{"id":1075034,"date":"2025-01-08T11:40:10","date_gmt":"2025-01-08T03:40:10","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1075034.html"},"modified":"2025-01-08T11:40:12","modified_gmt":"2025-01-08T03:40:12","slug":"python%e5%a6%82%e4%bd%95%e8%8e%b7%e5%8f%96%e5%89%8d10%e8%a1%8c%e6%95%b0%e6%8d%ae-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1075034.html","title":{"rendered":"python\u5982\u4f55\u83b7\u53d6\u524d10\u884c\u6570\u636e"},"content":{"rendered":"

\"python\u5982\u4f55\u83b7\u53d6\u524d10\u884c\u6570\u636e\"<\/p>\n

\u5728Python\u4e2d\uff0c\u83b7\u53d6\u524d10\u884c\u6570\u636e\u7684\u65b9\u5f0f\u6709\u591a\u79cd\uff0c\u5177\u4f53\u65b9\u6cd5\u53d6\u51b3\u4e8e\u4f60\u6b63\u5728\u5904\u7406\u7684\u6570\u636e\u7c7b\u578b<\/strong>\u3002\u53ef\u4ee5\u4f7f\u7528Pandas\u5e93\u8bfb\u53d6CSV\u6587\u4ef6\u5e76\u83b7\u53d6\u524d10\u884c\u6570\u636e\u3001\u8bfb\u53d6\u6587\u672c\u6587\u4ef6\u5e76\u83b7\u53d6\u524d10\u884c\u6570\u636e\u3001\u4ece\u6570\u636e\u5e93\u4e2d\u83b7\u53d6\u524d10\u884c\u6570\u636e\u7b49\u3002\u4ee5\u4e0b\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u901a\u8fc7\u8fd9\u51e0\u79cd\u65b9\u6cd5\u83b7\u53d6\u524d10\u884c\u6570\u636e\u3002<\/p>\n<\/p>\n

\u4e00\u3001\u4f7f\u7528Pandas\u5e93\u8bfb\u53d6CSV\u6587\u4ef6\u5e76\u83b7\u53d6\u524d10\u884c\u6570\u636e<\/h3>\n<\/p>\n

Pandas\u662fPython\u4e2d\u975e\u5e38\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u5e93\uff0c\u53ef\u4ee5\u975e\u5e38\u65b9\u4fbf\u5730\u8bfb\u53d6CSV\u6587\u4ef6\uff0c\u5e76\u4e14\u83b7\u53d6\u524d10\u884c\u6570\u636e\u3002<\/strong><\/p>\n<\/p>\n

import pandas as pd<\/p>\n
\u8bfb\u53d6CSV\u6587\u4ef6<\/strong><\/h2>\n
df = pd.read_csv('your_file.csv')<\/p>\n
\u83b7\u53d6\u524d10\u884c\u6570\u636e<\/strong><\/h2>\n
first_10_rows = df.head(10)<\/p>\n
print(first_10_rows)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5c55\u5f00\u63cf\u8ff0\uff1a<\/strong><\/p>\n
Pandas\u5e93\u7684read_csv<\/code>\u51fd\u6570\u53ef\u4ee5\u975e\u5e38\u65b9\u4fbf\u5730\u8bfb\u53d6CSV\u6587\u4ef6\uff0c\u5e76\u5c06\u5176\u8f6c\u6362\u6210DataFrame\u5bf9\u8c61\u3002\u7136\u540e\uff0c\u4f7f\u7528DataFrame\u5bf9\u8c61\u7684head<\/code>\u65b9\u6cd5\u53ef\u4ee5\u83b7\u53d6\u524d10\u884c\u6570\u636e\u3002head<\/code>\u65b9\u6cd5\u7684\u9ed8\u8ba4\u53c2\u6570\u662f5\uff0c\u5373df.head()<\/code>\u4f1a\u8fd4\u56de\u524d5\u884c\u6570\u636e\u3002\u4f60\u53ef\u4ee5\u4f20\u9012\u4e00\u4e2a\u6574\u6570\u53c2\u6570\u6765\u6307\u5b9a\u8fd4\u56de\u7684\u884c\u6570\uff0c\u6bd4\u5982df.head(10)<\/code>\u8fd4\u56de\u524d10\u884c\u6570\u636e\u3002<\/p>\n<\/p>\n
