I have a problem importing scipy.optimize, as well as other scipy's modules. Every time I run the code I get the following error:
File "C:/Users/project/test.py", line 4, in
from scipy.optimize import *
File "C:\Users\project\venv\lib\site-packages\scipy__init__.py", line 156, in
from . import fft
File "C:\Users\project\venv\lib\site-packages\scipy\fft__init__.py", line 76, in
from ._basic import (
File "C:\Users\project\venv\lib\site-packages\scipy\fft_basic.py", line 1, in
from scipy._lib.uarray import generate_multimethod, Dispatchable
File "C:\Users\project\venv\lib\site-packages\scipy_lib\uarray.py", line 27, in
from ._uarray import *
File "C:\Users\project\venv\lib\site-packages\scipy_lib_uarray__init__.py", line 114, in
from ._backend import *
File "C:\Users\project\venv\lib\site-packages\scipy_lib_uarray_backend.py", line 15, in
from . import _uarray # type: ignore
ImportError: DLL load failed: The specified module could not be found.
I tried reinstalling both numpy and scipy as well as installing scipy manually from here as some suggested, however nothing changed. I use Windows10 64b, Python 3.7.
I uninstalled SciPy 1.4.1 and installed SciPy 1.4.0. It resolved the problem.
pip uninstall scipy
pip install scipy==1.4.0
Related
The script normally works on a local machine, but it also fails when it is uploaded to the server. The program falls on the line:
from keras.models import model_from_json
All versions of libraries on a laptop and server are the same. Python 3.6.5, Keras 2.2.4, Tensorflow 1.5.0, Numpy 1.14.3
Error message:
(base) C:\classX5>python app.py
Using TensorFlow backend.
Traceback (most recent call last):
File "app.py", line 8, in <module>
from keras.models import model_from_json
File "C:\Anaconda3\lib\site-packages\keras\__init__.py", line 3, in <module>
from . import utils
File "C:\Anaconda3\lib\site-packages\keras\utils\__init__.py", line 27, in <mo
dule>
from .multi_gpu_utils import multi_gpu_model
File "C:\Anaconda3\lib\site-packages\keras\utils\multi_gpu_utils.py", line 7,
in <module>
from ..layers.merge import concatenate
File "C:\Anaconda3\lib\site-packages\keras\layers\__init__.py", line 4, in <mo
dule>
from ..engine.base_layer import Layer
File "C:\Anaconda3\lib\site-packages\keras\engine\__init__.py", line 8, in <mo
dule>
from .training import Model
File "C:\Anaconda3\lib\site-packages\keras\engine\training.py", line 21, in <m
odule>
from . import training_arrays
File "C:\Anaconda3\lib\site-packages\keras\engine\training_arrays.py", line 8,
in <module>
from scipy.sparse import issparse
File "C:\Anaconda3\lib\site-packages\scipy\__init__.py", line 119, in <module>
from scipy._lib._ccallback import LowLevelCallable
File "C:\Anaconda3\lib\site-packages\scipy\_lib\_ccallback.py", line 1, in <mo
dule>
from . import _ccallback_c
ImportError: cannot import name '_ccallback_c'
All versions of libraries on a laptop and server are the same. Python
3.6.5, Keras 2.2.4, Tensorflow 1.5.0, Numpy 1.14.3
But NOT the scipy package.
Just uninstall (pip3 uninstall scipy) and reinstall scipy package. It solved the problem for many people.
Posting my same answer here I posted on the linked question:
This is likely an issue with the SciPy Python module compatibility you have installed in your site-packages folder and the OS architecture you're running it on.
After digging in, to give the full background on this, first of all SciPy relies on having NumPy already installed. The SciPy wheel's setup.py file uses NumPy functionality to configure and install the wheel.
