Revision: 7737
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=7737&view=rev
Author: jdh2358
Date: 2009-09-11 01:26:41 +0000 (Fri, 11 Sep 2009)
Log Message:
-----------
add test to expose hexbin extent bug #2856228
Modified Paths:
--------------
trunk/matplotlib/lib/matplotlib/tests/test_axes.py
Modified: trunk/matplotlib/lib/matplotlib/tests/test_axes.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/tests/test_axes.py 2009-09-10 23:52:54 UTC
(rev 7736)
+++ trunk/matplotlib/lib/matplotlib/tests/test_axes.py 2009-09-11 01:26:41 UTC
(rev 7737)
@@ -2,8 +2,8 @@
import matplotlib
from matplotlib.testing.decorators import image_comparison, knownfailureif
import matplotlib.pyplot as plt
-import pylab
+
@image_comparison(baseline_images=['formatter_ticker_001',
'formatter_ticker_002',
'formatter_ticker_003',
@@ -20,8 +20,8 @@
ydata1 = [ (1.5*y - 0.5)*units.km for y in range(10) ]
ydata2 = [ (1.75*y - 1.0)*units.km for y in range(10) ]
- fig = pylab.figure()
- ax = pylab.subplot( 111 )
+ fig = plt.figure()
+ ax = plt.subplot( 111 )
ax.set_xlabel( "x-label 001" )
fig.savefig( 'formatter_ticker_001' )
@@ -49,7 +49,7 @@
# Offset Points
- fig = pylab.figure()
+ fig = plt.figure()
ax = fig.add_subplot( 111, autoscale_on=False, xlim=(-1,5), ylim=(-3,5) )
line, = ax.plot( t, s, lw=3, color='purple' )
@@ -74,7 +74,7 @@
r = np.arange(0.0, 1.0, 0.001 )
theta = 2.0 * 2.0 * np.pi * r
- fig = pylab.figure()
+ fig = plt.figure()
ax = fig.add_subplot( 111, polar=True )
line, = ax.plot( theta, r, color='#ee8d18', lw=3 )
@@ -102,7 +102,7 @@
from matplotlib.patches import Ellipse
el = Ellipse((0,0), 10, 20, facecolor='r', alpha=0.5)
- fig = pylab.figure()
+ fig = plt.figure()
ax = fig.add_subplot( 111, aspect='equal' )
ax.add_artist( el )
@@ -134,7 +134,7 @@
value = 10.0 * units.deg
day = units.Duration( "ET", 24.0 * 60.0 * 60.0 )
- fig = pylab.figure()
+ fig = plt.figure()
# Top-Left
ax1 = fig.add_subplot( 221 )
@@ -166,12 +166,12 @@
@image_comparison(baseline_images=['single_point'])
def test_single_point():
- fig = pylab.figure()
- pylab.subplot( 211 )
- pylab.plot( [0], [0], 'o' )
+ fig = plt.figure()
+ plt.subplot( 211 )
+ plt.plot( [0], [0], 'o' )
- pylab.subplot( 212 )
- pylab.plot( [1], [1], 'o' )
+ plt.subplot( 212 )
+ plt.plot( [1], [1], 'o' )
fig.savefig( 'single_point' )
@@ -180,12 +180,12 @@
time1=[ 721964.0 ]
data1=[ -65.54 ]
- fig = pylab.figure()
- pylab.subplot( 211 )
- pylab.plot_date( time1, data1, 'o', color='r' )
+ fig = plt.figure()
+ plt.subplot( 211 )
+ plt.plot_date( time1, data1, 'o', color='r' )
- pylab.subplot( 212 )
- pylab.plot( time1, data1, 'o', color='r' )
+ plt.subplot( 212 )
+ plt.plot( time1, data1, 'o', color='r' )
fig.savefig( 'single_date' )
@@ -218,33 +218,33 @@
y2 = np.arange( 10 )
y2.shape = 10, 1
- fig = pylab.figure()
- pylab.subplot( 411 )
- pylab.plot( y1 )
- pylab.subplot( 412 )
- pylab.plot( y2 )
+ fig = plt.figure()
+ plt.subplot( 411 )
+ plt.plot( y1 )
+ plt.subplot( 412 )
+ plt.plot( y2 )
- pylab.subplot( 413 )
+ plt.subplot( 413 )
from nose.tools import assert_raises
- assert_raises(ValueError,pylab.plot, (y1,y2))
+ assert_raises(ValueError,plt.plot, (y1,y2))
- pylab.subplot( 414 )
- pylab.plot( xdata[:,1], xdata[1,:], 'o' )
+ plt.subplot( 414 )
+ plt.plot( xdata[:,1], xdata[1,:], 'o' )