\u4e8c\u3001\u8bfb\u53d6\u6587\u672c\u6587\u4ef6\u5e76\u83b7\u53d6\u524d10\u884c\u6570\u636e<\/h3>\n<\/p>\n
\u5982\u679c\u4f60\u6709\u4e00\u4e2a\u6587\u672c\u6587\u4ef6\uff0c\u5e76\u4e14\u4f60\u60f3\u8981\u83b7\u53d6\u5176\u4e2d\u7684\u524d10\u884c\u6570\u636e\uff0c\u53ef\u4ee5\u4f7f\u7528Python\u7684\u5185\u7f6e\u51fd\u6570\u6765\u5b9e\u73b0\u3002<\/strong><\/p>\n<\/p>\n
# \u6253\u5f00\u6587\u4ef6\u5e76\u8bfb\u53d6\u524d10\u884c<\/p>\n
with open('your_file.txt', 'r') as file:<\/p>\n
    lines = []<\/p>\n
    for i in range(10):<\/p>\n
        line = file.readline()<\/p>\n
        if not line:<\/p>\n
            break<\/p>\n
        lines.append(line.strip())<\/p>\n
print(lines)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5c55\u5f00\u63cf\u8ff0\uff1a<\/strong><\/p>\n
\u8fd9\u91cc\u4f7f\u7528\u4e86Python\u7684open<\/code>\u51fd\u6570\u6253\u5f00\u6587\u4ef6\uff0c\u5e76\u4f7f\u7528readline<\/code>\u65b9\u6cd5\u9010\u884c\u8bfb\u53d6\u6587\u4ef6\u5185\u5bb9\u3002\u5c06\u6bcf\u4e00\u884c\u5185\u5bb9\u6dfb\u52a0\u5230\u5217\u8868\u4e2d\uff0c\u8bfb\u53d610\u884c\u540e\u505c\u6b62\u3002\u5982\u679c\u6587\u4ef6\u4e2d\u7684\u884c\u6570\u4e0d\u8db310\u884c\uff0c\u4ee3\u7801\u4f1a\u5728\u8bfb\u53d6\u5b8c\u6240\u6709\u884c\u540e\u505c\u6b62\u3002strip<\/code>\u65b9\u6cd5\u7528\u4e8e\u53bb\u9664\u6bcf\u884c\u672b\u5c3e\u7684\u6362\u884c\u7b26\u3002<\/p>\n<\/p>\n
\u4e09\u3001\u4ece\u6570\u636e\u5e93\u4e2d\u83b7\u53d6\u524d10\u884c\u6570\u636e<\/h3>\n<\/p>\n
\u5982\u679c\u6570\u636e\u5b58\u50a8\u5728\u6570\u636e\u5e93\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528Python\u7684\u6570\u636e\u5e93\u8fde\u63a5\u5e93\uff08\u5982sqlite3\u3001pymysql\u3001psycopg2\u7b49\uff09\u6765\u83b7\u53d6\u524d10\u884c\u6570\u636e\u3002\u4ee5\u4e0b\u662f\u4f7f\u7528sqlite3\u7684\u793a\u4f8b\uff1a<\/strong><\/p>\n<\/p>\n
import sqlite3<\/p>\n
\u8fde\u63a5\u5230\u6570\u636e\u5e93<\/strong><\/h2>\n
conn = sqlite3.connect('your_database.db')<\/p>\n
cursor = conn.cursor()<\/p>\n
\u6267\u884cSQL\u67e5\u8be2\u83b7\u53d6\u524d10\u884c\u6570\u636e<\/strong><\/h2>\n
cursor.execute('SELECT * FROM your_table LIMIT 10')<\/p>\n
rows = cursor.fetchall()<\/p>\n
print(rows)<\/p>\n
