pip install pandas失败详细分析常见报错及解决方法揭秘！-HCRM博客

问题分析

在Python开发过程中,使用pip安装pandas库是常见操作，有时候会遇到“pip install pandas报错”的情况，本文将针对这一问题进行分析，并提供解决方案。

pip install pandas失败详细分析常见报错及解决方法揭秘！-图1

常见报错原因

网络问题

网络不稳定或网络连接中断可能导致pip安装pandas时出现报错,可以尝试更换网络环境或使用代理进行安装。

Python版本不兼容

pandas库支持多种Python版本,但某些版本可能存在兼容性问题，若使用不兼容的Python版本安装pandas，则会出现报错。

pip版本过低

pip是Python的包管理工具,过低版本的pip可能无法正确安装pandas，需要升级pip至最新版本。

系统环境问题

pip install pandas失败详细分析常见报错及解决方法揭秘！-图2

操作系统环境配置不正确或存在冲突也可能导致pip安装pandas时出现报错。

解决方案

检查网络环境

确保网络连接稳定,如果使用代理，请检查代理设置是否正确。

检查Python版本

pandas支持的Python版本如下：

Python版本	pandas版本
7	24.0
5	24.0
6	24.0
7	24.0
8	0.0
9	1.3
10	3.0

请根据您的Python版本选择合适的pandas版本进行安装。

升级pip

pip install pandas失败详细分析常见报错及解决方法揭秘！-图3

在命令行中执行以下命令升级pip：

pip install --upgrade pip

检查系统环境

确保操作系统环境配置正确,无冲突，在Windows系统中，请检查pip是否已添加到系统环境变量中。

实例分析

以下是一个实例,展示如何解决pip install pandas报错：


C:\Users\example>pip install pandas
Collecting pandas
  Downloading pandas-1.2.3.tar.gz (4.1 MB)
    100% |████████████████████████████████| 4.1 MB 2.6 MB/s 
Collecting pytz>=2011k (from pandas)
  Downloading pytz-2021.1-py2.py3-none-any.whl (1.1 MB)
    100% |████████████████████████████████| 1.1 MB 3.5 MB/s 
Collecting numpy>=1.15.1 (from pandas)
  Downloading numpy-1.19.5-cp39-cp39-win_amd64.whl (11 MB)
    100% |████████████████████████████████| 11 MB 2.5 MB/s 
Collecting python-dateutil>=2.7.0 (from pandas)
  Downloading python-dateutil-2.8.1-py2.py3-none-any.whl (246 kB)
    100% |████████████████████████████████| 246 kB 4.2 MB/s 
Collecting pyparsing>=2.0.2 (from pandas)
  Downloading pyparsing-2.4.7-py2.py3-none-any.whl (269 kB)
    100% |████████████████████████████████| 269 kB 4.6 MB/s 
Collecting pyreadline>=2.0 (from pandas)
  Downloading pyreadline-2.0.1-cp39-cp39-win_amd64.whl (1.0 MB)
    100% |████████████████████████████████| 1.0 MB 2.3 MB/s 
Collecting pytz>=2011k (from pandas)
  Downloading pytz-2021.1-py2.py3-none-any.whl (1.1 MB)
    100% |████████████████████████████████| 1.1 MB 3.5 MB/s 
Collecting openpyxl>=2.4.0 (from pandas)
  Downloading openpyxl-3.0.6-py3-none-any.whl (1.3 MB)
    100% |████████████████████████████████| 1.3 MB 3.5 MB/s 
Collecting cycler>=0.10 (from pandas)
  Downloading cycler-0.10.0-py2.py3-none-any.whl (8.5 kB)
    100% |████████████████████████████████| 8.5 kB 3.4 MB/s 
Collecting decorator>=4.0.10 (from pandas)
  Downloading decorator-4.4.2-py2.py3-none-any.whl (9.3 kB)
    100% |████████████████████████████████| 9.3 kB 3.5 MB/s 
Collecting matplotlib>=2.0.0 (from pandas)
  Downloading matplotlib-3.3.3-cp39-cp39-win_amd64.whl (12 MB)
    100% |████████████████████████████████| 12 MB 2.5 MB/s 
Collecting dateutil<2.8,>=2.7.0 (from pandas)
  Downloading dateutil-2.8.1-py2.py3-none-any.whl (246 kB)
    100% |████████████████████████████████| 246 kB 4.2 MB/s 
Collecting pytz>=2011k (from pandas)
  Downloading pytz-2021.1-py2.py3-none-any.whl (1.1 MB)
    100% |████████████████████████████████| 1.1 MB 3.5 MB/s 
Collecting python-dateutil>=2.7.0 (from pandas)
  Downloading python-dateutil-2.8.1-py2.py3-none-any.whl (246 kB)
    100% |████████████████████████████████| 246 kB 4.2 MB/s 
Collecting pytz>=2011k (from pandas)
  Downloading pytz-2021.1-py2.py3-none-any.whl (1.1 MB)
    100% |████████████████████████████████| 1.1 MB 3.5 MB/s 
Collecting openpyxl>=2.4.0 (from pandas)
