可以将文章内容翻译成中文,广告屏蔽插件可能会导致该功能失效(如失效，请关闭广告屏蔽插件后再试):
问题:
I'm importing:
from scipy import misc, io
But I get these errors:
Traceback (most recent call last): File "C:\work_asaaki\code\generateProposals.py", line 20, in <module> from scipy import misc, io File "C:\Python27\lib\site-packages\scipy\misc\__init__.py", line 47, in <module> from scipy.special import comb, factorial, factorial2, factorialk File "C:\Python27\lib\site-packages\scipy\special\__init__.py", line 548, in <module> from .basic import * File "C:\Python27\lib\site-packages\scipy\special\basic.py", line 17, in <module> from . import orthogonal File "C:\Python27\lib\site-packages\scipy\special\orthogonal.py", line 90, in <module> from scipy import linalg File "C:\Python27\lib\site-packages\scipy\linalg\__init__.py", line 159, in <module> from .misc import * File "C:\Python27\lib\site-packages\scipy\linalg\misc.py", line 5, in <module> from . import blas File "C:\Python27\lib\site-packages\scipy\linalg\blas.py", line 145, in <module> from scipy.linalg import _fblas ImportError: DLL load failed: The specified module could not be found. Exception in thread Thread-1 (most likely raised during interpreter shutdown):
I'm running 64-bit Windows 7, and Python 2.7, In Anaconda's Spyder. I've tried the following:
pip install scipy-stack # this couldn't find any downloads that satisfy scipy-stack pip install _fblas # this wasn't found pip install ipython # this was successful pip install scikit-learn # this was successful pip install scipy # this was successful
I tried downloading SciPy and SciPy-Stack and scitkit-image from http://www.lfd.uci.edu/~gohlke/pythonlibs/ but I don't know what's wrong - it seems all the links are broken. My download always fails midway. Is there any way out of this? (Without having to re-install Anaconda Spyder from scratch)?
回答1:
For those who the previous answer doesn't solve the problem, take a look at the answer for this question: ImportError when importing certain modules from SciPY
Worked for me!
回答2:
I solved this problem on Windows 8.1 by installing .
Apparently, was missing something.
回答3:
I had the same problem and installing of the latest version of NumPy+MKL from http://www.lfd.uci.edu/~gohlke/pythonlibs/ helped me. By the way, strangely I couldn't install the .whl file via wheel, but installing via pip worked.
回答4:
In my case, I got this error when I run
from sklearn import datasets iris = datasets.load_iris()
I solve this by updating scipy from 0.16.0-np110py27_0 to 0.17.1-np110py27_1
conda update scipy
The following packages will be downloaded:
package | build ---------------------------|----------------- mkl-11.3.3 | 1 110.0 MB python-2.7.12 | 0 23.5 MB conda-env-2.5.1 | py27_0 67 KB ruamel_yaml-0.11.7 | py27_0 201 KB conda-4.1.9 | py27_0 245 KB numexpr-2.4.4 | np110py27_0 120 KB scipy-0.17.1 | np110py27_1 11.5 MB scikit-learn-0.16.1 | np110py27_0 3.5 MB ------------------------------------------------------------ Total: 149.1 MB
The following NEW packages will be INSTALLED:
mkl: 11.3.3-1 ruamel_yaml: 0.11.7-py27_0
The following packages will be UPDATED:
conda: 4.0.7-py27_0 --> 4.1.9-py27_0 conda-env: 2.4.5-py27_0 --> 2.5.1-py27_0 numexpr: 2.3.1-np19py27_0 --> 2.4.4-np110py27_0 python: 2.7.11-4 --> 2.7.12-0 scikit-learn: 0.15.2-np19py27_0 --> 0.16.1-np110py27_0 scipy: 0.16.0-np110py27_0 --> 0.17.1-np110py27_1
回答5:
Search for your Numpy+MKL version as described here.
This worked for me:
python - m pip install xxx
回答6:
In my case, this solution is working.
window 10 64 bit, Python 3.6.3
- delete Numpy and Scipy
- download window binaries of Numpy and Scipy from https://www.lfd.uci.edu/~gohlke/pythonlibs/
- install Numpy and Scipy
- pip3 install scipy-stack
Then, it is working.
回答7:
this worked for me
conda update scipy
... The following NEW packages will be INSTALLED:
icc_rt: 2017.0.4-h97af966_0 intel-openmp: 2018.0.0-8
The following packages will be UPDATED:
conda: 4.3.34-py36_0 conda-forge --> 4.5.0-py36_0 conda-env: 2.6.0-0 conda-forge --> 2.6.0-h36134e3_1 mkl: 2017.0.1-0 --> 2018.0.2-1 numexpr: 2.6.1-np111py36_2 --> 2.6.4-py36h30784b8_0 numpy: 1.11.3-py36_0 --> 1.11.3-py36h4a99626_4 pycosat: 0.6.1-py36_1 --> 0.6.3-py36h413d8a4_0 scikit-learn: 0.18.1-np111py36_1 --> 0.19.1-py36h53aea1b_0 scipy: 0.18.1-np111py36_1 --> 1.0.0-py36h1260518_0
Proceed ([y]/n)? y
To test, I typed python
from scipy import signal