\u5173\u95ed\u8fde\u63a5<\/strong><\/h2>\n
conn.close()<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5c55\u5f00\u63cf\u8ff0\uff1a<\/strong><\/p>\n
\u9996\u5148\uff0c\u4f7f\u7528sqlite3.connect<\/code>\u51fd\u6570\u8fde\u63a5\u5230\u6570\u636e\u5e93\uff0c\u5e76\u521b\u5efa\u4e00\u4e2a\u6e38\u6807\u5bf9\u8c61\u3002\u7136\u540e\uff0c\u901a\u8fc7execute<\/code>\u65b9\u6cd5\u6267\u884cSQL\u67e5\u8be2\u547d\u4ee4\uff0c\u4f7f\u7528LIMIT 10<\/code>\u5b50\u53e5\u6765\u9650\u5236\u67e5\u8be2\u7ed3\u679c\u4e3a\u524d10\u884c\u6570\u636e\u3002\u4f7f\u7528fetchall<\/code>\u65b9\u6cd5\u83b7\u53d6\u6240\u6709\u67e5\u8be2\u7ed3\u679c\uff0c\u5e76\u5c06\u5176\u5b58\u50a8\u5728\u5217\u8868\u4e2d\u3002\u6700\u540e\uff0c\u5173\u95ed\u6570\u636e\u5e93\u8fde\u63a5\u3002<\/p>\n<\/p>\n
\u56db\u3001\u4f7f\u7528Numpy\u5e93\u83b7\u53d6\u524d10\u884c\u6570\u636e<\/h3>\n<\/p>\n
\u5982\u679c\u4f60\u6b63\u5728\u5904\u7406\u7684\u662f\u6570\u503c\u578b\u6570\u636e\uff0c\u5e76\u4e14\u4f7f\u7528Numpy\u5e93\u8fdb\u884c\u6570\u636e\u5904\u7406\uff0c\u53ef\u4ee5\u4f7f\u7528Numpy\u7684\u6570\u7ec4\u5207\u7247\u64cd\u4f5c\u83b7\u53d6\u524d10\u884c\u6570\u636e\u3002<\/strong><\/p>\n<\/p>\n
import numpy as np<\/p>\n
\u521b\u5efa\u4e00\u4e2a\u793a\u4f8b\u6570\u7ec4<\/strong><\/h2>\n
data = np.array([<\/p>\n
    [1, 2, 3],<\/p>\n
    [4, 5, 6],<\/p>\n
    [7, 8, 9],<\/p>\n
    [10, 11, 12],<\/p>\n
    [13, 14, 15],<\/p>\n
    [16, 17, 18],<\/p>\n
    [19, 20, 21],<\/p>\n
    [22, 23, 24],<\/p>\n
    [25, 26, 27],<\/p>\n
    [28, 29, 30],<\/p>\n
    [31, 32, 33]<\/p>\n
])<\/p>\n
\u83b7\u53d6\u524d10\u884c\u6570\u636e<\/strong><\/h2>\n
first_10_rows = data[:10, :]<\/p>\n
print(first_10_rows)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5c55\u5f00\u63cf\u8ff0\uff1a<\/strong><\/p>\n
Numpy\u7684\u6570\u7ec4\u5207\u7247\u64cd\u4f5c\u975e\u5e38\u5f3a\u5927\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u83b7\u53d6\u6570\u7ec4\u7684\u5b50\u96c6\u3002\u8fd9\u91cc\u4f7f\u7528data[:10, :]<\/code>\u8bed\u6cd5\u8868\u793a\u83b7\u53d6\u6570\u7ec4\u7684\u524d10\u884c\u6570\u636e\u3002:<\/code>\u8868\u793a\u9009\u62e9\u6240\u6709\u5217\uff0c:10<\/code>\u8868\u793a\u9009\u62e9\u524d10\u884c\u3002\u8fd9\u79cd\u65b9\u5f0f\u4e0d\u4ec5\u9002\u7528\u4e8e\u4e8c\u7ef4\u6570\u7ec4\uff0c\u8fd8\u53ef\u4ee5\u7528\u4e8e\u66f4\u9ad8\u7ef4\u5ea6\u7684\u6570\u7ec4\u3002<\/p>\n<\/p>\n
