.. _sphx_glr_gallery_recipes_create_subplots.py: Easily creating subplots ======================== In early versions of matplotlib, if you wanted to use the pythonic API and create a figure instance and from that create a grid of subplots, possibly with shared axes, it involved a fair amount of boilerplate code. e.g. .. code-block:: python import matplotlib.pyplot as plt import numpy as np x = np.random.randn(50) # old style fig = plt.figure() ax1 = fig.add_subplot(221) ax2 = fig.add_subplot(222, sharex=ax1, sharey=ax1) ax3 = fig.add_subplot(223, sharex=ax1, sharey=ax1) ax3 = fig.add_subplot(224, sharex=ax1, sharey=ax1) .. image:: /gallery/recipes/images/sphx_glr_create_subplots_001.png :align: center Fernando Perez has provided a nice top level method to create in :func:`~matplotlib.pyplots.subplots` (note the "s" at the end) everything at once, and turn on x and y sharing for the whole bunch. You can either unpack the axes individually:: .. code-block:: python # new style method 1; unpack the axes fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, sharex=True, sharey=True) ax1.plot(x) .. image:: /gallery/recipes/images/sphx_glr_create_subplots_002.png :align: center or get them back as a numrows x numcolumns object array which supports numpy indexing .. code-block:: python # new style method 2; use an axes array fig, axs = plt.subplots(2, 2, sharex=True, sharey=True) axs[0, 0].plot(x) .. image:: /gallery/recipes/images/sphx_glr_create_subplots_003.png :align: center **Total running time of the script:** ( 0 minutes 0.211 seconds) .. only :: html .. container:: sphx-glr-footer .. container:: sphx-glr-download :download:`Download Python source code: create_subplots.py ` .. container:: sphx-glr-download :download:`Download Jupyter notebook: create_subplots.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_