def _plot_impl(axes, workspace, args, kwargs):
"""
Compute data and labels for plot. Used by workspace
replacement handlers to recompute data. See plot for
argument details
"""
if 'LogName' in kwargs:
(x, y, FullTime, LogName, units,
kwargs) = get_sample_log(workspace, **kwargs)
axes.set_ylabel('{0} ({1})'.format(LogName, units))
axes.set_xlabel('Time (s)')
if FullTime:
axes.xaxis_date()
axes.xaxis.set_major_formatter(
mdates.DateFormatter('%H:%M:%S\n%b-%d'))
axes.set_xlabel('Time')
kwargs['linestyle'] = 'steps-post'
else:
normalize_by_bin_width, kwargs = get_normalize_by_bin_width(
workspace, axes, **kwargs)
x, y, _, _, indices, axis, kwargs = _get_data_for_plot(
axes, workspace, kwargs)
if kwargs.pop('update_axes_labels', True):
_setLabels1D(axes,
workspace,
indices,
normalize_by_bin_width=normalize_by_bin_width,
axis=axis)
return x, y, args, kwargs
def _plot_impl(axes, workspace, args, kwargs):
"""
Compute data and labels for plot. Used by workspace
replacement handlers to recompute data. See plot for
argument details
"""
if 'LogName' in kwargs:
(x, y, FullTime, LogName, units,
kwargs) = get_sample_log(workspace, **kwargs)
axes.set_ylabel('{0} ({1})'.format(LogName, units))
axes.set_xlabel('Time (s)')
if FullTime:
axes.xaxis_date()
axes.xaxis.set_major_formatter(
mdates.DateFormatter('%H:%M:%S\n%b-%d'))
axes.set_xlabel('Time')
kwargs['linestyle'] = 'steps-post'
else:
x, y, _, _, indices, kwargs = _get_data_for_plot(
axes, workspace, kwargs)
plot_as_distribution = on_off_to_bool(
config['graph1d.autodistribution'])
_setLabels1D(axes,
workspace,
indices,
plot_as_dist=plot_as_distribution)
return x, y, args, kwargs
def test_get_sample_logs(self):
x, y, FullTime, LogName, units, kwargs = funcs.get_sample_log(self.ws2d_histo, LogName='my_log', FullTime=True)
self.assertEqual(x[0], datetime.datetime(2010, 1, 1, 0, 0, 0))
self.assertEqual(x[1], datetime.datetime(2010, 1, 1, 0, 30, 0))
self.assertEqual(x[2], datetime.datetime(2010, 1, 1, 0, 50, 0))
np.testing.assert_allclose(y, np.array([100, 15, 100.2]))
self.assertTrue(FullTime)
self.assertEqual(LogName, 'my_log')
self.assertEqual(units, '')
self.assertEqual(kwargs, {})
def test_get_sample_logs(self):
x, y, FullTime, LogName, units, kwargs = funcs.get_sample_log(self.ws2d_histo,LogName='my_log', FullTime=True)
self.assertEquals(x[0],datetime.datetime(2010,1,1,0,0,0))
self.assertEquals(x[1],datetime.datetime(2010,1,1,0,30,0))
self.assertEquals(x[2],datetime.datetime(2010,1,1,0,50,0))
np.testing.assert_allclose(y, np.array([100,15,100.2]))
self.assertTrue(FullTime)
self.assertEquals(LogName, 'my_log')
self.assertEquals(units, '')
self.assertEquals(kwargs, {})
def test_get_sample_logs_with_relative_time_and_no_start_time(self):
x, y, FullTime, LogName, units, kwargs = funcs.get_sample_log(
self.ws2d_histo, LogName='my_log', FullTime=False)
self.assertEqual(x[0], 0)
self.assertEqual(x[1], 30 * 60)
self.assertEqual(x[2], 50 * 60)
np.testing.assert_allclose(y, np.array([100, 15, 100.2]))
self.assertFalse(FullTime)
self.assertEqual(LogName, 'my_log')
self.assertEqual(units, '')
self.assertEqual(kwargs, {})
def test_get_sample_logs_with_relative_time_and_start_time_later_than_first_log(
self):
start_time = "2010-01-01T00:00:19"
AddSampleLog(self.ws2d_histo, LogName='run_start', LogText=start_time)
x, y, FullTime, LogName, units, kwargs = funcs.get_sample_log(
self.ws2d_histo, LogName='my_log', FullTime=False)
self.assertEqual(x[0], -19)
self.assertEqual(x[1], 1781)
self.assertEqual(x[2], 2981)
np.testing.assert_allclose(y, np.array([100, 15, 100.2]))
self.assertFalse(FullTime)
self.assertEqual(LogName, 'my_log')
self.assertEqual(units, '')
self.assertEqual(kwargs, {})
def _plot_impl(axes, workspace, args, kwargs):
"""
Compute data and labels for plot. Used by workspace
replacement handlers to recompute data. See plot for
argument details
"""
if 'LogName' in kwargs:
(x, y, FullTime, LogName, units, kwargs) = get_sample_log(workspace, **kwargs)
axes.set_ylabel('{0} ({1})'.format(LogName, units))
axes.set_xlabel('Time (s)')
if FullTime:
axes.xaxis_date()
axes.xaxis.set_major_formatter(mdates.DateFormatter('%H:%M:%S\n%b-%d'))
axes.set_xlabel('Time')
kwargs['linestyle'] = 'steps-post'
else:
x, y, _, _, indices, kwargs = _get_data_for_plot(axes, workspace, kwargs)
_setLabels1D(axes, workspace, indices)
return x, y, args, kwargs
