{"id":1180642,"date":"2025-01-15T18:40:19","date_gmt":"2025-01-15T10:40:19","guid":{"rendered":"https:\/\/docs.pingcode.com\/ask\/ask-ask\/1180642.html"},"modified":"2025-01-15T18:40:45","modified_gmt":"2025-01-15T10:40:45","slug":"python%e8%af%ad%e8%a8%80%e4%b8%ad%e5%a6%82%e4%bd%95%e5%88%a9%e7%94%a8csv","status":"publish","type":"post","link":"https:\/\/docs.pingcode.com\/ask\/1180642.html","title":{"rendered":"python\u8bed\u8a00\u4e2d\u5982\u4f55\u5229\u7528csv"},"content":{"rendered":"

\"python\u8bed\u8a00\u4e2d\u5982\u4f55\u5229\u7528csv\"<\/p>\n

Python\u8bed\u8a00\u4e2d\u5229\u7528CSV\u4e3b\u8981\u901a\u8fc7csv\u6a21\u5757\u3001pandas\u5e93\u3001numpy\u5e93\u7b49\u65b9\u5f0f\u5b9e\u73b0\u3002<\/strong>\u5176\u4e2d\uff0ccsv\u6a21\u5757<\/strong>\u662fPython\u5185\u7f6e\u7684\u5904\u7406CSV\u6587\u4ef6\u7684\u6a21\u5757\uff0c\u9002\u5408\u5904\u7406\u7b80\u5355\u7684CSV\u6587\u4ef6\u64cd\u4f5c\uff1bpandas\u5e93<\/strong>\u662f\u529f\u80fd\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u5e93\uff0c\u9002\u5408\u5904\u7406\u590d\u6742\u7684\u6570\u636e\u5206\u6790\u4efb\u52a1\uff1bnumpy\u5e93<\/strong>\u5219\u53ef\u4ee5\u7528\u4e8e\u5904\u7406CSV\u6587\u4ef6\u4e2d\u7684\u6570\u503c\u6570\u636e\u3002\u672c\u6587\u5c06\u91cd\u70b9\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528\u8fd9\u4e09\u79cd\u65b9\u5f0f\u5904\u7406CSV\u6587\u4ef6\u3002<\/p>\n<\/p>\n

csv\u6a21\u5757\u7684\u8be6\u7ec6\u4f7f\u7528<\/strong>\uff1acsv\u6a21\u5757\u662fPython\u5185\u7f6e\u7684\u6807\u51c6\u5e93\u4e4b\u4e00\uff0c\u7528\u4e8e\u8bfb\u53d6\u548c\u5199\u5165CSV\u6587\u4ef6\u3002CSV\uff08Comma-Separated Values\uff09\u6587\u4ef6\u662f\u4e00\u79cd\u4ee5\u9017\u53f7\u5206\u9694\u7684\u7eaf\u6587\u672c\u6587\u4ef6\uff0c\u5e38\u7528\u4e8e\u8868\u683c\u6570\u636e\u7684\u5b58\u50a8\u548c\u4ea4\u6362\u3002csv\u6a21\u5757\u63d0\u4f9b\u4e86\u8bfb\u53d6\u5668\u548c\u5199\u5165\u5668\u5bf9\u8c61\uff0c\u5206\u522b\u7528\u4e8e\u8bfb\u53d6\u548c\u5199\u5165CSV\u6587\u4ef6\u3002\u4ee5\u4e0b\u662fcsv\u6a21\u5757\u7684\u8be6\u7ec6\u4f7f\u7528\u65b9\u6cd5\u3002<\/p>\n<\/p>\n

import csv<\/p>\n
\u8bfb\u53d6CSV\u6587\u4ef6<\/strong><\/h2>\n
with open('example.csv', 'r') as file:<\/p>\n
    reader = csv.reader(file)<\/p>\n
    for row in reader:<\/p>\n
        print(row)<\/p>\n
\u5199\u5165CSV\u6587\u4ef6<\/strong><\/h2>\n
with open('output.csv', 'w', newline='') as file:<\/p>\n
    writer = csv.writer(file)<\/p>\n
    writer.writerow(['Name', 'Age', 'City'])<\/p>\n
