2021-04-14 阅读量: 2484
pip install --user fancyimpute -i https://pypi.douban.com/simple
D:\ProgramData\Anaconda3;D:\ProgramData\Anaconda3\Library\mingw-w64\bin;D:\ProgramData\Anaconda3\Library\usr\bin;D:\ProgramData\Anaconda3\Library\bin;D:\ProgramData\Anaconda3\Scripts;%SystemRoot%\system32;%SystemRoot%;%SystemRoot%\System32\Wbem;%SYSTEMROOT%\System32\WindowsPowerShell\v1.0\;C:\Program Files\Graphviz\bin;C:\Program Files\MySQL\MySQL Server 8.0\bin;D:\软件\swigwin-4.0.2\swigwin-4.0.2;C:\Program Files (x86)\Windows Kits\8.1\Windows Performance Toolkit\;D:\软件\ffmpeg-4.3.2-2021-02-27-essentials_build\ffmpeg-4.3.2-2021-02-27-essentials_build\bin;C:\Users\Administrator\AppDa
ta\Roaming\Python\Python38\Scripts;C:\Users\Administrator\AppData\Roaming\Python\Python38\site-packages
WARNING: The scripts estimator_ckpt_converter.exe, import_pb_to_tensorboard.ex
e, saved_model_cli.exe, tensorboard.exe, tf_upgrade_v2.exe, tflite_convert.exe,
toco.exe and toco_from_protos.exe are installed in 'C:\Users\Administrator\AppDa
ta\Roaming\Python\Python38\Scripts' which is not on PATH.
Consider adding this directory to PATH or, if you prefer to suppress this warn
ing, use --no-warn-script-location.
pip install --target=D:/ProgramData/Anaconda3/Lib/site-packages fancyimpute -i https://pypi.douban.com/simple
D:\ProgramData\Anaconda3\Lib\site-packages
pip install --target=D:/ProgramData/Anaconda3/Lib/site-packages --use-feature=2020-resolver pyqtwebengine==5.12 -i https://pypi.douban.com/simple
pip install --target=D:/ProgramData/Anaconda3/Lib/site-packages --use-feature=2020-resolver --upgrade pyqt5==5.12 -i https://pypi.douban.com/simple
#升级spyder
pip install --target=D:\ProgramData\Anaconda3\Lib\site-packages --use-feature=2020-resolver --upgrade spyder==4.2.4 -i https://pypi.douban.com/simple
ERROR: tensorflow 2.4.1 requires numpy~=1.19.2, but you'll have numpy 1.20.2 whi
ch is incompatible.
然后看下我们当前电脑中numpy的版本
C:\Users\Administrator>conda list numpy
# packages in environment at D:\ProgramData\Anaconda3:
#
# Name Version Build Channel
numpy 1.20.2 pypi_0 pypi
numpy-base 1.19.2 py38ha3acd2a_0
numpydoc 1.1.0 pyhd3eb1b0_1
然后看下我们当前电脑中tensorflow的版本
C:\Users\Administrator>conda list tensorflow
# packages in environment at D:\ProgramData\Anaconda3:
#
# Name Version Build Channel
tensorflow 2.4.1 pypi_0 pypi
tensorflow-estimator 2.4.0 pypi_0 pypi
#结果提示当前的tensorflow版本需要一个比较低版本的numpy
#这时我们要么升级tensorflow,要么降级numpy
#我们先升级tensorflow试一试
#升级 tensorflow
#先看下tensorflow都有哪些版本
pip install tensorflow==*
#看下我们电脑上装的tensorflow是哪个版本
conda list tensorflow
#选择一个tensorflow版本进行安装
pip install --target=D:\ProgramData\Anaconda3\Lib\site-packages --use-feature=2020-resolver --upgrade tensorflow==2.5.0rc1 -i https://pypi.douban.com/simple
结果提示如下错误，有可能是因为豆瓣镜像上没有这个版本。
ERROR: Could not find a version that satisfies the requirement tensorflow==2.5.0
ERROR: No matching distribution found for tensorflow==2.5.0
接下来我们降级numpy
pip install --target=D:\ProgramData\Anaconda3\Lib\site-packages --use-feature=2020-resolver --upgrade numpy==1.19.2 -i https://pypi.douban.com/simple
发现可以安装成功，看下现在电脑中的numpy变成多少了
C:\Users\Administrator>conda list numpy
# packages in environment at D:\ProgramData\Anaconda3:
#
# Name Version Build Channel
numpy 1.20.2 pypi_0 pypi
numpy-base 1.19.2 py38ha3acd2a_0
