Customizable limits percentile and behavior on updating bins when resetting limits

glue/viewers/histogram/state.py

@@ -38,6 +38,10 @@ class HistogramViewerState(MatplotlibDataViewerState):
     common_n_bin = DDCProperty(True, docstring='The number of bins to use for '
                                                'all numerical components')
 
+    x_limits_percentile = DDCProperty(100, docstring="Percentile to use when automatically determining x limits")
+
+    update_bins_on_reset_limits = DDCProperty(True, docstring="Whether to update the bins to match the view when resetting limits")
+
     def __init__(self, **kwargs):
 
         super(HistogramViewerState, self).__init__()
@@ -67,9 +71,10 @@ def _reset_x_limits(self, *args):
         if self.x_att is None:
             return
         with delay_callback(self, 'hist_x_min', 'hist_x_max', 'x_min', 'x_max', 'x_log'):
-            self.x_lim_helper.percentile = 100
+            self.x_lim_helper.percentile = self.x_limits_percentile
             self.x_lim_helper.update_values(force=True)
-            self.update_bins_to_view()
+            if self.update_bins_on_reset_limits:
+                self.update_bins_to_view()
 
     def reset_limits(self):
         self._reset_x_limits()

glue/viewers/histogram/tests/test_viewer.py

@@ -1,4 +1,5 @@
 import numpy as np
+from numpy.testing import assert_allclose
 
 from astropy.utils import NumpyRNGContext
 
@@ -80,3 +81,41 @@ def test_incompatible_datasets():
     viewer.state.x_att = data2.id['y']
 
     viewer.state.hist_n_bin = 20
+
+
+def test_reset_limits():
+
+    data1 = Data(x=np.arange(1000), label='data')
+
+    app = Application()
+    app.data_collection.append(data1)
+
+    viewer = app.new_data_viewer(SimpleHistogramViewer)
+    viewer.add_data(data1)
+
+    viewer.state.reset_limits()
+
+    assert_allclose(viewer.state.x_min, 0)
+    assert_allclose(viewer.state.x_max, 999)
+
+    viewer.state.x_limits_percentile = 90
+
+    viewer.state.reset_limits()
+
+    assert_allclose(viewer.state.x_min, 49.95)
+    assert_allclose(viewer.state.x_max, 949.05)
+
+    assert_allclose(viewer.state.hist_x_min, 49.95)
+    assert_allclose(viewer.state.hist_x_max, 949.05)
+
+    viewer.state.update_bins_on_reset_limits = False
+
+    viewer.state.x_limits_percentile = 80
+
+    viewer.state.reset_limits()
+
+    assert_allclose(viewer.state.x_min, 99.9)
+    assert_allclose(viewer.state.x_max, 899.1)
+
+    assert_allclose(viewer.state.hist_x_min, 49.95)
+    assert_allclose(viewer.state.hist_x_max, 949.05)

glue/viewers/scatter/state.py

@@ -30,6 +30,9 @@ class ScatterViewerState(MatplotlibDataViewerState):
     plot_mode = DDSCProperty(docstring="Whether to plot the data in cartesian, polar or another projection")
     angle_unit = DDSCProperty(docstring="Whether to use radians or degrees for any angular coordinates")
 
+    x_limits_percentile = DDCProperty(100, docstring="Percentile to use when automatically determining x limits")
+    y_limits_percentile = DDCProperty(100, docstring="Percentile to use when automatically determining y limits")
+
     def __init__(self, **kwargs):
 
         super(ScatterViewerState, self).__init__()
@@ -70,13 +73,13 @@ def __init__(self, **kwargs):
     def _reset_x_limits(self, *args):
         if self.x_att is None:
             return
-        self.x_lim_helper.percentile = 100
+        self.x_lim_helper.percentile = self.x_limits_percentile
         self.x_lim_helper.update_values(force=True)
 
     def _reset_y_limits(self, *args):
         if self.y_att is None:
             return
-        self.y_lim_helper.percentile = 100
+        self.y_lim_helper.percentile = self.y_limits_percentile
         self.y_lim_helper.update_values(force=True)
 
     def reset_limits(self):

glue/viewers/scatter/tests/test_viewer.py

@@ -1,3 +1,6 @@
+import numpy as np
+from numpy.testing import assert_allclose
+
 from glue.tests.visual.helpers import visual_test
 
 from glue.viewers.scatter.viewer import SimpleScatterViewer
@@ -24,3 +27,35 @@ def test_simple_viewer():
     app.data_collection.new_subset_group(label='subset1', subset_state=data1.id['x'] > 2)
 
     return viewer.figure
+
+
+def test_reset_limits():
+
+    data1 = Data(x=np.arange(1000), y=np.arange(1000) + 1000, label='data')
+
+    app = Application()
+    app.data_collection.append(data1)
+
+    viewer = app.new_data_viewer(SimpleScatterViewer)
+    viewer.add_data(data1)
+
+    viewer.state.reset_limits()
+
+    # Note that there is a margin included which is why the limits are not 0 to 999
+
+    assert_allclose(viewer.state.x_min, -39.96)
+    assert_allclose(viewer.state.x_max, 1038.96)
+
+    assert_allclose(viewer.state.y_min, 1000 - 39.96)
+    assert_allclose(viewer.state.y_max, 1000 + 1038.96)
+
+    viewer.state.x_limits_percentile = 90
+    viewer.state.y_limits_percentile = 80
+
+    viewer.state.reset_limits()
+
+    assert_allclose(viewer.state.x_min, 13.986)
+    assert_allclose(viewer.state.x_max, 985.014)
+
+    assert_allclose(viewer.state.y_min, 1000 + 67.932)
+    assert_allclose(viewer.state.y_max, 1000 + 931.068)