{"id":1114144,"date":"2025-01-08T17:54:25","date_gmt":"2025-01-08T09:54:25","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1114144.html"},"modified":"2025-01-08T17:54:27","modified_gmt":"2025-01-08T09:54:27","slug":"%e5%9c%a8python%e4%b8%ad%e5%a6%82%e4%bd%95%e8%a7%84%e5%ae%9a%e6%af%8f%e8%a1%8c%e8%be%93%e5%87%ba%e7%9a%84%e4%b8%aa%e6%95%b0-2","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1114144.html","title":{"rendered":"\u5728Python\u4e2d\u5982\u4f55\u89c4\u5b9a\u6bcf\u884c\u8f93\u51fa\u7684\u4e2a\u6570"},"content":{"rendered":"

\"\u5728Python\u4e2d\u5982\u4f55\u89c4\u5b9a\u6bcf\u884c\u8f93\u51fa\u7684\u4e2a\u6570\"<\/p>\n

\u5728Python\u4e2d\u89c4\u5b9a\u6bcf\u884c\u8f93\u51fa\u7684\u4e2a\u6570\u53ef\u4ee5\u901a\u8fc7\u5faa\u73af\u3001\u5217\u8868\u5207\u7247\u3001\u5b57\u7b26\u4e32\u683c\u5f0f\u5316\u7b49\u65b9\u5f0f\u5b9e\u73b0<\/strong>\u3002\u901a\u8fc7\u5faa\u73af\u63a7\u5236\u8f93\u51fa\u7684\u6b65\u957f\u3001\u5229\u7528join<\/code>\u65b9\u6cd5\u5c06\u5217\u8868\u4e2d\u7684\u5143\u7d20\u683c\u5f0f\u5316\u6210\u5b57\u7b26\u4e32\u3001\u4f7f\u7528enumerate<\/code>\u83b7\u53d6\u7d22\u5f15\u6765\u63a7\u5236\u8f93\u51fa\u7b49\u65b9\u6cd5\uff0c\u53ef\u4ee5\u6709\u6548\u5730\u5b9e\u73b0\u6bcf\u884c\u8f93\u51fa\u7684\u4e2a\u6570\u3002\u4e0b\u9762\u6211\u4eec\u8be6\u7ec6\u8ba8\u8bba\u5176\u4e2d\u4e00\u79cd\u65b9\u6cd5\u3002<\/p>\n<\/p>\n

\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u5faa\u73af\u548c\u6761\u4ef6\u8bed\u53e5\u6765\u63a7\u5236\u6bcf\u884c\u8f93\u51fa\u7684\u4e2a\u6570\u3002\u4f8b\u5982\uff0c\u5982\u679c\u6211\u4eec\u6709\u4e00\u4e2a\u5217\u8868\u5e76\u5e0c\u671b\u6bcf\u884c\u8f93\u51fa\u7279\u5b9a\u6570\u91cf\u7684\u5143\u7d20\uff0c\u53ef\u4ee5\u4f7f\u7528for<\/code>\u5faa\u73af\u548cif<\/code>\u6761\u4ef6\u6765\u5b9e\u73b0\u3002\u5177\u4f53\u4ee3\u7801\u5982\u4e0b\uff1a<\/p>\n<\/p>\n

data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]<\/p>\n
num_per_line = 3<\/p>\n
for i in range(len(data)):<\/p>\n
    if i % num_per_line == 0 and i != 0:<\/p>\n
        print()<\/p>\n
    print(data[i], end=" ")<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u901a\u8fc7\u5faa\u73af\u904d\u5386\u5217\u8868data<\/code>\uff0c\u5e76\u4f7f\u7528if<\/code>\u6761\u4ef6\u6765\u68c0\u67e5\u5f53\u524d\u7d22\u5f15\u662f\u5426\u662fnum_per_line<\/code>\u7684\u500d\u6570\u3002\u5982\u679c\u662f\uff0c\u5219\u6362\u884c\u3002\u8fd9\u6837\uff0c\u6211\u4eec\u53ef\u4ee5\u63a7\u5236\u6bcf\u884c\u8f93\u51fa\u7684\u5143\u7d20\u4e2a\u6570\u3002\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u4ece\u591a\u4e2a\u65b9\u9762\u8be6\u7ec6\u63a2\u8ba8\u5728Python\u4e2d\u89c4\u5b9a\u6bcf\u884c\u8f93\u51fa\u7684\u4e2a\u6570\u7684\u65b9\u6cd5\u3002<\/p>\n<\/p>\n
