python - 如何解决以前工作的fancyimpute的“ImportError：DLL加载失败：”
问题描述
我以前可以在一个Jupyterlab笔记本中成功地从fancyimpute导入模块，而不是在其他笔记本中。重新启动我的电脑后，它在所有笔记本电脑中都失败，并显示“ImportError: DLL load failed: The specified procedure could not be found.”
为什么它会在一个选项卡而不是另一个选项卡中工作？而且，更令人担忧的是，为什么它会停止协同工作？
关于类似错误的其他一些帖子表明它可能与我调查的 sys.path 有关。它工作的笔记本和不工作的笔记本之间的唯一区别是，它工作的笔记本缺少我在打开该笔记本后添加的 factor_analyzer-0.3.1-py3.6.egg 条目。
我调查了sys.path并且它工作的笔记本看起来像这样（我手动输入了回车以使其更清晰）：
['C:\\Users\\laure\\Anaconda3\\envs\\scipy18jlab\\python36.zip',
'C:\\Users\\laure\\Anaconda3\\envs\\scipy18jlab\\DLLs',
'C:\\Users\\laure\\Anaconda3\\envs\\scipy18jlab\\lib',
'C:\\Users\\laure\\Anaconda3\\envs\\scipy18jlab',
'',
'C:\\Users\\laure\\Anaconda3\\envs\\scipy18jlab\\lib\\site-packages',
'C:\\Users\\laure\\Anaconda3\\envs\\scipy18jlab\\lib\\site-packages\\IPython\\extensions',
'C:\\Users\\laure\\.ipython']
对于那些没有的：
['C:\\Users\\laure\\Anaconda3\\envs\\scipy18jlab\\python36.zip',
'C:\\Users\\laure\\Anaconda3\\envs\\scipy18jlab\\DLLs',
'C:\\Users\\laure\\Anaconda3\\envs\\scipy18jlab\\lib',
'C:\\Users\\laure\\Anaconda3\\envs\\scipy18jlab',
'',
'C:\\Users\\laure\\Anaconda3\\envs\\scipy18jlab\\lib\\site-packages',
'C:\\Users\\laure\\Anaconda3\\envs\\scipy18jlab\\lib\\site-packages\\factor_analyzer-0.3.1-py3.6.egg', 'C:\\Users\\laure\\Anaconda3\\envs\\scipy18jlab\\lib\\site-packages\\IPython\\extensions',
'C:\\Users\\laure\\.ipython']
产生错误的代码是：
from fancyimpute import KNN, NuclearNormMinimization, SoftImpute, IterativeImputer, BiScaler, SimpleFill
错误信息是：
Using TensorFlow backend.
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
<ipython-input-5-64b839002688> in <module>
----> 1 from fancyimpute import KNN, NuclearNormMinimization, SoftImpute, IterativeImputer, BiScaler, SimpleFill
~\Anaconda3\envs\scipy18jlab\lib\site-packages\fancyimpute\__init__.py in <module>
4 from .nuclear_norm_minimization import NuclearNormMinimization
5 from .iterative_imputer import IterativeImputer
----> 6 from .matrix_factorization import MatrixFactorization
7 from .iterative_svd import IterativeSVD
8 from .simple_fill import SimpleFill
~\Anaconda3\envs\scipy18jlab\lib\site-packages\fancyimpute\matrix_factorization.py in <module>
14
15 import numpy as np
---> 16 from keras import regularizers
17 from keras.callbacks import EarlyStopping
18 from keras.layers import Input
~\Anaconda3\envs\scipy18jlab\lib\site-packages\keras\__init__.py in <module>
1 from __future__ import absolute_import
2
----> 3 from . import utils
4 from . import activations
5 from . import applications
~\Anaconda3\envs\scipy18jlab\lib\site-packages\keras\utils\__init__.py in <module>
4 from . import data_utils
5 from . import io_utils
----> 6 from . import conv_utils
7
8 # Globally-importable utils.
~\Anaconda3\envs\scipy18jlab\lib\site-packages\keras\utils\conv_utils.py in <module>
7 from six.moves import range
8 import numpy as np
----> 9 from .. import backend as K
10
11
~\Anaconda3\envs\scipy18jlab\lib\site-packages\keras\backend\__init__.py in <module>
87 elif _BACKEND == 'tensorflow':
88 sys.stderr.write('Using TensorFlow backend.\n')
---> 89 from .tensorflow_backend import *
90 else:
91 # Try and load external backend.
