.. _sphx_glr_gallery_misc_findobj_demo.py: ============ Findobj Demo ============ Recursively find all objects that match some criteria .. image:: /gallery/misc/images/sphx_glr_findobj_demo_001.png :align: center .. code-block:: python import numpy as np import matplotlib.pyplot as plt import matplotlib.text as text a = np.arange(0, 3, .02) b = np.arange(0, 3, .02) c = np.exp(a) d = c[::-1] fig, ax = plt.subplots() plt.plot(a, c, 'k--', a, d, 'k:', a, c + d, 'k') plt.legend(('Model length', 'Data length', 'Total message length'), loc='upper center', shadow=True) plt.ylim([-1, 20]) plt.grid(False) plt.xlabel('Model complexity --->') plt.ylabel('Message length --->') plt.title('Minimum Message Length') # match on arbitrary function def myfunc(x): return hasattr(x, 'set_color') and not hasattr(x, 'set_facecolor') for o in fig.findobj(myfunc): o.set_color('blue') # match on class instances for o in fig.findobj(text.Text): o.set_fontstyle('italic') plt.show() **Total running time of the script:** ( 0 minutes 0.057 seconds) .. only :: html .. container:: sphx-glr-footer .. container:: sphx-glr-download :download:`Download Python source code: findobj_demo.py ` .. container:: sphx-glr-download :download:`Download Jupyter notebook: findobj_demo.ipynb ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_