Revision: 8874
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=8874&view=rev
Author: jdh2358
Date: 2011-01-03 18:43:48 +0000 (Mon, 03 Jan 2011)
Log Message:
-----------
turn off redundant tick labeling in pyplot.subplots
Modified Paths:
--------------
trunk/matplotlib/CHANGELOG
trunk/matplotlib/lib/matplotlib/pyplot.py
Modified: trunk/matplotlib/CHANGELOG
===================================================================
--- trunk/matplotlib/CHANGELOG 2011-01-03 14:53:20 UTC (rev 8873)
+++ trunk/matplotlib/CHANGELOG 2011-01-03 18:43:48 UTC (rev 8874)
@@ -1,3 +1,6 @@
+2011-01-03 Turn off tick labeling on interior subplots for
+ pyplots.subplots when sharex/sharey is True. - JDH
+
2010-12-29 Implment axes_divider.HBox and VBox. -JJL
2010-11-22 Fixed error with Hammer projection. - BVR
Modified: trunk/matplotlib/lib/matplotlib/pyplot.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/pyplot.py 2011-01-03 14:53:20 UTC (rev
8873)
+++ trunk/matplotlib/lib/matplotlib/pyplot.py 2011-01-03 18:43:48 UTC (rev
8874)
@@ -684,10 +684,14 @@
Number of columns of the subplot grid. Defaults to 1.
sharex : bool
- If True, the X axis will be shared amongst all subplots.
+ If True, the X axis will be shared amongst all subplots. If
+ True and you have multiple rows, the x tick labels on all but
+ the last row of plots will have visible set to False
- sharex : bool
- If True, the Y axis will be shared amongst all subplots.
+ sharey : bool
+ If True, the Y axis will be shared amongst all subplots. If
+ True and you have multiple columns, the y tick labels on all but
+ the first column of plots will have visible set to False
squeeze : bool
@@ -760,19 +764,39 @@
for i in range(1, nplots):
axarr[i] = fig.add_subplot(nrows, ncols, i+1, **subplot_kw)
+
+
+ # returned axis array will be always 2-d, even if nrows=ncols=1
+ axarr = axarr.reshape(nrows, ncols)
+
+
+ # turn off redundant tick labeling
+ if sharex and nrows>1:
+ # turn off all but the bottom row
+ for ax in axarr[:-1,:].flat:
+ for label in ax.get_xticklabels():
+ label.set_visible(False)
+
+
+ if sharey and ncols>1:
+ # turn off all but the first column
+ for ax in axarr[:,1:].flat:
+ for label in ax.get_yticklabels():
+ label.set_visible(False)
+
if squeeze:
# Reshape the array to have the final desired dimension (nrow,ncol),
# though discarding unneeded dimensions that equal 1. If we only have
# one subplot, just return it instead of a 1-element array.
if nplots==1:
- return fig, axarr[0]
+ ret = fig, axarr[0,0]
else:
- return fig, axarr.reshape(nrows, ncols).squeeze()
- else:
- # returned axis array will be always 2-d, even if nrows=ncols=1
- return fig, axarr.reshape(nrows, ncols)
+ ret = fig, axarr.squeeze()
+ return ret
+
+
from gridspec import GridSpec
def subplot2grid(shape, loc, rowspan=1, colspan=1, **kwargs):
"""
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