我以前可以在一个 Jupyterlab 笔记本而不是其他笔记本中成功地从 fancyimpute 导入模块。重新启动PC后，它在所有笔记本电脑中均失败，并显示“ ImportError：DLL加载失败：找不到指定的过程。”
为什么它在一个选项卡中起作用而不在另一个选项卡中起作用？ 而且，更令人担忧的是，为什么它会停止一起工作？
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。在可以工作的笔记本电脑和不能工作的笔记本电脑之间的唯一区别是，在可以工作的笔记本电脑上没有我打开该笔记本电脑后添加的factor_analyzer-0.3.1-py3.6.egg条目。 >
我调查了 sys.path ，并对其工作的笔记本电脑进行了如下查找（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
，错误消息是：
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.
对于调查和解决此问题的任何建议将不胜感激。也请告知我是否需要提供有关环境的更多详细信息。
!pip list
礼物：
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
试图通过将protobuf降级到3.7.0来解决该问题，并通过直接导入罪魁祸首进行了测试：
from google.protobuf.pyext import _message
哪个给
---------------------------------------------------------------------------
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.