Re: [Matplotlib-users] Can't create graphs

2008-11-19 Thread John Hunter 
On Wed, Nov 19, 2008 at 1:22 PM, Goyo <[EMAIL PROTECTED]> wrote:
> Make sure yu're using a backend with a user interface.
>
> http://matplotlib.sourceforge.net/faq/installing_faq.html#what-is-a-backend

Also, you can get more verbose input at runtime with the --verbose-helpful flag:

> python histogram.py --verbose-helpful

This will tell you what backend you are running, where your
matplotlibrc file is (which controls the backend), etc.  See also

  http://matplotlib.sourceforge.net/faq/installing_faq.html

JDH

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Re: [Matplotlib-users] Can't create graphs

2008-11-19 Thread Goyo 
Make sure yu're using a backend with a user interface.

http://matplotlib.sourceforge.net/faq/installing_faq.html#what-is-a-backend

El mié, 19-11-2008 a las 10:49 -0500, Ron Brennan escribió:
> Hello,
> 
> I am completely new to Matplotlib.  I can't seem to get my script (a
> copy and paste from a Histogram example) to generate a graph. When I
> run my script, the command prompt returns.
> 
> Is there something I am missing?
> 
> # 
> # histogram.py 
> # 
> import numpy as np
> import matplotlib.mlab as mlab
> import matplotlib.pyplot as plt
> 
> mu, sigma = 100, 15
> x = mu + sigma*np.random.randn(1)
> 
> # the histogram of the data
> n, bins, patches = plt.hist(x, 50, normed=1, facecolor='green',
> alpha=0.75)
> 
> # add a 'best fit' line
> y = mlab.normpdf( bins, mu, sigma)
> l = plt.plot(bins, y, 'r--', linewidth=1)
> 
> plt.xlabel('Smarts')
> plt.ylabel('Probability')
> plt.title(r'$\mathrm{Histogram\ of\ IQ:}\ \mu=100,\ \sigma=15$')
> plt.axis([40, 160, 0, 0.03])
> plt.grid(True)
> 
> plt.show()
> 
> Calling with:
> python histogram.py
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[Matplotlib-users] Can't create graphs

2008-11-19 Thread Ron Brennan 
Hello,

I am completely new to Matplotlib.  I can't seem to get my script (a copy
and paste from a Histogram example) to generate a graph. When I run my
script, the command prompt returns.

Is there something I am missing?

#
# histogram.py
#
import numpy as np
import matplotlib.mlab as mlab
import matplotlib.pyplot as plt

mu, sigma = 100, 15
x = mu + sigma*np.random.randn(1)

# the histogram of the data
n, bins, patches = plt.hist(x, 50, normed=1, facecolor='green', alpha=0.75)

# add a 'best fit' line
y = mlab.normpdf( bins, mu, sigma)
l = plt.plot(bins, y, 'r--', linewidth=1)

plt.xlabel('Smarts')
plt.ylabel('Probability')
plt.title(r'$\mathrm{Histogram\ of\ IQ:}\ \mu=100,\ \sigma=15$')
plt.axis([40, 160, 0, 0.03])
plt.grid(True)

plt.show()

Calling with:
python histogram.py
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