\u4e94\u3001\u4f7f\u7528\u5217\u8868\u64cd\u4f5c\u83b7\u53d6\u524d10\u884c\u6570\u636e<\/h3>\n<\/p>\n
\u5982\u679c\u4f60\u6709\u4e00\u4e2a\u5217\u8868\uff0c\u5e76\u4e14\u60f3\u8981\u83b7\u53d6\u524d10\u884c\u6570\u636e\uff0c\u53ef\u4ee5\u4f7f\u7528Python\u7684\u5207\u7247\u64cd\u4f5c\u3002<\/strong><\/p>\n<\/p>\n
# \u793a\u4f8b\u5217\u8868<\/p>\n
data = [<\/p>\n
    [1, 2, 3],<\/p>\n
    [4, 5, 6],<\/p>\n
    [7, 8, 9],<\/p>\n
    [10, 11, 12],<\/p>\n
    [13, 14, 15],<\/p>\n
    [16, 17, 18],<\/p>\n
    [19, 20, 21],<\/p>\n
    [22, 23, 24],<\/p>\n
    [25, 26, 27],<\/p>\n
    [28, 29, 30],<\/p>\n
    [31, 32, 33]<\/p>\n
]<\/p>\n
\u83b7\u53d6\u524d10\u884c\u6570\u636e<\/strong><\/h2>\n
first_10_rows = data[:10]<\/p>\n
print(first_10_rows)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5c55\u5f00\u63cf\u8ff0\uff1a<\/strong><\/p>\n
Python\u7684\u5217\u8868\u5207\u7247\u64cd\u4f5c\u975e\u5e38\u76f4\u89c2\u3002\u4f7f\u7528data[:10]<\/code>\u8bed\u6cd5\u8868\u793a\u83b7\u53d6\u5217\u8868\u7684\u524d10\u4e2a\u5143\u7d20\u3002\u5982\u679c\u5217\u8868\u7684\u957f\u5ea6\u4e0d\u8db310\u4e2a\u5143\u7d20\uff0c\u4ee3\u7801\u4f1a\u8fd4\u56de\u6574\u4e2a\u5217\u8868\uff0c\u800c\u4e0d\u4f1a\u5f15\u53d1\u9519\u8bef\u3002\u8fd9\u79cd\u65b9\u5f0f\u975e\u5e38\u9002\u5408\u5904\u7406\u7b80\u5355\u7684\u6570\u636e\u64cd\u4f5c\u3002<\/p>\n<\/p>\n
\u516d\u3001\u4f7f\u7528\u8fed\u4ee3\u5668\u548c\u751f\u6210\u5668\u83b7\u53d6\u524d10\u884c\u6570\u636e<\/h3>\n<\/p>\n
\u5982\u679c\u4f60\u6b63\u5728\u5904\u7406\u7684\u662f\u4e00\u4e2a\u5927\u6587\u4ef6\u6216\u6570\u636e\u6d41\uff0c\u5e76\u4e14\u60f3\u8981\u9010\u884c\u83b7\u53d6\u524d10\u884c\u6570\u636e\uff0c\u53ef\u4ee5\u4f7f\u7528Python\u7684\u8fed\u4ee3\u5668\u548c\u751f\u6210\u5668\u3002<\/strong><\/p>\n<\/p>\n
def get_first_10_lines(file_name):<\/p>\n
    with open(file_name, 'r') as file:<\/p>\n
        for i, line in enumerate(file):<\/p>\n
            if i < 10:<\/p>\n
                yield line.strip()<\/p>\n
            else:<\/p>\n
                break<\/p>\n
\u4f7f\u7528\u751f\u6210\u5668\u83b7\u53d6\u524d10\u884c\u6570\u636e<\/strong><\/h2>\n
for line in get_first_10_lines('your_file.txt'):<\/p>\n
    print(line)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5c55\u5f00\u63cf\u8ff0\uff1a<\/strong><\/p>\n
