def test_plot_outliers():
"""Test outlier plot, for standard and null data."""
data = {
"x": [1.0, 2.0],
"y": [0.0, 1.0],
"z": [1.0, 1.0],
"image_size": [100, 200]
}
d = plot_outliers(data)
assert "outliers_vs_z" in d
assert "outlier_xy_positions" in d
data = {"x": [], "y": [], "z": [], "image_size": [100, 200]}
d = plot_outliers(data)
assert "outliers_vs_z" in d
assert "outlier_xy_positions" in d
def make_outlier_plots(reflection_tables, experiments):
"""Make outlier plots for the HTML report."""
data = {}
for j, (table, expt) in enumerate(zip(reflection_tables, experiments)):
outliers = table.get_flags(table.flags.outlier_in_scaling)
x, y, z = table["xyzobs.px.value"].select(outliers).parts()
if expt.scan:
zrange = [
i / expt.scan.get_oscillation()[1]
for i in expt.scan.get_oscillation_range()
]
else:
zrange = [0, 0]
data[j] = {
"x": list(x),
"y": list(y),
"z": list(z),
"image_size": expt.detector[0].get_image_size(),
"z_range": zrange,
}
d = OrderedDict()
for key in sorted(data):
outlier_plots = plot_outliers(data[key])
for plot in outlier_plots.values():
if plot: # may be null if no outliers
plot["layout"]["title"] += f" (dataset {key})"
d["outlier_plot_" + str(key)] = outlier_plots["outlier_xy_positions"]
d["outlier_plot_z" + str(key)] = outlier_plots["outliers_vs_z"]
graphs = {"outlier_plots": d}
return graphs
def make_plots(self):
"""Generate plot data of outliers on the detector and vs z."""
d = OrderedDict()
for key in sorted(self.data):
outlier_plots = plot_outliers(self.data[key])
for plot in outlier_plots.values():
if plot: # may be null if no outliers
plot["layout"]["title"] += " (dataset %s)" % key
d["outlier_plot_" + str(key)] = outlier_plots["outlier_xy_positions"]
d["outlier_plot_z" + str(key)] = outlier_plots["outliers_vs_z"]
graphs = {"outlier_plots": d}
return graphs