  Downloading openpyxl-3.0.6-py3-none-any.whl (1.3 MB)
    100% |████████████████████████████████| 1.3 MB 3.5 MB/s 
Collecting cycler>=0.10 (from pandas)
  Downloading cycler-0.10.0-py2.py3-none-any.whl (8.5 kB)
    100% |████████████████████████████████| 8.5 kB 3.4 MB/s 
Collecting decorator>=4.0.10 (from pandas)
  Downloading decorator-4.4.2-py2.py3-none-any.whl (9.3 kB)
    100% |████████████████████████████████| 9.3 kB 3.5 MB/s 
Collecting matplotlib>=2.0.0 (from pandas)
  Downloading matplotlib-3.3.3-cp39-cp39-win_amd64.whl (12 MB)
    100% |████████████████████████████████| 12 MB 2.5 MB/s 
Collecting dateutil<2.8,>=2.7.0 (from pandas)
  Downloading dateutil-2.8.1-py2.py3-none-any.whl (246 kB)
    100% |████████████████████████████████| 246 kB 4.2 MB/s 
Collecting pytz>=2011k (from pandas)
  Downloading pytz-2021.1-py2.py3-none-any.whl (1.1 MB)
    100% |████████████████████████████████| 1.1 MB 3.5 MB/s 
Collecting python-dateutil>=2.7.0 (from pandas)
  Downloading python-dateutil-2.8.1-py2.py3-none-any.whl (246 kB)
    100% |████████████████████████████████| 246 kB 4.2 MB/s 
Collecting pytz>=2011k (from pandas)
  Downloading pytz-2021.1-py2.py3-none-any.whl (1.1 MB)
    100% |████████████████████████████████| 1.1 MB 3.5 MB/s 
Collecting openpyxl>=2.4.0 (from pandas)
  Downloading openpyxl-3.0.6-py3-none-any.whl (1.3 MB)
    100% |████████████████████████████████| 1.3 MB 3.5 MB/s 
Collecting cycler>=0.10 (from pandas)
  Downloading cycler-0.10.0-py2.py3-none-any.whl (8.5 kB)
    100% |████████████████████████████████| 8.5 kB 3.4 MB/s 
Collecting decorator>=4.0.10 (from pandas)
  Downloading decorator-4.4.2-py2.py3-none-any.whl (9.3 kB)
    100% |████████████████████████████████| 9.3 kB 3.5 MB/s 
Collecting matplotlib>=2.0.0 (from pandas)
  Downloading matplotlib-3.3.3-cp39-cp39-win_amd64.whl (12 MB)
    100% |████████████████████████████████| 12 MB 2.5 MB/s 
Collecting dateutil<2.8,>=2.7.0 (from pandas)
  Downloading dateutil-2.8.1-py2.py3-none-any.whl (246 kB)
    100% |████████████████████████████████| 246 kB 4.2 MB/s 
Collecting pytz>=2011k (from pandas)
  Downloading pytz-2021.1-py2.py3-none-any.whl (1.1 MB)
    100% |████████████████████████████████| 1.1 MB 3.5 MB/s 
Collecting python-dateutil>=2.7.0 (from pandas)
  Downloading python-dateutil-2.8.1-py2.py3-none-any.whl (246 kB)
    100% |████████████████████████████████| 246 kB 4.2 MB/s 
Collecting pytz>=2011k (from pandas)
  Downloading pytz-2021.1-py2.py3-none-any.whl (1.1 MB)
    100% |████████████████████████████████| 1.1 MB 3.5 MB/s 
Collecting openpyxl>=2.4.0 (from pandas)
  Downloading openpyxl-3.0.6-py3-none-any.whl (1.3 MB)
    100% |████████████████████████████████| 1.3 MB 3.5 MB/s 
Collecting cycler>=0.10 (from pandas)
  Downloading cycler-0.10.0-py2.py3-none-any.whl (8.5 kB)
    100% |████████████████████████████████| 8.5 kB 3.4 MB/s 
Collecting decorator>=4.0.10 (from pandas)
  Downloading decorator-4.4.2-py2.py3-none-any.whl (9.3 kB)
    100% |████████████████████████████████| 9.3 kB 3.5 MB/s 
Collecting matplotlib>=2.0.0 (from pandas)
  Downloading matplotlib-3.3.3-cp39-cp39-win_amd64.whl (12 MB)
    100% |████████████████████████████████| 12 MB 2.5 MB/s 
Collecting dateutil<2.8,>=2.7.0 (from pandas)
  Downloading dateutil-2.8.1-py2.py3-none-any.whl (246 kB)