\u4e00\u3001\u4f7f\u7528for\u5faa\u73af\u548c\u6761\u4ef6\u8bed\u53e5<\/h2>\n<\/p>\n
1.1 \u57fa\u672c\u65b9\u6cd5<\/h3>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528\u4e86for<\/code>\u5faa\u73af\u548cif<\/code>\u6761\u4ef6\u8bed\u53e5\u6765\u63a7\u5236\u6bcf\u884c\u8f93\u51fa\u7684\u4e2a\u6570\u3002\u8fd9\u79cd\u65b9\u6cd5\u7b80\u5355\u76f4\u89c2\uff0c\u9002\u7528\u4e8e\u5217\u8868\u6216\u5176\u4ed6\u53ef\u8fed\u4ee3\u5bf9\u8c61\u3002<\/p>\n<\/p>\n
data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]<\/p>\n
num_per_line = 3<\/p>\n
for i in range(len(data)):<\/p>\n
    if i % num_per_line == 0 and i != 0:<\/p>\n
        print()<\/p>\n
    print(data[i], end=" ")<\/p>\n
<\/code><\/pre>\n<\/p>\n
1.2 \u4f7f\u7528enumerate\u51fd\u6570<\/h3>\n<\/p>\n
enumerate<\/code>\u51fd\u6570\u53ef\u4ee5\u540c\u65f6\u83b7\u53d6\u7d22\u5f15\u548c\u503c\uff0c\u8fd9\u4f7f\u5f97\u4ee3\u7801\u66f4\u52a0\u7b80\u6d01\u3002<\/p>\n<\/p>\n
data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]<\/p>\n
num_per_line = 3<\/p>\n
for index, value in enumerate(data):<\/p>\n
    if index % num_per_line == 0 and index != 0:<\/p>\n
        print()<\/p>\n
    print(value, end=" ")<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e8c\u3001\u4f7f\u7528\u5217\u8868\u5207\u7247<\/h2>\n<\/p>\n
2.1 \u57fa\u672c\u65b9\u6cd5<\/h3>\n<\/p>\n
\u5217\u8868\u5207\u7247\u53ef\u4ee5\u5c06\u5927\u5217\u8868\u5207\u5272\u6210\u5c0f\u5217\u8868\uff0c\u7136\u540e\u9010\u4e2a\u8f93\u51fa\u3002\u867d\u7136\u8fd9\u79cd\u65b9\u6cd5\u6548\u7387\u8f83\u4f4e\uff0c\u4f46\u4ee3\u7801\u66f4\u52a0\u7b80\u6d01\u3002<\/p>\n<\/p>\n
data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]<\/p>\n
num_per_line = 3<\/p>\n
for i in range(0, len(data), num_per_line):<\/p>\n
    print(data[i:i+num_per_line])<\/p>\n
<\/code><\/pre>\n<\/p>\n
2.2 \u4f7f\u7528\u751f\u6210\u5668<\/h3>\n<\/p>\n
\u751f\u6210\u5668\u662f\u4e00\u79cd\u60f0\u6027\u6c42\u503c\u7684\u8fed\u4ee3\u5668\uff0c\u53ef\u4ee5\u5728\u9700\u8981\u65f6\u751f\u6210\u503c\u3002\u7ed3\u5408\u5217\u8868\u5207\u7247\u4f7f\u7528\u751f\u6210\u5668\uff0c\u53ef\u4ee5\u63d0\u9ad8\u5185\u5b58\u6548\u7387\u3002<\/p>\n<\/p>\n
def chunked(data, num_per_line):<\/p>\n
    for i in range(0, len(data), num_per_line):<\/p>\n
        yield data[i:i+num_per_line]<\/p>\n
