python 测试numpy和scipy设置
Posted
tags:
篇首语:本文由小常识网(cha138.com)小编为大家整理,主要介绍了python 测试numpy和scipy设置相关的知识,希望对你有一定的参考价值。
#!/usr/bin/env python
import timeit
setup = "import numpy;\
import scipy.linalg as linalg;\
x = numpy.random.random((1000,1000));\
z = numpy.dot(x, x.T)"
count = 5
t = timeit.Timer("linalg.cholesky(z, lower=True)", setup=setup)
print "cholesky:", t.timeit(count)/count, "sec"
t = timeit.Timer("linalg.svd(z)", setup=setup)
print "svd:", t.timeit(count)/count, "sec"
#!/usr/bin/env python
import numpy
import sys
import timeit
try:
import numpy.core._dotblas
print 'FAST BLAS'
except ImportError:
print 'slow blas'
print "version:", numpy.__version__
print "maxint:", sys.maxint
print
x = numpy.random.random((1000,1000))
setup = "import numpy; x = numpy.random.random((1000,1000))"
count = 5
t = timeit.Timer("numpy.dot(x, x.T)", setup=setup)
print "dot:", t.timeit(count)/count, "sec"
以上是关于python 测试numpy和scipy设置的主要内容,如果未能解决你的问题,请参考以下文章
Windows下python virtualenv使用,镜像源设置,批量安装,安装scipy,numpy
为 numpy、scipy 和 matplotlib 的 intersphinx 链接指定目标
python库安装(numpy+scipy+matplotlib+scikit_learn)
将 python、numpy 和 scipy 代码转换为 C++ 兼容代码?
Python地理数据处理环境的搭建和准备(numpy,scipy,matplotlib)
Windows下Python安装numpy+mkl,Scipy和statsmodels