<p>打开Conda提示符，使用<code>pip install mca</code>代替<code>conda install mca</code>
它很好用。它将安装在您的Conda虚拟环境中。
以下是康达提示：</p>
<pre><code>Collecting mca
Downloading https://files.pythonhosted.org/packages/7d/2a/6e07182d578514f25877872c2b320f5d6d9eee81d9d397d575c9dc2ae827/mca-1.0.3.tar.gz
Requirement already satisfied: scipy in f:\anaconda\lib\site-packages (from mca) (1.3.1)
Requirement already satisfied: numpy in f:\anaconda\lib\site-packages (from mca) (1.16.5)
Requirement already satisfied: pandas in f:\anaconda\lib\site-packages (from mca) (0.25.1)
Requirement already satisfied: python-dateutil>=2.6.1 in f:\anaconda\lib\site-packages (from pandas->mca) (2.8.0)
Requirement already satisfied: pytz>=2017.2 in f:\anaconda\lib\site-packages (from pandas->mca) (2019.3)
Requirement already satisfied: six>=1.5 in f:\anaconda\lib\site-packages (from python-dateutil>=2.6.1->pandas->mca) (1.12.0)
Building wheels for collected packages: mca
Building wheel for mca (setup.py) ... done
Created wheel for mca: filename=mca-1.0.3-py2.py3-none-any.whl size=6007 sha256=1259854a6e8271d85828ea0c3a5732ab84319b99f2e12a60e53a94db33c5f2ea
Stored in directory: C:\Users\Krishna\AppData\Local\pip\Cache\wheels\01\fb\ff\19d72d65c8bb01d4af40c9c2ca20fd267d1969b3b5f8dd60d6
Successfully built mca
Installing collected packages: mca
Successfully installed mca-1.0.3
</code></pre>
