Revert changes

Author: FabioRosado

doc/source/10min.rst

@@ -645,7 +645,7 @@ the quarter end:
    ts.index = (prng.asfreq('M', 'e') + 1).asfreq('H', 's') + 9
    ts.head()
 
-Categorical
+Categoricals
 ------------
 
 pandas can include categorical data in a ``DataFrame``. For full docs, see the

doc/source/advanced.rst

@@ -387,7 +387,7 @@ Furthermore you can *set* the values using the following methods.
    df2.loc(axis=0)[:, :, ['C1', 'C3']] = -10
    df2
 
-You can use a right-hand-side of an align object as well.
+You can use a right-hand-side of an alignable object as well.
 
 .. ipython:: python
 
@@ -593,7 +593,7 @@ Take Methods
 
 Similar to NumPy ndarrays, pandas Index, Series, and DataFrame also provides
 the ``take`` method that retrieves elements along a given axis at the given
-indexes. The given indexes must be either a list or an ndarray of integer
+indexes. The given indices must be either a list or an ndarray of integer
 index positions. ``take`` will also accept negative integers as relative positions to the end of the object.
 
 .. ipython:: python
@@ -711,7 +711,7 @@ order is ``cab``).
 
    df2.sort_index()
 
-Group by operations on the index will preserve the index nature as well.
+Groupby operations on the index will preserve the index nature as well.
 
 .. ipython:: python
 

doc/source/conf.py

@@ -64,22 +64,21 @@
               'sphinx.ext.extlinks',
               'sphinx.ext.todo',
               'numpydoc',
-              # 'IPython.sphinxext.ipython_directive',
-              # 'IPython.sphinxext.ipython_console_highlighting',
-              # 'matplotlib.sphinxext.plot_directive',
+              'IPython.sphinxext.ipython_directive',
+              'IPython.sphinxext.ipython_console_highlighting',
+              'matplotlib.sphinxext.plot_directive',
               'sphinx.ext.intersphinx',
               'sphinx.ext.coverage',
               'sphinx.ext.mathjax',
               'sphinx.ext.ifconfig',
               'sphinx.ext.linkcode',
-              # 'nbsphinx',
+              'nbsphinx',
               'sphinxcontrib.spelling'
               ]
 
 exclude_patterns = ['**.ipynb_checkpoints']
 
 spelling_word_list_filename = 'spelling_wordlist.txt'
-spelling_show_suggestions = False
 spelling_ignore_pypi_package_names = True
 
 with open("index.rst") as f:

doc/source/cookbook.rst

@@ -723,7 +723,7 @@ Rolling Apply to multiple columns where function returns a Scalar (Volume Weight
    s = pd.concat([ (pd.Series(vwap(df.iloc[i:i+window]), index=[df.index[i+window]])) for i in range(len(df)-window) ]);
    s.round(2)
 
-Time series
+Timeseries
 ----------
 
 `Between times

doc/source/spelling_wordlist.txt

@@ -13,6 +13,7 @@ iterables
 sparsified
 df
 loc
+Timeseries
 ndarrays
 ndarray
 dtype
@@ -2542,9 +2543,6 @@ fromDict
 levshape
 putmask
 asi
-
-
-
-
+repl