adjust import order

cupid/build.py

@@ -17,7 +17,6 @@
 
 import subprocess
 import sys
-
 import click
 import yaml
 

cupid/read.py

@@ -7,9 +7,8 @@
                      intake catalog based on specified criteria.
 """
 
-import yaml
-
 import intake
+import yaml
 
 
 def read_yaml(path_to_yaml):

cupid/run.py

@@ -24,12 +24,11 @@
 
 import os
 import warnings
-
 import click
 import intake
 import ploomber
-import cupid.util
 import cupid.timeseries
+import cupid.util
 
 CONTEXT_SETTINGS = dict(help_option_names=["-h", "--help"])
 

cupid/timeseries.py

@@ -7,10 +7,10 @@
 # ++++++++++++++++++++++++++++++
 
 import glob
+import multiprocessing as mp
 import os
 import subprocess
 from pathlib import Path
-import multiprocessing as mp
 
 import xarray as xr
 

cupid/util.py

@@ -22,9 +22,9 @@
 import jupyter_client
 import papermill as pm
 import ploomber
+import yaml
 from papermill.engines import NBClientEngine
 from jinja2 import Template
-import yaml
 
 
 class MarkdownJinjaEngine(NBClientEngine):

examples/nblibrary/ice/plot_diff.py

@@ -1,12 +1,11 @@
+import cartopy.crs as ccrs
+import cartopy.feature as cfeature
 import matplotlib as mpl
 import matplotlib.pyplot as plt
 import matplotlib.path as mpath
 from matplotlib.gridspec import GridSpec
 import numpy as np
 
-import cartopy.crs as ccrs
-import cartopy.feature as cfeature
-
 
 def plot_diff(field1, field2, levels, case1, case2, title, proj, TLAT, TLON):
     # make circular boundary for polar stereographic circular plots

examples/nblibrary/ice/vect_diff.py

@@ -1,13 +1,11 @@
-import numpy as np
-
+import cartopy.crs as ccrs
+import cartopy.feature as cfeature
 import matplotlib as mpl
 import matplotlib.path as mpath
 import matplotlib.pyplot as plt
+import numpy as np
 from matplotlib.gridspec import GridSpec
 
-import cartopy.crs as ccrs
-import cartopy.feature as cfeature
-
 def vect_diff(uvel1, vvel1, uvel2, vvel2, angle, proj, case1, case2, TLAT, TLON):
     uvel_rot1 = uvel1 * np.cos(angle) - vvel1 * np.sin(angle)
     vvel_rot1 = uvel1 * np.sin(angle) + vvel1 * np.cos(angle)