Revision: 5430
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=5430&view=rev
Author: mmetz_bn
Date: 2008-06-09 05:13:20 -0700 (Mon, 09 Jun 2008)
Log Message:
-----------
Added range keyword arg to hist()
Modified Paths:
--------------
trunk/matplotlib/CHANGELOG
trunk/matplotlib/lib/matplotlib/axes.py
Modified: trunk/matplotlib/CHANGELOG
===================================================================
--- trunk/matplotlib/CHANGELOG 2008-06-09 07:22:56 UTC (rev 5429)
+++ trunk/matplotlib/CHANGELOG 2008-06-09 12:13:20 UTC (rev 5430)
@@ -1,4 +1,6 @@
-2008=06-07 Moved list of backends to rcsetup.py; made use of lower
+2008-06-09 Added range keyword arg to hist() - MM
+
+2008-06-07 Moved list of backends to rcsetup.py; made use of lower
case for backend names consistent; use validate_backend
when importing backends subpackage - EF
Modified: trunk/matplotlib/lib/matplotlib/axes.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/axes.py 2008-06-09 07:22:56 UTC (rev
5429)
+++ trunk/matplotlib/lib/matplotlib/axes.py 2008-06-09 12:13:20 UTC (rev
5430)
@@ -5649,7 +5649,7 @@
#### Data analysis
- def hist(self, x, bins=10, normed=False, cumulative=False,
+ def hist(self, x, bins=10, range=None, normed=False, cumulative=False,
bottom=None, histtype='bar', align='mid',
orientation='vertical', rwidth=None, log=False, **kwargs):
"""
@@ -5669,6 +5669,10 @@
either an integer number of bins or a sequence giving the
bins. x are the data to be binned. x can be an array or a 2D
array with multiple data in its columns.
+
+ range:
+ The lower and upper range of the bins. Lower and upper outliers
+ are ignored. If not provided, range is (x.min(), x.max()).
normed:
if True, the first element of the return tuple will
@@ -5742,11 +5746,11 @@
for i in xrange(x.shape[1]):
# this will automatically overwrite bins,
# so that each histogram uses the same bins
- m, bins = np.histogram(x[:,i], bins, range=None,
+ m, bins = np.histogram(x[:,i], bins, range=range,
normed=bool(normed), new=True)
n.append(m)
else:
- n, bins = np.histogram(x, bins, range=None,
+ n, bins = np.histogram(x, bins, range=range,
normed=bool(normed), new=True)
n = [n,]
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