{"id":1182792,"date":"2025-01-15T19:07:19","date_gmt":"2025-01-15T11:07:19","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1182792.html"},"modified":"2025-01-15T19:07:23","modified_gmt":"2025-01-15T11:07:23","slug":"%e5%a6%82%e4%bd%95%e7%94%a8python%e8%af%bb%e5%87%ba%e6%95%b0%e6%8d%ae%e9%9b%86","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1182792.html","title":{"rendered":"\u5982\u4f55\u7528python\u8bfb\u51fa\u6570\u636e\u96c6"},"content":{"rendered":"<p style=\"text-align:center;\" ><img decoding=\"async\" src=\"https:\/\/cdn-kb.worktile.com\/kb\/wp-content\/uploads\/2024\/04\/25130702\/9309178d-b497-45ac-98a4-e3d3a1f716aa.webp\" alt=\"\u5982\u4f55\u7528python\u8bfb\u51fa\u6570\u636e\u96c6\" \/><\/p>\n<p><p> \u8981\u7528Python\u8bfb\u51fa\u6570\u636e\u96c6\uff0c\u53ef\u4ee5\u4f7f\u7528\u591a\u79cd\u65b9\u6cd5\u548c\u5e93\uff0c<strong>\u5e38\u89c1\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528Pandas\u8bfb\u53d6CSV\u6587\u4ef6\u3001\u4f7f\u7528NumPy\u8bfb\u53d6\u6587\u672c\u6587\u4ef6\u3001\u5229\u7528SQLAlchemy\u8fde\u63a5\u6570\u636e\u5e93\u3001\u4f7f\u7528Openpyxl\u8bfb\u53d6Excel\u6587\u4ef6<\/strong>\u3002\u5176\u4e2d\uff0c<strong>Pandas\u5e93\u662f\u6700\u5e38\u7528\u548c\u6700\u4fbf\u6377\u7684\u65b9\u6cd5<\/strong>\u3002Pandas\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u548c\u5206\u6790\u529f\u80fd\uff0c\u80fd\u591f\u8f7b\u677e\u8bfb\u53d6\u5404\u79cd\u683c\u5f0f\u7684\u6570\u636e\u6587\u4ef6\u3002\u4e0b\u9762\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528Pandas\u8bfb\u53d6CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n<hr>\n<p><p>\u4e00\u3001\u4f7f\u7528Pandas\u8bfb\u53d6CSV\u6587\u4ef6<\/p>\n<\/p>\n<p><p>Pandas\u662f\u4e00\u4e2a\u5f3a\u5927\u7684\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u5e93\uff0c\u80fd\u591f\u8f7b\u677e\u8bfb\u53d6\u548c\u64cd\u4f5c\u5404\u79cd\u683c\u5f0f\u7684\u6570\u636e\u6587\u4ef6\u3002CSV\uff08Comma Separated Values\uff09\u6587\u4ef6\u662f\u6570\u636e\u5b58\u50a8\u548c\u4ea4\u6362\u4e2d\u6700\u5e38\u89c1\u7684\u683c\u5f0f\u4e4b\u4e00\u3002\u4f7f\u7528Pandas\u8bfb\u53d6CSV\u6587\u4ef6\u975e\u5e38\u7b80\u5355\uff0c\u53ea\u9700\u51e0\u884c\u4ee3\u7801\u5373\u53ef\u5b8c\u6210\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import pandas as pd<\/p>\n<h2><strong>\u8bfb\u53d6CSV\u6587\u4ef6<\/strong><\/h2>\n<p>data = pd.read_csv(&#39;path_to_file.csv&#39;)<\/p>\n<h2><strong>\u663e\u793a\u524d\u4e94\u884c\u6570\u636e<\/strong><\/h2>\n<p>print(data.head())<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0c\u9996\u5148\u5bfc\u5165Pandas\u5e93\uff0c\u7136\u540e\u4f7f\u7528<code>pd.read_csv()<\/code>\u51fd\u6570\u8bfb\u53d6CSV\u6587\u4ef6\uff0c\u5e76\u5c06\u5176\u5b58\u50a8\u5728\u53d8\u91cf<code>data<\/code>\u4e2d\u3002\u6700\u540e\uff0c\u4f7f\u7528<code>data.head()<\/code>\u65b9\u6cd5\u663e\u793a\u6570\u636e\u96c6\u7684\u524d\u4e94\u884c\u3002<\/p>\n<\/p>\n<p><p><strong>\u8be6\u7ec6\u4ecb\u7ecd\uff1a<\/strong><\/p>\n<\/p>\n<ol>\n<li>\n<p><strong>\u6307\u5b9a\u5206\u9694\u7b26\uff1a<\/strong><\/p>\n<p>\u9ed8\u8ba4\u60c5\u51b5\u4e0b\uff0c<code>read_csv()<\/code>\u51fd\u6570\u4f7f\u7528\u9017\u53f7\u4f5c\u4e3a\u5206\u9694\u7b26\u3002\u5982\u679c\u4f60\u7684\u6587\u4ef6\u4f7f\u7528\u5176\u4ed6\u5206\u9694\u7b26\uff08\u5982\u5236\u8868\u7b26\u3001\u5206\u53f7\u7b49\uff09\uff0c\u53ef\u4ee5\u901a\u8fc7<code>sep<\/code>\u53c2\u6570\u6307\u5b9a\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">data = pd.read_csv(&#39;path_to_file.csv&#39;, sep=&#39;\\t&#39;)  # \u4f7f\u7528\u5236\u8868\u7b26\u5206\u9694<\/p>\n<p><\/code><\/pre>\n<\/p>\n<\/li>\n<li>\n<p><strong>\u5904\u7406\u7f3a\u5931\u503c\uff1a<\/strong><\/p>\n<p>\u5728\u8bfb\u53d6\u6570\u636e\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528<code>na_values<\/code>\u53c2\u6570\u6307\u5b9a\u54ea\u4e9b\u503c\u5e94\u88ab\u89c6\u4e3a\u7f3a\u5931\u503c\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">data = pd.read_csv(&#39;path_to_file.csv&#39;, na_values=[&#39;NA&#39;, &#39;n\/a&#39;, &#39;&#39;])<\/p>\n<p><\/code><\/pre>\n<\/p>\n<\/li>\n<li>\n<p><strong>\u8bfb\u53d6\u7279\u5b9a\u5217\uff1a<\/strong><\/p>\n<p>\u5982\u679c\u53ea\u9700\u8981\u8bfb\u53d6\u67d0\u4e9b\u5217\uff0c\u53ef\u4ee5\u4f7f\u7528<code>usecols<\/code>\u53c2\u6570\u6307\u5b9a\u5217\u540d\u6216\u5217\u7d22\u5f15\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">data = pd.read_csv(&#39;path_to_file.csv&#39;, usecols=[&#39;column1&#39;, &#39;column2&#39;])<\/p>\n<p><\/code><\/pre>\n<\/p>\n<\/li>\n<\/ol>\n<hr>\n<p><p>\u4e8c\u3001\u4f7f\u7528NumPy\u8bfb\u53d6\u6587\u672c\u6587\u4ef6<\/p>\n<\/p>\n<p><p>NumPy\u662f\u53e6\u4e00\u4e2a\u5e38\u7528\u7684\u79d1\u5b66\u8ba1\u7b97\u5e93\uff0c\u9002\u5408\u5904\u7406\u6570\u503c\u6570\u636e\u3002\u4f7f\u7528<code>numpy.loadtxt()<\/code>\u6216<code>numpy.genfromtxt()<\/code>\u51fd\u6570\u53ef\u4ee5\u8bfb\u53d6\u6587\u672c\u6587\u4ef6\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import numpy as np<\/p>\n<h2><strong>\u8bfb\u53d6\u6587\u672c\u6587\u4ef6<\/strong><\/h2>\n<p>data = np.loadtxt(&#39;path_to_file.txt&#39;, delimiter=&#39;,&#39;)<\/p>\n<h2><strong>\u663e\u793a\u6570\u636e<\/strong><\/h2>\n<p>print(data)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><code>numpy.loadtxt()<\/code>\u51fd\u6570\u7528\u4e8e\u8bfb\u53d6\u7b80\u5355\u7684\u6587\u672c\u6587\u4ef6\uff0c<code>delimiter<\/code>\u53c2\u6570\u6307\u5b9a\u5206\u9694\u7b26\u3002\u5bf9\u4e8e\u5305\u542b\u7f3a\u5931\u503c\u6216\u4e0d\u89c4\u5219\u6570\u636e\u7684\u6587\u4ef6\uff0c\u53ef\u4ee5\u4f7f\u7528<code>numpy.genfromtxt()<\/code>\u51fd\u6570\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">data = np.genfromtxt(&#39;path_to_file.txt&#39;, delimiter=&#39;,&#39;, missing_values=&#39;NA&#39;, filling_values=0)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<hr>\n<p><p>\u4e09\u3001\u4f7f\u7528SQLAlchemy\u8fde\u63a5\u6570\u636e\u5e93<\/p>\n<\/p>\n<p><p>\u5982\u679c\u6570\u636e\u5b58\u50a8\u5728\u6570\u636e\u5e93\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528SQLAlchemy\u8fde\u63a5\u6570\u636e\u5e93\u5e76\u8bfb\u53d6\u6570\u636e\u3002SQLAlchemy\u662f\u4e00\u4e2a\u529f\u80fd\u5f3a\u5927\u7684SQL\u5de5\u5177\u5305\u548c\u5bf9\u8c61\u5173\u7cfb\u6620\u5c04\uff08ORM\uff09\u5e93\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from sqlalchemy import create_engine<\/p>\n<p>import pandas as pd<\/p>\n<h2><strong>\u521b\u5efa\u6570\u636e\u5e93\u8fde\u63a5<\/strong><\/h2>\n<p>engine = create_engine(&#39;sqlite:\/\/\/path_to_database.db&#39;)<\/p>\n<h2><strong>\u8bfb\u53d6\u6570\u636e<\/strong><\/h2>\n<p>data = pd.read_sql(&#39;SELECT * FROM table_name&#39;, engine)<\/p>\n<h2><strong>\u663e\u793a\u6570\u636e<\/strong><\/h2>\n<p>print(data.head())<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0c\u9996\u5148\u521b\u5efa\u6570\u636e\u5e93\u8fde\u63a5\uff0c\u7136\u540e\u4f7f\u7528<code>pd.read_sql()<\/code>\u51fd\u6570\u8bfb\u53d6\u6570\u636e\u8868\u3002<\/p>\n<\/p>\n<hr>\n<p><p>\u56db\u3001\u4f7f\u7528Openpyxl\u8bfb\u53d6Excel\u6587\u4ef6<\/p>\n<\/p>\n<p><p>Openpyxl\u662f\u4e00\u4e2a\u5904\u7406Excel\u6587\u4ef6\u7684\u5e93\uff0c\u80fd\u591f\u8bfb\u53d6\u548c\u5199\u5165Excel\u6587\u4ef6\u3002\u4f7f\u7528<code>openpyxl.load_workbook()<\/code>\u51fd\u6570\u53ef\u4ee5\u8bfb\u53d6Excel\u6587\u4ef6\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from openpyxl import load_workbook<\/p>\n<h2><strong>\u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/h2>\n<p>workbook = load_workbook(&#39;path_to_file.xlsx&#39;)<\/p>\n<h2><strong>\u83b7\u53d6\u5de5\u4f5c\u8868<\/strong><\/h2>\n<p>sheet = workbook.active<\/p>\n<h2><strong>\u8bfb\u53d6\u6570\u636e<\/strong><\/h2>\n<p>data = []<\/p>\n<p>for row in sheet.iter_rows(values_only=True):<\/p>\n<p>    