Isort reorder imports

contributors/list_contributors.py

@@ -7,11 +7,11 @@
 02/23/2019
 """
 
-import os
-import subprocess
-import shutil
 import datetime
+import os
 import re
+import shutil
+import subprocess
 
 
 def append_to_file(aline, afile):

examples/setup_antarctic_basins.py

@@ -4,13 +4,13 @@
 """
 
 # stuff to make scipts work for python 2 and python 3
-from __future__ import absolute_import, division, print_function, \
-    unicode_literals
-
-from geometric_features import GeometricFeatures
+from __future__ import (absolute_import, division, print_function,
+                        unicode_literals)
 
 import matplotlib.pyplot as plt
 
+from geometric_features import GeometricFeatures
+
 plot = True
 
 # create a GeometricFeatures object that points to a local cache of geometric

examples/setup_extended_antarctic_basins.py

@@ -5,13 +5,13 @@
 """
 
 # stuff to make scipts work for python 2 and python 3
-from __future__ import absolute_import, division, print_function, \
-    unicode_literals
-
-from geometric_features import GeometricFeatures, FeatureCollection
+from __future__ import (absolute_import, division, print_function,
+                        unicode_literals)
 
 import matplotlib.pyplot as plt
 
+from geometric_features import FeatureCollection, GeometricFeatures
+
 plot = True
 
 # create a GeometricFeatures object that points to a local cache of geometric

examples/setup_ice_shelves.py

@@ -4,13 +4,13 @@
 """
 
 # stuff to make scipts work for python 2 and python 3
-from __future__ import absolute_import, division, print_function, \
-    unicode_literals
-
-from geometric_features import GeometricFeatures, FeatureCollection
+from __future__ import (absolute_import, division, print_function,
+                        unicode_literals)
 
 import matplotlib.pyplot as plt
 
+from geometric_features import FeatureCollection, GeometricFeatures
+
 plot = True
 
 iceShelfNames = ['Abbot',

examples/setup_ocean_critical_passages.py

@@ -4,8 +4,8 @@
 """
 
 # stuff to make scipts work for python 2 and python 3
-from __future__ import absolute_import, division, print_function, \
-    unicode_literals
+from __future__ import (absolute_import, division, print_function,
+                        unicode_literals)
 
 from geometric_features import GeometricFeatures
 

examples/setup_ocean_land_coverage.py

@@ -8,13 +8,13 @@
 """
 
 # stuff to make scipts work for python 2 and python 3
-from __future__ import absolute_import, division, print_function, \
-    unicode_literals
-
-from geometric_features import GeometricFeatures
+from __future__ import (absolute_import, division, print_function,
+                        unicode_literals)
 
 import matplotlib.pyplot as plt
 
+from geometric_features import GeometricFeatures
+
 plot = True
 withCavities = False
 

examples/setup_ocean_region_groups.py

@@ -12,14 +12,15 @@
 """
 
 # stuff to make scipts work for python 2 and python 3
-from __future__ import absolute_import, division, print_function, \
-    unicode_literals
+from __future__ import (absolute_import, division, print_function,
+                        unicode_literals)
 
-import matplotlib.pyplot as plt
 import copy
+
+import matplotlib.pyplot as plt
 import shapely
 
-from geometric_features import GeometricFeatures, FeatureCollection
+from geometric_features import FeatureCollection, GeometricFeatures
 
 
 def build_ocean_basins(gf, plot):

examples/setup_ocean_standard_transport_sections.py

@@ -5,12 +5,11 @@
 """
 
 # stuff to make scipts work for python 2 and python 3
-from __future__ import absolute_import, division, print_function, \
-    unicode_literals
+from __future__ import (absolute_import, division, print_function,
+                        unicode_literals)
 
 from geometric_features import GeometricFeatures
 
-
 # create a GeometricFeatures object that points to a local cache of geometric
 # data and knows which branch of geometric_feature to use to download
 # missing data

feature_creation_scripts/antarctic_ocean_regions/antarctic_ocean_regions.py

@@ -1,18 +1,18 @@
 #!/usr/bin/env python
 
-import shapely
-import numpy
-import xarray
 import os
-import matplotlib.pyplot as plt
-import pyproj
-import zipfile
 import shutil
+import zipfile
 