    writer.writerow(['Alice', '30', 'New York'])<\/p>\n
    writer.writerow(['Bob', '25', 'Los Angeles'])<\/p>\n
    writer.writerow(['Charlie', '35', 'Chicago'])<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u4e00\u3001CSV\u6a21\u5757<\/p>\n<\/p>\n
1\u3001\u8bfb\u53d6CSV\u6587\u4ef6<\/h3>\n<\/p>\n
\u4f7f\u7528csv\u6a21\u5757\u8bfb\u53d6CSV\u6587\u4ef6\u975e\u5e38\u7b80\u5355\uff0c\u53ef\u4ee5\u4f7f\u7528csv.reader\u5bf9\u8c61\u6765\u9010\u884c\u8bfb\u53d6\u6587\u4ef6\u5185\u5bb9\u3002csv.reader\u5bf9\u8c61\u5c06\u6bcf\u884c\u5185\u5bb9\u89e3\u6790\u4e3a\u4e00\u4e2a\u5217\u8868\uff0c\u5176\u4e2d\u6bcf\u4e2a\u5143\u7d20\u5bf9\u5e94\u4e00\u4e2a\u5b57\u6bb5\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
import csv<\/p>\n
\u6253\u5f00CSV\u6587\u4ef6<\/strong><\/h2>\n
with open('example.csv', 'r') as file:<\/p>\n
    reader = csv.reader(file)<\/p>\n
    # \u9010\u884c\u8bfb\u53d6\u6587\u4ef6\u5185\u5bb9<\/p>\n
    for row in reader:<\/p>\n
        print(row)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528with open('example.csv', 'r') as file:<\/code>\u8bed\u53e5\u6253\u5f00\u4e86\u4e00\u4e2a\u540d\u4e3aexample.csv\u7684\u6587\u4ef6\uff0c\u5e76\u521b\u5efa\u4e86\u4e00\u4e2acsv.reader\u5bf9\u8c61\u6765\u8bfb\u53d6\u6587\u4ef6\u5185\u5bb9\u3002\u7136\u540e\uff0c\u6211\u4eec\u4f7f\u7528for\u5faa\u73af\u9010\u884c\u8bfb\u53d6\u6587\u4ef6\u5185\u5bb9\uff0c\u5e76\u5c06\u6bcf\u884c\u5185\u5bb9\u6253\u5370\u51fa\u6765\u3002<\/p>\n<\/p>\n
2\u3001\u5199\u5165CSV\u6587\u4ef6<\/h3>\n<\/p>\n
\u4f7f\u7528csv\u6a21\u5757\u5199\u5165CSV\u6587\u4ef6\u540c\u6837\u7b80\u5355\uff0c\u53ef\u4ee5\u4f7f\u7528csv.writer\u5bf9\u8c61\u6765\u9010\u884c\u5199\u5165\u6587\u4ef6\u5185\u5bb9\u3002csv.writer\u5bf9\u8c61\u5c06\u6bcf\u884c\u5185\u5bb9\u8f6c\u6362\u4e3a\u4ee5\u9017\u53f7\u5206\u9694\u7684\u5b57\u7b26\u4e32\uff0c\u5e76\u5199\u5165\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
import csv<\/p>\n
\u6253\u5f00CSV\u6587\u4ef6<\/strong><\/h2>\n
with open('output.csv', 'w', newline='') as file:<\/p>\n
    writer = csv.writer(file)<\/p>\n
    # \u5199\u5165\u8868\u5934<\/p>\n
    writer.writerow(['Name', 'Age', 'City'])<\/p>\n
    # \u5199\u5165\u6570\u636e<\/p>\n
    writer.writerow(['Alice', '30', 'New York'])<\/p>\n
    writer.writerow(['Bob', '25', 'Los Angeles'])<\/p>\n
