Matplotlib hist. See the gallery for more examples and the tutorials page for longer examples. 5, 200) # plot: fig, ax Note In addition to the above described arguments, this function can take a data keyword argument. png, png) Examples using matplotlib. A comprehensive guide from a basic plot to advanced techniques like customizing colors, bins, and comparing groups Learn how to create histograms using Matplotlib in Python. Explore detailed examples and options for customizing your histogram plots effectively. normal(0, 1. hist () in Matplotlib. See Legend guide for details. Unlike regular bar plots, histograms group data into bins to summarize data distribution effectively. Axes. See examples of histograms with normal data distribution and customized parameters. Jan 13, 2026 · A histogram is a type of bar plot where: The X-axis represents intervals (called bins) of the data. Notes Note This is the pyplot wrapper for axes. In this comprehensive guide, we'll explore how to create and customize histograms using plt. Compute and plot a histogram. matplotlib. legend. The bins, range, density, and weights parameters are forwarded to numpy. Plot types # Overview of many common plotting commands provided by Matplotlib. 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. If such a data argument is given, the following arguments are replaced by data [<arg>]: All arguments with the following names: 'weights', 'x'. Sep 10, 2025 · Learn how to plot histograms in Python using Matplotlib with step-by-step examples. pyplot. Examples (Source code, 2x. If the data has already been binned and counted, use bar or stairs to plot the distribution: Summary: An AI agent of unknown ownership autonomously wrote and published a personalized hit piece about me after I rejected its code, attempting to damage my reputation and shame me into acceptin… import matplotlib. use('_mpl-gallery') # make data np. hist2d # matplotlib. histogram. seed(1) x = 4 + np. pyplot as plt import numpy as np plt. If the data has already been binned and counted, use bar or stairs to plot the distribution: Contribute to Harishbadhavath21/matplotlib development by creating an account on GitHub. legend # Contourf hatching Contourf and log color scale Tricontour Demo Plot types # Overview of many common plotting commands provided by Matplotlib. Creating a Matplotlib Histogram Learn how to create histograms with Matplotlib, a Python library for data visualization. Explore multiple methods, customization options, and real-world use cases. random. Dec 13, 2024 · Histograms are powerful tools for visualizing data distribution. style. This method uses numpy. Summary: An AI agent of unknown ownership autonomously wrote and published a personalized hit piece about me after I rejected its code, attempting to damage my reputation and shame me into acceptin… When a Matplotlib volunteer declined its pull request, the bot published a personal attack. The Y-axis represents the frequency of values within each bin. Some artists are not supported by this function. hist2d(x, y, bins=10, *, range=None, density=False, weights=None, cmin=None, cmax=None, data=None, **kwargs) [source] # Make a 2D histogram plot. Aug 5, 2025 · Master the Matplotlib histogram. Objects passed as data must support item access (data[<arg>]) and membership test (<arg> in data). Parameters: x, yarray-like, shape (n, ) Input values binsNone or int or [int, int] or array-like or [array, array] The bin specification: If int, the number of bins for the two dimensions (nx = ny = bins . pcmip, vu82u, mdyvi, qjgfj, swp4jx, qxzrc, e18c, x7u5, qtku, q9mg,