Revision: 8354
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=8354&view=rev
Author: efiring
Date: 2010-05-31 23:05:55 +0000 (Mon, 31 May 2010)
Log Message:
-----------
Axes.hist: fix auto range selection with multiple datasets. Close 2976990.
Modified Paths:
--------------
trunk/matplotlib/lib/matplotlib/axes.py
Modified: trunk/matplotlib/lib/matplotlib/axes.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/axes.py 2010-05-31 21:59:06 UTC (rev
8353)
+++ trunk/matplotlib/lib/matplotlib/axes.py 2010-05-31 23:05:55 UTC (rev
8354)
@@ -7230,9 +7230,9 @@
are ignored. If not provided, *range* is (x.min(), x.max()).
Range has no effect if *bins* is a sequence.
- If *bins* is a sequence or *range* is specified, autoscaling is
- set off (*autoscale_on* is set to *False*) and the xaxis limits
- are set to encompass the full specified bin range.
+ If *bins* is a sequence or *range* is specified, autoscaling
+ is based on the specified bin range instead of the
+ range of x.
*normed*:
If *True*, the first element of the return tuple will
@@ -7395,9 +7395,6 @@
else:
w = [None]*nx
- # Check whether bins or range are given explicitly. In that
- # case use those values for autoscaling.
- binsgiven = (cbook.iterable(bins) or range != None)
# Save autoscale state for later restoration; turn autoscaling
# off so we can do it all a single time at the end, instead
@@ -7410,7 +7407,21 @@
# Save the datalimits for the same reason:
_saved_bounds = self.dataLim.bounds
+ # Check whether bins or range are given explicitly. In that
+ # case use those values for autoscaling.
+ binsgiven = (cbook.iterable(bins) or range != None)
+ # If bins are not specified either explicitly or via range,
+ # we need to figure out the range required for all datasets,
+ # and supply that to np.histogram.
+ if not binsgiven:
+ xmin = np.inf
+ xmax = -np.inf
+ for xi in x:
+ xmin = min(xmin, xi.min())
+ xmax = max(xmax, xi.max())
+ range = (xmin, xmax)
+
hist_kwargs = dict(range=range, normed=bool(normed))
if np.__version__ < "1.3": # version 1.1 and 1.2
hist_kwargs['new'] = True
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