numpydoc 1.1.0 pyhd3eb1b0_1
为什么那个numpy还是1.20.2呢？如何处理
我们先卸载numpy,然后再安装numpy
在anaconda prompt里面执行下面的代码
pip uninstall numpy
pip install --use-feature=2020-resolver --upgrade numpy==1.19.2 -i https://pypi.douban.com/simple
发现没有错误提示，再看下numpy的版本
C:\Users\Administrator>conda list numpy
# packages in environment at D:\ProgramData\Anaconda3:
#
# Name Version Build Channel
numpy 1.19.5 pypi_0 pypi
numpy-base 1.19.2 py38ha3acd2a_0
numpydoc 1.1.0 pyhd3eb1b0_1
#接下来再安装指定版本的spyder
#根据前面的经验，我们先卸载已经安装的spyder
启动anaconda prompt 然后输入pip uninstall spyder
然后再输入 pip install spyder --use-feature=2020-resolver --upgrade spyder==4.2.4 -i https://pypi.douban.com/simple
然后也没有提示出错，spyder4.2.4 安装成功
然后安装fancyimpute
如果以前安装过fancyimpute，却没有安装成功，则需要先卸载一下
pip uninstall fancyimpute
然后再安装
pip install --use-feature=2020-resolver --upgrade fancyimpute -i https://pypi.douban.com/simple
没有错误提示，但是也没有说安装成功。
然后用import命令导入，却出现错误提示
---------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
RuntimeError: module compiled against API version 0xe but this version of numpy is 0xd
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
<ipython-input-1-3f82472c4160> in <module>
----> 1 import fancyimpute
D:\ProgramData\Anaconda3\lib\site-packages\fancyimpute\__init__.py in <module>
2
3 from .solver import Solver
----> 4 from .nuclear_norm_minimization import NuclearNormMinimization
5 from .matrix_factorization import MatrixFactorization
6 from .iterative_svd import IterativeSVD
D:\ProgramData\Anaconda3\lib\site-packages\fancyimpute\nuclear_norm_minimization.py in <module>
11 # limitations under the License.
12
---> 13 import cvxpy
应该是numpy版本太低，那我们还需要将numpy 版本走回到新版本，汗
先关闭你打开的spyder 还有jupyter notebook(后台)，否则执行下面的代码会有错误提示
先卸载numpy 然后再安装numpy
启动anaconda prompt
pip uninstall numpy
卸载过程没有出现错误提示。但是为什么卸载完成之后用conda list命令看的时候还是有numpy呢？
这应该是没有卸载干净，我们还需要手动将site-packages下面和numpy直接相关的三个文件夹删掉
numpy numpydoc numpydoc-1.1.0.dist-info
删掉之后再执行conda list还是能看到numpy库 pip list 看不到numpy库
打开一个jupyter book,然后在里面输入import numpy库，已经提示这个库不存在。
然后关闭jupyter notebook执行
pip install --use-feature=2020-resolver --upgrade numpy -i https://pypi.douban.com/simple
提示错误
Installing collected packages: numpy
ERROR: tensorflow 2.4.1 requires numpy~=1.19.2, but you'll have numpy 1.20.2 whi
ch is incompatible.
Successfully installed numpy-1.20.2
但是import numpy库已经可以正常导入了。site-packages文件夹下面多了两个文件夹 numpy和 numpy-1.20.2.dist-info
site-packages文件夹下面有两个和tensorflow相关的文件。分别是tensorflow和tensorflow-2.4.1.dist-info
我们换成高版本的tensorflow试试
先卸载pip uninstall tensorflow没有错误提示 然后删除site-packages文件夹下面的tensorflow和tensorflow-2.4.1.dist-info两个文件夹
执行pip list看不到tensorflow了
执行conda list 也看不到tensorflow了 numpy显示1.20.2的版本
然后我们安装tensorflow
pip install --use-feature=2020-resolver --upgrade tensorflow -i https://pypi.douban.com/simple
发现tensorflow的安装过程中为了能让tensorflow正确安装卸载了电脑上已经装好的numpy 1.20.2,重新安装了numpy-1.19.5，具体过程如下
Installing collected packages: numpy, tensorflow
Attempting uninstall: numpy
Found existing installation: numpy 1.20.2
Uninstalling numpy-1.20.2:
Successfully uninstalled numpy-1.20.2
Successfully installed numpy-1.19.5 tensorflow-2.4.1
没有错误提示成功安装了tensorflow-2.4.1
这时发现site-packages文件夹下面以前的numpy-1.20.2.dist-info变成了numpy-1.19.5.dist-info
也就是numpy-1.19.5 tensorflow-2.4.1这两个是相匹配的。
接下来重整思路看下如何安装pip install fancyimpute
