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# Mantid Repository : https://github.com/mantidproject/mantid
# Copyright © 2018 ISIS Rutherford Appleton Laboratory UKRI,
# NScD Oak Ridge National Laboratory, European Spallation Source,
# Institut Laue - Langevin & CSNS, Institute of High Energy Physics, CAS
# SPDX - License - Identifier: GPL - 3.0 +
# This file is part of the mantid workbench.
from __future__ import absolute_import
# std imports
from unittest import TestCase, main
# third party imports
matplotlib.use('AGG') # noqa
import matplotlib.pyplot as plt
import numpy as np
# register mantid projection
import mantid.plots # noqa
from mantid.api import AnalysisDataService, WorkspaceFactory
from mantid.simpleapi import CreateWorkspace
from mantid.kernel import config
from mantid.plots import MantidAxes
from mantid.py3compat import mock
from mantidqt.dialogs.spectraselectordialog import SpectraSelection
from mantidqt.plotting.functions import (can_overplot, current_figure_or_none, figure_title,
manage_workspace_names, plot, plot_from_names,
pcolormesh_from_names)
# Avoid importing the whole of mantid for a single mock of the workspace class
class FakeWorkspace(object):
def __init__(self, name):
self._name = name
def name(self):
return self._name
@manage_workspace_names
def workspace_names_dummy_func(workspaces):
return workspaces
class FunctionsTest(TestCase):
_test_ws = None
def setUp(self):
if self._test_ws is None:
self.__class__._test_ws = WorkspaceFactory.Instance().create(
"Workspace2D", NVectors=2, YLength=5, XLength=5)
def tearDown(self):
AnalysisDataService.Instance().clear()
def test_can_overplot_returns_false_with_no_active_plots(self):
self.assertFalse(can_overplot()[0])
def test_can_overplot_returns_true_for_active_line_plot(self):
plt.plot([1, 2])
self.assertTrue(can_overplot()[0])
def test_can_overplot_returns_false_for_active_patch_plot(self):
plt.pcolormesh(np.arange(9.).reshape(3, 3))
allowed, msg = can_overplot()
self.assertFalse(allowed)
self.assertGreater(len(msg), 0)
def test_current_figure_or_none_returns_none_if_no_figures_exist(self):
self.assertEqual(current_figure_or_none(), None)
def test_figure_title_with_single_string(self):
self.assertEqual("test-1", figure_title("test", 1))
def test_figure_title_with_list_of_strings(self):
self.assertEqual("first-10", figure_title(["first", "second"], 10))
def test_figure_title_with_single_workspace(self):
self.assertEqual("fake-5", figure_title(FakeWorkspace("fake"), 5))
def test_figure_title_with_workspace_list(self):
self.assertEqual("fake-10", figure_title((FakeWorkspace("fake"),
FakeWorkspace("nextfake")), 10))
def test_figure_title_with_empty_list_raises_assertion(self):
with self.assertRaises(AssertionError):
figure_title([], 5)
def test_that_plot_can_accept_workspace_names(self):
ws_name1 = "some_workspace"
AnalysisDataService.Instance().addOrReplace(ws_name1, self._test_ws)
try:
result_workspaces = workspace_names_dummy_func([ws_name1])
except ValueError:
self.fail("Passing workspace names should not raise a value error.")
