CLN: fix all flake8 warnings in pandas/io

pandas/io/api.py

@@ -2,6 +2,8 @@
 Data IO api
 """
 
+# flake8: noqa
+
 from pandas.io.parsers import read_csv, read_table, read_fwf
 from pandas.io.clipboard import read_clipboard
 from pandas.io.excel import ExcelFile, ExcelWriter, read_excel

pandas/io/clipboard.py

@@ -42,7 +42,7 @@ def read_clipboard(**kwargs):  # pragma: no cover
     # 1  3  4
 
     counts = set([x.lstrip().count('\t') for x in lines])
-    if len(lines)>1 and len(counts) == 1 and counts.pop() != 0:
+    if len(lines) > 1 and len(counts) == 1 and counts.pop() != 0:
         kwargs['sep'] = '\t'
 
     if kwargs.get('sep') is None and kwargs.get('delim_whitespace') is None:

pandas/io/common.py

@@ -30,20 +30,19 @@
     from urllib.request import urlopen, pathname2url
     _urlopen = urlopen
     from urllib.parse import urlparse as parse_url
-    import urllib.parse as compat_parse
     from urllib.parse import (uses_relative, uses_netloc, uses_params,
                               urlencode, urljoin)
     from urllib.error import URLError
-    from http.client import HTTPException
+    from http.client import HTTPException  # noqa
 else:
     from urllib2 import urlopen as _urlopen
-    from urllib import urlencode, pathname2url
+    from urllib import urlencode, pathname2url  # noqa
     from urlparse import urlparse as parse_url
     from urlparse import uses_relative, uses_netloc, uses_params, urljoin
-    from urllib2 import URLError
-    from httplib import HTTPException
-    from contextlib import contextmanager, closing
-    from functools import wraps
+    from urllib2 import URLError  # noqa
+    from httplib import HTTPException  # noqa
+    from contextlib import contextmanager, closing  # noqa
+    from functools import wraps  # noqa
 
     # @wraps(_urlopen)
     @contextmanager
@@ -66,6 +65,7 @@ class DtypeWarning(Warning):
 
 try:
     from boto.s3 import key
+
     class BotoFileLikeReader(key.Key):
         """boto Key modified to be more file-like
 
@@ -78,10 +78,12 @@ class BotoFileLikeReader(key.Key):
         Also adds a `readline` function which will split the returned
         values by the `\n` character.
         """
+
         def __init__(self, *args, **kwargs):
             encoding = kwargs.pop("encoding", None)  # Python 2 compat
             super(BotoFileLikeReader, self).__init__(*args, **kwargs)
-            self.finished_read = False  # Add a flag to mark the end of the read.
+            # Add a flag to mark the end of the read.
+            self.finished_read = False
             self.buffer = ""
             self.lines = []
             if encoding is None and compat.PY3:
@@ -121,7 +123,8 @@ def readline(self):
                     raise StopIteration
 
             if self.encoding:
-                self.buffer = "{}{}".format(self.buffer, self.read(8192).decode(self.encoding))
+                self.buffer = "{}{}".format(
+                    self.buffer, self.read(8192).decode(self.encoding))
             else:
                 self.buffer = "{}{}".format(self.buffer, self.read(8192))
 
@@ -211,13 +214,15 @@ def _expand_user(filepath_or_buffer):
         return os.path.expanduser(filepath_or_buffer)
     return filepath_or_buffer
 
+
 def _validate_header_arg(header):
     if isinstance(header, bool):
         raise TypeError("Passing a bool to header is invalid. "
                         "Use header=None for no header or "
                         "header=int or list-like of ints to specify "
                         "the row(s) making up the column names")
 
+
 def _stringify_path(filepath_or_buffer):
     """Return the argument coerced to a string if it was a pathlib.Path
        or a py.path.local
@@ -263,8 +268,9 @@ def get_filepath_or_buffer(filepath_or_buffer, encoding=None,
             else:
                 compression = None
         # cat on the compression to the tuple returned by the function
-        to_return = list(maybe_read_encoded_stream(req, encoding, compression)) + \
-                    [compression]
+        to_return = (list(maybe_read_encoded_stream(req, encoding,
+                                                    compression)) +
+                     [compression])
         return tuple(to_return)
 
     if _is_s3_url(filepath_or_buffer):
@@ -467,4 +473,4 @@ def _check_as_is(x):
             # write to the target stream
             self.stream.write(data)
             # empty queue
-            self.queue.truncate(0)
+            self.queue.truncate(0)

pandas/io/data.py

@@ -3,6 +3,8 @@
 
 
 """
+# flake8: noqa
+
 import warnings
 import tempfile
 import datetime as dt