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7 changes: 7 additions & 0 deletions doc/source/getting_started/intro_tutorials/04_plotting.rst
Original file line number Diff line number Diff line change
Expand Up @@ -49,6 +49,7 @@ How do I create plots in pandas?
I want a quick visual check of the data.

.. ipython:: python
:okwarning:

@savefig 04_airqual_quick.png
air_quality.plot()
Expand Down Expand Up @@ -78,6 +79,7 @@ I want to plot only the columns of the data table with the data from Paris.
plt.clf()

.. ipython:: python
:okwarning:

@savefig 04_airqual_paris.png
air_quality["station_paris"].plot()
Expand All @@ -101,6 +103,7 @@ method. Hence, the :meth:`~DataFrame.plot` method works on both ``Series`` and
I want to visually compare the :math:`NO_2` values measured in London versus Paris.

.. ipython:: python
:okwarning:

@savefig 04_airqual_scatter.png
air_quality.plot.scatter(x="station_london", y="station_paris", alpha=0.5)
Expand Down Expand Up @@ -133,6 +136,7 @@ One of the options is :meth:`DataFrame.plot.box`, which refers to a
method is applicable on the air quality example data:

.. ipython:: python
:okwarning:

@savefig 04_airqual_boxplot.png
air_quality.plot.box()
Expand All @@ -157,6 +161,7 @@ For an introduction to plots other than the default line plot, see the user guid
I want each of the columns in a separate subplot.

.. ipython:: python
:okwarning:

@savefig 04_airqual_area_subplot.png
axs = air_quality.plot.area(figsize=(12, 4), subplots=True)
Expand Down Expand Up @@ -190,6 +195,7 @@ Some more formatting options are explained in the user guide section on :ref:`pl
I want to further customize, extend or save the resulting plot.

.. ipython:: python
:okwarning:

fig, axs = plt.subplots(figsize=(12, 4))
air_quality.plot.area(ax=axs)
Expand All @@ -200,6 +206,7 @@ I want to further customize, extend or save the resulting plot.

.. ipython:: python
:suppress:
:okwarning:

import os

Expand Down