~\Anaconda3\envs\scipy18jlab\lib\site-packages\keras\backend\tensorflow_backend.py in <module>
3 from __future__ import print_function
4
----> 5 import tensorflow as tf
6 from tensorflow.python.framework import ops as tf_ops
7 from tensorflow.python.training import moving_averages
~\Anaconda3\envs\scipy18jlab\lib\site-packages\tensorflow\__init__.py in <module>
22
23 # pylint: disable=g-bad-import-order
---> 24 from tensorflow.python import pywrap_tensorflow # pylint: disable=unused-import
25
26 from tensorflow._api.v1 import app
~\Anaconda3\envs\scipy18jlab\lib\site-packages\tensorflow\python\__init__.py in <module>
50
51 # Protocol buffers
---> 52 from tensorflow.core.framework.graph_pb2 import *
53 from tensorflow.core.framework.node_def_pb2 import *
54 from tensorflow.core.framework.summary_pb2 import *
~\Anaconda3\envs\scipy18jlab\lib\site-packages\tensorflow\core\framework\graph_pb2.py in <module>
4 import sys
5 _b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
----> 6 from google.protobuf import descriptor as _descriptor
7 from google.protobuf import message as _message
8 from google.protobuf import reflection as _reflection
~\Anaconda3\envs\scipy18jlab\lib\site-packages\google\protobuf\descriptor.py in <module>
45 import binascii
46 import os
---> 47 from google.protobuf.pyext import _message
48 _USE_C_DESCRIPTORS = getattr(_message, '_USE_C_DESCRIPTORS', False)
49
ImportError: DLL load failed: The specified procedure could not be found.
任何有关调查和解决问题的建议都将不胜感激。如果我需要提供有关环境的更多详细信息，请告诉我。
!pip list
给出：
Package Version
-------------------- -----------
absl-py 0.7.1
appdirs 1.4.3
arrow 0.13.1
asn1crypto 0.24.0
astor 0.7.1
attrs 18.2.0
backcall 0.1.0
beautifulsoup4 4.5.3
binaryornot 0.4.4
bleach 3.1.0
bqplot 0.11.5
CausalInference 0.1.2
certifi 2019.3.9
cffi 1.12.0
chardet 3.0.4
Click 7.0
colorama 0.4.1
cookiecutter 1.6.0
country-converter 0.6.6
cryptography 2.3.1
CVXcanon 0.1.1
cvxpy 1.0.21
cycler 0.10.0
decorator 4.3.2
defusedxml 0.6.0
dill 0.2.9
distro 1.4.0
ecos 2.0.7.post1
entrypoints 0.3
factor-analyzer 0.3.1
fancyimpute 0.4.3
fastcache 1.0.2
future 0.17.1
gast 0.2.2
grpcio 1.20.1
h5py 2.9.0
html-table-extractor 1.3.0
idna 2.8
impyute 0.0.7
ipydatawidgets 4.0.0
ipykernel 5.1.0
ipyscales 0.3.0
ipython 7.2.0
ipython-genutils 0.2.0
ipywidgets 7.4.2
jedi 0.13.2
Jinja2 2.10
jinja2-time 0.2.0
jsonschema 3.0.0a3
jupyter-client 5.2.4
jupyter-core 4.4.0
jupyterlab 0.35.4
jupyterlab-server 0.2.0
Keras 2.2.4
Keras-Applications 1.0.7
Keras-Preprocessing 1.0.9
kiwisolver 1.1.0
knnimpute 0.1.0
lxml 4.3.1
Markdown 3.1
MarkupSafe 1.1.0
matplotlib 3.0.3
missingno 0.4.1
mistune 0.8.4
mkl-fft 1.0.10
mkl-random 1.0.2
mock 2.0.0
multiprocess 0.70.7
nbconvert 5.5.0
nbformat 4.4.0
notebook 5.5.0
np-utils 0.5.10.0
numpy 1.16.3
osqp 0.5.0
packaging 19.0
pandas 0.23.4
pandas-datareader 0.7.0
pandocfilters 1.4.2
parso 0.3.4
patsy 0.5.1
pbr 5.2.0
pickleshare 0.7.5
pip 19.0.2
poyo 0.4.2
prompt-toolkit 2.0.8
protobuf 3.7.1
pyarrow 0.13.0
pycparser 2.19
Pygments 2.3.1
pyOpenSSL 19.0.0
pyparsing 2.4.0
PyPDF2 1.26.0
pyrsistent 0.14.10
PySocks 1.6.8
python-dateutil 2.8.0
pythreejs 2.0.2
pytz 2018.9
pywinpty 0.5.5
PyYAML 5.1
pyzmq 17.1.2
quilt 2.9.15
requests 2.21.0
scikit-learn 0.20.3
scipy 1.2.1
scs 2.1.0
seaborn 0.9.0
Send2Trash 1.5.0
setuptools 40.8.0
six 1.12.0
statsmodels 0.9.0
tabula-py 1.3.1
tensorboard 1.13.1
tensorflow 1.13.1
tensorflow-estimator 1.13.0
termcolor 1.1.0
terminado 0.8.1
testpath 0.4.2
tornado 5.1.1
tqdm 4.31.1
traitlets 4.3.2
traittypes 0.2.1
urllib3 1.24.1
wbdata 0.2.7
wcwidth 0.1.7
webencodings 0.5.1
Werkzeug 0.15.2
wheel 0.33.0
whichcraft 0.5.2
widgetsnbextension 3.4.2
win-inet-pton 1.0.1
wincertstore 0.2
wrapt 1.11.1
xlrd 1.2.0
XlsxWriter 1.1.4
xlwt 1.3.0
尝试通过将protobuf降级到3.7.0来解决问题，并通过直接导入罪魁祸首进行测试：
from google.protobuf.pyext import _message
这使
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
<ipython-input-10-019e0ec86f84> in <module>
----> 1 from google.protobuf.pyext import _message
ImportError: DLL load failed: The specified procedure could not be found.
解决方案
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