.. DO NOT EDIT. .. THIS FILE WAS AUTOMATICALLY GENERATED BY SPHINX-GALLERY. .. TO MAKE CHANGES, EDIT THE SOURCE PYTHON FILE: .. "gallery/statistics/histogram_features.py" .. LINE NUMBERS ARE GIVEN BELOW. .. only:: html .. note:: :class: sphx-glr-download-link-note Click :ref:here  to download the full example code .. rst-class:: sphx-glr-example-title .. _sphx_glr_gallery_statistics_histogram_features.py: ============================================== Some features of the histogram (hist) function ============================================== In addition to the basic histogram, this demo shows a few optional features: * Setting the number of data bins. * The *density* parameter, which normalizes bin heights so that the integral of the histogram is 1. The resulting histogram is an approximation of the probability density function. Selecting different bin counts and sizes can significantly affect the shape of a histogram. The Astropy docs have a great section_ on how to select these parameters. .. _section: http://docs.astropy.org/en/stable/visualization/histogram.html .. GENERATED FROM PYTHON SOURCE LINES 19-49 .. code-block:: default import numpy as np import matplotlib.pyplot as plt np.random.seed(19680801) # example data mu = 100 # mean of distribution sigma = 15 # standard deviation of distribution x = mu + sigma * np.random.randn(437) num_bins = 50 fig, ax = plt.subplots() # the histogram of the data n, bins, patches = ax.hist(x, num_bins, density=True) # add a 'best fit' line y = ((1 / (np.sqrt(2 * np.pi) * sigma)) * np.exp(-0.5 * (1 / sigma * (bins - mu))**2)) ax.plot(bins, y, '--') ax.set_xlabel('Smarts') ax.set_ylabel('Probability density') ax.set_title(r'Histogram of IQ: $\mu=100$, $\sigma=15$') # Tweak spacing to prevent clipping of ylabel fig.tight_layout() plt.show() .. image:: /gallery/statistics/images/sphx_glr_histogram_features_001.png :alt: Histogram of IQ: $\mu=100$, $\sigma=15$ :class: sphx-glr-single-img .. GENERATED FROM PYTHON SOURCE LINES 50-59 .. admonition:: References The use of the following functions, methods, classes and modules is shown in this example: - matplotlib.axes.Axes.hist / matplotlib.pyplot.hist - matplotlib.axes.Axes.set_title - matplotlib.axes.Axes.set_xlabel - matplotlib.axes.Axes.set_ylabel .. _sphx_glr_download_gallery_statistics_histogram_features.py: .. only :: html .. container:: sphx-glr-footer :class: sphx-glr-footer-example .. container:: sphx-glr-download sphx-glr-download-python :download:Download Python source code: histogram_features.py  .. container:: sphx-glr-download sphx-glr-download-jupyter :download:Download Jupyter notebook: histogram_features.ipynb  .. only:: html .. rst-class:: sphx-glr-signature Keywords: matplotlib code example, codex, python plot, pyplot Gallery generated by Sphinx-Gallery _