Taylor Diagram test (NCAR#234)

* add taylor test

* add tests for each class fx

* add testing images

* pre-commit

* change image file paths

tests/test_taylor.py

@@ -0,0 +1,139 @@
+import pytest
+import matplotlib as mpl
+import matplotlib.pyplot as plt
+import numpy as np
+
+from geocat.viz.taylor import TaylorDiagram
+
+
+@pytest.mark.mpl_image_compare(tolerance=0.02,
+                               remove_text=True,
+                               style='default')
+def test_add_model_set():
+    fig = plt.figure(figsize=(10, 10))
+    taylor = TaylorDiagram(fig=fig, label='REF')
+
+    taylor.add_model_set([1.230, 0.988, 1.092], [0.958, 0.973, 0.740],
+                         color='red',
+                         label='Model A',
+                         fontsize=16)
+
+    return fig
+
+
+@pytest.mark.mpl_image_compare(tolerance=0.02,
+                               remove_text=True,
+                               style='default')
+def test_add_legend():
+    fig = plt.figure(figsize=(10, 10))
+    taylor = TaylorDiagram(fig=fig, label='REF')
+
+    taylor.add_model_set(
+        [1.230, 0.988, 1.092],
+        [0.958, 0.973, 0.740],
+        percent_bias_on=
+        True,  # indicate marker and size to be plotted based on bias_array
+        bias_array=[2.7, -1.5, 17.31],  # specify bias array
+        color='red',
+        label='Model A',
+        fontsize=16)
+
+    taylor.add_model_set([1.129, 0.996, 1.016], [0.963, 0.975, 0.801],
+                         percent_bias_on=True,
+                         bias_array=[1.7, 2.5, -17.31],
+                         color='blue',
+                         label='Model B',
+                         fontsize=16)
+
+    taylor.add_legend(fontsize=16)
+
+    return fig
+
+
+@pytest.mark.mpl_image_compare(tolerance=0.02,
+                               remove_text=True,
+                               style='default')
+def test_add_bias_legend():
+    fig = plt.figure(figsize=(10, 10))
+    taylor = TaylorDiagram(fig=fig, label='REF')
+
+    taylor.add_model_set(
+        [1.230, 0.988, 1.092],
+        [0.958, 0.973, 0.740],
+        percent_bias_on=
+        True,  # indicate marker and size to be plotted based on bias_array
+        bias_array=[2.7, -1.5, 17.31],  # specify bias array
+        color='red',
+        label='Model A',
+        fontsize=16)
+
+    taylor.add_bias_legend()
+
+    return fig
+
+
+@pytest.mark.mpl_image_compare(tolerance=0.02,
+                               remove_text=True,
+                               style='default')
+def test_add_model_name():
+    fig = plt.figure(figsize=(10, 10))
+    taylor = TaylorDiagram(fig=fig, label='REF')
+
+    taylor.add_model_set(
+        [1.230, 0.988, 1.092],
+        [0.958, 0.973, 0.740],
+        percent_bias_on=
+        True,  # indicate marker and size to be plotted based on bias_array
+        bias_array=[2.7, -1.5, 17.31],  # specify bias array
+        color='red',
+        label='Model A',
+        fontsize=16)
+
+    taylor.add_model_name(['a', 'b', 'c'], fontsize=16)
+
+    return fig
+
+
+@pytest.mark.mpl_image_compare(tolerance=0.02,
+                               remove_text=True,
+                               style='default')
+def test_add_corr_grid():
+    fig = plt.figure(figsize=(10, 10))
+    taylor = TaylorDiagram(fig=fig, label='REF')
+
+    taylor.add_corr_grid(np.array([0.6, 0.9]))
+
+    taylor.add_model_set(
+        [1.230, 0.988, 1.092],
+        [0.958, 0.973, 0.740],
+        percent_bias_on=
+        True,  # indicate marker and size to be plotted based on bias_array
+        bias_array=[2.7, -1.5, 17.31],  # specify bias array
+        color='red',
+        label='Model A',
+        fontsize=16)
+
+    return fig
+
+
+@pytest.mark.mpl_image_compare(tolerance=0.02,
+                               remove_text=True,
+                               style='default')
+def test_add_contours():
+    fig = plt.figure(figsize=(10, 10))
+    taylor = TaylorDiagram(fig=fig, label='REF')
+
+    taylor.add_model_set(
+        [1.230, 0.988, 1.092],
+        [0.958, 0.973, 0.740],
+        percent_bias_on=
+        True,  # indicate marker and size to be plotted based on bias_array
+        bias_array=[2.7, -1.5, 17.31],  # specify bias array
+        color='red',
+        label='Model A',
+        fontsize=16)
+
+    taylor.add_contours(levels=np.arange(0, 1.1, 0.25),
+                        colors='lightgrey',
+                        linewidths=0.5)
+    return fig