def _get_data_for_plot(axes, workspace, kwargs, with_dy=False, with_dx=False):
if isinstance(workspace, mantid.dataobjects.MDHistoWorkspace):
(normalization, kwargs) = get_normalization(workspace, **kwargs)
indices, kwargs = get_indices(workspace, **kwargs)
(x, y, dy) = get_md_data1d(workspace, normalization, indices)
dx = None
axis = None
else:
axis = MantidAxType(kwargs.pop("axis", MantidAxType.SPECTRUM))
normalize_by_bin_width, kwargs = get_normalize_by_bin_width(
workspace, axes, **kwargs)
workspace_index, distribution, kwargs = get_wksp_index_dist_and_label(
workspace, axis, **kwargs)
if axis == MantidAxType.BIN:
# Overwrite any user specified xlabel
axes.set_xlabel("Spectrum")
x, y, dy, dx = get_bins(workspace, workspace_index, with_dy)
elif axis == MantidAxType.SPECTRUM:
x, y, dy, dx = get_spectrum(workspace, workspace_index,
normalize_by_bin_width, with_dy,
with_dx)
else:
raise ValueError(
"Axis {} is not a valid axis number.".format(axis))
indices = None
return x, y, dy, dx, indices, axis, kwargs
def _get_data_for_plot(axes, workspace, kwargs, with_dy=False, with_dx=False):
if isinstance(workspace, mantid.dataobjects.MDHistoWorkspace):
(normalization, kwargs) = get_normalization(workspace, **kwargs)
indices, kwargs = get_indices(workspace, **kwargs)
(x, y, dy) = get_md_data1d(workspace, normalization, indices)
dx = None
else:
axis = kwargs.pop("axis", MantidAxType.SPECTRUM)
workspace_index, distribution, kwargs = get_wksp_index_dist_and_label(workspace, axis, **kwargs)
if axis == MantidAxType.BIN:
# Overwrite any user specified xlabel
axes.set_xlabel("Spectrum")
x, y, dy, dx = get_bins(workspace, workspace_index, with_dy)
elif axis == MantidAxType.SPECTRUM:
x, y, dy, dx = get_spectrum(workspace, workspace_index, distribution, with_dy, with_dx)
else:
raise ValueError("Axis {} is not a valid axis number.".format(axis))
indices = None
return x, y, dy, dx, indices, kwargs
def test_get_bins_with_dy(self, ws):
x, y, dy, dx = funcs.get_bins(ws, 1, withDy=True)
self.assertTrue(np.array_equal([0, 1, 2, 3], x))
self.assertTrue(np.array_equal([2.0, 5.0, 8.0, 11.0], y))
self.assertTrue(np.array_equal([2.0, 5.0, 8.0, 11.0], dy))
def test_get_bins_with_dy(self, ws):
x, y, dy, dx = funcs.get_bins(ws, 1, withDy=True)
self.assertTrue(np.array_equal([0, 1, 2, 3], x))
self.assertTrue(np.array_equal([2.0, 5.0, 8.0, 11.0], y))
self.assertTrue(np.array_equal([2.0, 5.0, 8.0, 11.0], dy))