    writer.writerow(['Charlie', '35', 'Chicago'])<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528with open('output.csv', 'w', newline='') as file:<\/code>\u8bed\u53e5\u6253\u5f00\u4e86\u4e00\u4e2a\u540d\u4e3aoutput.csv\u7684\u6587\u4ef6\uff0c\u5e76\u521b\u5efa\u4e86\u4e00\u4e2acsv.writer\u5bf9\u8c61\u6765\u5199\u5165\u6587\u4ef6\u5185\u5bb9\u3002\u7136\u540e\uff0c\u6211\u4eec\u4f7f\u7528writer.writerow()\u65b9\u6cd5\u9010\u884c\u5199\u5165\u6587\u4ef6\u5185\u5bb9\u3002<\/p>\n<\/p>\n
3\u3001\u8bfb\u53d6\u5e26\u6709\u8868\u5934\u7684CSV\u6587\u4ef6<\/h3>\n<\/p>\n
\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0cCSV\u6587\u4ef6\u901a\u5e38\u5e26\u6709\u8868\u5934\uff0c\u5373\u7b2c\u4e00\u884c\u5305\u542b\u5b57\u6bb5\u540d\u79f0\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528csv.DictReader\u5bf9\u8c61\u6765\u8bfb\u53d6\u5e26\u6709\u8868\u5934\u7684CSV\u6587\u4ef6\u3002csv.DictReader\u5bf9\u8c61\u5c06\u6bcf\u884c\u5185\u5bb9\u89e3\u6790\u4e3a\u4e00\u4e2a\u5b57\u5178\uff0c\u5176\u4e2d\u5b57\u6bb5\u540d\u79f0\u4f5c\u4e3a\u952e\uff0c\u5bf9\u5e94\u7684\u5b57\u6bb5\u503c\u4f5c\u4e3a\u503c\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
import csv<\/p>\n
\u6253\u5f00CSV\u6587\u4ef6<\/strong><\/h2>\n
with open('example.csv', 'r') as file:<\/p>\n
    reader = csv.DictReader(file)<\/p>\n
    # \u9010\u884c\u8bfb\u53d6\u6587\u4ef6\u5185\u5bb9<\/p>\n
    for row in reader:<\/p>\n
        print(row)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528with open('example.csv', 'r') as file:<\/code>\u8bed\u53e5\u6253\u5f00\u4e86\u4e00\u4e2a\u540d\u4e3aexample.csv\u7684\u6587\u4ef6\uff0c\u5e76\u521b\u5efa\u4e86\u4e00\u4e2acsv.DictReader\u5bf9\u8c61\u6765\u8bfb\u53d6\u6587\u4ef6\u5185\u5bb9\u3002\u7136\u540e\uff0c\u6211\u4eec\u4f7f\u7528for\u5faa\u73af\u9010\u884c\u8bfb\u53d6\u6587\u4ef6\u5185\u5bb9\uff0c\u5e76\u5c06\u6bcf\u884c\u5185\u5bb9\u6253\u5370\u51fa\u6765\u3002<\/p>\n<\/p>\n
4\u3001\u5199\u5165\u5e26\u6709\u8868\u5934\u7684CSV\u6587\u4ef6<\/h3>\n<\/p>\n
\u6211\u4eec\u540c\u6837\u53ef\u4ee5\u4f7f\u7528csv.DictWriter\u5bf9\u8c61\u6765\u5199\u5165\u5e26\u6709\u8868\u5934\u7684CSV\u6587\u4ef6\u3002csv.DictWriter\u5bf9\u8c61\u5c06\u6bcf\u884c\u5185\u5bb9\u8f6c\u6362\u4e3a\u4ee5\u9017\u53f7\u5206\u9694\u7684\u5b57\u7b26\u4e32\uff0c\u5e76\u5199\u5165\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
import csv<\/p>\n
\u6253\u5f00CSV\u6587\u4ef6<\/strong><\/h2>\n
with open('output.csv', 'w', newline='') as file:<\/p>\n
    fieldnames = ['Name', 'Age', 'City']<\/p>\n
    writer = csv.DictWriter(file, fieldnames=fieldnames)<\/p>\n
    # \u5199\u5165\u8868\u5934<\/p>\n
    writer.writeheader()<\/p>\n
    # \u5199\u5165\u6570\u636e<\/p>\n
