684\u7b2c\u4e00\u884c\u3002<\/p>\n<\/p>\n<p><h4>2\u3001\u6307\u5b9a\u5217\u540d<\/h4>\n<\/p>\n<p><p>\u6709\u65f6\u5019\uff0c\u4f60\u53ef\u80fd\u9700\u8981\u624b\u52a8\u6307\u5b9a\u5217\u540d\u3002\u53ef\u4ee5\u4f7f\u7528<code>names<\/code>\u53c2\u6570\u6765\u6307\u5b9a\u5217\u540d\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<h2><strong>\u5047\u8bbe\u4f60\u7684CSV\u6587\u4ef6\u8def\u5f84\u4e3a&#39;file.csv&#39;<\/strong><\/h2>\n<p>file_path = &#39;file.csv&#39;<\/p>\n<h2><strong>\u6307\u5b9a\u5217\u540d<\/strong><\/h2>\n<p>column_names = [&#39;Column1&#39;, &#39;Column2&#39;, &#39;Column3&#39;]<\/p>\n<h2><strong>\u8bfb\u53d6CSV\u6587\u4ef6\uff0c\u5e76\u5c06\u6307\u5b9a\u7684\u5217\u540d\u8bbe\u7f6e\u4e3a\u5217\u540d<\/strong><\/h2>\n<p>df = pd.read_csv(file_path, names=column_names, header=0)<\/p>\n<p>print(df)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c<code>names<\/code>\u53c2\u6570\u6307\u5b9a\u4e86\u65b0\u7684\u5217\u540d\uff0c\u5e76\u4e14\u901a\u8fc7<code>header=0<\/code>\u544a\u8bc9Pandas\u5ffd\u7565CSV\u6587\u4ef6\u4e2d\u7684\u7b2c\u4e00\u884c\u3002<\/p>\n<\/p>\n<p><h3>\u4e8c\u3001\u4f7f\u7528OpenPyXL\u5e93\u5904\u7406Excel\u6587\u4ef6<\/h3>\n<\/p>\n<p><p>\u5982\u679c\u4f60\u7684\u6570\u636e\u5b58\u50a8\u5728Excel\u6587\u4ef6\u4e2d\uff0c\u4f60\u53ef\u4ee5\u4f7f\u7528OpenPyXL\u5e93\u6765\u5904\u7406\u3002OpenPyXL\u5e93\u662f\u4e00\u4e2a\u7528\u4e8e\u8bfb\u53d6\u548c\u5199\u5165Excel 2010 xlsx\/xlsm\/xltx\/xltm\u6587\u4ef6\u7684Python\u5e93\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from openpyxl import load_workbook<\/p>\n<h2><strong>\u5047\u8bbe\u4f60\u7684Excel\u6587\u4ef6\u8def\u5f84\u4e3a&#39;file.xlsx&#39;<\/strong><\/h2>\n<p>file_path = &#39;file.xlsx&#39;<\/p>\n<h2><strong>\u52a0\u8f7dExcel\u6587\u4ef6<\/strong><\/h2>\n<p>wb = load_workbook(file_path)<\/p>\n<h2><strong>\u83b7\u53d6\u6d3b\u52a8\u5de5\u4f5c\u8868<\/strong><\/h2>\n<p>ws = wb.active<\/p>\n<h2><strong>\u83b7\u53d6\u9996\u884c\uff08\u5217\u540d\uff09<\/strong><\/h2>\n<p>columns = [cell.value for cell in ws[1]]<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u5b57\u5178\u5217\u8868<\/strong><\/h2>\n<p>data = []<\/p>\n<p>for row in ws.iter_rows(min_row=2, values_only=True):<\/p>\n<p>    data.append(dict(zip(columns, row)))<\/p>\n<p>print(data)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0cOpenPyXL\u5e93\u4f1a\u52a0\u8f7dExcel\u6587\u4ef6\uff0c\u5e76\u5c06\u9996\u884c\u8bbe\u7f6e\u4e3a\u5217\u540d\u3002\u7136\u540e\uff0c\u6211\u4eec\u904d\u5386\u6bcf\u4e00\u884c\uff0c\u5e76\u5c06\u5176\u8f6c\u6362\u4e3a\u5b57\u5178\u5217\u8868\u3002<\/p>\n<\/p>\n<p><h3>\u4e09\u3001\u4f7f\u7528csv\u6a21\u5757\u5904\u7406CSV\u6587\u4ef6<\/h3>\n<\/p>\n<p><p>\u5982\u679c\u4f60\u4e0d\u60f3\u4f7f\u7528Pandas\u5e93\uff0c\u53ef\u4ee5\u4f7f\u7528Python\u81ea\u5e26\u7684csv\u6a21\u5757\u6765\u5904\u7406CSV\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import