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#=======================================================================
"""The Span 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 TestSpan( MplTestCase ):
"""Test the various axes spanning 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_axvspan_epoch( self ):
"""Test the axvspan method with Epochs."""
fname = self.outFile( "axvspan_epoch.png" )
# generate some data
t0 = units.Epoch( "ET", dt=datetime(2009, 1, 20) )
tf = units.Epoch( "ET", dt=datetime(2009, 1, 21) )
dt = units.Duration( "ET", units.day.convert( "sec" ) )
fig = pylab.figure()
pylab.axvspan( t0, tf, facecolor="blue", alpha=0.25 )
ax = pylab.gca()
ax.set_xlim( t0 - 5.0*dt, tf + 5.0*dt )
fig.savefig( fname )
self.checkImage( fname )
#--------------------------------------------------------------------
def test_axhspan_epoch( self ):
"""Test the axhspan method with Epochs."""
fname = self.outFile( "axhspan_epoch.png" )
# generate some data
t0 = units.Epoch( "ET", dt=datetime(2009, 1, 20) )
tf = units.Epoch( "ET", dt=datetime(2009, 1, 21) )
dt = units.Duration( "ET", units.day.convert( "sec" ) )
fig = pylab.figure()
pylab.axhspan( t0, tf, facecolor="blue", alpha=0.25 )
ax = pylab.gca()
ax.set_ylim( t0 - 5.0*dt, tf + 5.0*dt )
fig.savefig( fname )
self.checkImage( fname )
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