我目前正在尝试将我在 Conda 中的 statsmodels 包更新为开发人员版本 statsmodels v0.11.0dev0。
由于我对 Python 比较陌生，因此我很难理解有关如何更新到开发人员版本的不同线程。
在https://www.statsmodels.org/dev/install.html 上给出了有关如何安装开发者版本的简短提示，但我无法遵循。
我已经尝试过 pip install -e 和 python setup.py develop。
为了具体更新statsmodel包，我需要在前面放什么？一个循序渐进的例子会非常有帮助并受到高度赞赏。
【问题讨论】：
标签： regression version statsmodels rolling-computation
正常安装
（此处不适用于回答问题）
https://www.statsmodels.org/dev/install.html 中的文档清楚地指出了两种安装 statsmodels 的方法：
对于第一个选项，您需要 install Anaconda 才能运行 conda install -c conda-forge statsmodels。
另一方面，git is required。然后克隆 github 存储库，以便能够运行 pip install git+https://github.com/statsmodels/statsmodels 和 python setup.py install。
开发者版本
运行以下步骤：
1) git clone git://github.com/statsmodels/statsmodels.git
2) pip install cython
3) pip install -r requirements.txt
4) python setup.py 开发
这会导致正确编译 c 文件：
Compiling statsmodels/tsa/statespace/_initialization.pyx because it changed.
Compiling statsmodels/tsa/statespace/_representation.pyx because it changed.
Compiling statsmodels/tsa/statespace/_kalman_filter.pyx because it changed.
Compiling statsmodels/tsa/statespace/_filters/_inversions.pyx because it changed.
Compiling statsmodels/tsa/statespace/_filters/_univariate.pyx because it changed.
Compiling statsmodels/tsa/statespace/_filters/_univariate_diffuse.pyx because it changed.
Compiling statsmodels/tsa/statespace/_kalman_smoother.pyx because it changed.
Compiling statsmodels/tsa/statespace/_smoothers/_alternative.pyx because it changed.
Compiling statsmodels/tsa/statespace/_smoothers/_classical.pyx because it changed.
Compiling statsmodels/tsa/statespace/_smoothers/_conventional.pyx because it changed.
Compiling statsmodels/tsa/statespace/_smoothers/_univariate.pyx because it changed.
Compiling statsmodels/tsa/statespace/_smoothers/_univariate_diffuse.pyx because it changed.
Compiling statsmodels/tsa/statespace/_simulation_smoother.pyx because it changed.
Compiling statsmodels/tsa/statespace/_tools.pyx because it changed.
[ 1/14] Cythonizing statsmodels/tsa/statespace/_filters/_inversions.pyx
[ 2/14] Cythonizing statsmodels/tsa/statespace/_filters/_univariate.pyx
[ 3/14] Cythonizing statsmodels/tsa/statespace/_filters/_univariate_diffuse.pyx
[ 4/14] Cythonizing statsmodels/tsa/statespace/_initialization.pyx
[ 5/14] Cythonizing statsmodels/tsa/statespace/_kalman_filter.pyx
[ 6/14] Cythonizing statsmodels/tsa/statespace/_kalman_smoother.pyx
[ 7/14] Cythonizing statsmodels/tsa/statespace/_representation.pyx
[ 8/14] Cythonizing statsmodels/tsa/statespace/_simulation_smoother.pyx
[ 9/14] Cythonizing statsmodels/tsa/statespace/_smoothers/_alternative.pyx
[10/14] Cythonizing statsmodels/tsa/statespace/_smoothers/_classical.pyx
[11/14] Cythonizing statsmodels/tsa/statespace/_smoothers/_conventional.pyx
[12/14] Cythonizing statsmodels/tsa/statespace/_smoothers/_univariate.pyx
[13/14] Cythonizing statsmodels/tsa/statespace/_smoothers/_univariate_diffuse.pyx
warning: statsmodels/tsa/statespace/_smoothers/_univariate_diffuse.pyx:555:14: Unreachable code
warning: statsmodels/tsa/statespace/_smoothers/_univariate_diffuse.pyx:1130:14: Unreachable code
warning: statsmodels/tsa/statespace/_smoothers/_univariate_diffuse.pyx:1705:14: Unreachable code
warning: statsmodels/tsa/statespace/_smoothers/_univariate_diffuse.pyx:2280:14: Unreachable code
[14/14] Cythonizing statsmodels/tsa/statespace/_tools.pyx
[some compiler warnings are shown here]
5 warnings generated.
我已经在 Mac 上对此进行了测试，并且还通过 Xcode 安装了 gcc，但不确定这是否在这里起作用。
【讨论】：