Expanding plot extents slightly due to change in sigma2d default. A…

…dding test for disjoint parameter summaries.

chainconsumer/helpers.py

@@ -9,7 +9,7 @@ def get_extents(data, weight, plot=False, wide_extents=True):
     icdf = (1 - cdf)[::-1]
     icdf = icdf / icdf.max()
     cdf = 1 - icdf[::-1]
-    threshold = 1e-3 if plot else 1e-5
+    threshold = 1e-4 if plot else 1e-5
     if plot and not wide_extents:
         threshold = 0.05
     i1 = np.where(cdf > threshold)[0][0]

tests/test_analysis.py

@@ -91,6 +91,20 @@ def test_summary_specific(self):
         diff = np.abs(expected - actual)
         assert np.all(diff < tolerance)
 
+    def test_summary_disjoint(self):
+        tolerance = 5e-2
+        consumer = ChainConsumer()
+        consumer.add_chain(self.data, parameters="A")
+        consumer.add_chain(self.data, parameters="B")
+        consumer.configure(bins=0.8)
+        summary = consumer.analysis.get_summary(parameters="A")
+        assert len(summary) == 2  # Two chains
+        assert summary[1] == {}  # Second chain doesnt have param A
+        actual = summary[0]["A"]
+        expected = np.array([3.5, 5.0, 6.5])
+        diff = np.abs(expected - actual)
+        assert np.all(diff < tolerance)
+
     def test_output_text(self):
         consumer = ChainConsumer()
         consumer.add_chain(self.data, parameters=["a"])

tests/test_plotter.py

@@ -14,35 +14,35 @@ def test_plotter_extents1(self):
         c.add_chain(self.data, parameters=["x"])
         c.configure()
         minv, maxv = c.plotter._get_parameter_extents("x", c.chains)
-        assert np.isclose(minv, (5.0 - 1.5 * 3.1), atol=0.1)
-        assert np.isclose(maxv, (5.0 + 1.5 * 3.1), atol=0.1)
+        assert np.isclose(minv, (5.0 - 1.5 * 3.7), atol=0.2)
+        assert np.isclose(maxv, (5.0 + 1.5 * 3.7), atol=0.2)
 
     def test_plotter_extents2(self):
         c = ChainConsumer()
         c.add_chain(self.data, parameters=["x"])
         c.add_chain(self.data + 5, parameters=["y"])
         c.configure()
         minv, maxv = c.plotter._get_parameter_extents("x", c.chains)
-        assert np.isclose(minv, (5.0 - 1.5 * 3.1), atol=0.1)
-        assert np.isclose(maxv, (5.0 + 1.5 * 3.1), atol=0.1)
+        assert np.isclose(minv, (5.0 - 1.5 * 3.7), atol=0.2)
+        assert np.isclose(maxv, (5.0 + 1.5 * 3.7), atol=0.2)
 
     def test_plotter_extents3(self):
         c = ChainConsumer()
         c.add_chain(self.data, parameters=["x"])
         c.add_chain(self.data + 5, parameters=["x"])
         c.configure()
         minv, maxv = c.plotter._get_parameter_extents("x", c.chains)
-        assert np.isclose(minv, (5.0 - 1.5 * 3.1), atol=0.1)
-        assert np.isclose(maxv, (10.0 + 1.5 * 3.1), atol=0.1)
+        assert np.isclose(minv, (5.0 - 1.5 * 3.7), atol=0.2)
+        assert np.isclose(maxv, (10.0 + 1.5 * 3.7), atol=0.2)
 
     def test_plotter_extents4(self):
         c = ChainConsumer()
         c.add_chain(self.data, parameters=["x"])
         c.add_chain(self.data + 5, parameters=["y"])
         c.configure()
         minv, maxv = c.plotter._get_parameter_extents("x", c.chains[:1])
-        assert np.isclose(minv, (5.0 - 1.5 * 3.1), atol=0.1)
-        assert np.isclose(maxv, (5.0 + 1.5 * 3.1), atol=0.1)
+        assert np.isclose(minv, (5.0 - 1.5 * 3.7), atol=0.2)
+        assert np.isclose(maxv, (5.0 + 1.5 * 3.7), atol=0.2)
 
     def test_plotter_extents5(self):
         x, y = np.linspace(-3, 3, 200), np.linspace(-5, 5, 200)
@@ -55,4 +55,4 @@ def test_plotter_extents5(self):
         c.configure()
         minv, maxv = c.plotter._get_parameter_extents("x", c.chains)
         assert np.isclose(minv, -3, atol=0.001)
-        assert np.isclose(maxv, 3, atol=0.001)
+        assert np.isclose(maxv, 3, atol=0.001)