    writer.writerow({'Name': 'Alice', 'Age': '30', 'City': 'New York'})<\/p>\n
    writer.writerow({'Name': 'Bob', 'Age': '25', 'City': 'Los Angeles'})<\/p>\n
    writer.writerow({'Name': 'Charlie', 'Age': '35', 'City': 'Chicago'})<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528with open('output.csv', 'w', newline='') as file:<\/code>\u8bed\u53e5\u6253\u5f00\u4e86\u4e00\u4e2a\u540d\u4e3aoutput.csv\u7684\u6587\u4ef6\uff0c\u5e76\u521b\u5efa\u4e86\u4e00\u4e2acsv.DictWriter\u5bf9\u8c61\u6765\u5199\u5165\u6587\u4ef6\u5185\u5bb9\u3002\u7136\u540e\uff0c\u6211\u4eec\u4f7f\u7528writer.writeheader()\u65b9\u6cd5\u5199\u5165\u8868\u5934\uff0c\u5e76\u4f7f\u7528writer.writerow()\u65b9\u6cd5\u9010\u884c\u5199\u5165\u6570\u636e\u3002<\/p>\n<\/p>\n
\u4e8c\u3001Pandas\u5e93<\/p>\n<\/p>\n
1\u3001\u8bfb\u53d6CSV\u6587\u4ef6<\/h3>\n<\/p>\n
Pandas\u5e93\u662f\u529f\u80fd\u5f3a\u5927\u7684\u6570\u636e\u5904\u7406\u5e93\uff0c\u53ef\u4ee5\u7528\u4e8e\u8bfb\u53d6\u548c\u5199\u5165CSV\u6587\u4ef6\u3002\u4f7f\u7528pandas.read_csv()\u51fd\u6570\u53ef\u4ee5\u8bfb\u53d6CSV\u6587\u4ef6\uff0c\u5e76\u5c06\u6587\u4ef6\u5185\u5bb9\u52a0\u8f7d\u5230\u4e00\u4e2aDataFrame\u5bf9\u8c61\u4e2d\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u8bfb\u53d6CSV\u6587\u4ef6<\/strong><\/h2>\n
df = pd.read_csv('example.csv')<\/p>\n
\u663e\u793aDataFrame\u5bf9\u8c61<\/strong><\/h2>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528pandas.read_csv()\u51fd\u6570\u8bfb\u53d6\u4e86\u4e00\u4e2a\u540d\u4e3aexample.csv\u7684\u6587\u4ef6\uff0c\u5e76\u5c06\u6587\u4ef6\u5185\u5bb9\u52a0\u8f7d\u5230\u4e00\u4e2aDataFrame\u5bf9\u8c61\u4e2d\u3002\u7136\u540e\uff0c\u6211\u4eec\u4f7f\u7528print()\u51fd\u6570\u663e\u793aDataFrame\u5bf9\u8c61\u7684\u5185\u5bb9\u3002<\/p>\n<\/p>\n
2\u3001\u5199\u5165CSV\u6587\u4ef6<\/h3>\n<\/p>\n
\u4f7f\u7528pandas.DataFrame.to_csv()\u65b9\u6cd5\u53ef\u4ee5\u5c06DataFrame\u5bf9\u8c61\u5199\u5165CSV\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u521b\u5efaDataFrame\u5bf9\u8c61<\/strong><\/h2>\n
data = {<\/p>\n
    'Name': ['Alice', 'Bob', 'Charlie'],<\/p>\n
    'Age': [30, 25, 35],<\/p>\n
    'City': ['New York', 'Los Angeles', 'Chicago']<\/p>\n
}<\/p>\n
df = pd.DataFrame(data)<\/p>\n
\u5199\u5165CSV\u6587\u4ef6<\/strong><\/h2>\n
df.to_csv('output.csv', index=False)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u521b\u5efa\u4e86\u4e00\u4e2a\u5305\u542b\u6570\u636e\u7684DataFrame\u5bf9\u8c61\uff0c\u5e76\u4f7f\u7528pandas.DataFrame.to_csv()\u65b9\u6cd5\u5c06DataFrame\u5bf9\u8c61\u5199\u5165\u4e00\u4e2a\u540d\u4e3aoutput.csv\u7684\u6587\u4ef6\u3002index=False<\/code>\u53c2\u6570\u7528\u4e8e\u6307\u5b9a\u4e0d\u5c06\u7d22\u5f15\u5199\u5165\u6587\u4ef6\u3002<\/p>\n<\/p>\n