SciPy setup.py:
...
if __name__ == '__main__':
from numpy.distutils.core import setup
setup(**configuration(top_path='').todict())
Secondly, when just trying to use the wheel, if you run into this error, you can see after inspecting the wheel's files that the reason is the binary wheels have a naming convention where the shared object file, here it's called _ccallback_c.so, is instead named based on the architecture that the binary wheel supports. When trying to import the shared object by file name in /_lib/_ccallback.py it can't find it, hence this error (line 1 in /_lib/_ccallback.py) because, instead of being named _ccallback_c.so it's called _ccallback_c.cpython-36m-x86_64-linux-gnu.so or another architecture variation:
from . import _ccallback_c
These file names may be an artifact of having not run the NumPy setup process yet or something related to Cython, that I'm not quite sure about. But the easiest fix is to change the .whl extension to .zip and rename all those relevant .so files to not contain the architecture snippet. Then change .zip -> .whl and it should be good to go.
I coded in jupyter-notebook, fetching data from mysqlserver and then downloaded it as a python script because I want to implement it in my website using cronjob. So when I run the Python script, I'm getting this error:
import seaborn as sns
File "C:\Users\Debadri\AppData\Local\Programs\Python\Python36\lib\site-packages\seaborn\__init__.py", line 6, in <module>
from .rcmod import *
File "C:\Users\Debadri\AppData\Local\Programs\Python\Python36\lib\site-packages\seaborn\rcmod.py", line 5, in <module>
from . import palettes, _orig_rc_params
File "C:\Users\Debadri\AppData\Local\Programs\Python\Python36\lib\site-packages\seaborn\palettes.py", line 12, in <module>
from .utils import desaturate, set_hls_values, get_color_cycle
File "C:\Users\Debadri\AppData\Local\Programs\Python\Python36\lib\site-packages\seaborn\utils.py", line 7, in <module>
from scipy import stats
File "C:\Users\Debadri\AppData\Local\Programs\Python\Python36\lib\site-packages\scipy\__init__.py", line 61, in <module>
from numpy._distributor_init import NUMPY_MKL # requires numpy+mkl
ImportError: cannot import name 'NUMPY_MKL'
I tried to install numpy+mkl .whl file from this link: Numpy+MKL, this (numpy‑1.15.1+mkl‑cp37‑cp37m‑win_amd64.whl) package, but it showed, not supported when I tried to install it.
The following solution worked out:
Solution:
If you are using windows make sure you install numpy+mkl instead of just numpy.
If you have already installed scipy and numpy, uninstall then using "pip uninstall scipy" and "pip uninstall numpy"
Now download scipy from http://www.lfd.uci.edu/~gohlke/pythonlibs/#scipy (appropriate version for your python and system)
and install using "pip install scipy‑1.1.0‑cp36‑cp36m‑win_amd64.whl" (Please install from the list according to your system config)
Your numpy and Scipy both should work now.
These binaries by Christoph Gohlke makes it very easy to install python packages on windows. But make sure you download all the dependent packages from there.
Reference: 4th answer of this question ImportError: cannot import name NUMPY_MKL
I am getting below error when execute below:
import numpy as np
The full stack trace:
File "C:\Anaconda3\lib\site-packages\numpy\__init__.py", line 142, in <module>
from . import add_newdocs
File "C:\Anaconda3\lib\site-packages\numpy\add_newdocs.py", line 13, in <module>
from numpy.lib import add_newdoc
File "C:\Anaconda3\lib\site-packages\numpy\lib\__init__.py", line 8, in <module>
from .type_check import *
File "C:\Anaconda3\lib\site-packages\numpy\lib\type_check.py", line 11, in <module>
import numpy.core.numeric as _nx
File "C:\Anaconda3\lib\site-packages\numpy\core\__init__.py", line 14, in <module>
from . import multiarray
ImportError: DLL load failed: The specified module could not be found.
Process finished with exit code 1
This looks like some of the dependencies are missing for the package numpy. The DLL load failed error points towards either incorrectly installed and/or missing files for package numpy. You should just try installing numpy again through Anaconda CLI using the following command:
conda install numpy
This works most of the times, if your python environments are sorted correctly. Do make sure that the python installation you're using for Anaconda, is the same one as your coding environment. Conflicting versions can sometimes lead to corrupted packages.
