Revert changes on some terms. Add two lists of words - one for names one for terms

Author: FabioRosado

doc/source/advanced.rst

@@ -611,7 +611,7 @@ index positions. ``take`` will also accept negative integers as relative positio
    ser.iloc[positions]
    ser.take(positions)
 
-For DataFrames, the given indexes should be a 1d list or ndarray that specifies
+For DataFrames, the given indices should be a 1d list or ndarray that specifies
 row or column positions.
 
 .. ipython:: python
@@ -623,7 +623,7 @@ row or column positions.
    frm.take([0, 2], axis=1)
 
 It is important to note that the ``take`` method on pandas objects are not
-intended to work on boolean indexes and may return unexpected results.
+intended to work on boolean indices and may return unexpected results.
 
 .. ipython:: python
 

doc/source/categorical.rst

@@ -370,7 +370,7 @@ Renaming categories is done by assigning new values to the
 
 .. note::
 
-    Be aware that assigning new categories is an in place operation, while most other operations
+    Be aware that assigning new categories is an inplace operation, while most other operations
     under ``Series.cat`` per default return a new ``Series`` of dtype `category`.
 
 Categories must be unique or a `ValueError` is raised:

doc/source/comparison_with_sql.rst

@@ -228,9 +228,9 @@ Grouping by more than one column is done by passing a list of columns to the
 JOIN
 ----
 JOINs can be performed with :meth:`~pandas.DataFrame.join` or :meth:`~pandas.merge`. By default,
-:meth:`~pandas.DataFrame.join` will join the DataFrames on their indexes. Each method has
+:meth:`~pandas.DataFrame.join` will join the DataFrames on their indices. Each method has
 parameters allowing you to specify the type of join to perform (LEFT, RIGHT, INNER, FULL) or the
-columns to join on (column names or indexes).
+columns to join on (column names or indices).
 
 .. ipython:: python
 

doc/source/conf.py

@@ -78,7 +78,7 @@
 
 exclude_patterns = ['**.ipynb_checkpoints']
 
-spelling_word_list_filename = 'spelling_wordlist.txt'
+spelling_word_list_filename = ['spelling_wordlist.txt', 'names_wordlist.txt']
 spelling_ignore_pypi_package_names = True
 
 with open("index.rst") as f:

doc/source/contributing_docstring.rst

@@ -513,7 +513,7 @@ instead of at the beginning, it is good to let the users know about it.
 To give an intuition on what can be considered related, here there are some
 examples:
 
-* ``loc`` and ``iloc``, as they do the same, but in one case providing indexes
+* ``loc`` and ``iloc``, as they do the same, but in one case providing indices
   and in the other positions
 * ``max`` and ``min``, as they do the opposite
 * ``iterrows``, ``itertuples`` and ``iteritems``, as it is easy that a user
@@ -692,7 +692,7 @@ the standard library go first, followed by third-party libraries (like
 matplotlib).
 
 When illustrating examples with a single ``Series`` use the name ``s``, and if
-illustrating with a single ``DataFrame`` use the name ``df``. For indexes,
+illustrating with a single ``DataFrame`` use the name ``df``. For indices,
 ``idx`` is the preferred name. If a set of homogeneous ``Series`` or
 ``DataFrame`` is used, name them ``s1``, ``s2``, ``s3``...  or ``df1``,
 ``df2``, ``df3``... If the data is not homogeneous, and more than one structure

doc/source/dsintro.rst

@@ -882,7 +882,7 @@ dictionary of DataFrames as above, and the following named parameters:
    :header: "Parameter", "Default", "Description"
    :widths: 10, 10, 40
 
-   intersect, ``False``, drops elements whose indexes do not align
+   intersect, ``False``, drops elements whose indices do not align
    orient, ``items``, use ``minor`` to use DataFrames' columns as panel items
 
 For example, compare to the construction above:

doc/source/enhancingperf.rst

@@ -601,7 +601,7 @@ on the original ``DataFrame`` or return a copy with the new column.
 
    For backwards compatibility, ``inplace`` defaults to ``True`` if not
    specified. This will change in a future version of pandas - if your
-   code depends on an in place assignment you should update to explicitly
+   code depends on an inplace assignment you should update to explicitly
    set ``inplace=True``.
 
 .. ipython:: python

doc/source/groupby.rst

@@ -942,7 +942,7 @@ that is itself a series, and possibly upcast the result to a DataFrame:
 
    ``apply`` can act as a reducer, transformer, *or* filter function, depending on exactly what is passed to it.
    So depending on the path taken, and exactly what you are grouping. Thus the grouped columns(s) may be included in
-   the output as well as set the indexes.
+   the output as well as set the indices.
 
 .. warning::
 
@@ -1328,7 +1328,7 @@ Groupby by Indexer to 'resample' data
 
 Resampling produces new hypothetical samples (resamples) from already existing observed data or from a model that generates data. These new samples are similar to the pre-existing samples.
 
-In order to resample to work on indexes that are non-datetimelike, the following procedure can be utilized.
+In order to resample to work on indices that are non-datetimelike, the following procedure can be utilized.
 
 In the following examples, **df.index // 5** returns a binary array which is used to determine what gets selected for the groupby operation.
 

doc/source/io.rst

@@ -2756,7 +2756,7 @@ Specifying Sheets
 - The arguments ``sheet_name`` allows specifying the sheet or sheets to read.
 - The default value for ``sheet_name`` is 0, indicating to read the first sheet
 - Pass a string to refer to the name of a particular sheet in the workbook.
-- Pass an integer to refer to the index of a sheet. Indexes follow Python
+- Pass an integer to refer to the index of a sheet. Indices follow Python
   convention, beginning at 0.
 - Pass a list of either strings or integers, to return a dictionary of specified sheets.
 - Pass a ``None`` to return a dictionary of all available sheets.