Hi, I need to know why the attached code works in one case and takes
forever to run in the other one.
I don't think I've done anything wrong and I tried everything that came
to my mind now.
If you use "x1 = mu + sigma * np.random.randn(1000)" instead of "x1 =
np.array([np.float64(val / 2.0) for val in x0], np.float64)"
Why doesn't this work if its the same array divided by 2 ?
Thanks,
Axel Gembe
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys, codecs
#import matplotlib
#matplotlib.use('Agg')
import numpy as np
import matplotlib.pyplot as plt
mu, sigma = 75, 25
x0 = mu + sigma * np.random.randn(3000)
# First one works, second one doesn't, why?
#x1 = mu + sigma * np.random.randn(1000)
x1 = np.array([np.float64(val / 2.0) for val in x0], np.float64)
print '%r' % x0
print '%s' % type(x0).__name__
print '%r' % x1
print '%s' % type(x1).__name__
n, bins, patches = plt.hist((x0, x1), bins = 25, normed = False, histtype =
'bar')
sys.stdout.flush()
sys.stdout = codecs.open("test.png", "wb", None)
plt.savefig(sys.stdout, filetype='png')
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