.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "gallery/animation/animated_histogram.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_animation_animated_histogram.py: ================== Animated histogram ================== Use histogram's `.BarContainer` to draw a bunch of rectangles for an animated histogram. .. GENERATED FROM PYTHON SOURCE LINES 9-26 .. code-block:: Python import functools import matplotlib.pyplot as plt import numpy as np import matplotlib.animation as animation # Setting up a random number generator with a fixed state for reproducibility. rng = np.random.default_rng(seed=19680801) # Fixing bin edges. HIST_BINS = np.linspace(-4, 4, 100) # Histogram our data with numpy. data = rng.standard_normal(1000) n, _ = np.histogram(data, HIST_BINS) .. GENERATED FROM PYTHON SOURCE LINES 27-30 To animate the histogram, we need an ``animate`` function, which generates a random set of numbers and updates the heights of rectangles. The ``animate`` function updates the `.Rectangle` patches on an instance of `.BarContainer`. .. GENERATED FROM PYTHON SOURCE LINES 30-41 .. code-block:: Python def animate(frame_number, bar_container): # Simulate new data coming in. data = rng.standard_normal(1000) n, _ = np.histogram(data, HIST_BINS) for count, rect in zip(n, bar_container.patches): rect.set_height(count) return bar_container.patches .. GENERATED FROM PYTHON SOURCE LINES 42-46 Using :func:`~matplotlib.pyplot.hist` allows us to get an instance of `.BarContainer`, which is a collection of `.Rectangle` instances. Since `.FuncAnimation` will only pass the frame number parameter to the animation function, we use `functools.partial` to fix the ``bar_container`` parameter. .. GENERATED FROM PYTHON SOURCE LINES 46-57 .. code-block:: Python # Output generated via `matplotlib.animation.Animation.to_jshtml`. fig, ax = plt.subplots() _, _, bar_container = ax.hist(data, HIST_BINS, lw=1, ec="yellow", fc="green", alpha=0.5) ax.set_ylim(top=55) # set safe limit to ensure that all data is visible. anim = functools.partial(animate, bar_container=bar_container) ani = animation.FuncAnimation(fig, anim, 50, repeat=False, blit=True) plt.show() .. container:: sphx-glr-animation .. raw:: html
.. rst-class:: sphx-glr-timing **Total running time of the script:** (0 minutes 7.628 seconds) .. _sphx_glr_download_gallery_animation_animated_histogram.py: .. only:: html .. container:: sphx-glr-footer sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-jupyter :download:`Download Jupyter notebook: animated_histogram.ipynb ` .. container:: sphx-glr-download sphx-glr-download-python :download:`Download Python source code: animated_histogram.py ` .. only:: html .. rst-class:: sphx-glr-signature `Gallery generated by Sphinx-Gallery `_