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User Guide

The User Guide covers all of pandas by topic area. Each of the subsections introduces a topic (such as "working with missing data"), and discusses how pandas approaches the problem, with many examples throughout.

Users brand-new to pandas should start with :ref:`10min`.

For a high level summary of the pandas fundamentals, see :ref:`dsintro` and :ref:`basics`.

Further information on any specific method can be obtained in the :ref:`api`.

How to read these guides

In these guides you will see input code inside code blocks such as:

import pandas as pd
pd.DataFrame({'A': [1, 2, 3]})

or:

.. ipython:: python

    import pandas as pd
    pd.DataFrame({'A': [1, 2, 3]})

The first block is a standard python input, while in the second the In [1]: indicates the input is inside a notebook. In Jupyter Notebooks the last line is printed and plots are shown inline.

For example:

.. ipython:: python

    a = 1
    a

is equivalent to:

a = 1
print(a)

Guides

.. toctree::
    :maxdepth: 2

    10min
    dsintro
    basics
    io
    pyarrow
    indexing
    advanced
    copy_on_write
    merging
    reshaping
    text
    missing_data
    duplicates
    categorical
    integer_na
    boolean
    visualization
    style
    groupby
    window
    timeseries
    timedeltas
    options
    enhancingperf
    scale
    sparse
    gotchas
    cookbook
    user_defined_functions