-from geometric_features import GeometricFeatures, FeatureCollection
-from geometric_features.feature_collection import _round_coords
+import matplotlib.pyplot as plt
+import numpy
+import pyproj
+import shapely
+import xarray
 
+from geometric_features import FeatureCollection, GeometricFeatures
 from geometric_features.download import download_files
+from geometric_features.feature_collection import _round_coords
 from geometric_features.utils import write_feature_names_and_tags
 
 

feature_creation_scripts/arctic_ocean_regions/arctic_ocean_regions_partI.py

@@ -1,19 +1,19 @@
 #!/usr/bin/env python
 
-import shapely
-import numpy
-import xarray
-import os
-import matplotlib.pyplot as plt
-import pyproj
 import gzip
+import os
 import shutil
 import tempfile
 
-from geometric_features import GeometricFeatures, FeatureCollection
-from geometric_features.feature_collection import _round_coords
+import matplotlib.pyplot as plt
+import numpy
+import pyproj
+import shapely
+import xarray
 
+from geometric_features import FeatureCollection, GeometricFeatures
 from geometric_features.download import download_files
+from geometric_features.feature_collection import _round_coords
 from geometric_features.utils import write_feature_names_and_tags
 
 

feature_creation_scripts/arctic_ocean_regions/arctic_ocean_regions_partII.py

@@ -1,19 +1,19 @@
 #!/usr/bin/env python
 
-import shapely
-import numpy
-import xarray
-import os
-import matplotlib.pyplot as plt
-import pyproj
 import gzip
+import os
 import shutil
 import tempfile
 
-from geometric_features import GeometricFeatures, FeatureCollection
-from geometric_features.feature_collection import _round_coords
+import matplotlib.pyplot as plt
+import numpy
+import pyproj
+import shapely
+import xarray
 
+from geometric_features import FeatureCollection, GeometricFeatures
 from geometric_features.download import download_files
+from geometric_features.feature_collection import _round_coords
 from geometric_features.utils import write_feature_names_and_tags
 
 

feature_creation_scripts/extract_bedmachine_coastlines/extract_bedmachine_coastlines.py

@@ -1,24 +1,22 @@
 #!/usr/bin/env python
 
 import os
-import xarray
+
+import matplotlib.pyplot as plt
 import numpy
 import pyproj
-import matplotlib.pyplot as plt
-from skimage import measure
-
+import skfmm
+import xarray
+from scipy.interpolate import interp1d
+from scipy.ndimage.filters import gaussian_filter
 from shapely.geometry import Polygon, mapping
 from shapely.ops import unary_union
+from skimage import measure
 
-from geometric_features import FeatureCollection, GeometricFeatures, \
-    read_feature_collection
+from geometric_features import (FeatureCollection, GeometricFeatures,
+                                read_feature_collection)
 from geometric_features.utils import write_feature_names_and_tags
 
-import skfmm
-
-from scipy.ndimage.filters import gaussian_filter
-from scipy.interpolate import interp1d
-
 """
 We do not have permission to automatically download or re-distribute the
 BedMachine Antarctica topography.  To download the file, follow these

feature_creation_scripts/extract_bedmap2_ice_coverage/bedamp2_to_netcdf.py

@@ -1,9 +1,10 @@
-from netCDF4 import Dataset
-import numpy
 import os
 
 import matplotlib.pyplot as plt
-from progressbar import ProgressBar, Percentage, Bar, ETA
+import numpy
+from netCDF4 import Dataset
+from progressbar import ETA, Bar, Percentage, ProgressBar
+
 """
 This script converts the Bedmap2 binary dataset into a NetCDF file, including
 longitude and latitude fields.  The Bedmap2 bindary dataset is available via

feature_creation_scripts/extract_bedmap2_ice_coverage/extract_bedmap2_ice_coverage.py