3\u3001\u8bfb\u53d6\u5e26\u6709\u7279\u5b9a\u5206\u9694\u7b26\u7684CSV\u6587\u4ef6<\/h3>\n<\/p>\n
\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\uff0cCSV\u6587\u4ef6\u53ef\u80fd\u4f7f\u7528\u5176\u4ed6\u5206\u9694\u7b26\uff08\u4f8b\u5982\u5236\u8868\u7b26\u3001\u5206\u53f7\uff09\u800c\u4e0d\u662f\u9017\u53f7\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528pandas.read_csv()\u51fd\u6570\u7684sep\u53c2\u6570\u6765\u6307\u5b9a\u5206\u9694\u7b26\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u8bfb\u53d6\u4f7f\u7528\u5236\u8868\u7b26\u5206\u9694\u7684CSV\u6587\u4ef6<\/strong><\/h2>\n
df = pd.read_csv('example.tsv', sep='\\t')<\/p>\n
\u663e\u793aDataFrame\u5bf9\u8c61<\/strong><\/h2>\n
print(df)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528pandas.read_csv()\u51fd\u6570\u7684sep\u53c2\u6570\u6307\u5b9a\u4e86\u5236\u8868\u7b26\u4f5c\u4e3a\u5206\u9694\u7b26\uff0c\u5e76\u8bfb\u53d6\u4e86\u4e00\u4e2a\u540d\u4e3aexample.tsv\u7684\u6587\u4ef6\u3002<\/p>\n<\/p>\n
4\u3001\u5904\u7406\u7f3a\u5931\u503c<\/h3>\n<\/p>\n
\u5728\u8bfb\u53d6CSV\u6587\u4ef6\u65f6\uff0c\u53ef\u80fd\u4f1a\u9047\u5230\u7f3a\u5931\u503c\u3002Pandas\u5e93\u63d0\u4f9b\u4e86\u4e00\u4e9b\u65b9\u6cd5\u6765\u5904\u7406\u7f3a\u5931\u503c\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
import pandas as pd<\/p>\n
\u8bfb\u53d6CSV\u6587\u4ef6<\/strong><\/h2>\n
df = pd.read_csv('example.csv')<\/p>\n
\u663e\u793a\u5305\u542b\u7f3a\u5931\u503c\u7684DataFrame\u5bf9\u8c61<\/strong><\/h2>\n
print(df)<\/p>\n
\u586b\u5145\u7f3a\u5931\u503c<\/strong><\/h2>\n
df_filled = df.fillna(0)<\/p>\n
print(df_filled)<\/p>\n
\u5220\u9664\u5305\u542b\u7f3a\u5931\u503c\u7684\u884c<\/strong><\/h2>\n
df_dropped = df.dropna()<\/p>\n
print(df_dropped)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528pandas.read_csv()\u51fd\u6570\u8bfb\u53d6\u4e86\u4e00\u4e2a\u540d\u4e3aexample.csv\u7684\u6587\u4ef6\uff0c\u5e76\u663e\u793a\u4e86\u5305\u542b\u7f3a\u5931\u503c\u7684DataFrame\u5bf9\u8c61\u3002\u7136\u540e\uff0c\u6211\u4eec\u4f7f\u7528pandas.DataFrame.fillna()\u65b9\u6cd5\u5c06\u7f3a\u5931\u503c\u586b\u5145\u4e3a0\uff0c\u5e76\u4f7f\u7528pandas.DataFrame.dropna()\u65b9\u6cd5\u5220\u9664\u5305\u542b\u7f3a\u5931\u503c\u7684\u884c\u3002<\/p>\n<\/p>\n
\u4e09\u3001Numpy\u5e93<\/p>\n<\/p>\n
1\u3001\u8bfb\u53d6CSV\u6587\u4ef6<\/h3>\n<\/p>\n
