.. 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. * Setting the face color of the bars. * Setting the opacity (alpha value). 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 .. code-block:: default import matplotlib 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 ------------ References """""""""" The use of the following functions and methods is shown in this example: .. code-block:: default matplotlib.axes.Axes.hist matplotlib.axes.Axes.set_title matplotlib.axes.Axes.set_xlabel matplotlib.axes.Axes.set_ylabel .. rst-class:: sphx-glr-script-out Out: .. code-block:: none .. _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 _