我已经成功安装了最新版本的Numpy,我使用的是Python 3.4,我不理解这个错误:
Traceback (most recent call last):
File "C:\Python34\LUdecomp.py", line 1, in <module>
import numpy as np
File "C:\Python34\lib\site-packages\numpy\__init__.py", line 170, in <module>
from . import add_newdocs
File "C:\Python34\lib\site-packages\numpy\add_newdocs.py", line 13, in <module>
from numpy.lib import add_newdoc
File "C:\Python34\lib\site-packages\numpy\lib\__init__.py", line 8, in <module>
from .type_check import *
File "C:\Python34\lib\site-packages\numpy\lib\type_check.py", line 11, in <module>
import numpy.core.numeric as _nx
File "C:\Python34\lib\site-packages\numpy\core\__init__.py", line 6, in <module>
from . import multiarray
ImportError: DLL load failed: %1 is not a valid Win32 application.
代码:
import numpy as np
from sys import argv
script, filename = argv
txt = open(filename)
header = txt.readline().split()
inputArray = map(float, txt.readline().split())
txt.close()
inputMat = np.mat(inputArray)
inputMat.reshape(int(header[0]), int(header[1]))
inputMat.shape()
#takes q2data as input
def lu(A):
#Decomposes a nxn matrix A by PA=LU and returns L, U and P.
n = len(A)
L = [[0.0] * n for i in xrange(n)]
U = [[0.0] * n for i in xrange(n)]
#Creates the pivoting matrix for m.
n = len(A)
ID = [[float(i == j) for i in xrange(n)] for j in xrange(n)]
for j in xrange(n):
row = max(xrange(j, n), key=lambda i: abs(A[i][j]))
if j != row:
ID[j], ID[row] = ID[row], ID[j]
p = ID
#perform matrix multplication
TA = zip(*A)
A2 = [[sum(eP*ea for eP,ea in zip(P,a)) for a in TA] for P in p]
for j in xrange(n):
L[j, j] = 1.0
for i in xrange(j+1):
s1 = sum(U[k, j] * L[i, k] for k in xrange(i))
U[i, j] = A2[i, j] - s1
for i in xrange(j, n):
s2 = sum(U[k, j] * L[i, k] for k in xrange(j))
L[i, j] = (A2[i, j] - s2) / U[j, j]
return (L, U, p)
print (lu(inputMat))
答案 0 :(得分:4)
您已经安装了64 bit
版本的numpy并使用了32 bit
版本的python,反之亦然。您可以从here
答案 1 :(得分:0)
我发现的聪明的解决方案是简单地进行 pip numpy升级, pip会卸载错误的32或64位安装,并提供所需的位安装。 此外,您可以指定所需的版本。