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[r7444]: / branches / mathtex / test / test_matplotlib / TestAxes.py  Maximize  Restore  History

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#=======================================================================
"""The Axes unit-test class implementation."""
#=======================================================================
from mplTest import *
#=======================================================================
# Add import modules below.
import matplotlib
matplotlib.use( "Agg", warn = False )
import pylab
import numpy as npy
from datetime import datetime
#
#=======================================================================
#=======================================================================
class TestAxes( MplTestCase ):
"""Test the various axes non-plotting methods."""
# Uncomment any appropriate tags
tags = [
# 'gui', # requires the creation of a gui window
'agg', # uses agg in the backend
'agg-only', # uses only agg in the backend
# 'wx', # uses wx in the backend
# 'qt', # uses qt in the backend
# 'ps', # uses the postscript backend
# 'units', # uses units in the test
'PIL', # uses PIL for image comparison
]
#--------------------------------------------------------------------
def setUp( self ):
"""Setup any data needed for the unit test."""
units.register()
#--------------------------------------------------------------------
def tearDown( self ):
"""Clean-up any generated files here."""
pass
#--------------------------------------------------------------------
def test_empty_datetime( self ):
"""Test plotting empty axes with dates along one axis."""
fname = self.outFile( "empty_datetime.png" )
t0 = datetime(2009, 1, 20)
tf = datetime(2009, 1, 21)
fig = pylab.figure()
pylab.axvspan( t0, tf, facecolor="blue", alpha=0.25 )
fig.autofmt_xdate()
fig.savefig( fname )
self.checkImage( fname )
#--------------------------------------------------------------------
def test_formatter_ticker( self ):
"""Test Some formatter and ticker issues."""
# This essentially test to see if user specified labels get overwritten
# by the auto labeler functionality of the axes.
xdata = [ x*units.sec for x in range(10) ]
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) ]
fname = self.outFile( "formatter_ticker_001.png" )
fig = pylab.figure()
ax = pylab.subplot( 111 )
ax.set_xlabel( "x-label 001" )
fig.savefig( fname )
self.checkImage( fname )
fname = self.outFile( "formatter_ticker_002.png" )
ax.plot( xdata, ydata1, color='blue', xunits="sec" )
fig.savefig( fname )
self.checkImage( fname )
fname = self.outFile( "formatter_ticker_003.png" )
ax.set_xlabel( "x-label 003" )
fig.savefig( fname )
self.checkImage( fname )
fname = self.outFile( "formatter_ticker_004.png" )
ax.plot( xdata, ydata2, color='green', xunits="hour" )
fig.savefig( fname )
self.checkImage( fname )
fname = self.outFile( "formatter_ticker_005.png" )
ax.set_xlabel( "x-label 005" )
ax.autoscale_view()
fig.savefig( fname )
self.checkImage( fname )
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