Menu
×
   ❮     
HTML CSS JAVASCRIPT SQL PYTHON JAVA PHP HOW TO W3.CSS C C++ C# BOOTSTRAP REACT MYSQL JQUERY EXCEL XML DJANGO NUMPY PANDAS NODEJS R TYPESCRIPT ANGULAR GIT POSTGRESQL MONGODB ASP AI GO KOTLIN SASS VUE DSA GEN AI SCIPY AWS CYBERSECURITY DATA SCIENCE
     ❯   

Pandas DataFrame memory_usage() 方法

❮ DataFrame 参考


示例

返回每一列的内存使用情况

import pandas as pd

df = pd.read_csv('data.csv')

print(df.memory_usage())
自己尝试一下 »

定义和用法

The memory_usage() 方法返回一个 Series,其中包含每一列的内存使用情况。


语法

dataframe.memory_usage(index, deep)

参数

参数是 关键字参数

参数 描述
index True|False 可选。默认为 True。指定是否包含索引(及其内存使用情况)。
deep True|False 可选。默认为 False。指定是否进行深度计算内存使用情况。如果为 True,系统会查找实际的系统级内存消耗以进行内存使用情况的真实计算(代价是较高的计算机资源),而不是基于数据类型和行数的估计(成本较低)。

返回值

一个 Pandas Series,显示每一列的内存使用情况。


❮ DataFrame 参考

×

Contact Sales

If you want to use W3Schools services as an educational institution, team or enterprise, send us an e-mail:
[email protected]

Report Error

If you want to report an error, or if you want to make a suggestion, send us an e-mail:
[email protected]

W3Schools is optimized for learning and training. Examples might be simplified to improve reading and learning. Tutorials, references, and examples are constantly reviewed to avoid errors, but we cannot warrant full correctness of all content. While using W3Schools, you agree to have read and accepted our terms of use, cookie and privacy policy.

Copyright 1999-2024 by Refsnes Data. All Rights Reserved. W3Schools is Powered by W3.CSS.