data.append(row)<\/p>\n<h2><strong>\u663e\u793a\u6570\u636e<\/strong><\/h2>\n<p>print(data)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p>\u4e0a\u8ff0\u4ee3\u7801\u4e2d\uff0c\u9996\u5148\u4f7f\u7528<code>load_workbook()<\/code>\u51fd\u6570\u8bfb\u53d6Excel\u6587\u4ef6\uff0c\u7136\u540e\u83b7\u53d6\u6d3b\u52a8\u5de5\u4f5c\u8868\uff0c\u6700\u540e\u901a\u8fc7<code>iter_rows()<\/code>\u65b9\u6cd5\u904d\u5386\u5de5\u4f5c\u8868\u4e2d\u7684\u6bcf\u4e00\u884c\uff0c\u5e76\u5c06\u6570\u636e\u5b58\u50a8\u5728\u5217\u8868\u4e2d\u3002<\/p>\n<\/p>\n<hr>\n<p><p>\u4e94\u3001\u5176\u4ed6\u6570\u636e\u6e90\u7684\u8bfb\u53d6<\/p>\n<\/p>\n<p><p>\u9664\u4e86\u4e0a\u8ff0\u51e0\u79cd\u5e38\u89c1\u7684\u6570\u636e\u8bfb\u53d6\u65b9\u5f0f\uff0c\u8fd8\u53ef\u4ee5\u901a\u8fc7\u5176\u4ed6\u5e93\u548c\u65b9\u6cd5\u8bfb\u53d6\u4e0d\u540c\u683c\u5f0f\u7684\u6570\u636e\u6587\u4ef6\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u4f7f\u7528<code>json<\/code>\u5e93\u8bfb\u53d6JSON\u6587\u4ef6\uff0c\u4f7f\u7528<code>xml.etree.ElementTree<\/code>\u5e93\u8bfb\u53d6XML\u6587\u4ef6\uff0c\u4f7f\u7528<code>h5py<\/code>\u5e93\u8bfb\u53d6HDF5\u6587\u4ef6\u7b49\u3002<\/p>\n<\/p>\n<p><p><strong>\u8bfb\u53d6JSON\u6587\u4ef6\uff1a<\/strong><\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import json<\/p>\n<h2><strong>\u8bfb\u53d6JSON\u6587\u4ef6<\/strong><\/h2>\n<p>with open(&#39;path_to_file.json&#39;, &#39;r&#39;) as file:<\/p>\n<p>    data = json.load(file)<\/p>\n<h2><strong>\u663e\u793a\u6570\u636e<\/strong><\/h2>\n<p>print(data)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>\u8bfb\u53d6XML\u6587\u4ef6\uff1a<\/strong><\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import xml.etree.ElementTree as ET<\/p>\n<h2><strong>\u8bfb\u53d6XML\u6587\u4ef6<\/strong><\/h2>\n<p>tree = ET.parse(&#39;path_to_file.xml&#39;)<\/p>\n<p>root = tree.getroot()<\/p>\n<h2><strong>\u904d\u5386XML\u6570\u636e<\/strong><\/h2>\n<p>for child in root:<\/p>\n<p>    print(child.tag, child.attrib)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>\u8bfb\u53d6HDF5\u6587\u4ef6\uff1a<\/strong><\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import h5py<\/p>\n<h2><strong>\u8bfb\u53d6HDF5\u6587\u4ef6<\/strong><\/h2>\n<p>with h5py.File(&#39;path_to_file.h5&#39;, &#39;r&#39;) as file:<\/p>\n<p>    data = file[&#39;dataset_name&#39;][:]<\/p>\n<h2><strong>\u663e\u793a\u6570\u636e<\/strong><\/h2>\n<p>print(data)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<hr>\n<p><p>\u516d\u3001\u6570\u636e\u9884\u5904\u7406\u548c\u6e05\u6d17<\/p>\n<\/p>\n<p><p>\u5728\u8bfb\u53d6\u6570\u636e\u96c6\u4e4b\u540e\uff0c\u5f80\u5f80\u9700\u8981\u8fdb\u884c\u9884\u5904\u7406\u548c\u6e05\u6d17\uff0c\u4ee5\u786e\u4fdd\u6570\u636e\u7684\u8d28\