Matplotlib

Updated: 2026-02-19

Matplotlib savefig Cuts Off Labels? bbox_inches, DPI Fixes

Quick Matplotlib savefig reference: fix cut-off labels with bbox_inches='tight', set DPI/formats, and avoid blank figures after plt.show().

Updated: 2026-02-12

Matplotlib Colormap: Complete Guide to Color Maps in Python

Master Matplotlib colormaps for data visualization. Learn built-in colormaps, custom colormaps, diverging vs sequential, colorbar customization, and choosing the right colormap.

Updated: 2026-02-11

Matplotlib Pie Chart: Complete Guide to Creating Pie Charts in Python

Master matplotlib pie charts with practical examples covering labels, colors, explode, autopct, donut charts, nested pies, and professional customization techniques.

Updated: 2026-02-10

Matplotlib Bar Chart: Complete Guide to plt.bar() and plt.barh()

Learn how to create bar charts in Matplotlib with grouped bars, stacked bars, horizontal bars, custom colors, and labels. Master plt.bar() with examples.

Updated: 2026-02-10

Matplotlib Legend: Complete Guide to Adding and Customizing Legends

Learn how to add, position, and customize legends in Matplotlib. Master legend placement, styling, multiple legends, and handling many entries with practical examples.

Updated: 2026-02-10

Matplotlib Scatter Plot: Complete Guide to plt.scatter()

Learn how to create scatter plots in Matplotlib with color mapping, size encoding, annotations, and multiple datasets. Master plt.scatter() with practical examples.

Updated: 2026-02-10

Matplotlib Subplots: Create Multi-Panel Figures with plt.subplots()

Learn how to create multi-panel figures in Matplotlib using plt.subplots(), GridSpec, and subplot2grid. Master layouts, shared axes, and spacing control.

Updated: 2026-02-09

Matplotlib Histogram: The Complete Guide to plt.hist() in Python

Learn how to create histograms with matplotlib in Python. Master plt.hist() with bins, density, color, stacked histograms, and customization options.

Updated: 2025-11-21

Matplotlib Annotations and Text: Call Out Insights Clearly

Use annotate, text, and bar_label to highlight peaks, explain bars, and keep labels readable with offsets, arrows, and clipping in Matplotlib.

Updated: 2025-11-21

Matplotlib Axis Ticks and Formatters: Make Scales Readable

Control tick frequency, rotation, and formatting for numbers and dates in Matplotlib using locators and formatters, with ready-to-use recipes and a quick tool map.

Updated: 2025-11-21

Matplotlib Secondary Axis: Twin Axes vs secondary_yaxis Explained

Learn when to use twinx/twiny and when to reach for secondary_yaxis, with conversion-safe examples, legends, and scaling tips for dual-axis plots in Matplotlib.

Updated: 2025-11-15

Matplotlib Colormaps cmaps: 5 examples of common usage

5 ready to go examples of matplilib cmaps/colormaps, which you can learn or directly copy to modify.

Updated: 2025-04-15

10 Types of Histograms in Matplotlib (with code snippets you can copy)

Explore 10 different types of histograms in Matplotlib, including basic, colored, normalized, cumulative, and more. Learn how to create each type with code snippets you can copy.

Updated: 2025-04-15

6 common use cases of matplotlib vertical lines (with code examples)

How to use matplotlib's vlines function to enhance your data visualizations with vertical lines. Explore chart examples and code snippets you can directly copy to use.

Updated: 2025-04-15

Facing 'No Module Named Matplotlib' Error? Here is the Solution

A complete, updated 2025 guide to fixing the 'No Module Named Matplotlib' error in Python — covering all causes and providing clear, actionable solutions.

Updated: 2025-01-01

Mastering Figure Sizes in Matplotlib: A Complete Guide (with Examples)

Learn all practical ways to set and adjust figure sizes in Matplotlib—figsize, rcParams, subplots, Pandas integration, centimeters, defaults, and more. Includes examples and troubleshooting.

Updated: 2023-08-19

How to Plot Images with Matplotlib in Python

Explore the power of Matplotlib in Python for image processing. Learn to modify, crop, rotate, and visualize images in new ways. Discover the world of data visualization through images.

