Clean up style

satpy/enhancements/__init__.py

@@ -44,19 +44,21 @@ def invert(img, *args):
 
 
 def cira_stretch(img, **kwargs):
-    """Logarithmic stretch adapted to human vision."""
+    """Logarithmic stretch adapted to human vision.
+
+    Applicable only for visible channels.
+    """
     LOG.debug("Applying the cira-stretch")
     for chn in img.channels:
         chn /= 100
         np.log10(chn.data, out=chn.data)
-        # chn[:] = np.ma.masked_invalid(chn)
         chn -= np.log10(0.0223)
         chn /= 1.0 - np.log10(0.0223)
         chn /= 0.75
 
 
 def lookup(img, **kwargs):
-    """Assigns values to channels based on a table"""
+    """Assign values to channels based on a table."""
     luts = np.array(kwargs['luts'], dtype=np.float32) / 255.0
 
     for idx, ch in enumerate(img.channels):
@@ -67,14 +69,12 @@ def lookup(img, **kwargs):
 
 def colorize(img, **kwargs):
     """Colorize the given image."""
-
     full_cmap = _merge_colormaps(kwargs)
     img.colorize(full_cmap)
 
 
 def palettize(img, **kwargs):
     """Palettize the given image (no color interpolation)."""
-
     full_cmap = _merge_colormaps(kwargs)
     img.palettize(full_cmap)
 
@@ -95,8 +95,7 @@ def _merge_colormaps(kwargs):
 
 
 def create_colormap(palette):
-    """Create colormap of the given numpy file, color vector or colormap template."""
-
+    """Create colormap of the given numpy file, color vector or colormap."""
     from trollimage.colormap import Colormap
     fname = palette.get('filename', None)
     if fname:

satpy/readers/hdfeos_l1b.py

@@ -34,21 +34,13 @@
 w=c&wchp=dGLzVlz-zSkWz&md5=bac5bc7a4f08007722ae793954f1dd63&ie=/sdarticle.pdf
 """
 
-import glob
-import hashlib
 import logging
-import math
-import multiprocessing
-import os.path
 from datetime import datetime
-from fnmatch import fnmatch
 
 import numpy as np
 from pyhdf.error import HDF4Error
 from pyhdf.SD import SD
 
-from pyresample import geometry
-from satpy.config import CONFIG_PATH
 from satpy.dataset import Dataset, DatasetID
 from satpy.readers.file_handlers import BaseFileHandler
 
@@ -143,6 +135,7 @@ def __init__(self, filename, filename_info, filetype_info):
         self.cache[1000]['lats'] = None
 
     def get_dataset(self, key, info, out=None, xslice=None, yslice=None):
+        """Get the dataset designated by *key*."""
         if key.name in ['solar_zenith_angle', 'solar_azimuth_angle',
                         'satellite_zenith_angle', 'satellite_azimuth_angle']:
 
@@ -189,6 +182,7 @@ def get_dataset(self, key, info, out=None, xslice=None, yslice=None):
             return Dataset(self.cache[key.resolution]['lons'], id=key, **info)
 
     def load(self, keys, interpolate=True, raw=False):
+        """Load the data."""
         projectables = []
         for key in keys:
             dataset = self.sd.select(key.name.capitalize())
@@ -200,7 +194,9 @@ def load(self, keys, interpolate=True, raw=False):
             data = np.ma.masked_equal(dataset.get(), fill_value) * scale_factor
 
             # TODO: interpolate if needed
-            if key.resolution is not None and key.resolution < self.resolution and interpolate:
+            if (key.resolution is not None and
+                    key.resolution < self.resolution and
+                    interpolate):
                 data = self._interpolate(data, self.resolution, key.resolution)
             if raw:
                 projectables.append(data)