\u8fd9\u91cc\u5b9a\u4e49\u4e86\u4e00\u4e2a\u751f\u6210\u5668\u51fd\u6570get_first_10_lines<\/code>\uff0c\u5b83\u9010\u884c\u8bfb\u53d6\u6587\u4ef6\uff0c\u5e76\u5728\u8bfb\u53d6\u5230\u7b2c10\u884c\u540e\u505c\u6b62\u3002\u751f\u6210\u5668\u51fd\u6570\u4f7f\u7528yield<\/code>\u5173\u952e\u5b57\u9010\u884c\u8fd4\u56de\u6570\u636e\uff0c\u8fd9\u6837\u53ef\u4ee5\u5728\u5904\u7406\u5927\u6587\u4ef6\u65f6\u8282\u7701\u5185\u5b58\u3002\u4f7f\u7528\u751f\u6210\u5668\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7for<\/code>\u5faa\u73af\u9010\u884c\u83b7\u53d6\u6570\u636e\uff0c\u975e\u5e38\u9002\u5408\u5904\u7406\u6d41\u5f0f\u6570\u636e\u3002<\/p>\n<\/p>\n
\u4e03\u3001\u4f7f\u7528Dask\u5e93\u5904\u7406\u5927\u6570\u636e\u96c6\u5e76\u83b7\u53d6\u524d10\u884c\u6570\u636e<\/h3>\n<\/p>\n
Dask\u662f\u4e00\u4e2a\u5e76\u884c\u8ba1\u7b97\u5e93\uff0c\u9002\u7528\u4e8e\u5904\u7406\u5927\u6570\u636e\u96c6\u3002\u5982\u679c\u4f60\u6b63\u5728\u5904\u7406\u7684\u662f\u4e00\u4e2a\u975e\u5e38\u5927\u7684\u6570\u636e\u96c6\uff0c\u53ef\u4ee5\u4f7f\u7528Dask\u83b7\u53d6\u524d10\u884c\u6570\u636e\u3002<\/strong><\/p>\n<\/p>\n
import dask.dataframe as dd<\/p>\n
\u8bfb\u53d6CSV\u6587\u4ef6<\/strong><\/h2>\n
df = dd.read_csv('your_large_file.csv')<\/p>\n
\u83b7\u53d6\u524d10\u884c\u6570\u636e<\/strong><\/h2>\n
first_10_rows = df.head(10, compute=True)<\/p>\n
print(first_10_rows)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5c55\u5f00\u63cf\u8ff0\uff1a<\/strong><\/p>\n
Dask\u7684read_csv<\/code>\u51fd\u6570\u53ef\u4ee5\u8bfb\u53d6\u5927\u89c4\u6a21\u7684CSV\u6587\u4ef6\uff0c\u5e76\u5c06\u5176\u8f6c\u6362\u4e3aDask DataFrame\u5bf9\u8c61\u3002\u4f7f\u7528Dask DataFrame\u5bf9\u8c61\u7684head<\/code>\u65b9\u6cd5\u53ef\u4ee5\u83b7\u53d6\u524d10\u884c\u6570\u636e\u3002\u6ce8\u610f\uff0c\u8fd9\u91cc\u9700\u8981\u4f7f\u7528compute=True<\/code>\u53c2\u6570\u6765\u5b9e\u9645\u8ba1\u7b97\u7ed3\u679c\u5e76\u8fd4\u56de\u3002Dask\u7684\u4f18\u52bf\u5728\u4e8e\u5b83\u53ef\u4ee5\u5904\u7406\u8d85\u8fc7\u5185\u5b58\u5927\u5c0f\u7684\u6570\u636e\u96c6\uff0c\u5e76\u4e14\u652f\u6301\u5e76\u884c\u8ba1\u7b97\u3002<\/p>\n<\/p>\n
\u516b\u3001\u4f7f\u7528Polars\u5e93\u5904\u7406\u5927\u6570\u636e\u96c6\u5e76\u83b7\u53d6\u524d10\u884c\u6570\u636e<\/h3>\n<\/p>\n
Polars\u662f\u4e00\u4e2a\u65b0\u7684\u6570\u636e\u5904\u7406\u5e93\uff0c\u4e13\u4e3a\u9ad8\u6027\u80fd\u6570\u636e\u5206\u6790\u8bbe\u8ba1\u3002\u5982\u679c\u4f60\u6b63\u5728\u5904\u7406\u7684\u662f\u4e00\u4e2a\u5927\u6570\u636e\u96c6\uff0c\u53ef\u4ee5\u4f7f\u7528Polars\u83b7\u53d6\u524d10\u884c\u6570\u636e\u3002<\/strong><\/p>\n<\/p>\n
