博客
关于我
python里面读取文件和保存文件的路径
阅读量:671 次
发布时间:2019-03-16

本文共 1231 字,大约阅读时间需要 4 分钟。

Modifying the original content to better meet technical writing standards while removing the requested elements (such as addresses, img tags, etc.):


Pandas and NumPy require absolute paths when reading or saving files, and there are specific format requirements. Below is an example:

data = pd.read_csv('E:/a/b/data.csv')np.savetxt('E:/a/b/data.csv', data, delimiter=',')

Why Absolute Paths?

  • Absolute paths ensure that the same file can be accessed from any working directory, avoiding confusion or file not found errors.
  • They are particularly useful for cross-platform compatibility, as they do not rely on the current working directory’s relative structure.

File path formatting tips:

  • Use double backslashes (\) in Windows environments, while Unix-based systems use single backslashes (\) or forward slashes (\/).
  • Ensure the file name and directory structure are explicitly defined.

Example usage:

import pandas as pdimport numpy as np# Load datadata = pd.read_csv(r'C:\path\to\file\filename.txt')# Save datanp.savetxt(r'C:\path\to\file\filename.txt', data, delimiter=',')

This formatting ensures consistent file access regardless of the operational environment. Always verify file paths before running scripts to prevent errors.

转载地址:http://qqjqz.baihongyu.com/

你可能感兴趣的文章
MySQL 死锁了,怎么办?
查看>>
MySQL 深度分页性能急剧下降,该如何优化?
查看>>
MySQL 深度分页性能急剧下降,该如何优化?
查看>>
MySQL 添加列,修改列,删除列
查看>>
mysql 添加索引
查看>>
MySQL 添加索引,删除索引及其用法
查看>>
mysql 状态检查,备份,修复
查看>>
MySQL 用 limit 为什么会影响性能?
查看>>
MySQL 用 limit 为什么会影响性能?有什么优化方案?
查看>>
MySQL 用户权限管理:授权、撤销、密码更新和用户删除(图文解析)
查看>>
mysql 用户管理和权限设置
查看>>
MySQL 的 varchar 水真的太深了!
查看>>
mysql 的GROUP_CONCAT函数的使用(group_by 如何显示分组之前的数据)
查看>>
MySQL 的instr函数
查看>>
MySQL 的mysql_secure_installation安全脚本执行过程介绍
查看>>
MySQL 的Rename Table语句
查看>>
MySQL 的全局锁、表锁和行锁
查看>>
mysql 的存储引擎介绍
查看>>
MySQL 的存储引擎有哪些?为什么常用InnoDB?
查看>>
Mysql 知识回顾总结-索引
查看>>