DOC: Use pydata theme everywhere

Examine pydata theme on rtd

Author: bashtage

docs/source/conf.py

@@ -12,22 +12,12 @@
 #
 # All configuration values have a default; values that are commented out
 # serve to show the default.
-
-import os
-
 import pandas_datareader as pdr
 
 # Add any Sphinx extension module names here, as strings. They can be
 # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
 # ones.
 
-
-on_rtd = os.environ.get("READTHEDOCS", None) == "True"
-if on_rtd:
-    import sphinx_rtd_theme
-else:
-    import pydata_sphinx_theme  # noqa: F401
-
 # If extensions (or modules to document with autodoc) are in another directory,
 # add these directories to sys.path here. If the directory is relative to the
 # documentation root, use os.path.abspath to make it absolute, like shown here.
@@ -109,16 +99,11 @@
 
 # The theme to use for HTML and HTML Help pages.  See the documentation for
 # a list of builtin themes.
-if on_rtd:
-    html_theme = "sphinx_rtd_theme"
-    html_theme_path = [sphinx_rtd_theme.get_html_theme_path()]
-else:
-    html_theme = "pydata_sphinx_theme"
-    # html_theme_path = pydata_sphinx_theme.get_html_theme_path()
-    html_theme_options = {
-        "external_links": [],
-        "github_url": "https://github.com/pydata/pandas-datareader",
-    }
+html_theme = "pydata_sphinx_theme"
+html_theme_options = {
+    "external_links": [],
+    "github_url": "https://github.com/pydata/pandas-datareader",
+}
 
 # Theme options are theme-specific and customize the look and feel of a theme
 # further.  For a list of options available for each theme, see the

pandas_datareader/data.py

@@ -45,7 +45,6 @@
 from pandas_datareader.yahoo.options import Options as YahooOptions
 from pandas_datareader.yahoo.quotes import YahooQuotesReader
 
-
 __all__ = [
     "get_components_yahoo",
     "get_data_enigma",

pandas_datareader/naver.py

@@ -3,9 +3,10 @@
 
 import numpy as np
 from pandas import DataFrame, to_datetime
-from pandas_datareader.base import _DailyBaseReader
 from six import string_types
 
+from pandas_datareader.base import _DailyBaseReader
+
 
 class NaverDailyReader(_DailyBaseReader):
     """Fetches daily historical data from Naver Finance.

pandas_datareader/tests/test_naver.py

@@ -1,8 +1,9 @@
 from datetime import datetime
 
-from pandas_datareader import DataReader
 import pytest
 
+from pandas_datareader import DataReader
+
 
 class TestNaver(object):
     @pytest.mark.parametrize(