import polars as pl<\/p>\n
\u8bfb\u53d6CSV\u6587\u4ef6<\/strong><\/h2>\n
df = pl.read_csv('your_large_file.csv')<\/p>\n
\u83b7\u53d6\u524d10\u884c\u6570\u636e<\/strong><\/h2>\n
first_10_rows = df.head(10)<\/p>\n
print(first_10_rows)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5c55\u5f00\u63cf\u8ff0\uff1a<\/strong><\/p>\n
Polars\u7684read_csv<\/code>\u51fd\u6570\u53ef\u4ee5\u5feb\u901f\u8bfb\u53d6CSV\u6587\u4ef6\uff0c\u5e76\u5c06\u5176\u8f6c\u6362\u4e3aPolars DataFrame\u5bf9\u8c61\u3002\u4f7f\u7528Polars DataFrame\u5bf9\u8c61\u7684head<\/code>\u65b9\u6cd5\u53ef\u4ee5\u83b7\u53d6\u524d10\u884c\u6570\u636e\u3002Polars\u7684\u4f18\u52bf\u5728\u4e8e\u5b83\u7684\u9ad8\u6027\u80fd\u548c\u4f4e\u5185\u5b58\u5360\u7528\uff0c\u975e\u5e38\u9002\u5408\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u96c6\u3002<\/p>\n<\/p>\n
\u4e5d\u3001\u5904\u7406Excel\u6587\u4ef6\u5e76\u83b7\u53d6\u524d10\u884c\u6570\u636e<\/h3>\n<\/p>\n
\u5982\u679c\u4f60\u6b63\u5728\u5904\u7406Excel\u6587\u4ef6\uff0c\u53ef\u4ee5\u4f7f\u7528Pandas\u5e93\u8bfb\u53d6Excel\u6587\u4ef6\u5e76\u83b7\u53d6\u524d10\u884c\u6570\u636e\u3002<\/strong><\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u8bfb\u53d6Excel\u6587\u4ef6<\/strong><\/h2>\n
df = pd.read_excel('your_file.xlsx')<\/p>\n
\u83b7\u53d6\u524d10\u884c\u6570\u636e<\/strong><\/h2>\n
first_10_rows = df.head(10)<\/p>\n
print(first_10_rows)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5c55\u5f00\u63cf\u8ff0\uff1a<\/strong><\/p>\n
Pandas\u5e93\u7684read_excel<\/code>\u51fd\u6570\u53ef\u4ee5\u975e\u5e38\u65b9\u4fbf\u5730\u8bfb\u53d6Excel\u6587\u4ef6\uff0c\u5e76\u5c06\u5176\u8f6c\u6362\u6210DataFrame\u5bf9\u8c61\u3002\u7136\u540e\uff0c\u4f7f\u7528DataFrame\u5bf9\u8c61\u7684head<\/code>\u65b9\u6cd5\u53ef\u4ee5\u83b7\u53d6\u524d10\u884c\u6570\u636e\u3002\u8fd9\u79cd\u65b9\u5f0f\u975e\u5e38\u9002\u5408\u5904\u7406\u7ed3\u6784\u5316\u7684\u8868\u683c\u6570\u636e\u3002<\/p>\n<\/p>\n
\u5341\u3001\u5904\u7406JSON\u6587\u4ef6\u5e76\u83b7\u53d6\u524d10\u884c\u6570\u636e<\/h3>\n<\/p>\n
\u5982\u679c\u4f60\u6b63\u5728\u5904\u7406JSON\u6587\u4ef6\uff0c\u53ef\u4ee5\u4f7f\u7528Pandas\u5e93\u8bfb\u53d6JSON\u6587\u4ef6\u5e76\u83b7\u53d6\u524d10\u884c\u6570\u636e\u3002<\/strong><\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u8bfb\u53d6JSON\u6587\u4ef6<\/strong><\/h2>\n
