Hi all,
Is there anyway of re-ploting the distribution generated by hist at a
later point? I want to call it in a subroutine and have the resulting
distributions returned so I can plot them without having to
recalculate them each time. I couldn't find anything int he online
documentation but I figured it'd be something like:
import matplotlib.pyplot as plt
hplot=plt.hist(data, bins=1000)
plt.hist(hplot)
or
plt.hist(hplot[0],bins=hplot[1])
or
plt.plot(hist)
etc, but nothing works.
Cheers,
Nick Schurch
Hi all,
Is there anyway of re-ploting the distribution generated by hist at a
later point? I want to call it in a subroutine and have the resulting
distributions returned so I can plot them without having to
recalculate them each time. I couldn't find anything int he online
documentation but I figured it'd be something like:
import matplotlib.pyplot as plt
hplot=plt.hist(data, bins=1000)
plt.hist(hplot)
or
plt.hist(hplot[0],bins=hplot[1])
or
plt.plot(hist)
etc, but nothing works.
···
--
Cheers,
Nick Schurch
Data Analysis Group (The Barton Group),
School of Life Sciences,
University of Dundee,
Dow St,
Dundee,
DD1 5EH,
Scotland,
UK
Tel: +44 1382 388707
Fax: +44 1382 345 893
Nick,
Check out this demo on the MPL website:
http://matplotlib.sourceforge.net/examples/api/histogram_demo.html
This line in particular:
n, bins, patches = ax.hist(x, 50, normed=...)
The variables 'n' and 'bins' can be fed into ax.bar() later on. I could swear that this was clear from the docstring, but that's definitely not the case anymore. I'll submit a patch to the list tomorrow if I can remember to work on it some tonight.
Do see the docstring for an explanation of what can be done with the 'patches' variable.
Hope this helps,
-paul
···
-----Original Message-----
From: Nick Schurch [mailto:N.Schurch@…2970…]
Sent: Tuesday, May 18, 2010 6:56 AM
To: matplotlib-users@lists.sourceforge.net
Subject: [Matplotlib-users] hist question...
Hi all,
Is there anyway of re-ploting the distribution generated by hist at a
later point? I want to call it in a subroutine and have the resulting
distributions returned so I can plot them without having to
recalculate them each time. I couldn't find anything int he online
documentation but I figured it'd be something like:
import matplotlib.pyplot as plt
hplot=plt.hist(data, bins=1000)
plt.hist(hplot)
or
plt.hist(hplot[0],bins=hplot[1])
or
plt.plot(hist)
etc, but nothing works.
--
Cheers,
Nick Schurch
Data Analysis Group (The Barton Group),
School of Life Sciences,
University of Dundee,
Dow St,
Dundee,
DD1 5EH,
Scotland,
UK
Tel: +44 1382 388707
Fax: +44 1382 345 893
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http://docs.scipy.org/doc/numpy/reference/generated/numpy.histogram.html
hth,
Alan Isaac
···
On 5/18/2010 9:53 AM, Nick Schurch wrote:
Is there anyway of re-ploting the distribution generated by hist at a
later point?