Numpy\u5e93\u53ef\u4ee5\u7528\u4e8e\u5904\u7406CSV\u6587\u4ef6\u4e2d\u7684\u6570\u503c\u6570\u636e\u3002\u4f7f\u7528numpy.genfromtxt()\u51fd\u6570\u53ef\u4ee5\u8bfb\u53d6CSV\u6587\u4ef6\uff0c\u5e76\u5c06\u6587\u4ef6\u5185\u5bb9\u52a0\u8f7d\u5230\u4e00\u4e2aNumpy\u6570\u7ec4\u4e2d\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
import numpy as np<\/p>\n
\u8bfb\u53d6CSV\u6587\u4ef6<\/strong><\/h2>\n
data = np.genfromtxt('example.csv', delimiter=',', skip_header=1)<\/p>\n
\u663e\u793aNumpy\u6570\u7ec4<\/strong><\/h2>\n
print(data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528numpy.genfromtxt()\u51fd\u6570\u8bfb\u53d6\u4e86\u4e00\u4e2a\u540d\u4e3aexample.csv\u7684\u6587\u4ef6\uff0c\u5e76\u5c06\u6587\u4ef6\u5185\u5bb9\u52a0\u8f7d\u5230\u4e00\u4e2aNumpy\u6570\u7ec4\u4e2d\u3002delimiter=','<\/code>\u53c2\u6570\u7528\u4e8e\u6307\u5b9a\u9017\u53f7\u4f5c\u4e3a\u5206\u9694\u7b26\uff0cskip_header=1<\/code>\u53c2\u6570\u7528\u4e8e\u8df3\u8fc7\u6587\u4ef6\u7684\u7b2c\u4e00\u884c\uff08\u8868\u5934\uff09\u3002<\/p>\n<\/p>\n
2\u3001\u5199\u5165CSV\u6587\u4ef6<\/h3>\n<\/p>\n
\u4f7f\u7528numpy.savetxt()\u51fd\u6570\u53ef\u4ee5\u5c06Numpy\u6570\u7ec4\u5199\u5165CSV\u6587\u4ef6\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
import numpy as np<\/p>\n
\u521b\u5efaNumpy\u6570\u7ec4<\/strong><\/h2>\n
data = np.array([[1, 2, 3], [4, 5, 6], [7, 8, 9]])<\/p>\n
\u5199\u5165CSV\u6587\u4ef6<\/strong><\/h2>\n
np.savetxt('output.csv', data, delimiter=',')<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u521b\u5efa\u4e86\u4e00\u4e2aNumpy\u6570\u7ec4\uff0c\u5e76\u4f7f\u7528numpy.savetxt()\u51fd\u6570\u5c06Numpy\u6570\u7ec4\u5199\u5165\u4e00\u4e2a\u540d\u4e3aoutput.csv\u7684\u6587\u4ef6\u3002delimiter=','<\/code>\u53c2\u6570\u7528\u4e8e\u6307\u5b9a\u9017\u53f7\u4f5c\u4e3a\u5206\u9694\u7b26\u3002<\/p>\n<\/p>\n
3\u3001\u8bfb\u53d6\u5e26\u6709\u7f3a\u5931\u503c\u7684CSV\u6587\u4ef6<\/h3>\n<\/p>\n
\u5728\u8bfb\u53d6CSV\u6587\u4ef6\u65f6\uff0c\u53ef\u80fd\u4f1a\u9047\u5230\u7f3a\u5931\u503c\u3002\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528numpy.genfromtxt()\u51fd\u6570\u7684missing_values\u53c2\u6570\u548cfilling_values\u53c2\u6570\u6765\u5904\u7406\u7f3a\u5931\u503c\u3002\u4ee5\u4e0b\u662f\u4e00\u4e2a\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<\/p>\n
import numpy as np<\/p>\n
\u8bfb\u53d6CSV\u6587\u4ef6<\/strong><\/h2>\n
data = np.genfromtxt('example.csv', delimiter=',', skip_header=1, missing_values='', filling_values=0)<\/p>\n
