Correct most flake8 warnings

csvkit/grep.py

@@ -11,20 +11,20 @@ class FilteringCSVReader(six.Iterator):
     If 'header' is False, then all rows must pass the filter; by default, the first row will be passed
     through untested.
 
-    The value of patterns may be either a sequence or a dictionary.  Items in the sequence and values in the 
-    dictionary may be strings, regular expressions, or functions.  For each row in the wrapped iterator, 
-    these values will be used as tests, and the row will only be yielded by the filter if all values pass 
+    The value of patterns may be either a sequence or a dictionary.  Items in the sequence and values in the
+    dictionary may be strings, regular expressions, or functions.  For each row in the wrapped iterator,
+    these values will be used as tests, and the row will only be yielded by the filter if all values pass
     their corresponding tests.  This behavior can be toggled so that all rows which pass any of the tests
     will be yielded by specifying "any_match=True" in the constructor.
 
     Empty values (the blank string or None) not be tested; the value in that position will not affect whether
     or not the filtering reader yields a prospective row.  To test for explicitly blank, use a regular
     expression such as "^$" or "^\s*$"
 
-    If patterns is a dictionary, the keys can be integers identifying indices in the input rows, or, if 'header' 
+    If patterns is a dictionary, the keys can be integers identifying indices in the input rows, or, if 'header'
     is True (as it is by default), they can be strings matching column names in the first row of the reader.
 
-    If patterns is a sequence, then it is assumed that they will be applied to the 
+    If patterns is a sequence, then it is assumed that they will be applied to the
     equivalently positioned values in the test rows.
 
     By specifying 'inverse=True', only rows which do not match the patterns will be passed by the filter. The header,
@@ -80,9 +80,9 @@ def test_row(self, row):
 
 def standardize_patterns(column_names, patterns):
     """
-    Given patterns in any of the permitted input forms, return a dict whose keys 
+    Given patterns in any of the permitted input forms, return a dict whose keys
     are column indices and whose values are functions which return a boolean value whether the value passes.
-    If patterns is a dictionary and any of its keys are values in column_names, the returned dictionary will 
+    If patterns is a dictionary and any of its keys are values in column_names, the returned dictionary will
     have those keys replaced with the integer position of that value in column_names
     """
     try:

csvkit/table.py

@@ -273,7 +273,7 @@ def to_rows(self, serialize_dates=False):
             for c in self:
                 # Stringify datetimes, dates, and times
                 if c.type in [datetime.datetime, datetime.date, datetime.time]:
-                    out_columns.append([six.text_type(v.isoformat()) if v != None else None for v in c])
+                    out_columns.append([six.text_type(v.isoformat()) if v is not None else None for v in c])
                 else:
                     out_columns.append(c)
 

csvkit/typeinference.py

@@ -21,7 +21,7 @@
 def normalize_column_type(l, normal_type=None, blanks_as_nulls=True):
     """
     Attempts to normalize a list (column) of string values to booleans, integers,
-    floats, dates, times, datetimes, or strings. NAs and missing values are converted 
+    floats, dates, times, datetimes, or strings. NAs and missing values are converted
     to empty strings. Empty strings are converted to nulls in the case of non-string
     types. For string types (unicode), empty strings are converted to nulls unless
     blanks_as_nulls is false.

csvkit/utilities/csvgrep.py

@@ -2,7 +2,6 @@
 
 import itertools
 import re
-import sys
 from argparse import FileType
 
 import agate

csvkit/utilities/csvstat.py

@@ -106,7 +106,7 @@ def main(self):
 
                 self.output_file.write(('%3i. %s\n' % (c.order + 1, c.name)))
 
-                if c.type == None:
+                if c.type is None:
                     self.output_file.write('\tEmpty column\n')
                     continue
 

docs/conf.py

@@ -68,7 +68,7 @@
 # Add any paths that contain custom static files (such as style sheets) here,
 # relative to this directory. They are copied after the builtin static files,
 # so a file named "default.css" will overwrite the builtin "default.css".
-#html_static_path = ['_static']
+# html_static_path = ['_static']
 
 # Output file base name for HTML help builder.
 htmlhelp_basename = 'csvkitdoc'

tests/test_convert/test_dbf.py

@@ -5,8 +5,6 @@
 except ImportError:
     import unittest
 
-import six
-
 from csvkit.convert import dbase