.. only:: html
.. note::
:class: sphx-glr-download-link-note
Click :ref:`here ` to download the full example code
.. rst-class:: sphx-glr-example-title
.. _sphx_glr_gallery_axes_grid1_scatter_hist_locatable_axes.py:
==================================
Scatter Histogram (Locatable Axes)
==================================
Show the marginal distributions of a scatter as histograms at the sides of
the plot.
For a nice alignment of the main axes with the marginals, the axes positions
are defined by a ``Divider``, produced via `.make_axes_locatable`.
An alternative method to produce a similar figure is shown in the
:doc:`/gallery/lines_bars_and_markers/scatter_hist` example. The advantage of
the locatable axes method shown below is that the marginal axes follow the
fixed aspect ratio of the main axes.
.. code-block:: default
import numpy as np
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import make_axes_locatable
# Fixing random state for reproducibility
np.random.seed(19680801)
# the random data
x = np.random.randn(1000)
y = np.random.randn(1000)
fig, ax = plt.subplots(figsize=(5.5, 5.5))
# the scatter plot:
ax.scatter(x, y)
# Set aspect of the main axes.
ax.set_aspect(1.)
# create new axes on the right and on the top of the current axes
divider = make_axes_locatable(ax)
# below height and pad are in inches
ax_histx = divider.append_axes("top", 1.2, pad=0.1, sharex=ax)
ax_histy = divider.append_axes("right", 1.2, pad=0.1, sharey=ax)
# make some labels invisible
ax_histx.xaxis.set_tick_params(labelbottom=False)
ax_histy.yaxis.set_tick_params(labelleft=False)
# now determine nice limits by hand:
binwidth = 0.25
xymax = max(np.max(np.abs(x)), np.max(np.abs(y)))
lim = (int(xymax/binwidth) + 1)*binwidth
bins = np.arange(-lim, lim + binwidth, binwidth)
ax_histx.hist(x, bins=bins)
ax_histy.hist(y, bins=bins, orientation='horizontal')
# the xaxis of ax_histx and yaxis of ax_histy are shared with ax,
# thus there is no need to manually adjust the xlim and ylim of these
# axis.
ax_histx.set_yticks([0, 50, 100])
ax_histy.set_xticks([0, 50, 100])
plt.show()
.. image:: /gallery/axes_grid1/images/sphx_glr_scatter_hist_locatable_axes_001.png
:alt: scatter hist locatable axes
:class: sphx-glr-single-img
------------
References
""""""""""
The use of the following functions, methods and classes is shown
in this example:
.. code-block:: default
import matplotlib
import mpl_toolkits
mpl_toolkits.axes_grid1.axes_divider.make_axes_locatable
matplotlib.axes.Axes.set_aspect
matplotlib.axes.Axes.scatter
matplotlib.axes.Axes.hist
.. rst-class:: sphx-glr-script-out
Out:
.. code-block:: none
.. _sphx_glr_download_gallery_axes_grid1_scatter_hist_locatable_axes.py:
.. only :: html
.. container:: sphx-glr-footer
:class: sphx-glr-footer-example
.. container:: sphx-glr-download sphx-glr-download-python
:download:`Download Python source code: scatter_hist_locatable_axes.py `
.. container:: sphx-glr-download sphx-glr-download-jupyter
:download:`Download Jupyter notebook: scatter_hist_locatable_axes.ipynb `
.. only:: html
.. rst-class:: sphx-glr-signature
Keywords: matplotlib code example, codex, python plot, pyplot
`Gallery generated by Sphinx-Gallery
`_