Matplotlib要求与virtualenv中的pip安装 [英] Matplotlib requirements with pip install in virtualenv
问题描述
我有一个required.txt文件,如下所示:
I have a requirements.txt file like this:
numpy
matplotlib
当我在新的virtualvenv中尝试pip install -r requirements.txt
时,我得到了:
When I try pip install -r requirements.txt
inside a new virtualvenv, I get this:
REQUIRED DEPENDENCIES
numpy: no
* You must install numpy 1.1 or later to build
* matplotlib.
如果我先安装numpy,然后再安装matplotlib,那么它将起作用.但是我想继续使用pip install -r requirements.txt
.有可能吗?
If I install numpy first and matplotlib after, it works. However I'd like to keep using pip install -r requirements.txt
. Is it possible?
推荐答案
Matplotlib和pip看起来不太好玩.因此,我认为在这种情况下是不可能的.
Matplotlib and pip don't seem to play together very well. So I don't think it is possible in this case.
pip
首先下载需求文件中列出的软件包,然后运行setup.py
,但实际上并没有安装(我不太确定pip
的内部结构).以这种方式准备所有软件包后,将安装它们.
pip
first downloads a package listed in your requirements file and than runs setup.py
, but it doesn't really install it (I'm not quite sure about the internals of pip
). After all packages are prepared in this way, they are installed.
问题是matplotlib
检查setup.py
中是否安装了numpy
(检查本身是在
The problem is, that matplotlib
checks if numpy
is installed in its setup.py
(the check itself is defined in setupext.py
). So at the moment the check is performed, numpy
is not installed and the matplotlib setup.py
exits with the error message you received (This may not be a bug, as it may require numpy to build).
这曾经在pip issue#24 和
This was once addressed in pip issue #24 and issue #25. The issues are closed but give some more details.
到目前为止,我要做的是先安装numpy,然后再安装需求文件中的所有软件包.
What I am doing up to now is to first install numpy and than install all packages from my requirements file.
有一个新的未解决问题 pip问题.
There is a new open pip issue which deals with this problem.
此问题已作为WONTFIX关闭
The issue is closed as WONTFIX
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