.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "gallery/text_labels_and_annotations/custom_legends.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. meta:: :keywords: codex .. note:: :class: sphx-glr-download-link-note :ref:`Go to the end ` to download the full example code .. rst-class:: sphx-glr-example-title .. _sphx_glr_gallery_text_labels_and_annotations_custom_legends.py: ======================== Composing Custom Legends ======================== Composing custom legends piece-by-piece. .. note:: For more information on creating and customizing legends, see the following pages: * :ref:`legend_guide` * :doc:`/gallery/text_labels_and_annotations/legend_demo` Sometimes you don't want a legend that is explicitly tied to data that you have plotted. For example, say you have plotted 10 lines, but don't want a legend item to show up for each one. If you simply plot the lines and call ``ax.legend()``, you will get the following: .. GENERATED FROM PYTHON SOURCE LINES 21-39 .. code-block:: Python import matplotlib.pyplot as plt import numpy as np import matplotlib as mpl from matplotlib import cycler # Fixing random state for reproducibility np.random.seed(19680801) N = 10 data = (np.geomspace(1, 10, 100) + np.random.randn(N, 100)).T cmap = plt.cm.coolwarm mpl.rcParams['axes.prop_cycle'] = cycler(color=cmap(np.linspace(0, 1, N))) fig, ax = plt.subplots() lines = ax.plot(data) ax.legend() .. image-sg:: /gallery/text_labels_and_annotations/images/sphx_glr_custom_legends_001.png :alt: custom legends :srcset: /gallery/text_labels_and_annotations/images/sphx_glr_custom_legends_001.png, /gallery/text_labels_and_annotations/images/sphx_glr_custom_legends_001_2_00x.png 2.00x :class: sphx-glr-single-img .. rst-class:: sphx-glr-script-out .. code-block:: none No artists with labels found to put in legend. Note that artists whose label start with an underscore are ignored when legend() is called with no argument. .. GENERATED FROM PYTHON SOURCE LINES 41-44 Note that no legend entries were created. In this case, we can compose a legend using Matplotlib objects that aren't explicitly tied to the data that was plotted. For example: .. GENERATED FROM PYTHON SOURCE LINES 44-56 .. code-block:: Python from matplotlib.lines import Line2D custom_lines = [Line2D([0], [0], color=cmap(0.), lw=4), Line2D([0], [0], color=cmap(.5), lw=4), Line2D([0], [0], color=cmap(1.), lw=4)] fig, ax = plt.subplots() lines = ax.plot(data) ax.legend(custom_lines, ['Cold', 'Medium', 'Hot']) .. image-sg:: /gallery/text_labels_and_annotations/images/sphx_glr_custom_legends_002.png :alt: custom legends :srcset: /gallery/text_labels_and_annotations/images/sphx_glr_custom_legends_002.png, /gallery/text_labels_and_annotations/images/sphx_glr_custom_legends_002_2_00x.png 2.00x :class: sphx-glr-single-img .. GENERATED FROM PYTHON SOURCE LINES 57-59 There are many other Matplotlib objects that can be used in this way. In the code below we've listed a few common ones. .. GENERATED FROM PYTHON SOURCE LINES 59-74 .. code-block:: Python from matplotlib.lines import Line2D from matplotlib.patches import Patch legend_elements = [Line2D([0], [0], color='b', lw=4, label='Line'), Line2D([0], [0], marker='o', color='w', label='Scatter', markerfacecolor='g', markersize=15), Patch(facecolor='orange', edgecolor='r', label='Color Patch')] # Create the figure fig, ax = plt.subplots() ax.legend(handles=legend_elements, loc='center') plt.show() .. image-sg:: /gallery/text_labels_and_annotations/images/sphx_glr_custom_legends_003.png :alt: custom legends :srcset: /gallery/text_labels_and_annotations/images/sphx_glr_custom_legends_003.png, /gallery/text_labels_and_annotations/images/sphx_glr_custom_legends_003_2_00x.png 2.00x :class: sphx-glr-single-img .. rst-class:: sphx-glr-timing **Total running time of the script:** (0 minutes 1.527 seconds) .. _sphx_glr_download_gallery_text_labels_and_annotations_custom_legends.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: custom_legends.ipynb ` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: custom_legends.py ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_