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.

Jan 13, 2026 · Histograms are one of the most fundamental tools in data visualization. They provide a graphical representation of data distribution, showing how frequently each value or range of values …

The histogram is computed over the flattened array. If bins is an int, it defines the number of equal-width bins in the given range (10, by default). If bins is a sequence, it defines a monotonically increasing …

Sep 10, 2025 · Learn how to plot histograms in Python using Matplotlib with step-by-step examples. Explore multiple methods, customization options, and real-world use cases.

In Matplotlib, we use the hist() function to create histograms. The hist() function will use an array of numbers to create a histogram, the array is sent into the function as an argument.

A histogram is a representation of the distribution of data. This function calls matplotlib.pyplot.hist(), on each series in the DataFrame, resulting in one histogram per column.

In this tutorial, you’ll be equipped to make production-quality, presentation-ready Python histogram plots with a range of choices and features.

Over 29 examples of Histograms including changing color, size, log axes, and more in Python.

Histogram is a type of graph which indicates the numeric distribution of the data using the bin values. To create histogram graphs, we can either make use of the seaborn or matplotlib library.

Jun 22, 2020 · Learn how to create histograms in Python with Matplotlib and Pandas. This tutorial guides you through what how to create a histogram in Python.