tidy

Author: davidhassell

docs/source/recipes/plot_08_recipe.py

@@ -9,10 +9,11 @@
 # 1. Import cf-python, cf-plot, numpy and scipy.stats:
 
 import cfplot as cfp
+import cf
+
 import numpy as np
 import scipy.stats as stats
 
-import cf
 
 # %%
 # 2. Three functions are defined:

docs/source/recipes/plot_12_recipe.py

@@ -13,8 +13,8 @@
 # %%
 # 1. Import cf-python, cf-plot and matplotlib.pyplot:
 
-import cfplot as cfp
 import matplotlib.pyplot as plt
+import cfplot as cfp
 
 import cf
 

docs/source/recipes/plot_13_recipe.py

@@ -18,11 +18,13 @@
 # in next steps.
 
 import cartopy.crs as ccrs
-import cfplot as cfp
 import matplotlib.patches as mpatches
 
+import cfplot as cfp
+
 import cf
 
+
 # %%
 # 2. Read and select the SST by index and look at its contents:
 sst = cf.read("~/recipes/ERA5_monthly_averaged_SST.nc")[0]

docs/source/recipes/plot_17_recipe.py

@@ -11,8 +11,8 @@
 # %%
 # 1. Import cf-python and cf-plot:
 
-import cfplot as cfp
 import matplotlib.pyplot as plt
+import cfplot as cfp
 
 import cf
 

docs/source/recipes/plot_18_recipe.py

@@ -10,15 +10,15 @@
 
 """
 
-import cfplot as cfp
-
 # %%
 # 1. Import cf-python, cf-plot and other required packages:
 import matplotlib.pyplot as plt
 import scipy.stats.mstats as mstats
+import cfplot as cfp
 
 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

docs/source/recipes/plot_19_recipe.py

@@ -9,11 +9,10 @@
 maxima.
 """
 
-import cfplot as cfp
-
 # %%
 # 1. Import cf-python, cf-plot and other required packages:
 import matplotlib.pyplot as plt
+import cfplot as cfp
 
 import cf