Python：升级 Pandas 保留旧版本

Question

我正在尝试升级到新版本的熊猫。它说它安装成功但每当我使用pd.show_versions() 它仍然提供旧版本的

pd.show_versions() 
commit: None
python: 3.5.2.final.0 
pandas: 0.23.0 

这里是安装成功：

[env] C:\Users\me\PycharmProjects\tmp>pip install --upgrade pandas --user
Requirement already up-to-date: pandas in c:\users\me\lib\site-packages (0.24.2)
Requirement already satisfied, skipping upgrade: numpy>=1.12.0 in c:\users\me\lib\site-packages (from pandas) (1.15.2)
Requirement already satisfied, skipping upgrade: pytz>=2011k in c:\users\me\lib\site-packages (from pandas) (2016.6.1)
Requirement already satisfied, skipping upgrade: python-dateutil>=2.5.0 in c:\users\me\lib\site-packages (from pandas) (2.5.3)
Requirement already satisfied, skipping upgrade: six>=1.5 in c:\users\me\lib\site-packages (from python-dateutil>=2.5.0->pandas) (1.10.0) 

Answer 1

由于您处于虚拟环境中，因此您必须在没有 --user 选项的情况下使用 pip install 才能在虚拟环境中安装 pandas

所以

pip install --upgrade pandas