u91cf\u548c\u4e00\u81f4\u6027\u3002\u5e38\u89c1\u7684\u6570\u636e\u9884\u5904\u7406\u548c\u6e05\u6d17\u64cd\u4f5c\u5305\u62ec\u5904\u7406\u7f3a\u5931\u503c\u3001\u53bb\u9664\u91cd\u590d\u6570\u636e\u3001\u6570\u636e\u7c7b\u578b\u8f6c\u6362\u3001\u6570\u636e\u6807\u51c6\u5316\u7b49\u3002<\/p>\n<\/p>\n<p><p><strong>\u5904\u7406\u7f3a\u5931\u503c\uff1a<\/strong><\/p>\n<p>\u53ef\u4ee5\u4f7f\u7528Pandas\u63d0\u4f9b\u7684<code>dropna()<\/code>\u548c<code>fillna()<\/code>\u65b9\u6cd5\u6765\u5904\u7406\u7f3a\u5931\u503c\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\"># \u53bb\u9664\u5305\u542b\u7f3a\u5931\u503c\u7684\u884c<\/p>\n<p>data = data.dropna()<\/p>\n<h2><strong>\u7528\u6307\u5b9a\u503c\u586b\u5145\u7f3a\u5931\u503c<\/strong><\/h2>\n<p>data = data.fillna(0)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>\u53bb\u9664\u91cd\u590d\u6570\u636e\uff1a<\/strong><\/p>\n<p>\u53ef\u4ee5\u4f7f\u7528<code>drop_duplicates()<\/code>\u65b9\u6cd5\u53bb\u9664\u91cd\u590d\u6570\u636e\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">data = data.drop_duplicates()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>\u6570\u636e\u7c7b\u578b\u8f6c\u6362\uff1a<\/strong><\/p>\n<p>\u53ef\u4ee5\u4f7f\u7528<code>astype()<\/code>\u65b9\u6cd5\u8f6c\u6362\u6570\u636e\u7c7b\u578b\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">data[&#39;column_name&#39;] = data[&#39;column_name&#39;].astype(&#39;int&#39;)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>\u6570\u636e\u6807\u51c6\u5316\uff1a<\/strong><\/p>\n<p>\u53ef\u4ee5\u4f7f\u7528<code>StandardScaler<\/code>\u8fdb\u884c\u6570\u636e\u6807\u51c6\u5316\u3002<\/p>\n<\/p>\n<p><pre><code class=\"language-python\">from sklearn.preprocessing import StandardScaler<\/p>\n<p>scaler = StandardScaler()<\/p>\n<p>data_scaled = scaler.fit_transform(data)<\/p>\n<p><\/code><\/pre>\n<\/p>\n<hr>\n<p><p>\u4e03\u3001\u6570\u636e\u53ef\u89c6\u5316<\/p>\n<\/p>\n<p><p>\u6570\u636e\u53ef\u89c6\u5316\u662f\u6570\u636e\u5206\u6790\u4e2d\u975e\u5e38\u91cd\u8981\u7684\u4e00\u73af\uff0c\u80fd\u591f\u5e2e\u52a9\u6211\u4eec\u76f4\u89c2\u5730\u4e86\u89e3\u6570\u636e\u7684\u5206\u5e03\u548c\u7279\u5f81\u3002\u5e38\u7528\u7684\u53ef\u89c6\u5316\u5e93\u5305\u62ecMatplotlib\u3001Seaborn\u3001Plotly\u7b49\u3002<\/p>\n<\/p>\n<p><p><strong>\u4f7f\u7528Matplotlib\u8fdb\u884c\u53ef\u89c6\u5316\uff1a<\/strong><\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import matplotlib.pyplot as