You could also try the following command to update the Anaconda Environment just to make sure that the installations are up to date, and not conflicting with older versions..
conda update -y -all
I'm trying to call a function from the cluster module, like so:
import sklearn
db = sklearn.cluster.DBSCAN()
and I get the following error:
AttributeError: 'module' object has no attribute 'cluster'
Tab-completing in IPython, I seem to have access to the base, clone, externals, re, setup_module, sys, and warning modules. Nothing else, though others (including cluster) are in the sklearn directory.
Following pbu's advice below and using
from sklearn import cluster
I get:
Traceback (most recent call last):
File "test.py", line 2, in <module>
from sklearn import cluster
File "C:\Python34\lib\site-packages\sklearn\cluster\__init__.py", line 6, in <module>
from .spectral import spectral_clustering, SpectralClustering
File "C:\Python34\lib\site-packages\sklearn\cluster\spectral.py", line 13, in <module>
from ..utils import check_random_state, as_float_array
File "C:\Python34\lib\site-packages\sklearn\utils\__init__.py", line 16, in <module>
from .class_weight import compute_class_weight, compute_sample_weight
File "C:\Python34\lib\site-packages\sklearn\utils\class_weight.py", line 7, in <module>
from ..utils.fixes import in1d
File "C:\Python34\lib\site-packages\sklearn\utils\fixes.py", line 318, in <module>
from scipy.sparse.linalg import lsqr as sparse_lsqr
File "C:\Python34\lib\site-packages\scipy\sparse\linalg\__init__.py", line 109, in <module>
from .isolve import *
File "C:\Python34\lib\site-packages\scipy\sparse\linalg\isolve\__init__.py", line 6, in <module>
from .iterative import *
File "C:\Python34\lib\site-packages\scipy\sparse\linalg\isolve\iterative.py", line 7, in <module>
from . import _iterative
ImportError: DLL load failed: The specified module could not be found.
I'm using Python 3.4 on Windows, scikit-learn 0.16.1.
You probably don't use Numpy+MKL, but only Numpy.
I had the same problem and reinstalling Numpy with MKL
pip install --upgrade --force-reinstall "numpy‑1.16.3+mkl‑cp37‑cp37m‑win32.whl"
fixed it.
Note: update the file to the latest version, possibly 64bit - see the list of available Windows binaries
Problem was with scipy/numpy install. I'd been using the (normally excellent!) unofficial installers from http://www.lfd.uci.edu/~gohlke/pythonlibs/. Uninstall/re-install from there made no difference, but installing with the official installers (linked from http://www.scipy.org/install.html) did the trick.
I am using anaconda got the same error as the OP, when loading Orange, or PlotNine.
I can't recall when this start to happen.
Tracing the dependency of Anaconda3\Lib\site-packages\scipy\special\_ufuncs.cp36-win32.pyd, libifcoremd.dll and libmmd.dll are missing in DependencyWalk. Searching them in anaconda root directry, they are located in both ICC_RT and one version of MKL package.
Adding Anaconda3\pkgs\mkl-2017.0.3-0\Library\bin to PATH, seems to fix SciPy and NumPy related DLL load failure, the above package starts to work again.
I still don't know how to fix this properly. Apparently the downside is that the MKL package could be updated and versions may change so does the path. In this aspect Its equally inconvenient as adding a non-managed package.
Reinstalling ICC_RT fixed the issue for me, libmmd.dll and the related dlls are automatically copied into anaconda3/library/bin afterwards, which is automatically added into PATH by activate command. All previous numpy/scipy related cant load DLL errors are gone now.
