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Jul 22, 2022
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DOC: Updating some capitalization in doc/source/user_guide #32550 #47732

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DOC: Updating some capitalization in doc/source/user_guide #32550
SomtochiUmeh Jul 15, 2022
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DOC: Updating some capitalization in doc/source/user_guide #32550
SomtochiUmeh Jul 17, 2022
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DOC: Updating some capitalization in doc/source/user_guide #32550
SomtochiUmeh Jul 18, 2022
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2 changes: 1 addition & 1 deletion doc/source/user_guide/missing_data.rst
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Expand Up @@ -874,7 +874,7 @@ is already ``False``):
True & pd.NA


``NA`` in a boolean context
``NA`` in a Boolean context
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"boolean" doesn't refer to a Boolean class, so it can be left lower case I think?

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Alright.

---------------------------

Since the actual value of an NA is unknown, it is ambiguous to convert NA
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2 changes: 1 addition & 1 deletion doc/source/user_guide/sparse.rst
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Expand Up @@ -266,7 +266,7 @@ have no replacement.

.. _sparse.scipysparse:

Interaction with scipy.sparse
Interaction with SciPy.sparse
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leave this one (could make it italitc or code style though)

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Noted

-----------------------------
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Can you also adapt the underline?

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I'm not sure what you mean here

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I understand now; I'm meant to extend the underline to be the same length as the text

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Indeed


Use :meth:`DataFrame.sparse.from_spmatrix` to create a :class:`DataFrame` with sparse values from a sparse matrix.
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2 changes: 1 addition & 1 deletion doc/source/user_guide/timedeltas.rst
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Expand Up @@ -67,7 +67,7 @@ Further, operations among the scalars yield another scalar ``Timedelta``.
"00:00:00.000123"
)

to_timedelta
To_timedelta
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i would leave this one

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Okay

~~~~~~~~~~~~

Using the top-level ``pd.to_timedelta``, you can convert a scalar, array, list,
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8 changes: 4 additions & 4 deletions doc/source/user_guide/timeseries.rst
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Expand Up @@ -3,7 +3,7 @@
{{ header }}

********************************
Time series / date functionality
Time Series / date functionality
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Since it is not a single word, is there a specific reason to capitalize Series?

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Oh I see. I'll correct that.

********************************

pandas contains extensive capabilities and features for working with time series data for all domains.
Expand Down Expand Up @@ -388,7 +388,7 @@ We subtract the epoch (midnight at January 1, 1970 UTC) and then floor divide by

.. _timeseries.origin:

Using the ``origin`` Parameter
Using the ``origin`` parameter
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Using the ``origin`` parameter, one can specify an alternative starting point for creation
Expand Down Expand Up @@ -1523,7 +1523,7 @@ or calendars with additional rules.

.. _timeseries.advanced_datetime:

Time series-related instance methods
Time Series-related instance methods
------------------------------------

Shifting / lagging
Expand Down Expand Up @@ -2601,7 +2601,7 @@ Transform nonexistent times to ``NaT`` or shift the times.

.. _timeseries.timezone_series:

Time zone series operations
Time zone Series operations
~~~~~~~~~~~~~~~~~~~~~~~~~~~

A :class:`Series` with time zone **naive** values is
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4 changes: 2 additions & 2 deletions doc/source/user_guide/visualization.rst
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Expand Up @@ -3,7 +3,7 @@
{{ header }}

*******************
Chart Visualization
Chart visualization
*******************

This section demonstrates visualization through charting. For information on
Expand Down Expand Up @@ -1746,7 +1746,7 @@ Andrews curves charts:

plt.close("all")

Plotting directly with matplotlib
Plotting directly with Matplotlib
---------------------------------

In some situations it may still be preferable or necessary to prepare plots
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4 changes: 2 additions & 2 deletions doc/source/user_guide/window.rst
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Expand Up @@ -3,7 +3,7 @@
{{ header }}

********************
Windowing Operations
Windowing operations
********************

pandas contains a compact set of APIs for performing windowing operations - an operation that performs
Expand Down Expand Up @@ -490,7 +490,7 @@ For all supported aggregation functions, see :ref:`api.functions_expanding`.

.. _window.exponentially_weighted:

Exponentially Weighted window
Exponentially weighted window
-----------------------------

An exponentially weighted window is similar to an expanding window but with each prior point
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