.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "gallery/lines_bars_and_markers/bar_label_demo.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_lines_bars_and_markers_bar_label_demo.py: ============== Bar Label Demo ============== This example shows how to use the `~.Axes.bar_label` helper function to create bar chart labels. See also the :doc:`grouped bar `, :doc:`stacked bar ` and :doc:`horizontal bar chart ` examples. .. GENERATED FROM PYTHON SOURCE LINES 16-20 .. code-block:: Python import matplotlib.pyplot as plt import numpy as np .. GENERATED FROM PYTHON SOURCE LINES 21-22 data from https://allisonhorst.github.io/palmerpenguins/ .. GENERATED FROM PYTHON SOURCE LINES 22-45 .. code-block:: Python species = ('Adelie', 'Chinstrap', 'Gentoo') sex_counts = { 'Male': np.array([73, 34, 61]), 'Female': np.array([73, 34, 58]), } width = 0.6 # the width of the bars: can also be len(x) sequence fig, ax = plt.subplots() bottom = np.zeros(3) for sex, sex_count in sex_counts.items(): p = ax.bar(species, sex_count, width, label=sex, bottom=bottom) bottom += sex_count ax.bar_label(p, label_type='center') ax.set_title('Number of penguins by sex') ax.legend() plt.show() .. image-sg:: /gallery/lines_bars_and_markers/images/sphx_glr_bar_label_demo_001.png :alt: Number of penguins by sex :srcset: /gallery/lines_bars_and_markers/images/sphx_glr_bar_label_demo_001.png, /gallery/lines_bars_and_markers/images/sphx_glr_bar_label_demo_001_2_00x.png 2.00x :class: sphx-glr-single-img .. GENERATED FROM PYTHON SOURCE LINES 46-47 Horizontal bar chart .. GENERATED FROM PYTHON SOURCE LINES 47-71 .. code-block:: Python # Fixing random state for reproducibility np.random.seed(19680801) # Example data people = ('Tom', 'Dick', 'Harry', 'Slim', 'Jim') y_pos = np.arange(len(people)) performance = 3 + 10 * np.random.rand(len(people)) error = np.random.rand(len(people)) fig, ax = plt.subplots() hbars = ax.barh(y_pos, performance, xerr=error, align='center') ax.set_yticks(y_pos, labels=people) ax.invert_yaxis() # labels read top-to-bottom ax.set_xlabel('Performance') ax.set_title('How fast do you want to go today?') # Label with specially formatted floats ax.bar_label(hbars, fmt='%.2f') ax.set_xlim(right=15) # adjust xlim to fit labels plt.show() .. image-sg:: /gallery/lines_bars_and_markers/images/sphx_glr_bar_label_demo_002.png :alt: How fast do you want to go today? :srcset: /gallery/lines_bars_and_markers/images/sphx_glr_bar_label_demo_002.png, /gallery/lines_bars_and_markers/images/sphx_glr_bar_label_demo_002_2_00x.png 2.00x :class: sphx-glr-single-img .. GENERATED FROM PYTHON SOURCE LINES 72-73 Some of the more advanced things that one can do with bar labels .. GENERATED FROM PYTHON SOURCE LINES 73-89 .. code-block:: Python fig, ax = plt.subplots() hbars = ax.barh(y_pos, performance, xerr=error, align='center') ax.set_yticks(y_pos, labels=people) ax.invert_yaxis() # labels read top-to-bottom ax.set_xlabel('Performance') ax.set_title('How fast do you want to go today?') # Label with given captions, custom padding and annotate options ax.bar_label(hbars, labels=[f'±{e:.2f}' for e in error], padding=8, color='b', fontsize=14) ax.set_xlim(right=16) plt.show() .. image-sg:: /gallery/lines_bars_and_markers/images/sphx_glr_bar_label_demo_003.png :alt: How fast do you want to go today? :srcset: /gallery/lines_bars_and_markers/images/sphx_glr_bar_label_demo_003.png, /gallery/lines_bars_and_markers/images/sphx_glr_bar_label_demo_003_2_00x.png 2.00x :class: sphx-glr-single-img .. GENERATED FROM PYTHON SOURCE LINES 90-91 Bar labels using {}-style format string .. GENERATED FROM PYTHON SOURCE LINES 91-100 .. code-block:: Python fruit_names = ['Coffee', 'Salted Caramel', 'Pistachio'] fruit_counts = [4000, 2000, 7000] fig, ax = plt.subplots() bar_container = ax.bar(fruit_names, fruit_counts) ax.set(ylabel='pints sold', title='Gelato sales by flavor', ylim=(0, 8000)) ax.bar_label(bar_container, fmt='{:,.0f}') .. image-sg:: /gallery/lines_bars_and_markers/images/sphx_glr_bar_label_demo_004.png :alt: Gelato sales by flavor :srcset: /gallery/lines_bars_and_markers/images/sphx_glr_bar_label_demo_004.png, /gallery/lines_bars_and_markers/images/sphx_glr_bar_label_demo_004_2_00x.png 2.00x :class: sphx-glr-single-img .. GENERATED FROM PYTHON SOURCE LINES 101-102 Bar labels using a callable .. GENERATED FROM PYTHON SOURCE LINES 102-111 .. code-block:: Python animal_names = ['Lion', 'Gazelle', 'Cheetah'] mph_speed = [50, 60, 75] fig, ax = plt.subplots() bar_container = ax.bar(animal_names, mph_speed) ax.set(ylabel='speed in MPH', title='Running speeds', ylim=(0, 80)) ax.bar_label(bar_container, fmt=lambda x: f'{x * 1.61:.1f} km/h') .. image-sg:: /gallery/lines_bars_and_markers/images/sphx_glr_bar_label_demo_005.png :alt: Running speeds :srcset: /gallery/lines_bars_and_markers/images/sphx_glr_bar_label_demo_005.png, /gallery/lines_bars_and_markers/images/sphx_glr_bar_label_demo_005_2_00x.png 2.00x :class: sphx-glr-single-img .. GENERATED FROM PYTHON SOURCE LINES 112-120 .. admonition:: References The use of the following functions, methods, classes and modules is shown in this example: - `matplotlib.axes.Axes.bar` / `matplotlib.pyplot.bar` - `matplotlib.axes.Axes.barh` / `matplotlib.pyplot.barh` - `matplotlib.axes.Axes.bar_label` / `matplotlib.pyplot.bar_label` .. rst-class:: sphx-glr-timing **Total running time of the script:** (0 minutes 1.579 seconds) .. _sphx_glr_download_gallery_lines_bars_and_markers_bar_label_demo.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: bar_label_demo.ipynb ` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: bar_label_demo.py ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_