else:
# The list of workspace names we pass in should have been converted
# to a list of workspaces
self.assertNotEqual(result_workspaces, [ws_name1])
@mock.patch('mantidqt.plotting.functions.get_spectra_selection')
@mock.patch('mantidqt.plotting.functions.plot')
def test_plot_from_names_calls_plot(self, get_spectra_selection_mock, plot_mock):
ws_name = 'test_plot_from_names_calls_plot-1'
AnalysisDataService.Instance().addOrReplace(ws_name, self._test_ws)
selection = SpectraSelection([self._test_ws])
selection.wksp_indices = [0]
get_spectra_selection_mock.return_value = selection
plot_from_names([ws_name], errors=False, overplot=False)
self.assertEqual(1, plot_mock.call_count)
@mock.patch('mantidqt.plotting.functions.get_spectra_selection')
def test_plot_from_names_produces_single_line_plot_for_valid_name(self, get_spectra_selection_mock):
self._do_plot_from_names_test(get_spectra_selection_mock, expected_labels=["spec 1"], wksp_indices=[0],
errors=False, overplot=False)
@mock.patch('mantidqt.plotting.functions.get_spectra_selection')
def test_plot_from_names_produces_single_error_plot_for_valid_name(self, get_spectra_selection_mock):
fig = self._do_plot_from_names_test(get_spectra_selection_mock,
# matplotlib does not set labels on the lines for error plots
wksp_indices=[0], errors=True, overplot=False)
self.assertEqual(1, len(fig.gca().containers))
@mock.patch('mantidqt.plotting.functions.get_spectra_selection')
def test_plot_from_names_produces_overplot_for_valid_name(self, get_spectra_selection_mock):
# make first plot
plot([self._test_ws], wksp_indices=[0])
self._do_plot_from_names_test(get_spectra_selection_mock, expected_labels=["spec 1", "spec 2"],
wksp_indices=[1], errors=False, overplot=True)
@mock.patch('mantidqt.plotting.functions.get_spectra_selection')
def test_plot_from_names_within_existing_figure(self, get_spectra_selection_mock):
# make existing plot
fig = plot([self._test_ws], wksp_indices=[0])
self._do_plot_from_names_test(get_spectra_selection_mock, expected_labels=["spec 1", "spec 2"],
wksp_indices=[1], errors=False, overplot=True,
target_fig=fig)
@mock.patch('mantidqt.plotting.functions.pcolormesh')
def test_pcolormesh_from_names_calls_pcolormesh(self, pcolormesh_mock):
ws_name = 'test_pcolormesh_from_names_calls_pcolormesh-1'
AnalysisDataService.Instance().addOrReplace(ws_name, self._test_ws)
pcolormesh_from_names([ws_name])
self.assertEqual(1, pcolormesh_mock.call_count)
def test_scale_is_correct_on_pcolourmesh_of_ragged_workspace(self):
ws = CreateWorkspace(DataX=[1, 2, 3, 4, 2, 4, 6, 8], DataY=[2] * 8, NSpec=2)
fig = pcolormesh_from_names([ws])
self.assertEqual((1.8, 2.2), fig.axes[0].images[0].get_clim())
def test_pcolormesh_from_names(self):
ws_name = 'test_pcolormesh_from_names-1'
AnalysisDataService.Instance().addOrReplace(ws_name, self._test_ws)
fig = pcolormesh_from_names([ws_name])
def test_pcolormesh_from_names_using_existing_figure(self):
ws_name = 'test_pcolormesh_from_names-1'
AnalysisDataService.Instance().addOrReplace(ws_name, self._test_ws)
target_fig = plt.figure()
fig = pcolormesh_from_names([ws_name], fig=target_fig)
self.assertEqual(fig, target_fig)
def test_workspace_can_be_plotted_on_top_of_scripted_plots(self):
fig = plt.figure()
plt.plot([0, 1], [0, 1])
ws = self._test_ws
plot([ws], wksp_indices=[1], fig=fig, overplot=True)
ax = plt.gca()
self.assertEqual(len(ax.lines), 2)
def test_title_preserved_when_workspace_plotted_on_scripted_plot(self):
fig = plt.figure()
plt.plot([0, 1], [0, 1])
plt.title("My Title")
ws = self._test_ws
plot([ws], wksp_indices=[1], fig=fig, overplot=True)
ax = plt.gca()
self.assertEqual("My Title", ax.get_title())
def test_different_line_colors_when_plotting_over_scripted_fig(self):
fig = plt.figure()
plt.plot([0, 1], [0, 1])
ws = self._test_ws
plot([ws], wksp_indices=[1], fig=fig, overplot=True)
ax = plt.gca()
line_colors = [line.get_color() for line in ax.get_lines()]
self.assertNotEqual(line_colors[0], line_colors[1])
def test_workspace_tracked_when_plotting_over_scripted_fig(self):
fig = plt.figure()
plt.plot([0, 1], [0, 1])
ws = self._test_ws
plot([ws], wksp_indices=[1], fig=fig, overplot=True)
ax = plt.gca()
self.assertIn(ws.name(), ax.tracked_workspaces)
def test_from_mpl_axes_success_with_default_args(self):
plt.figure()
plt.plot([0, 1], [0, 1])
plt.plot([0, 2], [0, 2])
ax = plt.gca()
mantid_ax = MantidAxes.from_mpl_axes(ax)
self.assertEqual(len(mantid_ax.lines), 2)
self.assertIsInstance(mantid_ax, MantidAxes)
def test_that_plot_spectrum_has_same_y_label_with_and_without_errorbars(self):
auto_dist = config['graph1d.autodistribution']
try:
config['graph1d.autodistribution'] = 'Off'
self._compare_errorbar_labels_and_title()
finally:
config['graph1d.autodistribution'] = auto_dist
def test_that_plot_spectrum_has_same_y_label_with_and_without_errorbars_normalize_by_bin_width(self):
auto_dist = config['graph1d.autodistribution']
try:
config['graph1d.autodistribution'] = 'On'
self._compare_errorbar_labels_and_title()
finally:
config['graph1d.autodistribution'] = auto_dist
def test_setting_waterfall_to_true_makes_waterfall_plot(self):
fig = plt.figure()
ws = self._test_ws
plot([ws], wksp_indices=[0,1], fig=fig, waterfall=True)
ax = plt.gca()
self.assertTrue(ax.is_waterfall())
def test_cannot_make_waterfall_plot_with_one_line(self):
fig = plt.figure()
ws = self._test_ws
plot([ws], wksp_indices=[1], fig=fig, waterfall=True)
ax = plt.gca()
self.assertFalse(ax.is_waterfall())
def test_overplotting_onto_waterfall_plot_maintains_waterfall(self):
fig = plt.figure()
ws = self._test_ws
plot([ws], wksp_indices=[0,1], fig=fig, waterfall=True)