\u663e\u793aNumpy\u6570\u7ec4<\/strong><\/h2>\n
print(data)<\/p>\n
<\/code><\/pre>\n<\/p>\n
\u5728\u4e0a\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u4f7f\u7528numpy.genfromtxt()\u51fd\u6570\u7684missing_values\u53c2\u6570\u548cfilling_values\u53c2\u6570\u6307\u5b9a\u4e86\u7f3a\u5931\u503c\u548c\u586b\u5145\u503c\uff0c\u5e76\u8bfb\u53d6\u4e86\u4e00\u4e2a\u540d\u4e3aexample.csv\u7684\u6587\u4ef6\u3002<\/p>\n<\/p>\n
\u56db\u3001\u603b\u7ed3<\/p>\n<\/p>\n
\u901a\u8fc7\u672c\u6587\u7684\u4ecb\u7ecd\uff0c\u6211\u4eec\u5b66\u4e60\u4e86Python\u8bed\u8a00\u4e2d\u5229\u7528CSV\u7684\u4e09\u79cd\u4e3b\u8981\u65b9\u5f0f\uff1acsv\u6a21\u5757\u3001pandas\u5e93\u548cnumpy\u5e93\u3002csv\u6a21\u5757\u9002\u5408\u5904\u7406\u7b80\u5355\u7684CSV\u6587\u4ef6\u64cd\u4f5c\uff0c<\/strong>\u4f8b\u5982\u9010\u884c\u8bfb\u53d6\u548c\u5199\u5165\u6587\u4ef6\u5185\u5bb9\uff0cpandas\u5e93\u529f\u80fd\u5f3a\u5927\uff0c\u9002\u5408\u5904\u7406\u590d\u6742\u7684\u6570\u636e\u5206\u6790\u4efb\u52a1\uff0c<\/strong>\u4f8b\u5982\u8bfb\u53d6\u548c\u5199\u5165\u5e26\u6709\u8868\u5934\u7684CSV\u6587\u4ef6\u3001\u5904\u7406\u7f3a\u5931\u503c\u7b49\uff0cnumpy\u5e93\u9002\u5408\u5904\u7406CSV\u6587\u4ef6\u4e2d\u7684\u6570\u503c\u6570\u636e\uff0c<\/strong>\u4f8b\u5982\u8bfb\u53d6\u548c\u5199\u5165Numpy\u6570\u7ec4\u3001\u5904\u7406\u7f3a\u5931\u503c\u7b49\u3002<\/p>\n<\/p>\n
\u5728\u5b9e\u9645\u5e94\u7528\u4e2d\uff0c\u6211\u4eec\u53ef\u4ee5\u6839\u636e\u5177\u4f53\u9700\u6c42\u9009\u62e9\u5408\u9002\u7684\u65b9\u5f0f\u6765\u5904\u7406CSV\u6587\u4ef6\u3002\u5e0c\u671b\u672c\u6587\u7684\u4ecb\u7ecd\u80fd\u5e2e\u52a9\u60a8\u66f4\u597d\u5730\u5229\u7528Python\u8bed\u8a00\u5904\u7406CSV\u6587\u4ef6\uff0c\u63d0\u9ad8\u5de5\u4f5c\u6548\u7387\u3002<\/p>\n<\/p>\n
\u76f8\u5173\u95ee\u7b54FAQs\uff1a<\/strong><\/h2>\n
 \u5982\u4f55\u5728Python\u4e2d\u8bfb\u53d6CSV\u6587\u4ef6\uff1f<\/strong>
\u5728Python\u4e2d\uff0c\u53ef\u4ee5\u4f7f\u7528\u5185\u7f6e\u7684csv<\/code>\u6a21\u5757\u6216pandas<\/code>\u5e93\u6765\u8bfb\u53d6CSV\u6587\u4ef6\u3002\u4f7f\u7528csv<\/code>\u6a21\u5757\u65f6\uff0c\u53ef\u4ee5\u901a\u8fc7csv.reader<\/code>\u51fd\u6570\u8bfb\u53d6\u6587\u4ef6\uff0c\u5e76\u9010\u884c\u5904\u7406\u6570\u636e\u3002\u4f7f\u7528pandas<\/code>\u5e93\u5219\u66f4\u4e3a\u7b80\u4fbf\uff0c\u53ea\u9700\u8c03\u7528pandas.read_csv()<\/code>\u51fd\u6570\u5373\u53ef\u5c06\u6574\u4e2aCSV\u6587\u4ef6\u52a0\u8f7d\u4e3aDataFrame\u683c\u5f0f\uff0c\u65b9\u4fbf\u540e\u7eed\u7684\u6570\u636e\u5206\u6790\u548c\u5904\u7406\u3002<\/p>\n
