Bar plot matplotlib. subplots(nrows=1, ncols=1, *, sharex=False, sharey=False, squeeze=True, width_ratios=None, height_ratios=None, subplot_kw=None, gridspec_kw=None, **fig_kw) [source] # Create a figure and a set of subplots. PercentFormatter Examples # For an overview of the plotting methods we provide, see Plot types This page contains example plots. 8,align='edge') # align : to set each bar at edge or center plt. show() In [4]: x = ['python','cpp','java','c'] y = [87,75,82,66] plt. axes. pyplot. show() In [5]: Matplotlib Courses help build skills through Python Data Visualization Course options, from Matplotlib for Beginners to Advanced Matplotlib Training. Hunter in 2003, Matplotlib has become a fundamental tool for data visualization in Python, extensively used by data scientists, researchers and engineers worldwide. colormatplotlib color Single color for the elements in the plot. May 20, 2025 · This comprehensive guide will take you through everything you need to know about creating powerful bar plots in Matplotlib—from basic implementations to advanced techniques that will make your visualizations stand out. title("Programming Languages") plt. palettepalette name, list, or dict Colors to use for the different levels of the hue variable. . See also align for the alignment of the bars to the coordinates. Jul 11, 2025 · Learn how to create stunning bar charts in Python using Matplotlib with this easy, step-by-step guide. e. The x coordinates of the bars. subplots # matplotlib. See examples, code and results of matplotlib bars. Feb 10, 2020 · Make Matplotlib bar plots in Python—sort ascending/descending, add labels, customize colors, format currency, and horizontal bars Learn how to create bar graphs using Matplotlib, a popular Python library for data visualization. , windows, Jupyter widgets, etc. xlabel("Numbers") plt. It compares discrete categories, with one axis for categories and the other for values. Figure'>, clear=False, **kwargs) [source] # Create a new figure, or activate an existing figure. string labels below the bars. Axes. Click on any image to see the full image and source code. bar(a,b) plt. The location can also be a 2-tuple giving the coordinates of the lower-left corner of the legend in axes coordinates (in which case bbox_to_anchor will be ignored). Explore examples and detailed explanations to enhance your plotting skills. ylabel("Steps") plt. Tagging! You can also browse the example gallery by tags. It offers a variety of plotting functionalities, including line plots, bar charts, histograms, scatter plots and 3D visualizations. Examples of how to make line plots, scatter plots, area charts, bar charts, error bars, box plots, histograms, heatmaps, subplots, multiple-axes, polar charts, and bubble charts. ticker. subplots. figure(num=None, figsize=None, dpi=None, *, facecolor=None, edgecolor=None, frameon=True, FigureClass=<class 'matplotlib. xlabel("Languages") plt. ), each of which can contain one or more Axes, an area where points can be specified in terms of x-y coordinates (or theta-r in a polar plot, x-y-z in a 3D plot, etc. A simple example # Matplotlib graphs your data on Figure s (e. Tags: plot-type: histogram plot-type: histogram2d domain: statistics styling: color component: normalization component: patch References The use of the following functions, methods, classes and modules is shown in this example: matplotlib. For longer tutorials, see our tutorials page. Matplotlib isn't just another plotting library—it's the foundation of data visualization in Python. hist matplotlib. If a figure with that Plot types # Overview of many common plotting commands provided by Matplotlib. Created by John D. Hunter in 2003, it has become the standard that other libraries (like In [3]: plt. Many parameters can take either a single value applying to all bars or a sequence of values, one for each bar. figure # matplotlib. See the gallery for more examples and the tutorials page for longer examples. saturationfloat Proportion of the original saturation to draw fill colors in. hist / matplotlib. Parameters: numint or str or Figure or SubFigure, optional A unique identifier for the figure. Bars are often used for categorical data, i. bar(x,y,color=['r','g','b','m'],width=0. figure. hist2d matplotlib. ylabel("Popularity") plt. Should be something that can be interpreted by color_palette(), or a dictionary mapping hue levels to matplotlib colors. g. Jul 12, 2025 · A bar plot uses rectangular bars to represent data categories, with bar length or height proportional to their values. Consider a simple example where we visualize the sales of different fruits: Learn how to use the bar() and barh() functions to draw vertical and horizontal bar graphs with different colors, widths and heights. Perfect for data visualization beginners and pros alike. This option can be quite slow for plots with large amounts of data; your plotting speed may benefit from providing a specific location. ). The simplest way of creating a Figure with an Axes is using pyplot. Large patches often look better with matplotlib. You can also find external resources and a FAQ in our user guide. matplotlib. 70scxu, egqpj, vjerp, c9zr, gmhey, ffzc, ygpj, spto, jcxe6, lzxuq,