data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]<\/p>\n
num_per_line = 3<\/p>\n
for chunk in chunked(data, num_per_line):<\/p>\n
    print(chunk)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e09\u3001\u4f7f\u7528\u5b57\u7b26\u4e32\u683c\u5f0f\u5316<\/h2>\n<\/p>\n
3.1 \u4f7f\u7528join\u65b9\u6cd5<\/h3>\n<\/p>\n
join<\/code>\u65b9\u6cd5\u53ef\u4ee5\u5c06\u5217\u8868\u4e2d\u7684\u5143\u7d20\u62fc\u63a5\u6210\u5b57\u7b26\u4e32\uff0c\u914d\u5408for<\/code>\u5faa\u73af\u548c\u5217\u8868\u5207\u7247\u4f7f\u7528\uff0c\u53ef\u4ee5\u6709\u6548\u63a7\u5236\u8f93\u51fa\u683c\u5f0f\u3002<\/p>\n<\/p>\n
data = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j']<\/p>\n
num_per_line = 3<\/p>\n
for i in range(0, len(data), num_per_line):<\/p>\n
    print(' '.join(data[i:i+num_per_line]))<\/p>\n
<\/code><\/pre>\n<\/p>\n
3.2 \u4f7f\u7528format\u65b9\u6cd5<\/h3>\n<\/p>\n
format<\/code>\u65b9\u6cd5\u53ef\u4ee5\u66f4\u52a0\u7075\u6d3b\u5730\u63a7\u5236\u8f93\u51fa\u683c\u5f0f\uff0c\u9002\u7528\u4e8e\u9700\u8981\u590d\u6742\u683c\u5f0f\u5316\u7684\u573a\u666f\u3002<\/p>\n<\/p>\n
data = ['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j']<\/p>\n
num_per_line = 3<\/p>\n
for i in range(0, len(data), num_per_line):<\/p>\n
    line = ' '.join(data[i:i+num_per_line])<\/p>\n
    print('{:<20}'.format(line))<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u56db\u3001\u4f7f\u7528\u7b2c\u4e09\u65b9\u5e93<\/h2>\n<\/p>\n
4.1 \u4f7f\u7528numpy\u5e93<\/h3>\n<\/p>\n
numpy<\/code>\u5e93\u63d0\u4f9b\u4e86\u5f3a\u5927\u7684\u6570\u7ec4\u64cd\u4f5c\u529f\u80fd\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u63a7\u5236\u6bcf\u884c\u8f93\u51fa\u7684\u4e2a\u6570\u3002<\/p>\n<\/p>\n
import numpy as np<\/p>\n
data = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])<\/p>\n
num_per_line = 3<\/p>\n
for line in np.array_split(data, np.ceil(len(data) \/ num_per_line)):<\/p>\n
    print(' '.join(map(str, line)))<\/p>\n
<\/code><\/pre>\n<\/p>\n
4.2 \u4f7f\u7528pandas\u5e93<\/h3>\n<\/p>\n
pandas<\/code>\u5e93\u63d0\u4f9b\u4e86\u6570\u636e\u6846\u548c\u5e8f\u5217\u7ed3\u6784\uff0c\u53ef\u4ee5\u65b9\u4fbf\u5730\u63a7\u5236\u6bcf\u884c\u8f93\u51fa\u7684\u4e2a\u6570\u3002<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
data = pd.Series([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])<\/p>\n
num_per_line = 3<\/p>\n
for i in range(0, len(data), num_per_line):<\/p>\n
    print(' '.join(map(str, data[i:i+num_per_line])))<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e94\u3001\u5b9e\u9645\u5e94\u7528\u573a\u666f<\/h2>\n<\/p>\n