plt<\/p>\n<h2><strong>\u7ed8\u5236\u76f4\u65b9\u56fe<\/strong><\/h2>\n<p>plt.hist(data[&#39;column_name&#39;])<\/p>\n<p>plt.xlabel(&#39;Value&#39;)<\/p>\n<p>plt.ylabel(&#39;Frequency&#39;)<\/p>\n<p>plt.title(&#39;Histogram&#39;)<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>\u4f7f\u7528Seaborn\u8fdb\u884c\u53ef\u89c6\u5316\uff1a<\/strong><\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import seaborn as sns<\/p>\n<h2><strong>\u7ed8\u5236\u7bb1\u7ebf\u56fe<\/strong><\/h2>\n<p>sns.boxplot(x=data[&#39;column_name&#39;])<\/p>\n<p>plt.title(&#39;Boxplot&#39;)<\/p>\n<p>plt.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<p><p><strong>\u4f7f\u7528Plotly\u8fdb\u884c\u53ef\u89c6\u5316\uff1a<\/strong><\/p>\n<\/p>\n<p><pre><code class=\"language-python\">import plotly.express as px<\/p>\n<h2><strong>\u7ed8\u5236\u6563\u70b9\u56fe<\/strong><\/h2>\n<p>fig = px.scatter(data, x=&#39;column1&#39;, y=&#39;column2&#39;)<\/p>\n<p>fig.show()<\/p>\n<p><\/code><\/pre>\n<\/p>\n<hr>\n<p><p>\u516b\u3001\u603b\u7ed3<\/p>\n<\/p>\n<p><p>\u901a\u8fc7\u672c\u6587\u7684\u4ecb\u7ecd\uff0c\u6211\u4eec\u4e86\u89e3\u4e86\u4f7f\u7528Python\u8bfb\u53d6\u6570\u636e\u96c6\u7684\u591a\u79cd\u65b9\u6cd5\uff0c\u5305\u62ec\u4f7f\u7528Pandas\u8bfb\u53d6CSV\u6587\u4ef6\u3001\u4f7f\u7528NumPy\u8bfb\u53d6\u6587\u672c\u6587\u4ef6\u3001\u4f7f\u7528SQLAlchemy\u8fde\u63a5\u6570\u636e\u5e93\u3001\u4f7f\u7528Openpyxl\u8bfb\u53d6Excel\u6587\u4ef6\u7b49\u3002\u540c\u65f6\uff0c\u6211\u4eec\u8fd8\u4ecb\u7ecd\u4e86\u6570\u636e\u9884\u5904\u7406\u548c\u6e05\u6d17\u7684\u5e38\u89c1\u64cd\u4f5c\uff0c\u4ee5\u53ca\u6570\u636e\u53ef\u89c6\u5316\u7684\u65b9\u6cd5\u3002\u5e0c\u671b\u8fd9\u4e9b\u5185\u5bb9\u80fd\u591f\u5e2e\u52a9\u5927\u5bb6\u5728\u5b9e\u9645\u7684\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u5de5\u4f5c\u4e2d\u66f4\u52a0\u5f97\u5fc3\u5e94\u624b\u3002<\/p>\n<\/p>\n<h2><strong>\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n<p> <strong>\u5982\u4f55\u9009\u62e9\u5408\u9002\u7684\u6570\u636e\u96c6\u683c\u5f0f\u4ee5\u4fbf\u7528Python\u8bfb\u53d6\uff1f<\/strong><br \/>\u5728Python\u4e2d\u8bfb\u53d6\u6570\u636e\u96c6\u7684\u683c\u5f0f\u6709\u5f88\u591a\u79cd\uff0c\u5982CSV\u3001Excel\u3001JSON\u7b49\u3002\u9009\u62e9\u5408\u9002\u7684\u683c\u5f0f\u53ef\u4ee5\u63d0\u9ad8\u8bfb\u53d6\u6548\u7387\u548c\u6570\u636e\u5904\u7406\u7684\u4fbf\u5229\u6027\u3002CSV\u683c\u5f0f\u901a\u5e38\u9002\u5408\u8868\u683c\u6570\u636e\uff0cExcel\u9002\u5408\u9700\u8981\u8fdb\u884c\u590d\u6742\u8868\u683c\u64cd\u4f5c\u7684\u6570\u636e\uff0c\u800cJSON\u9002\u7528\u4e8e\u7ed3\u6784\u5316\u7684\u6570\u636e\u3002\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u683c\u5f0f\uff0c\u53ef\u4ee5\u4f7f\u6570\u636e\u8bfb\u53d6\u8fc7\u7a0b\u66f4\u52a0\u987a\u7545\u3002<\/p>\n<p><strong>\u4f7f\u7528Python\u8bfb\u53d6\u5927\u578b\u6570\u636e\u96c6\u65f6\uff0c\u6709\u54ea\u4e9b\u6027\u80fd\u4f18\u5316\u7684\u5efa\u8bae\uff1f<\/strong><br \/>\u5728\u8bfb\u53d6\u5927\u578b\u6570\u636e\u96c6\u65f6\uff0c\u53ef\u4ee5\u8003\u8651\u4f7f\u7528Pandas\u5e93\u7684<code>read_csv()<\/code>\u51fd\u6570\u4e2d\u7684\u53c2\u6570\uff0c\u4f8b\u5982<code>chunksize<\/code>\u6765\u5206\u5757\u8bfb\u53d6\u6570\u636e\uff0c\u6216\u4f7f\u7528Dask\u7b49\u5e93\u6765\u5904\u7406\u8d85\u5927\u6570\u636e\u96c6\u3002\u6b64\u5916\uff0c\u5c3d\u91cf\u907f\u514d\u5728\u8bfb\u53d6\u65f6\u8fdb\u884c\u8fc7\u591a\u7684\u6570\u636e\u5904\u7406\uff0c\u5148\u5c06\u6570\u636e\u8bfb\u53d6\u8fdb\u5185\u5b58\u540e\u518d\u8fdb\u884c\u6e05\u6d17\u548c\u5206\u6790\uff0c\u6709\u52a9\u4e8e\u63d0\u9ad8\u6574\u4f53\u6027\u80fd\u3002<\/p>\n<p><strong>\u5982\u4f55\u5904\u7406\u8bfb\u53d6\u6570\u636e\u96c6\u65f6\u53ef\u80fd\u9047\u5230\u7684\u9519\u8bef\u6216\u5f02\u5e38\uff1f<\/strong><br \/>\u5728\u8bfb\u53d6\u6570\u636e\u96c6\u65f6\uff0c\u5e38\u89c1\u7684\u9519\u8bef\u5305\u62ec\u6587\u4ef6\u8def\u5f84\u9519\u8bef\u3001\u6570\u636e\u683c\u5f0f\u4e0d\u5339\u914d\u6216\u7f3a\u5931\u503c\u7b49\u3002\u53ef\u4ee5\u901a\u8fc7\u4f7f\u7528<code>try-except<\/code>\u8bed\u53e5\u6765\u6355\u83b7\u5f02\u5e38\uff0c\u5e76\u63d0\u4f9b\u53cb\u597d\u7684\u9519\u8bef\u63d0\u793a\u3002\u6b64\u5916\uff0c\u8bfb\u53d6\u6570\u636e\u540e\uff0c\u53ef\u4ee5\u4f7f\u7528\u6570\u636e\u6846\u7684\u5185\u7f6e\u65b9\u6cd5\u5982<code>isnull()<\/code>\u548c<code>info()<\/code>\u6765\u68c0\u67e5\u6570\u636e\u5b8c\u6574\u6027\u548c\u683c\u5f0f\uff0c\u4ee5\u4fbf\u53ca\u65f6\u8fdb\u884c\u5904\u7406\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u8981\u7528Python\u8bfb\u51fa\u6570\u636e\u96c6\uff0c\u53ef\u4ee5\u4f7f\u7528\u591a\u79cd\u65b9\u6cd5\u548c\u5e93\uff0c\u5e38\u89c1\u7684\u65b9\u6cd5\u5305\u62ec\u4f7f\u7528Pandas\u8bfb\u53d6CSV\u6587\u4ef6\u3001\u4f7f\u7528NumPy [&hellip;]","protected":false},"author":3,"featured_media":1182800,"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\/1182792"}],"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=1182792"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1182792\/revisions"}],"predecessor-version":[{"id":1182801,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1182792\/revisions\/1182801"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1182800"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1182792"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1182792"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1182792"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}