Fix typos

Author: FabioRosado

doc/source/conf.py

@@ -64,22 +64,22 @@
               '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 = True
+spelling_show_suggestions = False
 spelling_ignore_pypi_package_names = True
 
 with open("index.rst") as f:

doc/source/io.rst

@@ -868,7 +868,7 @@ data columns:
    df
 
 .. note::
-   If a column or index contains an unparseable date, the entire column or
+   If a column or index contains an unparsable date, the entire column or
    index will be returned unaltered as an object data type. For non-standard
    datetime parsing, use :func:`to_datetime` after ``pd.read_csv``.
 
@@ -1812,7 +1812,7 @@ Writing to a file, with a date index and a date column:
    dfj2.to_json('test.json')
    open('test.json').read()
 
-Fallback Behavior
+Fall-back Behavior
 +++++++++++++++++
 
 If the JSON serializer cannot handle the container contents directly it will
@@ -4721,7 +4721,7 @@ writes ``data`` to the database in batches of 1000 rows at a time:
 
 .. note::
 
-    The function :func:`~pandas.DataFrame.to_sql` will perform a multivalue
+    The function :func:`~pandas.DataFrame.to_sql` will perform a multi-value
     insert if the engine dialect ``supports_multivalues_insert``. This will
     greatly speed up the insert in some cases.
 

doc/source/merging.rst

@@ -895,7 +895,7 @@ The merged result:
 
 .. note::
 
-   Merging on ``category`` dtypes that are the same can be quite performant compared to ``object`` dtype merging.
+   Merging on ``category`` dtypes that are the same can be quite efficient compared to ``object`` dtype merging.
 
 .. _merging.join.index:
 
@@ -1310,7 +1310,7 @@ For this, use the :meth:`~DataFrame.combine_first` method:
 
 Note that this method only takes values from the right ``DataFrame`` if they are
 missing in the left ``DataFrame``. A related method, :meth:`~DataFrame.update`, 
-alters non-NA values inplace:
+alters non-NA values in place:
 
 .. ipython:: python
    :suppress:

doc/source/missing_data.rst

@@ -25,7 +25,7 @@ pandas.
     for simplicity and performance reasons. It differs from the MaskedArray
     approach of, for example, :mod:`scikits.timeseries`. We are hopeful that
     NumPy will soon be able to provide a native NA type solution (similar to R)
-    performant enough to be used in pandas.
+    efficient enough to be used in pandas.
 
 See the :ref:`cookbook<cookbook.missing_data>` for some advanced strategies.
 
@@ -105,7 +105,7 @@ Datetimes
 
 For datetime64[ns] types, ``NaT`` represents missing values. This is a pseudo-native
 sentinel value that can be represented by NumPy in a singular dtype (datetime64[ns]).
-pandas objects provide intercompatibility between ``NaT`` and ``NaN``.
+pandas objects provide compatibility between ``NaT`` and ``NaN``.
 
 .. ipython:: python
 
@@ -349,7 +349,7 @@ Interpolation
   The ``limit_area`` keyword argument was added.
 
 Both Series and DataFrame objects have :meth:`~DataFrame.interpolate`
-that, by default, performs linear interpolation at missing datapoints.
+that, by default, performs linear interpolation at missing data points.
 
 .. ipython:: python
    :suppress:

doc/source/options.rst

@@ -149,7 +149,7 @@ More information can be found in the `ipython documentation
 
 Frequently Used Options
 -----------------------
-The following is a walkthrough of the more frequently used display options.
+The following is a walk-through of the more frequently used display options.
 
 ``display.max_rows`` and ``display.max_columns`` sets the maximum number
 of rows and columns displayed when a frame is pretty-printed.  Truncated