df = pd.read_json('your_file.json')<\/p>\n
\u83b7\u53d6\u524d10\u884c\u6570\u636e<\/strong><\/h2>\n
first_10_rows = df.head(10)<\/p>\n
print(first_10_rows)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5c55\u5f00\u63cf\u8ff0\uff1a<\/strong><\/p>\n
Pandas\u5e93\u7684read_json<\/code>\u51fd\u6570\u53ef\u4ee5\u975e\u5e38\u65b9\u4fbf\u5730\u8bfb\u53d6JSON\u6587\u4ef6\uff0c\u5e76\u5c06\u5176\u8f6c\u6362\u6210DataFrame\u5bf9\u8c61\u3002\u7136\u540e\uff0c\u4f7f\u7528DataFrame\u5bf9\u8c61\u7684head<\/code>\u65b9\u6cd5\u53ef\u4ee5\u83b7\u53d6\u524d10\u884c\u6570\u636e\u3002\u8fd9\u79cd\u65b9\u5f0f\u975e\u5e38\u9002\u5408\u5904\u7406\u7ed3\u6784\u5316\u7684JSON\u6570\u636e\u3002<\/p>\n<\/p>\n
\u901a\u8fc7\u4ee5\u4e0a\u8fd9\u4e9b\u65b9\u6cd5\uff0c\u4f60\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u7684\u6570\u636e\u7c7b\u578b\u548c\u9700\u6c42\uff0c\u9009\u62e9\u6700\u9002\u5408\u7684\u65b9\u5f0f\u6765\u83b7\u53d6\u524d10\u884c\u6570\u636e\u3002\u5728\u5904\u7406\u5927\u89c4\u6a21\u6570\u636e\u65f6\uff0c\u5efa\u8bae\u4f7f\u7528Dask\u6216Polars\u7b49\u9ad8\u6027\u80fd\u6570\u636e\u5904\u7406\u5e93\uff0c\u4ee5\u63d0\u9ad8\u8ba1\u7b97\u6548\u7387\u548c\u8282\u7701\u5185\u5b58\u3002\u5e0c\u671b\u8fd9\u4e9b\u65b9\u6cd5\u80fd\u591f\u5e2e\u52a9\u4f60\u66f4\u597d\u5730\u5904\u7406\u6570\u636e\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u8bfb\u53d6\u6587\u4ef6\u7684\u524d10\u884c\u6570\u636e\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684open()<\/code>\u51fd\u6570\u7ed3\u5408readline()<\/code>\u6216readlines()<\/code>\u65b9\u6cd5\u6765\u8bfb\u53d6\u6587\u672c\u6587\u4ef6\u7684\u524d10\u884c\u3002\u4f8b\u5982\uff0c\u4f7f\u7528with open('\u6587\u4ef6\u540d.txt') as file:<\/code>\u8bed\u53e5\u6253\u5f00\u6587\u4ef6\uff0c\u7136\u540e\u901a\u8fc7\u5faa\u73af\u8bfb\u53d6\u524d10\u884c\u3002\u53e6\u4e00\u79cd\u65b9\u6cd5\u662f\u4f7f\u7528pandas<\/code>\u5e93\uff0c\u5b83\u7684read_csv()<\/code>\u51fd\u6570\u53ef\u4ee5\u76f4\u63a5\u8bfb\u53d6\u6587\u4ef6\uff0c\u5e76\u901a\u8fc7head(10)<\/code>\u65b9\u6cd5\u83b7\u53d6\u524d10\u884c\u6570\u636e\uff0c\u9002\u7528\u4e8eCSV\u683c\u5f0f\u7684\u6587\u4ef6\u3002<\/p>\n
\u4f7f\u7528Python\u7684pandas\u5e93\u83b7\u53d6\u524d10\u884c\u6570\u636e\u7684\u4f18\u52bf\u662f\u4ec0\u4e48\uff1f<\/strong>