From the error log, it shows that scipy module is the most recent module fails to import
File "C:\Python34\lib\site-packages\sklearn\utils\fixes.py", line 318, in <module>
from scipy.sparse.linalg import lsqr as sparse_lsqr
File "C:\Python34\lib\site-packages\scipy\sparse\linalg\__init__.py", line 109, in <module>
from .isolve import *
File "C:\Python34\lib\site-packages\scipy\sparse\linalg\isolve\__init__.py", line 6, in <module>
from .iterative import *
File "C:\Python34\lib\site-packages\scipy\sparse\linalg\isolve\iterative.py", line 7, in <module>
from . import _iterative
ImportError: DLL load failed: The specified module could not be found.
I have the same error that show the same log, the problem'd gone when I uninstall/install scipy:
pip uninstall scipy
pip install scipy
Place this line on top of the python file
from sklearn import cluster
That should do it :))
For me what fixed it were these commands:
pip uninstall sklearn
pip uninstall scikit-learn
pip uninstall scipy
pip install scipy
pip install scikit-learnhere
I had the same issue and solved it by installing/updating the mkl package:
conda install mkl
or
pip install mkl
Just for full information, this also downgraded the following packages:
The following packages will be UPDATED:
mkl: 2017.0.4-h6d528fc_0 defaults --> 2018.0.3-1 defaults
The following packages will be DOWNGRADED:
numpy: 1.11.3-py34_0 defaults --> 1.10.1-py34_0 defaults
pandas: 0.19.2-np111py34_1 defaults --> 0.18.1-np110py34_0 defaults
scikit-learn: 0.18.1-np111py34_1 defaults --> 0.17-np110py34_1 defaults
scipy: 0.19.1-np111py34_0 defaults --> 0.16.0-np110py34_0 defaults
I struggled trying to figure this one out; tried to download and install the (unofficial) Numpy+MKL library from the website (risky/tedious?).
Ultimately found success by:
Login to command prompt using admin rights; how to here: https://superuser.com/questions/968214/open-cmd-as-admin-with-windowsr-shortcut
Uninstall existing/tangled version of Scipy & Numpy
pip uninstall scipy
pip uninstall numpy
Fresh install Scipy & Numpy
pip install scipy
pip install numpy
Run Jupyter notebook; it worked for me.
The message ImportError: DLL load failed: The specified module could not be found
informs that there is failure to identify and source the required DLL(s) to use the scikit-learn library; a fresh install of scipy/numpy probably enables a better routing of DLL connections called from Jupyter notebook code(s).
download microsoft visual c++ distribution
link : https://www.microsoft.com/en-in/download/details.aspx?id=53840
vc_redist.x64.exe
install and run this .exe file in your computer.. the DLL import module error will not appear after this
now it will work fine enjoy :)
I have Anaconda 4.3.1 installed in my laptop after the commands cd /home/username/anaconda3and source bin/activate ~/anaconda3 my package starts .
And I installed keras using pip3 conda install keras inside my anaconda. package.and made a document named keras.json inside my keras folder.
When I start my Python in anaconda3 and import keras this happens
>>> import keras'
Using TensorFlow backend.
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/tushar/.local/lib/python3.5/site-packages/keras/__init__.py", line 3, in <module>
from . import activations
File "/home/tushar/.local/lib/python3.5/site-packages/keras/activations.py", line 3, in <module>
from . import backend as K
File "/home/tushar/.local/lib/python3.5/site-packages/keras/backend/__init__.py", line 64, in <module>
from .tensorflow_backend import *
File "/home/tushar/.local/lib/python3.5/site-packages/keras/backend/tensorflow_backend.py", line 6, in <module>
from tensorflow.python.ops import ctc_ops as ctc
ImportError: cannot import name 'ctc_ops'
After following this I could not get any solution. I would appreciate any help.
I had this same exact issue (I was using pip instead of conda to install keras / tensorflow, however). Make sure you have the most up-to-date version of tensorflow (tensorflow-1.0.1 as of March 31st, 2017).
sudo pip install tensorflow --upgrade
fixed the problem for me (I was running tensorflow-0.9.0rc0 before and was getting the same ImportError: cannot import name ctc_ops error as you)