\u5728Python\u4e2d\u5199\u5165CSV\u6587\u4ef6\u7684\u6700\u4f73\u5b9e\u8df5\u662f\u4ec0\u4e48\uff1f<\/strong>
\u5199\u5165CSV\u6587\u4ef6\u65f6\uff0c\u63a8\u8350\u4f7f\u7528csv.writer<\/code>\u6216pandas.DataFrame.to_csv()<\/code>\u65b9\u6cd5\u3002\u4f7f\u7528csv.writer<\/code>\u65f6\uff0c\u9700\u8981\u5148\u6253\u5f00\u6587\u4ef6\u5e76\u521b\u5efa\u5199\u5165\u5bf9\u8c61\uff0c\u901a\u8fc7writerow()<\/code>\u6216writerows()<\/code>\u65b9\u6cd5\u9010\u884c\u5199\u5165\u6570\u636e\u3002\u800c\u4f7f\u7528pandas<\/code>\u65f6\uff0c\u53ef\u4ee5\u76f4\u63a5\u5c06DataFrame\u4fdd\u5b58\u4e3aCSV\u6587\u4ef6\uff0c\u8fd9\u6837\u4e0d\u4ec5\u7b80\u5355\uff0c\u800c\u4e14\u53ef\u4ee5\u8f7b\u677e\u5904\u7406\u590d\u6742\u6570\u636e\u7ed3\u6784\u3002<\/p>\n
\u5982\u4f55\u5904\u7406CSV\u6587\u4ef6\u4e2d\u7684\u7f3a\u5931\u503c\uff1f<\/strong>
\u5904\u7406CSV\u6587\u4ef6\u4e2d\u7684\u7f3a\u5931\u503c\u53ef\u4ee5\u4f7f\u7528pandas<\/code>\u5e93\u4e2d\u7684fillna()<\/code>\u3001dropna()<\/code>\u7b49\u65b9\u6cd5\u3002fillna()<\/code>\u53ef\u4ee5\u7528\u7279\u5b9a\u503c\u6216\u65b9\u6cd5\u586b\u5145\u7f3a\u5931\u6570\u636e\uff0c\u800cdropna()<\/code>\u5219\u53ef\u4ee5\u5220\u9664\u5305\u542b\u7f3a\u5931\u503c\u7684\u884c\u6216\u5217\u3002\u5728\u6570\u636e\u5206\u6790\u8fc7\u7a0b\u4e2d\uff0c\u5408\u7406\u5904\u7406\u7f3a\u5931\u503c\u5bf9\u4e8e\u786e\u4fdd\u7ed3\u679c\u7684\u51c6\u786e\u6027\u81f3\u5173\u91cd\u8981\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"Python\u8bed\u8a00\u4e2d\u5229\u7528CSV\u4e3b\u8981\u901a\u8fc7csv\u6a21\u5757\u3001pandas\u5e93\u3001numpy\u5e93\u7b49\u65b9\u5f0f\u5b9e\u73b0\u3002\u5176\u4e2d\uff0ccsv\u6a21\u5757\u662fPy […]","protected":false},"author":3,"featured_media":1180670,"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\/1180642"}],"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=1180642"}],"version-history":[{"count":"1","href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1180642\/revisions"}],"predecessor-version":[{"id":1180673,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/posts\/1180642\/revisions\/1180673"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media\/1180670"}],"wp:attachment":[{"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/media?parent=1180642"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/categories?post=1180642"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/docs.pingcode.com\/wp-json\/wp\/v2\/tags?post=1180642"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}