csv<\/p>\n<h2><strong>\u5047\u8bbe\u4f60\u7684CSV\u6587\u4ef6\u8def\u5f84\u4e3a&#39;file.csv&#39;<\/strong><\/h2>\n<p>file_path = &#39;file.csv&#39;<\/p>\n<h2><strong>\u6253\u5f00CSV\u6587\u4ef6<\/strong><\/h2>\n<p>with open(file_path, mode=&#39;r&#39;, encoding=&#39;utf-8-sig&#39;) as file:<\/p>\n<p>    reader = csv.reader(file)<\/p>\n<p>    # \u83b7\u53d6\u9996\u884c\uff08\u5217\u540d\uff09<\/p>\n<p>    columns = next(reader)<\/p>\n<p>    # \u521b\u5efa\u4e00\u4e2a\u5b57\u5178\u5217\u8868<\/p>\n<p>    data = []<\/p>\n<p>    for row in reader:<\/p>\n<p>        data.append(dict(zip(columns, row)))<\/p>\n<p>print(data)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0ccsv\u6a21\u5757\u4f1a\u8bfb\u53d6CSV\u6587\u4ef6\uff0c\u5e76\u5c06\u9996\u884c\u8bbe\u7f6e\u4e3a\u5217\u540d\u3002\u7136\u540e\uff0c\u6211\u4eec\u904d\u5386\u6bcf\u4e00\u884c\uff0c\u5e76\u5c06\u5176\u8f6c\u6362\u4e3a\u5b57\u5178\u5217\u8868\u3002<\/p>\n<\/p>\n<p><h3>\u56db\u3001Numpy\u5e93\u7684\u4f7f\u7528<\/h3>\n<\/p>\n<p><p>Numpy\u5e93\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u503c\u8ba1\u7b97\u5e93\uff0c\u9002\u7528\u4e8e\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u3002\u867d\u7136Numpy\u5e93\u4e0d\u5982Pandas\u5e93\u65b9\u4fbf\uff0c\u4f46\u4ecd\u7136\u53ef\u4ee5\u7528\u6765\u5904\u7406CSV\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<h2><strong>\u5047\u8bbe\u4f60\u7684CSV\u6587\u4ef6\u8def\u5f84\u4e3a&#39;file.csv&#39;<\/strong><\/h2>\n<p>file_path = &#39;file.csv&#39;<\/p>\n<h2><strong>\u8bfb\u53d6CSV\u6587\u4ef6<\/strong><\/h2>\n<p>data = np.genfromtxt(file_path, delimiter=&#39;,&#39;, dtype=None, encoding=&#39;utf-8&#39;, names=True)<\/p>\n<p>print(data)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0cNumpy\u5e93\u4f1a\u8bfb\u53d6CSV\u6587\u4ef6\uff0c\u5e76\u5c06\u9996\u884c\u8bbe\u7f6e\u4e3a\u5217\u540d\u3002\u6570\u636e\u5c06\u4ee5\u7ed3\u6784\u5316\u6570\u7ec4\u7684\u5f62\u5f0f\u5b58\u50a8\uff0c\u6bcf\u4e00\u5217\u90fd\u53ef\u4ee5\u901a\u8fc7\u5217\u540d\u8bbf\u95ee\u3002<\/p>\n<\/p>\n<p><h3>\u4e94\u3001\u4f7f\u7528xlrd\u5e93\u5904\u7406Excel\u6587\u4ef6<\/h3>\n<\/p>\n<p><p>\u5982\u679c\u4f60\u7684\u6570\u636e\u5b58\u50a8\u5728\u65e7\u7248Excel\u6587\u4ef6\u4e2d\uff08xls\u683c\u5f0f\uff09\uff0c\u4f60\u53ef\u4ee5\u4f7f\u7528xlrd\u5e93\u6765\u5904\u7406\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import