After uninstalling Anaconda to stop problems with Jupyter notebook kernels, I am trying to run a file which requires from mpl_toolkits.mplot3d import Axes3D from matplotlib.colors import LogNorm from matplotlib import animation from IPython.display import HTML from autograd import elementwise_grad, value_and_grad from scipy.optimize import minimize from collections import defaultdict from itertools import zip_longest from functools import partial and getting this message: --------------------------------------------------------------------------- ImportError Traceback (most recent call last) <ipython-input-2-29781769facb> in <module>() 10 11 from autograd import elementwise_grad, value_and_grad ---> 12 from scipy.optimize import minimize 13 from collections import defaultdict 14 from itertools import zip_longest c:\python27\lib\site-packages\scipy\__init__.py in <module>() 59 __all__ = ['test'] 60 ---> 61 from numpy._distributor_init import NUMPY_MKL # requires numpy+mkl 62 63 from numpy import show_config as show_numpy_config ImportError: cannot import name NUMPY_MKL I tried installing scipy.optimize: C:\Users\Toni>pip install scipy.optimize Collecting scipy.optimize Could not find a version that satisfies the requirement scipy.optimize (from versions: ) No matching distribution found for scipy.optimize I'm using Windows 10 on a 64-bit computer, and python 2.7.13. I did try the following: >C:\Users\Toni>pip install scipy Requirement already satisfied: scipy in c:\python2/\lib\site-packages Requirement already satisfied: numpy>=1.8.2 in c:\python2/\lib\site-package (from scipy) PROGRESS NOTES: OK... It seems as though scipy may have been incorrectly installed (following the lead from the first answer)... So I uninstall it, and then try... pip install scipy failed with error code 1 in c:\users\toni\appdata\local\temp\pip-build-vnjyae\scipy which sends me here, and later on here, but not so fast, first stop here with the conundrum of which one to choose: NumPy, a fundamental package needed for scientific computing with Python. Numpy+MKL is linked to the Intel® Math Kernel Library and includes required DLLs in the numpy.core directory. numpy‑1.11.3+mkl‑cp27‑cp27m‑win32.whl numpy‑1.11.3+mkl‑cp27‑cp27m‑win_amd64.whl numpy‑1.11.3+mkl‑cp34‑cp34m‑win32.whl numpy‑1.11.3+mkl‑cp34‑cp34m‑win_amd64.whl numpy‑1.11.3+mkl‑cp35‑cp35m‑win32.whl numpy‑1.11.3+mkl‑cp35‑cp35m‑win_amd64.whl numpy‑1.11.3+mkl‑cp36‑cp36m‑win32.whl numpy‑1.11.3+mkl‑cp36‑cp36m‑win_amd64.whl numpy‑1.13.0+mkl‑cp27‑cp27m‑win32.whl numpy‑1.13.0+mkl‑cp27‑cp27m‑win_amd64.whl numpy‑1.13.0+mkl‑cp34‑cp34m‑win32.whl numpy‑1.13.0+mkl‑cp34‑cp34m‑win_amd64.whl numpy‑1.13.0+mkl‑cp35‑cp35m‑win32.whl numpy‑1.13.0+mkl‑cp35‑cp35m‑win_amd64.whl numpy‑1.13.0+mkl‑cp36‑cp36m‑win32.whl numpy‑1.13.0+mkl‑cp36‑cp36m‑win_amd64.whl And here is the key (probably): Typing python on the cmd prompt I get: Python 2.7.13 (v2.7.13:a06454b1afa1, Dec 17 2016, 20:42:59) [MSC v.1500 32 bit (Intel)] on win 32 So from Python 2.7, I need the 27 version, and from win 32 I have to disregard the fact that I have a 64-bit computer. So clear... Continue reading...
