def test_edit_colormap_02_custom(self):
cmap = get_cmap('Blues')
dialog = pswc.ColormapDialog(cmap)
self.assertEqual(dialog.table.rowCount(), 1)
dialog.table.selectRow(0)
self.assertIsInstance(dialog.table.chosen_colormap, mcol.Colormap)
self.assertColormapEqual(dialog.table.chosen_colormap, 'Blues')
dialog.close()
def assertColormapEqual(self, cmap, reference, force_string=False):
"""Test whether two colormaps are the same
Parameters
----------
cmap: str or :class:`matplotlib.colors.Colormap`
The colormap to test
reference: str or :class:`matplotlib.colors.Colormap`
The reference colormap"""
if force_string or (isstring(cmap) and isstring(reference)):
self.assertEqual(cmap, reference)
if isstring(cmap):
cmap = get_cmap(cmap)
if isstring(reference):
reference = get_cmap(reference)
colors = np.linspace(0, 1, 4)
self.assertAlmostArrayEqual(cmap(colors), reference(colors))
def test_choose_cmap(self):
fmt_w = self.fmt_widget
fmt_w.fmt_widget.choose_cmap('Blues')
self.assertColormapEqual(fmt_w.get_obj(), 'Blues', True)
cmap = get_cmap('Blues')
fmt_w.fmt_widget.choose_cmap(cmap)
chosen = fmt_w.get_obj()
self.assertIsInstance(chosen, mcol.Colormap)
self.assertColormapEqual(chosen, cmap)
def test_show_colormap_02_custom(self):
fmt_w = self.fmt_widget
cmap = get_cmap('Blues')
fmt_w.fmt_widget.choose_cmap(cmap)
dialog = fmt_w.fmt_widget.show_cmap()
self.assertIsInstance(dialog, pswc.ColormapDialog)
self.assertEqual(dialog.table.rowCount(), 1)
dialog.table.selectRow(0)
self.assertIsInstance(dialog.table.chosen_colormap, mcol.Colormap)
self.assertColormapEqual(dialog.table.chosen_colormap, 'Blues')
dialog.close()
def set_colors(self, N=None, names=None):
self.names = names = names or self.names
self.N = N = N or self.N
colors = np.zeros((len(names), N, 4))
a = np.linspace(0, 1, N)
for i, cmap in enumerate(map(lambda name: psc.get_cmap(name, N),
names)):
colors[i, :, :] = cmap(a)
self.color_da = xr.DataArray(
colors, coords={'cmap': list(map(str, names))},
dims=('cmap', 'color', 'rgba'))
def create_cmap_thumb(cmap, output=None):
from matplotlib.figure import Figure
from matplotlib.cm import ScalarMappable
fig = Figure(figsize=(4., 0.2))
cax = fig.add_axes([0, 0, 1, 1])
_cmap = psc.get_cmap(cmap)
mappable = ScalarMappable(cmap=_cmap)
mappable.set_array([])
fig.colorbar(mappable, cmap=_cmap, cax=cax, orientation='horizontal')
if output:
fig.savefig(output, dpi=72)
return fig
def __init__(self, names=[], N=10, *args, **kwargs):
"""
Parameters
----------
%(show_colormaps.parameters.no_show|use_qt)s
Other Parameters
----------------
``*args, **kwargs``
Anything else that is passed to the QAbstractTableModel
"""
super(ColormapModel, self).__init__(*args, **kwargs)
names = _get_cmaps(names)
self.names = names
colors = np.zeros((len(names), N, 4))
a = np.linspace(0, 1, N)
for i, cmap in enumerate(map(lambda name: get_cmap(name, N),
names)):
colors[i, :, :] = cmap(a)
self.color_da = xr.DataArray(
colors, coords={'cmap': list(map(str, names))},
dims=('cmap', 'color', 'rgba'))