# Overplot one of the same lines.
plot([ws], wksp_indices=[0], fig=fig, overplot=True)
ax = plt.gca()
# Check that the lines which would be the same in a non-waterfall plot are different.
self.assertNotEqual(ax.get_lines()[0].get_xdata()[0], ax.get_lines()[2].get_xdata()[0])
self.assertNotEqual(ax.get_lines()[0].get_ydata()[0], ax.get_lines()[2].get_ydata()[0])
def test_overplotting_onto_waterfall_plot_with_filled_areas_adds_another_filled_area(self):
fig = plt.figure()
ws = self._test_ws
plot([ws], wksp_indices=[0, 1], fig=fig, waterfall=True)
ax = plt.gca()
ax.set_waterfall_fill(True)
plot([ws], wksp_indices=[0], fig=fig, overplot=True)
fills = [collection for collection in ax.collections
if isinstance(collection, matplotlib.collections.PolyCollection)]
self.assertEqual(len(fills), 3)
# ------------- Failure tests -------------
def test_plot_from_names_with_non_plottable_workspaces_returns_None(self):
table = WorkspaceFactory.Instance().createTable()
table_name = 'test_plot_from_names_with_non_plottable_workspaces_returns_None'
AnalysisDataService.Instance().addOrReplace(table_name, table)
result = plot_from_names([table_name], errors=False, overplot=False)
self.assertEqual(result, None)
def test_pcolormesh_from_names_with_non_plottable_workspaces_returns_None(self):
table = WorkspaceFactory.Instance().createTable()
table_name = 'test_pcolormesh_from_names_with_non_plottable_workspaces_returns_None'
AnalysisDataService.Instance().addOrReplace(table_name, table)
result = pcolormesh_from_names([table_name])
self.assertEqual(result, None)
def test_that_manage_workspace_names_raises_on_mix_of_workspaces_and_names(self):
ws = ["some_workspace", self._test_ws]
AnalysisDataService.Instance().addOrReplace("some_workspace", self._test_ws)
self.assertRaises(TypeError, workspace_names_dummy_func(ws))
# ------------- Private -------------------
def _do_plot_from_names_test(self, get_spectra_selection_mock, expected_labels,
wksp_indices, errors, overplot, target_fig=None):
ws_name = 'test_plot_from_names-1'
AnalysisDataService.Instance().addOrReplace(ws_name, self._test_ws)
selection = SpectraSelection([self._test_ws])
selection.wksp_indices = wksp_indices
get_spectra_selection_mock.return_value = selection
fig = plot_from_names([ws_name], errors, overplot, target_fig)
if target_fig is not None:
self.assertEqual(target_fig, fig)
plotted_lines = fig.gca().get_legend().get_lines()
self.assertEqual(len(expected_labels), len(plotted_lines))
for label_part, line in zip(expected_labels, plotted_lines):
if label_part is not None:
self.assertTrue(label_part in line.get_label(),
msg="Label fragment '{}' not found in line label".format(label_part))
return fig
def _compare_errorbar_labels_and_title(self):
ws = self._test_ws
ws.setYUnitLabel("MyLabel")
ws.getAxis(0).setUnit("TOF")
for distribution_ws in [True, False]:
ws.setDistribution(distribution_ws)
ax = plot([ws], wksp_indices=[1]).get_axes()[0]
err_ax = plot([ws], wksp_indices=[1], errors=True).get_axes()[0]
# Compare y-labels
self.assertEqual(ax.get_ylabel(), err_ax.get_ylabel())
# Compare x-labels
self.assertEqual(ax.get_xlabel(), err_ax.get_xlabel())
# Compare title
self.assertEqual(ax.get_title(), err_ax.get_title())
