Python 很多不一致的包

Python 很多不一致的包,python,macos,package,conda,Python,Macos,Package,Conda,当我尝试安装新软件包或更新现有软件包时,我收到一条消息,即以下软件包导致不一致: - conda-forge/osx-64::pywavelets==1.0.3=py37h1e5eb4f_1 - conda-forge/noarch::odo==0.5.1=py_1 - conda-forge/osx-64::opentsne==0.3.8=py37heacc8b8_1 - conda-forge/osx-64::pyproj==1.9.6=py37h01d97ff_1002

当我尝试安装新软件包或更新现有软件包时,我收到一条消息,即以下软件包导致不一致:

  - conda-forge/osx-64::pywavelets==1.0.3=py37h1e5eb4f_1
  - conda-forge/noarch::odo==0.5.1=py_1
  - conda-forge/osx-64::opentsne==0.3.8=py37heacc8b8_1
  - conda-forge/osx-64::pyproj==1.9.6=py37h01d97ff_1002
  - conda-forge/noarch::xarray==0.12.3=py_0
  - conda-forge/noarch::cufflinks-py==0.13.0=py_0
  - conda-forge/osx-64::astropy==3.2.1=py37h01d97ff_0
  - conda-forge/osx-64::orange3==3.22.0=py37h86efe34_0
  - defaults/osx-64::scikit-image==0.15.0=py37h0a44026_0
  - conda-forge/osx-64::scipy==1.3.0=py37hab3da7d_1
  - conda-forge/osx-64::scikit-learn==0.21.2=py37h2a6a0b8_0
  - conda-forge/osx-64::imageio==2.5.0=py37_0
  - conda-forge/noarch::keras-preprocessing==1.0.9=py_1
  - conda-forge/noarch::msgpack-numpy==0.4.4.3=py_0
  - conda-forge/osx-64::tensorflow-estimator==1.13.0=py37h24bf2e0_0
  - conda-forge/noarch::vaex-hdf5==0.5.2=py_0
  - conda-forge/osx-64::quandl==3.4.6=py37_0
  - conda-forge/osx-64::pyarrow==0.14.1=py37he1943e6_0
  - conda-forge/osx-64::tensorflow==1.13.1=py37_1
  - conda-forge/noarch::datashape==0.5.4=py_1
  - conda-forge/osx-64::matplotlib-base==3.1.0=py37h3a684a6_1
  - conda-forge/osx-64::cftime==1.0.3.4=py37h1e5eb4f_1001
  - conda-forge/osx-64::matplotlib==3.1.0=py37_1
  - conda-forge/noarch::pytest-arraydiff==0.3=py_0
  - conda-forge/osx-64::pygpu==0.7.6=py37h917ab60_1000
  - conda-forge/noarch::arviz==0.4.1=py_0
  - conda-forge/osx-64::numexpr==2.6.9=py37h1702cab_1000
  - conda-forge/osx-64::h5py==2.9.0=nompi_py37h3d62f72_1103
  - conda-forge/osx-64::pytables==3.5.2=py37hc2baff1_0
  - conda-forge/noarch::pyqtgraph==0.10.0=py_5
  - conda-forge/noarch::python-cufflinks==0.14.5=py_0
  - conda-forge/osx-64::bottleneck==1.2.1=py37h917ab60_1001
  - conda-forge/osx-64::basemap==1.2.0=py37hd103db2_4
  - conda-forge/osx-64::pandas==0.25.0=py37h86efe34_0
  - conda-forge/noarch::vaex-arrow==0.3.5=py_0
  - conda-forge/noarch::vaex-viz==0.3.4=py_0
  - conda-forge/noarch::dask==2.2.0=py_0
  - conda-forge/noarch::sparse==0.7.0=py_0
  - conda-forge/osx-64::tensorboard==1.13.1=py37_0
  - conda-forge/noarch::pynndescent==0.3.0=py_0
  - defaults/osx-64::numpy==1.16.4=py37h926163e_0
  - conda-forge/osx-64::hyperspy==1.4.1=py37h470a237_0
  - defaults/osx-64::spacy==2.0.12=py37h6440ff4_0
  - conda-forge/noarch::pytest-astropy==0.5.0=py_0
  - defaults/osx-64::seaborn==0.9.0=py37_0
  - conda-forge/osx-64::arrow-cpp==0.14.1=py37h43d7656_0
  - conda-forge/osx-64::statsmodels==0.10.1=py37heacc8b8_0
  - conda-forge/noarch::parquet-cpp==1.5.1=2
  - conda-forge/osx-64::keras==2.2.4=py37_1
  - conda-forge/noarch::patsy==0.5.1=py_0
  - conda-forge/osx-64::netcdf4==1.5.1.2=py37h58b02fa_0
  - conda-forge/noarch::keras-applications==1.0.7=py_1
  - conda-forge/osx-64::theano==1.0.4=py37h0a44026_1000
  - conda-forge/noarch::vaex-server==0.2.1=py_0
  - conda-forge/osx-64::vaex-astro==0.5.0=py37_0
  - conda-forge/noarch::vaex==2.0.0=py_0
  - defaults/osx-64::bokeh==1.2.0=py37_0
  - conda-forge/osx-64::fasttsne==0.2.16=py37hf8a1672_1
  - conda-forge/noarch::python-louvain==0.13=py_0
  - defaults/osx-64::blaze==0.11.3=py37_0
  - conda-forge/osx-64::vaex-core==0.9.2=py37h86efe34_0
  - conda-forge/noarch::pymc3==3.7=py_0
  - conda-forge/osx-64::numba==0.45.1=py37h86efe34_0
  - conda-forge/osx-64::thinc==6.10.3=py37h1702cab_1003
我读了其他关于这个主题的帖子,其中建议一个接一个地更新软件包。我尝试了一些,但没有工作,有很多他们要做。另一个建议是
conda clean--all
,然后执行
conda update--all
。当我试着做第二部分时,我的计算机在执行事务时停了好几天。实际上,在我取消之前,它在那个阶段旋转了几天


提前感谢您的帮助。

根据评论,要在VirtualNV中安装Numpy,请执行以下操作:

$ pip install pipenv
$ pipenv install jupyter
$ pipenv install numpy
$ pipenv run python3
...
>>> import numpy as np
$ pipenv run jupyter notebook

这使您可以在整个系统中安装多个numpy版本。

也许可以研究使用或间接通过?您需要提供更多详细信息。我没有那么高级。你想安装/更新什么?我在尝试安装或更新时就知道了。最新的一个是一个Numpy更新。我得到了不一致性,然后它停止了(a/永远旋转)。更具体地说,我会尝试更新来自默认频道的内容,如果可能的话,尝试将它们切换到conda forge。另外,请确保您有
conda-config——将频道的优先级设置为true
,并且
conda-forge
中具有优先级。一般来说,使用Conda时,您最好为每个项目创建新环境,避免在基本环境中安装东西。如果我使用像Jupyter这样的笔记本电脑,这会起作用吗?更新的答案显示了如何运行
Jupyter notebook