\u4f7f\u7528pandas<\/code>\u5e93\u5904\u7406\u6570\u636e\u65f6\uff0c\u83b7\u53d6\u524d10\u884c\u6570\u636e\u975e\u5e38\u65b9\u4fbf\u4e14\u9ad8\u6548\u3002pandas<\/code>\u4e0d\u4ec5\u53ef\u4ee5\u5feb\u901f\u8bfb\u53d6\u5404\u79cd\u683c\u5f0f\u7684\u6570\u636e\uff08\u5982CSV\u3001Excel\u7b49\uff09\uff0c\u800c\u4e14\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u529f\u80fd\u3002\u901a\u8fc7df.head(10)<\/code>\uff0c\u7528\u6237\u53ef\u4ee5\u5feb\u901f\u67e5\u770b\u6570\u636e\u7684\u7ed3\u6784\u548c\u7279\u5f81\uff0c\u4fbf\u4e8e\u540e\u7eed\u7684\u6570\u636e\u5206\u6790\u4e0e\u5904\u7406\u3002<\/p>\n
\u5728\u6570\u636e\u5206\u6790\u4e2d\uff0c\u4e3a\u4ec0\u4e48\u83b7\u53d6\u524d10\u884c\u6570\u636e\u662f\u91cd\u8981\u7684\uff1f<\/strong>
\u5728\u6570\u636e\u5206\u6790\u8fc7\u7a0b\u4e2d\uff0c\u67e5\u770b\u6570\u636e\u7684\u524d10\u884c\u53ef\u4ee5\u5e2e\u52a9\u5206\u6790\u5e08\u5feb\u901f\u4e86\u89e3\u6570\u636e\u7684\u683c\u5f0f\u3001\u7f3a\u5931\u503c\u548c\u5f02\u5e38\u503c\u3002\u8fd9\u4e00\u8fc7\u7a0b\u6709\u52a9\u4e8e\u5728\u8fdb\u884c\u8fdb\u4e00\u6b65\u7684\u6570\u636e\u6e05\u6d17\u548c\u5904\u7406\u4e4b\u524d\uff0c\u5feb\u901f\u8bc4\u4f30\u6570\u636e\u96c6\u7684\u8d28\u91cf\u548c\u9002\u7528\u6027\u3002\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\uff0c\u5206\u6790\u5e08\u53ef\u4ee5\u5728\u65e9\u671f\u9636\u6bb5\u53d1\u73b0\u6f5c\u5728\u95ee\u9898\uff0c\u786e\u4fdd\u6570\u636e\u5206\u6790\u7684\u51c6\u786e\u6027\u548c\u53ef\u9760\u6027\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"\u5728Python\u4e2d\uff0c\u83b7\u53d6\u524d10\u884c\u6570\u636e\u7684\u65b9\u5f0f\u6709\u591a\u79cd\uff0c\u5177\u4f53\u65b9\u6cd5\u53d6\u51b3\u4e8e\u4f60\u6b63\u5728\u5904\u7406\u7684\u6570\u636e\u7c7b\u578b\u3002\u53ef\u4ee5\u4f7f\u7528Pandas\u5e93\u8bfb\u53d6 […]","protected":false},"author":3,"featured_media":1075042,"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\/1075034"}],"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=1075034"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1075034\/revisions"}],"predecessor-version":[{"id":1075046,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1075034\/revisions\/1075046"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1075042"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1075034"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1075034"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1075034"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}