Web Reference: Jan 13, 2026 · Unlike regular bar plots, histograms group data into bins to summarize data distribution effectively. Divide the data range into consecutive, non-overlapping intervals called bins. Count how many values fall into each bin. Use the matplotlib.pyplot.hist () function to plot the histogram. Compute and plot a histogram. This method uses numpy.histogram to bin the data in x and count the number of values in each bin, then draws the distribution either as a BarContainer or Polygon. The bins, range, density, and weights parameters are forwarded to numpy.histogram. Perhaps the most common approach to visualizing a distribution is the histogram. This is the default approach in displot(), which uses the same underlying code as histplot().
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