我正在尝试使用conda-forge安装ggplot。但是它显示出某些错误。详细错误消息如下。
(base) C:\Users\ASUS>conda install -c conda-forge ggplot=0.11.5
Collecting package metadata (current_repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: failed with repodata from current_repodata.json, will retry with next repodata source.
Collecting package metadata (repodata.json): done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: -
Found conflicts! Looking for incompatible packages.
This can take several minutes. Press CTRL-C to abort.
failed
UnsatisfiableError: The following specifications were found
to be incompatible with the existing python installation in your environment:
Specifications:
- ggplot=0.11.5 -> python[version='2.7.*|3.5.*|3.6.*|3.4.*']
Your python: python=3.7
If python is on the left-most side of the chain, that's the version you've asked for.
When python appears to the right, that indicates that the thing on the left is somehow
not available for the python version you are constrained to. Note that conda will not
change your python version to a different minor version unless you explicitly specify
that.
The following specifications were found to be incompatible with your CUDA driver:
- feature:/win-64::__cuda==11.0=0
- feature:|@/win-64::__cuda==11.0=0
Your installed CUDA driver is: 11.0
请帮助我解决任何问题。
答案 0 :(得分:1)
我找到了ggplot
的替代方案,其中包含所有ggplot
函数。是plotnine
。
要安装plotnine
# Using pip
$ pip install plotnine # 1. should be sufficient for most
$ pip install 'plotnine[all]' # 2. includes extra/optional packages
# Or using conda
$ conda install -c conda-forge plotnine
有关使用指南,请访问https://plotnine.readthedocs.io/en/stable/index.html
答案 1 :(得分:0)
yhat的ggplot python端口stopped in 2016的开发。似乎它仅与pandas<0.22
兼容,后者早于python 3.7,因此不适用于conda-forge上的python-3.7。
使用它的最简单方法是使用python3.6解释器将其安装到环境中。