xlrd<\/p>\n<h2><strong>\u5047\u8bbe\u4f60\u7684Excel\u6587\u4ef6\u8def\u5f84\u4e3a&#39;file.xls&#39;<\/strong><\/h2>\n<p>file_path = &#39;file.xls&#39;<\/p>\n<h2><strong>\u6253\u5f00Excel\u6587\u4ef6<\/strong><\/h2>\n<p>workbook = xlrd.open_workbook(file_path)<\/p>\n<h2><strong>\u83b7\u53d6\u7b2c\u4e00\u4e2a\u5de5\u4f5c\u8868<\/strong><\/h2>\n<p>sheet = workbook.sheet_by_index(0)<\/p>\n<h2><strong>\u83b7\u53d6\u9996\u884c\uff08\u5217\u540d\uff09<\/strong><\/h2>\n<p>columns = sheet.row_values(0)<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u5b57\u5178\u5217\u8868<\/strong><\/h2>\n<p>data = []<\/p>\n<p>for row_idx in range(1, sheet.nrows):<\/p>\n<p>    row = sheet.row_values(row_idx)<\/p>\n<p>    data.append(dict(zip(columns, row)))<\/p>\n<p>print(data)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0cxlrd\u5e93\u4f1a\u6253\u5f00Excel\u6587\u4ef6\uff0c\u5e76\u5c06\u9996\u884c\u8bbe\u7f6e\u4e3a\u5217\u540d\u3002\u7136\u540e\uff0c\u6211\u4eec\u904d\u5386\u6bcf\u4e00\u884c\uff0c\u5e76\u5c06\u5176\u8f6c\u6362\u4e3a\u5b57\u5178\u5217\u8868\u3002<\/p>\n<\/p>\n<p><h3>\u516d\u3001\u4f7f\u7528DictReader\u8bfb\u53d6CSV\u6587\u4ef6<\/h3>\n<\/p>\n<p><p>\u9664\u4e86csv.reader\uff0c\u4f60\u8fd8\u53ef\u4ee5\u4f7f\u7528csv.DictReader\uff0c\u5b83\u4f1a\u81ea\u52a8\u5c06\u9996\u884c\u8bbe\u7f6e\u4e3a\u5217\u540d\uff0c\u5e76\u5c06\u6bcf\u4e00\u884c\u8f6c\u6362\u4e3a\u5b57\u5178\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import csv<\/p>\n<h2><strong>\u5047\u8bbe\u4f60\u7684CSV\u6587\u4ef6\u8def\u5f84\u4e3a&#39;file.csv&#39;<\/strong><\/h2>\n<p>file_path = &#39;file.csv&#39;<\/p>\n<h2><strong>\u6253\u5f00CSV\u6587\u4ef6<\/strong><\/h2>\n<p>with open(file_path, mode=&#39;r&#39;, encoding=&#39;utf-8-sig&#39;) as file:<\/p>\n<p>    reader = csv.DictReader(file)<\/p>\n<p>    # \u521b\u5efa\u4e00\u4e2a\u5b57\u5178\u5217\u8868<\/p>\n<p>    data = [row for row in reader]<\/p>\n<p>print(data)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0ccsv.DictReader\u4f1a\u8bfb\u53d6CSV\u6587\u4ef6\uff0c\u5e76\u81ea\u52a8\u5c06\u9996\u884c\u8bbe\u7f6e\u4e3a\u5217\u540d\u3002\u6bcf\u4e00\u884c\u5c06\u8f6c\u6362\u4e3a\u5b57\u5178\uff0c\u5b58\u50a8\u5728\u5217\u8868\u4e2d\u3002<\/p>\n<\/p>\n<p><h3>\u4e03\u3001\u4f7f\u7528pyexcel\u5e93\u5904\u7406\u4e0d\u540c\u7c7b\u578b\u7684\u7535\u5b50\u8868\u683c<\/h3>\n<\/p>\n<p><p>pyexcel\u662f\u4e00\u4e2a\u901a\u7528\u7684\u7535\u5b50\u8868\u683c\u5904\u7406\u5e93\uff0c\u652f\u6301xls\u3001xlsx\u3001csv\u7b49\u591a\u79cd\u683c\u5f0f\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pyexcel as pe<\/p>\n<h2><strong>\u5047\u8bbe\u4f60\u7684\u6587\u4ef6\u8def\u5f84\u4e3a&#39;file.xlsx&#39;\u6216&#39;file.csv&#39;<\/strong><\/h2>\n<p>file_path = &#39;file.xlsx&#39;<\/p>\n<h2><strong>\u8bfb\u53d6\u6587\u4ef6<\/strong><\/h2>\n<p>sheet = pe.get_sheet(file_name=file_path)<\/p>\n<h2><strong>\u83b7\u53d6\u9996\u884c\uff08\u5217\u540d\uff09<\/strong><\/h2>\n<p>columns = sheet.row[0]<\/p>\n<h2><strong>\u521b\u5efa\u4e00\u4e2a\u5b57\u5178\u5217\u8868<\/strong><\/h2>\n<p>data = []<\/p>\n<p>for row in sheet.row[1:]:<\/p>\n<p>    data.append(dict(zip(columns, row)))<\/p>\n<p>print(data)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0cpyexcel\u5e93\u4f1a\u8bfb\u53d6\u7535\u5b50\u8868\u683c\u6587\u4ef6\uff0c\u5e76\u5c06\u9996\u884c\u8bbe\u7f6e\u4e3a\u5217\u540d\u3002\u7136\u540e\uff0c\u6211\u4eec\u904d\u5386\u6bcf\u4e00\u884c\uff0c\u5e76\u5c06\u5176\u8f6c\u6362\u4e3a\u5b57\u5178\u5217\u8868\u3002<\/p>\n<\/p>\n<p><h3>\u516b\u3001\u603b\u7ed3<\/h3>\n<\/p>\n<p><p>\u901a\u8fc7\u4ee5\u4e0a\u51e0\u79cd\u65b9\u6cd5\uff0c\u4f60\u53ef\u4ee5\u8f7b\u677e\u5730\u5c06Python\u4e2d\u7684\u9996\u884c\u53d8\u6210\u5217\u540d\u3002<strong>Pandas\u5e93\u662f\u6700\u5e38\u7528\u548c\u6700\u5f3a\u5927\u7684\u9009\u62e9\uff0c\u9002\u7528\u4e8e\u5927\u591a\u6570\u6570\u636e\u5904\u7406\u4efb\u52a1\u3002<\/strong>\u7136\u800c\uff0c\u6839\u636e\u6570\u636e\u7684\u5b58\u50a8\u683c\u5f0f\u548c\u5177\u4f53\u9700\u6c42\uff0c\u5176\u4ed6\u65b9\u6cd5\u4e5f\u53ef\u4ee5\u63d0\u4f9b\u7075\u6d3b\u7684\u9009\u62e9\u3002<strong>\u65e0\u8bba\u4f60\u9009\u62e9\u54ea\u79cd\u65b9\u6cd5\uff0c\u5173\u952e\u662f\u8981\u786e\u4fdd\u6570\u636e\u7ed3\u6784\u6e05\u6670\u3001\u6613\u4e8e\u64cd\u4f5c\u548c\u5206\u6790\u3002<\/strong><\/p>\n<\/p>\n<p><p>\u5e0c\u671b\u8fd9\u4e9b\u65b9\u6cd5\u80fd\u5e2e\u52a9\u4f60\u89e3\u51b3\u95ee\u9898\uff0c\u5e76\u63d0\u9ad8\u6570\u636e\u5904\u7406\u7684\u6548\u7387\u3002\u5982\u679c\u4f60\u6709\u4efb\u4f55\u95ee\u9898\u6216\u9700\u8981\u8fdb\u4e00\u6b65\u7684\u5e2e\u52a9\uff0c\u8bf7\u968f\u65f6\u8054\u7cfb\u6211\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u5728Python\u4e2d\u4f7f\u7528Pandas\u5e93\u5c06\u9996\u884c\u8bbe\u4e3a\u5217\u540d\uff1f<\/strong><br \/>\u5728Python\u4e2d\uff0cPandas\u5e93\u63d0\u4f9b\u4e86\u4e00\u79cd\u7b80\u4fbf\u7684\u65b9\u6cd5\u6765\u5c06\u6570\u636e\u6846\u7684\u9996\u884c\u8f6c\u6362\u4e3a\u5217\u540d\u3002\u60a8\u53ef\u4ee5\u4f7f\u7528<code>pd.read_csv()<\/code>\u51fd\u6570\u5e76\u8bbe\u7f6e<code>header=0<\/code>\u53c2\u6570\u6765\u5b9e\u73b0\u8fd9\u4e00\u76ee\u6807\u3002\u8fd9\u6837\uff0c\u6570\u636e\u6846\u4f1a\u81ea\u52a8\u5c06\u7b2c\u4e00\u884c\u4f5c\u4e3a\u5217\u540d\u3002\u5982\u679c\u6570\u636e\u5df2\u7ecf\u52a0\u8f7d\u5230DataFrame\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528<code>df.columns = df.iloc[0]<\/code>\u6765\u5c06\u7b2c\u4e00\u884c\u8bbe\u7f6e\u4e3a\u5217\u540d\uff0c\u5e76\u968f\u540e\u5220\u9664\u8be5\u884c\u3002<\/p>\n<p><strong>\u5728\u5904\u7406CSV\u6587\u4ef6\u65f6\uff0c\u5982\u4f55\u786e\u4fdd\u9996\u884c\u4f5c\u4e3a\u5217\u540d\u88ab\u6b63\u786e\u8bfb\u53d6\uff1f<\/strong><br \/>\u5728\u8bfb\u53d6CSV\u6587\u4ef6\u65f6\uff0c\u786e\u4fdd\u6587\u4ef6\u7684\u683c\u5f0f\u6b63\u786e\uff0c\u4e14\u7b2c\u4e00\u884c\u786e\u5b9e\u5305\u542b\u5217\u540d\u3002\u4f7f\u7528<code>pd.read_csv(&#39;file.csv&#39;, header=0)<\/code>\u53ef\u4ee5\u6709\u6548\u5730\u5c06\u9996\u884c\u4f5c\u4e3a\u5217\u540d\u3002\u5982\u679c\u6587\u4ef6\u4e2d\u6ca1\u6709\u5217\u540d\uff0c\u53ef\u4ee5\u901a\u8fc7\u5c06<code>header=None<\/code>\u6765\u8bfb\u53d6\u6570\u636e\uff0c\u5e76\u4f7f\u7528<code>df.columns<\/code>\u624b\u52a8\u8bbe\u7f6e\u5217\u540d\u3002<\/p>\n<p><strong>\u5982\u679c\u6570\u636e\u6846\u4e2d\u5df2\u7ecf\u5b58\u5728\u5217\u540d\uff0c\u5982\u4f55\u66ff\u6362\u4e3a\u9996\u884c\u6570\u636e\uff1f<\/strong><br \/>\u5982\u679c\u60a8\u60f3\u5c06\u6570\u636e\u6846\u4e2d\u7684\u73b0\u6709\u5217\u540d\u66ff\u6362\u4e3a\u9996\u884c\u7684\u6570\u636e\uff0c\u53ef\u4ee5\u5148\u4f7f\u7528<code>df.columns = df.iloc[0]<\/code>\u5c06\u9996\u884c\u8d4b\u503c\u4e3a\u65b0\u7684\u5217\u540d\u3002\u63a5\u7740\uff0c\u4f7f\u7528<code>df = df[1:]<\/code>\u6765\u5220\u9664\u9996\u884c\uff0c\u4ee5\u786e\u4fdd\u6570\u636e\u6846\u7684\u7ed3\u6784\u4e0d\u53d7\u5f71\u54cd\u3002\u8fd9\u6837\uff0c\u65b0\u7684\u5217\u540d\u5c06\u8986\u76d6\u65e7\u7684\u5217\u540d\uff0c\u800c\u6570\u636e\u6846\u7684\u5176\u4f59\u90e8\u5206\u5c06\u4fdd\u6301\u4e0d\u53d8\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u8981\u5c06Python\u4e2d\u7684\u9996\u884c\u53d8\u6210\u5217\u540d\uff0c\u4f60\u53ef\u4ee5\u4f7f\u7528\u591a\u79cd\u65b9\u6cd5\uff0c\u4f8b\u5982\u4f7f\u7528Pandas\u5e93\u3002Pandas\u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684\u6570\u636e [&hellip;]","protected":false},"author":3,"featured_media":1056114,"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\/1056099"}],"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=1056099"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1056099\/revisions"}],"predecessor-version":[{"id":1056116,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1056099\/revisions\/1056116"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1056114"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1056099"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1056099"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1056099"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}