add simple unit test that checks that the polar plot works

Author: Tom-Kingstone

Python_Engine/Python/src/python_toolkit/plot/polar.py

@@ -46,8 +46,8 @@ def polar(
                 The number of directions to use. Defaults to 36.
             value_bins (list[float]):
                 The bins to use for the magnitudes of the values.
-            colors: (str | tuple[float] | Colormap, optional):
-                A list of colors to use for the value_bins. May also be a colormap.
+            colours: (str | tuple[float] | Colormap, optional):
+                A list of colours to use for the value_bins. May also be a matplotlib colormap.
             title (str, optional):
                 title to display above the plot. Defaults to the source of this wind object.
             legend (bool, optional):
@@ -57,7 +57,7 @@ def polar(
             label (bool, optional):
                 Set to False to remove the bin labels. Defaults to False.
             density (bool, optional):
-                Set to False to see the sum of the values instead of their frequency density
+                Set to False to see the sum of the values instead of their frequency density. Defaults to True.
         Returns:
             plt.Axes: The axes object.
         """

Python_Engine/Python/tests/__init__.py

@@ -11,7 +11,13 @@ def get_timeseries():
     df = df.set_index(pd.to_datetime(df.index))
     return pd.Series(df["Value"], index=df.index)
 
-TIMESERIES_COLLECTION = get_timeseries()
+def get_test_data():
+    df = pd.read_csv(Path(__file__).parent / "assets" / "example_timeseries.csv", index_col="Timestamp")
+    df = df.set_index(pd.to_datetime(df.index))
+    return df
+
+TEST_DATA = get_test_data()
+TIMESERIES_COLLECTION = pd.Series(TEST_DATA["Value"], index=TEST_DATA.index)
 
 #use 'agg' for testing plot methods, as tkinter occasionally throws strange errors (missing component/library when component isn't missing) when the default backend is used only when using pytest
 mpl.use("agg")