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DOC: Add explanation of index to 10min tutorial table-oriented section #63008

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10 changes: 8 additions & 2 deletions doc/source/getting_started/intro_tutorials/01_table_oriented.rst
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Expand Up @@ -54,6 +54,10 @@ I want to store passenger data of the Titanic. For a number of passengers, I kno
)
df

By default, pandas assigns an index (the row labels) starting from 0.
The index uniquely identifies each row in the ``DataFrame`` and is used for selecting and aligning data.


To manually store data in a table, create a ``DataFrame``. When using a Python dictionary of lists, the dictionary keys will be used as column headers and
the values in each list as columns of the ``DataFrame``.

Expand Down Expand Up @@ -118,8 +122,10 @@ You can create a ``Series`` from scratch as well:
ages = pd.Series([22, 35, 58], name="Age")
ages

A pandas ``Series`` has no column labels, as it is just a single column
of a ``DataFrame``. A Series does have row labels.
A ``Series`` does not have column labels because it represents a single column, but it does have an index (row labels).
The index is a fundamental part of both ``Series`` and ``DataFrame`` objects and is used for selecting, aligning, and manipulating data.
See the :ref:`indexing and selecting data <indexing>` section for more details.


Do something with a DataFrame or Series
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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