run python with package numpy in mathematica

For example, if I have a python script called simple.py contains as simple as

a=1
print(a)

then

RunProcess[{"python", "E:\\w\\simple.py"}]

is ok and gives

<|"ExitCode" -> 0, "StandardOutput" -> "1


  ", "StandardError" -> ""|>

However, if I edit simple.py as

import numpy as np
a=np.array([1,2])
print(a)

then

RunProcess[{"python", "E:\\w\\simple.py"}]

gives

<|"ExitCode" -> 1, "StandardOutput" -> "", 
 "StandardError" -> "Traceback (most recent call last):

    File \"E:\\w\\WORK\\python\\learning\\simple.py\", line 1, in \


      import numpy as np

    File \"D:\\IntelPython35\\lib\\site-packages\\numpy\\__init__.py\"\

, line 158, in 

      from . import add_newdocs

    File \"D:\\IntelPython35\\lib\\site-packages\\numpy\\add_newdocs.\
py\", line 13, in 

      from numpy.lib import add_newdoc

    File \"D:\\IntelPython35\\lib\\site-packages\\numpy\\lib\\__init__\

.py\", line 8, in 

      from .type_check import *

    File \"D:\\IntelPython35\\lib\\site-packages\\numpy\\lib\\type_\
check.py\", line 11, in 

      import numpy.core.numeric as _nx

    File \"D:\\IntelPython35\\lib\\site-packages\\numpy\\core\\__init_\

_.py\", line 21, in 

      from . import umath

  ImportError: DLL load failed: ÕÒ\.b2»\[Micro]½Ö¸\[Paragraph]¨\
\[Micro]Ä\.b3ÌÐò¡£

  "|>

What is wrong? How to make numpy work with RunProcess?

update

I've tried on a linux computer. The same python script works. So it is a problem of why RunProcess doesn't import packages correctly on windows?

update

A work around.

I uninstalled intel python and install anaconda.

Now it is working. Maybe intel python misses something in the PATH

Comments

plotting - Filling between two spheres in SphericalPlot3D

Manipulate[ SphericalPlot3D[{1, 2 - n}, {θ, 0, Pi}, {ϕ, 0, 1.5 Pi}, Mesh -> None, PlotPoints -> 15, PlotRange -> {-2.2, 2.2}], {n, 0, 1}] I cant' seem to be able to make a filling between two spheres. I've already tried the obvious Filling -> {1 -> {2}} but Mathematica doesn't seem to like that option. Is there any easy way around this or ... Answer There is no built-in filling in SphericalPlot3D . One option is to use ParametricPlot3D to draw the surfaces between the two shells: Manipulate[ Show[SphericalPlot3D[{1, 2 - n}, {θ, 0, Pi}, {ϕ, 0, 1.5 Pi}, PlotPoints -> 15, PlotRange -> {-2.2, 2.2}], ParametricPlot3D[{ r {Sin[t] Cos[1.5 Pi], Sin[t] Sin[1.5 Pi], Cos[t]}, r {Sin[t] Cos[0 Pi], Sin[t] Sin[0 Pi], Cos[t]}}, {r, 1, 2 - n}, {t, 0, Pi}, PlotStyle -> Yellow, Mesh -> {2, 15}]], {n, 0, 1}]

plotting - Plot 4D data with color as 4th dimension

I have a list of 4D data (x position, y position, amplitude, wavelength). I want to plot x, y, and amplitude on a 3D plot and have the color of the points correspond to the wavelength. I have seen many examples using functions to define color but my wavelength cannot be expressed by an analytic function. Is there a simple way to do this? Answer Here a another possible way to visualize 4D data: data = Flatten[Table[{x, y, x^2 + y^2, Sin[x - y]}, {x, -Pi, Pi,Pi/10}, {y,-Pi,Pi, Pi/10}], 1]; You can use the function Point along with VertexColors . Now the points are places using the first three elements and the color is determined by the fourth. In this case I used Hue, but you can use whatever you prefer. Graphics3D[ Point[data[[All, 1 ;; 3]], VertexColors -> Hue /@ data[[All, 4]]], Axes -> True, BoxRatios -> {1, 1, 1/GoldenRatio}]

plotting - Mathematica: 3D plot based on combined 2D graphs

I have several sigmoidal fits to 3 different datasets, with mean fit predictions plus the 95% confidence limits (not symmetrical around the mean) and the actual data. I would now like to show these different 2D plots projected in 3D as in but then using proper perspective. In the link here they give some solutions to combine the plots using isometric perspective, but I would like to use proper 3 point perspective. Any thoughts? Also any way to show the mean points per time point for each series plus or minus the standard error on the mean would be cool too, either using points+vertical bars, or using spheres plus tubes. Below are some test data and the fit function I am using. Note that I am working on a logit(proportion) scale and that the final vertical scale is Log10(percentage). (* some test data *) data = Table[Null, {i, 4}]; data[[1]] = {{1, -5.8}, {2, -5.4}, {3, -0.8}, {4, -0.2}, {5, 4.6}, {1, -6.4}, {2, -5.6}, {3, -0.7}, {4, 0.04}, {5, 1.0}, {1, -6.8}, {2, -4.7}, {3, -1.

Blog

Search This Blog