    100% |████████████████████████████████| 246 kB 4.2 MB/s 
Collecting pytz>=2011k (from pandas)
  Downloading pytz-2021.1-py2.py3-none-any.whl (1.1 MB)
    100% |████████████████████████████████| 1.1 MB 3.5 MB/s 
Collecting python-dateutil>=2.7.0 (from pandas)
  Downloading python-dateutil-2.8.1-py2.py3-none-any.whl (246 kB)
    100% |████████████████████████████████| 246 kB 4.2 MB/s 
Collecting pytz>=2011k (from pandas)
  Downloading pytz-2021.1-py2.py3-none-any.whl (1.1 MB)
    100% |████████████████████████████████| 1.1 MB 3.5 MB/s 
Collecting openpyxl>=2.4.0 (from pandas)
  Downloading openpyxl-3.0.6-py3-none-any.whl (1.3 MB)
    100% |████████████████████████████████| 1.3 MB 3.5 MB/s 
Collecting cycler>=0.10 (from pandas)
  Downloading cycler-0.10.0-py2.py3-none-any.whl (8.5 kB)
    100% |████████████████████████████████| 8.5 kB 3.4 MB/s 
Collecting decorator>=4.0.10 (from pandas)
  Downloading decorator-4.4.2-py2.py3-none-any.whl (9.3 kB)
    100% |████████████████████████████████| 9.3 kB 3.5 MB/s 
Collecting matplotlib>=2.0.0 (from pandas)
  Downloading matplotlib-3.3.3-cp39-cp39-win_amd64.whl (12 MB)
    100% |████████████████████████████████| 12 MB 2.5 MB/s 
Collecting dateutil<2.8,>=2.7.0 (from pandas)
  Downloading dateutil-2.8.1-py2.py3-none-any.whl (246 kB)
    100% |████████████████████████████████| 246 kB 4.2 MB/s 
Collecting pytz>=2011k (from pandas)
  Downloading pytz-2021.1-py2.py3-none-any.whl (1.1 MB)
    100% |████████████████████████████████| 1.1 MB 3.5 MB/s 
Collecting python-dateutil>=2.7.0 (from pandas)
  Downloading python-dateutil-2.8.1-py2.py3-none-any.whl (246 kB)
    100% |████████████████████████████████| 246 kB 4.2 MB/s 
Collecting pytz>=2011k (from pandas)
  Downloading pytz-2021.1-py2.py3-none-any.whl (1.1 MB)
    100% |████████████████████████████████| 1.1 MB 3.5 MB/s 
Collecting openpyxl>=2.4.0 (from pandas)
  Downloading openpyxl-3.0.6-py3-none-any.whl (1.3 MB)
    100% |████████████████████████████████| 1.3 MB 3.5 MB/s 
Collecting cycler>=0.10 (from pandas)
  Downloading cycler-0.10.0-py2.py3-none-any.whl (8.5 kB)
    100% |████████████████████████████████| 8.5 kB 3.4 MB/s 
Collecting decorator>=4.0.10 (from pandas)
  Downloading decorator-4.4.2-py2.py3-none-any.whl (9.3 kB)
    100% |████████████████████████████████| 9.3 kB 3.5 MB/s 
Collecting matplotlib>=2.0.0 (from pandas)
  Downloading matplotlib-3.3.3-cp39-cp39-win_amd64.whl (12 MB)
    100% |████████████████████████████████| 12 MB 2.5 MB/s 
Collecting dateutil<2.8,>=2.7.0 (from pandas)
  Downloading dateutil-2.8.1-py2.py3-none-any.whl (246 kB)
    100% |████████████████████████████████| 246 kB 4.2 MB/s 
Collecting pytz>=2011k (from pandas)
  Downloading pytz-2021.1-py2.py3-none-any.whl (1.1 MB)
    100% |████████████████████████████████| 1.1 MB 3.5 MB/s 
Collecting python-dateutil>=2.7.0 (from pandas)
  Downloading python-dateutil-2.8.1-py2.py3-none-any.whl (246 kB)
    100% |████████████████████████████████| 246 kB 4.2 MB/s 
Collecting pytz>=2011k (from pandas)
  Downloading pytz-2021.1-py2.py3-none-any.whl (1.1 MB)
    100% |████████████████████████████████| 1.1 MB 3.5 MB/s 
Collecting openpyxl>=2.4.0 (from pandas)
  Downloading openpyxl-3.0.6-py3-none-any.whl (1.3 MB)
    100% |████████████████████████████████| 1.3 MB 3.5 MB/s 
Collecting cycler>=0.10 (from pandas)
  Downloading cycler-0.10.0