linting

Author: davidhassell

docs/source/recipes/plot_17_recipe.py

@@ -91,9 +91,7 @@
     if i == 0:
         set_title = "Perceptually uniform\ncolour maps"
     elif i == 1:
-        set_title = (
-            "NCL colour maps enhanced to \nhelp with colour blindness"
-        )
+        set_title = "NCL colour maps enhanced to \nhelp with colour blindness"
     elif i == 2:
         set_title = "Orography/bathymetry\ncolour maps"
     else:

docs/source/recipes/plot_18_recipe.py

@@ -13,11 +13,11 @@
 # %%
 # 1. Import cf-python, cf-plot and other required packages:
 import cfplot as cfp
-import cf
-
 import matplotlib.pyplot as plt
 import scipy.stats.mstats as mstats
 
+import cf
+
 # %%
 # 2. Read the data in and unpack the Fields from FieldLists using indexing.
 # In our example We are investigating the influence of the land height on
@@ -62,7 +62,7 @@
 # unitless fraction, but the values are in the tens, so we need to
 # normalise these to all lie between 0 and 1 and change the units
 # appropriately:
-sub_snow = ((sub_snow - sub_snow.minimum()) / (sub_snow.range()))
+sub_snow = (sub_snow - sub_snow.minimum()) / (sub_snow.range())
 sub_snow.override_units("1", inplace=True)
 
 # %%
@@ -93,7 +93,9 @@
 # and its strength visually. We use 'gpos' to position the plots in two
 # columns and apply some specific axes ticks and labels for clarity.
 cfp.gopen(
-    rows=1, columns=2, top=0.85,
+    rows=1,
+    columns=2,
+    top=0.85,
     file="snow_and_orog_on_same_grid.png",
     user_position=True,
 )
@@ -131,10 +133,12 @@
 # Don't add extentions on the colourbar since it can only be 0 to 1 inclusive
 cfp.levs(min=0, max=1, step=0.1, extend="neither")
 cfp.cscale("precip_11lev", ncols=11, reverse=1)
-cfp.con(sub_snow, lines=False,
-        title="Snow cover extent (from satellite imagery)",
-        colorbar_drawedges=False,
-        **label_info
+cfp.con(
+    sub_snow,
+    lines=False,
+    title="Snow cover extent (from satellite imagery)",
+    colorbar_drawedges=False,
+    **label_info,
 )
 
 cfp.gclose()

docs/source/recipes/plot_20_recipe.py

@@ -10,6 +10,7 @@
 # %%
 # 1. Import cf-python and cf-plot:
 import cfplot as cfp
+
 import cf
 
 # %%
@@ -81,14 +82,15 @@
 cfp.mapset(resolution="10m")
 cfp.cscale("ncl_default")
 cfp.gopen(
-    file=f"irish-sea-currents-divergence-{chosen_time.replace(' ', '-')}.png")
+    file=f"irish-sea-currents-divergence-{chosen_time.replace(' ', '-')}.png"
+)
 cfp.vect(u=u_2, v=v_2, stride=6, scale=3, key_length=1)
 cfp.con(
     div,
     lines=False,
     title=(
         f"Depth-averaged Irish Sea currents at {chosen_time} with "
         "their divergence"
-    )
+    ),
 )
 cfp.gclose()