pre-commit issues fix

doc/source/conf.py

@@ -27,8 +27,8 @@
 author = "Wildlife Dynamics"
 
 source_suffix = {
-    '.rst': 'restructuredtext',
-    '.md': 'markdown',
+    ".rst": "restructuredtext",
+    ".md": "markdown",
 }
 
 

ecoscope/analysis/seasons.py

@@ -109,22 +109,22 @@ def seasonal_windows(ndvi_vals, cuts, season_labels):
     ).set_index("unique_season")
 
 
-def add_seasonal_index(df, index_name, start_date, end_date, aoi_geom_filter=None, seasons=2, season_labels=["dry", "wet"]):
-
+def add_seasonal_index(
+    df, index_name, start_date, end_date, aoi_geom_filter=None, seasons=2, season_labels=["dry", "wet"]
+):
+
     aoi_ = None
     try:
-        aoi_ = aoi_geom_filter.dissolve().iloc[0]['geometry']
+        aoi_ = aoi_geom_filter.dissolve().iloc[0]["geometry"]
     except:
         aoi_ = aoi_geom_filter
 
     if len(season_labels) != seasons:
-        raise Exception(f"Parameter value 'seasons' ({seasons}) must match the number of 'season_labels' elements ({season_labels})")
+        raise Exception(
+            f"Parameter value 'seasons' ({seasons}) must match the number of 'season_labels' elements ({season_labels})"
+        )
     # extract the standardized NDVI ndvi_vals within the AOI
-    ndvi_vals = std_ndvi_vals(
-        aoi_,
-        start=since_filter.isoformat(),
-        end=until_filter.isoformat()
-    )
+    ndvi_vals = std_ndvi_vals(aoi_, start=since_filter.isoformat(), end=until_filter.isoformat())
 
     # calculate the seasonal transition point
     cuts = val_cuts(ndvi_vals, seasons)
@@ -135,7 +135,7 @@ def add_seasonal_index(df, index_name, start_date, end_date, aoi_geom_filter=Non
     # Categorize the fixtime values according to the season
     bins = pandas.IntervalIndex(data=windows.apply(lambda x: pandas.Interval(x["start"], x["end"]), axis=1))
     labels = windows.season
-    df[index_name] = pandas.cut(df[time_col], bins=bins).map(dict(zip(bins,labels)))
+    df[index_name] = pandas.cut(df[time_col], bins=bins).map(dict(zip(bins, labels)))
 
     # set the index
-    return df.set_index(index_name, append=True)
+    return df.set_index(index_name, append=True)

ecoscope/base/utils.py

@@ -260,4 +260,4 @@ def add_temporal_index(df, index_name, time_col, directive):
         df[index_name] = df[time_col].dt.strftime(directive)
         return df.set_index(index_name, append=True)
     else:
-        return df
+        return df