@@ -1,20 +1,14 @@
-from netCDF4 import Dataset
 import numpy
-from matplotlib import pyplot
+import skfmm
 from matplotlib import _cntr as cntr
-
+from matplotlib import pyplot
+from mpl_toolkits.basemap import interp as basemap_interp
+from netCDF4 import Dataset
+from scipy.ndimage.filters import gaussian_filter
 from shapely.geometry import Polygon, mapping
 from shapely.ops import unary_union
-
 from utils.feature_write_utils import write_all_features
 
-
-import skfmm
-
-from scipy.ndimage.filters import gaussian_filter
-
-from mpl_toolkits.basemap import interp as basemap_interp
-
 """
 This script takes as input the Bedmap2 topography data produced by the
 bedmap2_to_netcdf.py script.  It produces the feature file

feature_creation_scripts/iceshelves/bedmap2_to_netcdf.py

@@ -1,9 +1,9 @@
 #!/usr/bin/env python2
 
-from netCDF4 import Dataset
 import numpy
+from netCDF4 import Dataset
+from progressbar import ETA, Bar, Percentage, ProgressBar
 
-from progressbar import ProgressBar, Percentage, Bar, ETA
 """
 This script converts the Bedmap2 binary dataset into a NetCDF file, including
 longitude and latitude fields.  The Bedmap2 bindary dataset is available via

feature_creation_scripts/iceshelves/ice_vel_to_bedmap2.py

@@ -1,15 +1,13 @@
 #!/usr/bin/env python
 
+import matplotlib
 import numpy
 from netCDF4 import Dataset
 
-import matplotlib
 matplotlib.use('Agg')
 import matplotlib.pyplot as plt
-
-from mpl_toolkits.basemap import interp
-
 import scipy.ndimage.filters as filters
+from mpl_toolkits.basemap import interp
 
 inFileName = 'Bedmap2_ice_shelf_distance.nc'
 inFile = Dataset(inFileName,'r')

feature_creation_scripts/iceshelves/plot_streamline.py

@@ -1,19 +1,17 @@
 #!/usr/bin/env python
 
+import matplotlib
 import numpy
 from netCDF4 import Dataset
 
-import matplotlib
 matplotlib.use('Agg')
 import matplotlib.pyplot as plt
-
-from mpl_toolkits.basemap import interp
-
 import scipy.integrate
 import scipy.ndimage.morphology as morphology
-
+from mpl_toolkits.basemap import interp
 from skimage import measure
 
+
 def interpVel(p,t):
   np = len(p)/2
   x = p[0:np]

feature_creation_scripts/iceshelves/polar.py

@@ -1,5 +1,6 @@
 import numpy
 
+
 def toPolar(points):
   lons = numpy.pi*points[:,0]/180.
   lats = numpy.pi*points[:,1]/180.

feature_creation_scripts/iceshelves/write_basin_distances.py

@@ -1,17 +1,17 @@
 #!/usr/bin/env python
 
-import numpy
-from netCDF4 import Dataset
+import os
 
+import matplotlib
+import numpy
 import scipy.misc
-
 import skfmm
-import os
+from netCDF4 import Dataset
 
-import matplotlib
 matplotlib.use('Agg')
 import matplotlib.pyplot as plt
 
+
 def readBasinImage(name):
   basinImage = scipy.misc.imread('basins/%s.png'%name)
   data = 1.0 - numpy.array(basinImage[::-1,:,0],float)/255.

feature_creation_scripts/iceshelves/write_basin_images.py

@@ -1,18 +1,18 @@
 #!/usr/bin/env python
 
-import numpy
 import json
 import sys
+
+import matplotlib
+import numpy
+from descartes import PolygonPatch
 from netCDF4 import Dataset
 from shapely.geometry import shape
-from descartes import PolygonPatch
 
-import matplotlib
 matplotlib.use('Agg')
-import matplotlib.pyplot as plt
-
 import os.path
 
+import matplotlib.pyplot as plt
 from polar import toPolar