5.1 \u6253\u5370\u77e9\u9635<\/h3>\n<\/p>\n
\u5728\u6253\u5370\u77e9\u9635\u65f6\uff0c\u5e38\u9700\u8981\u63a7\u5236\u6bcf\u884c\u8f93\u51fa\u7684\u5143\u7d20\u4e2a\u6570\u3002\u53ef\u4ee5\u7ed3\u5408\u4e0a\u9762\u7684\u65b9\u6cd5\uff0c\u8f7b\u677e\u5b9e\u73b0\u77e9\u9635\u7684\u683c\u5f0f\u5316\u8f93\u51fa\u3002<\/p>\n<\/p>\n
matrix = [<\/p>\n
    [1, 2, 3],<\/p>\n
    [4, 5, 6],<\/p>\n
    [7, 8, 9]<\/p>\n
]<\/p>\n
for row in matrix:<\/p>\n
    print(' '.join(map(str, row)))<\/p>\n
<\/code><\/pre>\n<\/p>\n
5.2 \u6253\u5370\u65e5\u5fd7<\/h3>\n<\/p>\n
\u5728\u6253\u5370\u65e5\u5fd7\u4fe1\u606f\u65f6\uff0c\u53ef\u80fd\u9700\u8981\u63a7\u5236\u6bcf\u884c\u8f93\u51fa\u7684\u65e5\u5fd7\u6761\u76ee\u6570\uff0c\u53ef\u4ee5\u4f7f\u7528for<\/code>\u5faa\u73af\u548c\u6761\u4ef6\u8bed\u53e5\u5b9e\u73b0\u3002<\/p>\n<\/p>\n
logs = [<\/p>\n
    "Log1", "Log2", "Log3", "Log4",<\/p>\n
    "Log5", "Log6", "Log7", "Log8"<\/p>\n
]<\/p>\n
num_per_line = 2<\/p>\n
for i, log in enumerate(logs):<\/p>\n
    if i % num_per_line == 0 and i != 0:<\/p>\n
        print()<\/p>\n
    print(log, end=" ")<\/p>\n
<\/code><\/pre>\n<\/p>\n
5.3 \u6570\u636e\u62a5\u544a\u751f\u6210<\/h3>\n<\/p>\n
\u5728\u751f\u6210\u6570\u636e\u62a5\u544a\u65f6\uff0c\u53ef\u80fd\u9700\u8981\u63a7\u5236\u6bcf\u884c\u8f93\u51fa\u7684\u8bb0\u5f55\u6570\uff0c\u53ef\u4ee5\u4f7f\u7528pandas<\/code>\u5e93\u5b9e\u73b0\u3002<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
data = pd.DataFrame({<\/p>\n
    'Name': ['Alice', 'Bob', 'Charlie', 'David', 'Eve'],<\/p>\n
    'Age': [24, 27, 22, 32, 29]<\/p>\n
})<\/p>\n
num_per_line = 2<\/p>\n
for i in range(0, len(data), num_per_line):<\/p>\n
    print(data.iloc[i:i+num_per_line])<\/p>\n
<\/code><\/pre>\n<\/p>\n
5.4 \u63a7\u5236\u53f0\u8868\u683c\u8f93\u51fa<\/h3>\n<\/p>\n
\u5728\u63a7\u5236\u53f0\u8f93\u51fa\u8868\u683c\u65f6\uff0c\u9700\u8981\u63a7\u5236\u6bcf\u884c\u8f93\u51fa\u7684\u5217\u6570\uff0c\u53ef\u4ee5\u4f7f\u7528prettytable<\/code>\u5e93\u5b9e\u73b0\u3002<\/p>\n<\/p>\n
from prettytable import PrettyTable<\/p>\n
table = PrettyTable()<\/p>\n
table.field_names = ["Name", "Age"]<\/p>\n
table.add_row(["Alice", 24])<\/p>\n
table.add_row(["Bob", 27])<\/p>\n
table.add_row(["Charlie", 22])<\/p>\n
table.add_row(["David", 32])<\/p>\n
table.add_row(["Eve", 29])<\/p>\n
print(table)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u516d\u3001\u6027\u80fd\u4f18\u5316<\/h2>\n<\/p>\n