fig.savefig( 'shaped data' )
@image_comparison(baseline_images=['const_xy'])
def test_const_xy():
- fig = pylab.figure()
+ fig = plt.figure()
- pylab.subplot( 311 )
- pylab.plot( np.arange(10), np.ones( (10,) ) )
+ plt.subplot( 311 )
+ plt.plot( np.arange(10), np.ones( (10,) ) )
- pylab.subplot( 312 )
- pylab.plot( np.ones( (10,) ), np.arange(10) )
+ plt.subplot( 312 )
+ plt.plot( np.ones( (10,) ), np.arange(10) )
- pylab.subplot( 313 )
- pylab.plot( np.ones( (10,) ), np.ones( (10,) ), 'o' )
+ plt.subplot( 313 )
+ plt.plot( np.ones( (10,) ), np.ones( (10,) ), 'o' )
fig.savefig( 'const_xy' )
@@ -254,24 +254,24 @@
def test_polar_wrap():
D2R = np.pi / 180.0
- fig = pylab.figure()
+ fig = plt.figure()
#NOTE: resolution=1 really should be the default
- pylab.subplot( 111, polar=True, resolution=1 )
- pylab.polar( [179*D2R, -179*D2R], [0.2, 0.1], "b.-" )
- pylab.polar( [179*D2R, 181*D2R], [0.2, 0.1], "g.-" )
- pylab.rgrids( [0.05, 0.1, 0.15, 0.2, 0.25, 0.3] )
+ plt.subplot( 111, polar=True, resolution=1 )
+ plt.polar( [179*D2R, -179*D2R], [0.2, 0.1], "b.-" )
+ plt.polar( [179*D2R, 181*D2R], [0.2, 0.1], "g.-" )
+ plt.rgrids( [0.05, 0.1, 0.15, 0.2, 0.25, 0.3] )
fig.savefig( 'polar_wrap_180' )
- fig = pylab.figure()
+ fig = plt.figure()
#NOTE: resolution=1 really should be the default
- pylab.subplot( 111, polar=True, resolution=1 )
- pylab.polar( [2*D2R, -2*D2R], [0.2, 0.1], "b.-" )
- pylab.polar( [2*D2R, 358*D2R], [0.2, 0.1], "g.-" )
- pylab.polar( [358*D2R, 2*D2R], [0.2, 0.1], "r.-" )
- pylab.rgrids( [0.05, 0.1, 0.15, 0.2, 0.25, 0.3] )
+ plt.subplot( 111, polar=True, resolution=1 )
+ plt.polar( [2*D2R, -2*D2R], [0.2, 0.1], "b.-" )
+ plt.polar( [2*D2R, 358*D2R], [0.2, 0.1], "g.-" )
+ plt.polar( [358*D2R, 2*D2R], [0.2, 0.1], "r.-" )
+ plt.rgrids( [0.05, 0.1, 0.15, 0.2, 0.25, 0.3] )
fig.savefig( 'polar_wrap_360' )
@@ -289,9 +289,9 @@
y1 = [ 1.0, 2.0, 3.0, 4.0]
y2 = [ 4.0, 3.0, 2.0, 1.0 ]
- fig = pylab.figure()
+ fig = plt.figure()
- pylab.polar( x2, y1, color = "blue" )
+ plt.polar( x2, y1, color = "blue" )
# polar( x2, y1, color = "red", xunits="rad" )
# polar( x2, y2, color = "green" )
@@ -310,11 +310,11 @@
dt = units.Duration( "ET", units.day.convert( "sec" ) )
- fig = pylab.figure()
+ fig = plt.figure()
- pylab.axvspan( t0, tf, facecolor="blue", alpha=0.25 )
+ plt.axvspan( t0, tf, facecolor="blue", alpha=0.25 )
- ax = pylab.gca()
+ ax = plt.gca()
ax.set_xlim( t0 - 5.0*dt, tf + 5.0*dt )
fig.savefig( 'axvspan_epoch' )
@@ -331,11 +331,31 @@
dt = units.Duration( "ET", units.day.convert( "sec" ) )
- fig = pylab.figure()
+ fig = plt.figure()
- pylab.axhspan( t0, tf, facecolor="blue", alpha=0.25 )
+ plt.axhspan( t0, tf, facecolor="blue", alpha=0.25 )
- ax = pylab.gca()
+ ax = plt.gca()
ax.set_ylim( t0 - 5.0*dt, tf + 5.0*dt )
fig.savefig( 'axhspan_epoch' )
+
+
+...@image_comparison(baseline_images=['hexbin_extent'])
+def test_hexbin_extent():
+ # this test exposes sf bug 2856228
+ fig = plt.figure()
+
+ ax = fig.add_subplot(111)
+ data = np.arange(2000.)
+ data.shape = 2, 1000
+ x, y = data
+
+ ax.hexbin(x, y, extent=[-.4, .4, -.4, .4])
+ fig.savefig('hexbin_extent')
+
+
+
+if __name__=='__main__':
+ import nose
+ nose.runmodule(argv=['-s','--with-doctest'], exit=False)
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