[pre-commit.ci] auto fixes from pre-commit.com hooks

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spirograph/mpl/__init__.py

@@ -1 +1,5 @@
-from ._partitioning import graph_fractional_uncertainty, graph_variance, graph_fraction_of_total_variance
+from ._partitioning import (
+    graph_fraction_of_total_variance,
+    graph_fractional_uncertainty,
+    graph_variance,
+)

spirograph/mpl/_partitioning.py

@@ -4,13 +4,17 @@
 Create figures similar to those from Hawkins & Sutton (2009). All these functions expect DataArrays with dimensions
 `time` and `uncertainty`, as generated by `xclim.ensembles.partitioning.hawkins_sutton`.
 """
+import matplotlib as mpl
 import numpy as np
 from cycler import cycler
-import matplotlib as mpl
 from matplotlib import pyplot as plt
 
-
-colors = {"variability": "#DC551A", "model": "#2B2B8B", "scenario": "#275620", "total": "k"}
+colors = {
+    "variability": "#DC551A",
+    "model": "#2B2B8B",
+    "scenario": "#275620",
+    "total": "k",
+}
 names = {"variability": "Internal variability"}