6.1 \u4f7f\u7528\u751f\u6210\u5668<\/h3>\n<\/p>\n
\u751f\u6210\u5668\u53ef\u4ee5\u5728\u9700\u8981\u65f6\u751f\u6210\u503c\uff0c\u907f\u514d\u4e00\u6b21\u6027\u52a0\u8f7d\u6240\u6709\u6570\u636e\uff0c\u63d0\u9ad8\u5185\u5b58\u6548\u7387\u3002<\/p>\n<\/p>\n
def chunked(data, num_per_line):<\/p>\n
    for i in range(0, len(data), num_per_line):<\/p>\n
        yield data[i:i+num_per_line]<\/p>\n
data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]<\/p>\n
num_per_line = 3<\/p>\n
for chunk in chunked(data, num_per_line):<\/p>\n
    print(chunk)<\/p>\n
<\/code><\/pre>\n<\/p>\n
6.2 \u4f7f\u7528numpy\u5e93<\/h3>\n<\/p>\n
numpy<\/code>\u5e93\u5728\u5904\u7406\u5927\u6570\u636e\u65f6\u6548\u7387\u8f83\u9ad8\uff0c\u53ef\u4ee5\u6709\u6548\u63d0\u9ad8\u6027\u80fd\u3002<\/p>\n<\/p>\n
import numpy as np<\/p>\n
data = np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])<\/p>\n
num_per_line = 3<\/p>\n
for line in np.array_split(data, np.ceil(len(data) \/ num_per_line)):<\/p>\n
    print(' '.join(map(str, line)))<\/p>\n
<\/code><\/pre>\n<\/p>\n
6.3 \u4f7f\u7528\u5e76\u884c\u8ba1\u7b97<\/h3>\n<\/p>\n
\u5728\u5904\u7406\u5927\u91cf\u6570\u636e\u65f6\uff0c\u53ef\u4ee5\u4f7f\u7528\u5e76\u884c\u8ba1\u7b97\u63d0\u9ad8\u6027\u80fd\u3002<\/p>\n<\/p>\n
from multiprocessing import Pool<\/p>\n
def process_chunk(chunk):<\/p>\n
    return ' '.join(map(str, chunk))<\/p>\n
data = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]<\/p>\n
num_per_line = 3<\/p>\n
chunks = [data[i:i+num_per_line] for i in range(0, len(data), num_per_line)]<\/p>\n
with Pool() as pool:<\/p>\n
    results = pool.map(process_chunk, chunks)<\/p>\n
for result in results:<\/p>\n
    print(result)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u901a\u8fc7\u4ee5\u4e0a\u65b9\u6cd5\uff0c\u6211\u4eec\u53ef\u4ee5\u7075\u6d3b\u5730\u63a7\u5236Python\u4e2d\u6bcf\u884c\u8f93\u51fa\u7684\u4e2a\u6570\u3002\u6839\u636e\u5177\u4f53\u9700\u6c42\u548c\u6570\u636e\u91cf\u7684\u4e0d\u540c\uff0c\u53ef\u4ee5\u9009\u62e9\u5408\u9002\u7684\u65b9\u6cd5\u6765\u5b9e\u73b0\u9ad8\u6548\u7684\u8f93\u51fa\u63a7\u5236\u3002\u65e0\u8bba\u662f\u4f7f\u7528\u57fa\u672c\u7684for<\/code>\u5faa\u73af\u548c\u6761\u4ef6\u8bed\u53e5\uff0c\u8fd8\u662f\u501f\u52a9\u7b2c\u4e09\u65b9\u5e93\uff0c\u90fd\u80fd\u6ee1\u8db3\u4e0d\u540c\u573a\u666f\u4e0b\u7684\u9700\u6c42\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u63a7\u5236\u8f93\u51fa\u6bcf\u884c\u7684\u5143\u7d20\u6570\u91cf\uff1f<\/strong>
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