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DOC: make shared include for air quality data card header
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‎doc/source/getting_started/intro_tutorials/04_plotting.rst

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import pandas as pd
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import matplotlib.pyplot as plt
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.. raw:: html
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<div class="card gs-data">
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<div class="card-header">
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<div class="gs-data-title">
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Data used for this tutorial:
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</div>
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</div>
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<ul class="list-group list-group-flush">
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<li class="list-group-item">
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<div data-toggle="collapse" href="#collapsedata" role="button" aria-expanded="false" aria-controls="collapsedata">
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<span class="badge badge-dark">Air quality data</span>
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</div>
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<div class="collapse" id="collapsedata">
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<div class="card-body">
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<p class="card-text">
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For this tutorial, air quality data about :math:`NO_2` is used, made
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available by `openaq <https://openaq.org>`__ and using the
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`py-openaq <http://dhhagan.github.io/py-openaq/index.html>`__ package.
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The ``air_quality_no2.csv`` data set provides :math:`NO_2` values for
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the measurement stations *FR04014*, *BETR801* and *London Westminster*
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in respectively Paris, Antwerp and London.
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.. raw:: html
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</p>
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<a href="https://github.com/pandas-dev/pandas/tree/master/doc/data/air_quality_no2.csv" class="btn btn-dark btn-sm">To raw data</a>
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</div>
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</div>
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.. ipython:: python
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air_quality = pd.read_csv("data/air_quality_no2.csv", index_col=0, parse_dates=True)
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air_quality.head()
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.. note::
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The usage of the ``index_col`` and ``parse_dates`` parameters of the ``read_csv`` function to define the first (0th) column as
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index of the resulting ``DataFrame`` and convert the dates in the column to :class:`Timestamp` objects, respectively.
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.. raw:: html
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</li>
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</ul>
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</div>
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.. include:: air_quality_no2.rst
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How to create plots in pandas?
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------------------------------

‎doc/source/getting_started/intro_tutorials/05_add_columns.rst

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import pandas as pd
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.. raw:: html
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<div class="card gs-data">
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<div class="card-header">
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<div class="gs-data-title">
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Data used for this tutorial:
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</div>
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</div>
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<ul class="list-group list-group-flush">
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<li class="list-group-item">
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<div data-toggle="collapse" href="#collapsedata" role="button" aria-expanded="false" aria-controls="collapsedata">
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<span class="badge badge-dark">Air quality data</span>
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</div>
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<div class="collapse" id="collapsedata">
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<div class="card-body">
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<p class="card-text">
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For this tutorial, air quality data about :math:`NO_2` is used, made
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available by `openaq <https://openaq.org>`__ and using the
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`py-openaq <http://dhhagan.github.io/py-openaq/index.html>`__ package.
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The ``air_quality_no2.csv`` data set provides :math:`NO_2` values for
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the measurement stations *FR04014*, *BETR801* and *London Westminster*
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in respectively Paris, Antwerp and London.
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.. raw:: html
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</p>
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<a href="https://github.com/pandas-dev/pandas/tree/master/doc/data/air_quality_no2.csv" class="btn btn-dark btn-sm">To raw data</a>
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</div>
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</div>
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.. ipython:: python
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air_quality = pd.read_csv("data/air_quality_no2.csv", index_col=0, parse_dates=True)
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air_quality.head()
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.. raw:: html
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</li>
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</ul>
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</div>
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.. include:: air_quality_no2.rst
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How to create new columns derived from existing columns?
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--------------------------------------------------------

‎doc/source/getting_started/intro_tutorials/air_quality_no2.rst

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.. raw:: html
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<div class="card gs-data">
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<div class="card-header">
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<div class="gs-data-title">
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Data used for this tutorial:
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</div>
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</div>
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<ul class="list-group list-group-flush">
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<li class="list-group-item">
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<div data-toggle="collapse" href="#collapsedata" role="button" aria-expanded="false" aria-controls="collapsedata">
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<span class="badge badge-dark">Air quality data</span>
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</div>
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<div class="collapse" id="collapsedata">
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<div class="card-body">
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<p class="card-text">
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For this tutorial, air quality data about :math:`NO_2` is used, made
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available by `openaq <https://openaq.org>`__ and using the
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`py-openaq <http://dhhagan.github.io/py-openaq/index.html>`__ package.
21+
The ``air_quality_no2.csv`` data set provides :math:`NO_2` values for
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the measurement stations *FR04014*, *BETR801* and *London Westminster*
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in respectively Paris, Antwerp and London.
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.. raw:: html
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</p>
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<a href="https://github.com/pandas-dev/pandas/tree/master/doc/data/air_quality_no2.csv" class="btn btn-dark btn-sm">To raw data</a>
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</div>
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</div>
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.. ipython:: python
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air_quality = pd.read_csv("data/air_quality_no2.csv", index_col=0, parse_dates=True)
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air_quality.head()
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.. note::
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The usage of the ``index_col`` and ``parse_dates`` parameters of the ``read_csv`` function to define the first (0th) column as
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index of the resulting ``DataFrame`` and convert the dates in the column to :class:`Timestamp` objects, respectively.
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.. raw:: html
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</li>
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</ul>
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</div>

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