Updated: 2023-08-19

Mastering Custom Colormaps in Matplotlib: A Comprehensive Guide

Explore the world of custom colormaps in Matplotlib. Understand, modify, and create your own colormaps for enriched data visualization. Perfect for Python enthusiasts and data scientists!

Updated: 2023-08-19

Matplotlib Syntax Error: How to Solve the Issue

An in-depth guide on how to diagnose and fix Matplotlib syntax errors in your Python code. We also discuss the SyntaxError: invalid syntax %matplotlib inline error and its potential solution. Learn alternative methods using PyGWalker.

Updated: 2023-08-19

Save Matplotlib Plot to File: The Quickest Way

Explore the power of Matplotlib for data visualization in Python. Learn about the .savefig() method, customizing charts, and more with this easy-to-understand guide.

Updated: 2023-08-19

Troubleshooting: Matplotlib.pyplot Not Resolved From Source

Dive into the common issues surrounding 'matplotlib.pyplot not resolved from source', and explore the alternative tool, PyGWalker, for seamless data visualization.

Updated: 2023-08-19

Unlocking the Power of Matplotlib Stylesheets for Enhanced Data Visualization

Discover the art of data visualization with Matplotlib Stylesheets in Python. Learn to customize styles, choose the right theme and boost your graphs with these effective tips.

Updated: 2023-08-17

Matplotlib Animation Tutorial - Create Stunning Visualizations

Dive into the world of data visualization with our comprehensive tutorial on creating animations using the Matplotlib library in Python. From line plot animations to 3D visualizations, we cover it all. Start animating your data today!

Updated: 2023-06-09

How to Easily Handle Fill_between in Matplotlib

Master Matplotlib's fill_between function to enhance your data visualizations. Learn how to create conditional fills and exceed the best available resources with our comprehensive guide.

Updated: 2023-06-09

How to Quickly Create Multiple Line Plots with Matplotlib

A detailed guide on how to plot multiple lines in a single chart using the versatile Python library, Matplotlib.

Updated: 2023-06-08

Solving the Issue: 'AttributeError: module 'matplotlib' has no attribute 'plot'

In-depth guide on how to fix the common error 'module 'matplotlib' has no attribute 'plot' in Python's Matplotlib library.

Updated: 2023-06-07

[Quick Guide] How to Position the Legend Outside of Plot in Matplotlib

Learn the best strategies and techniques to place a legend outside the plot area using Matplotlib with detailed examples and step-by-step instructions.

Updated: 2023-06-07

How to Create an Interactive Plot with Matplotlib

Learn how to create rich, interactive plots in Python using Matplotlib. This detailed guide provides you with hands-on examples to help you master interactive plotting.

Updated: 2023-06-07

Navigating AttributeError: Module 'matplotlib.cbook' has No Attribute 'Iterable'

In-depth guide to resolve the issue: AttributeError in matplotlib.cbook, specifically for 'iterable'. Optimizing your Python coding with NetworkX and Matplotlib.

Updated: 2023-06-07

Remove Axes in Matplotlib: A Detailed Guide

A comprehensive guide to removing axes in Matplotlib, packed with examples, to give you a better understanding of how to declutter your visualizations.

Updated: 2023-06-06

[Explained] Multiple Plots on the Same Figure in Matplotlib

Discover how to create multiple plots on the same figure in Matplotlib, enhancing data visualization and plot readability.

Updated: 2023-05-09

PyPlot Figure: A Comprehensive Guide to Matplotlib's Plotting Library

Learn how to use PyPlot Figure from Matplotlib's powerful plotting library for creating stunning visualizations in Python. Find step-by-step tutorials and resources to master PyPlot Figure. Download our free guide now.

Updated: 2023-05-04

How to Create a Time Series Plot with Matplotlib in Python

Learn how to create a basic time series plot with Matplotlib in Python. Customize tick markers and labels, work with dates on the horizontal axis, and add minor tick marks for a more detailed view of your data.

Updated: 2023-05-02

Troubleshooting: 'Module Matplotlib Has No Attribute Plot' in Python

Your complete guide to solving the 'module matplotlib has no attribute plot' error in Python, covering both installation and syntax issues with detailed examples.

Updated: 2023-05-01

Overcoming the 'matplotlib is currently using agg' Issue

Explore detailed solutions to the error 'matplotlib is currently using agg, a non-GUI backend,' ensuring smooth data visualization in Python.

Updated: 2023-03-10

Creating Stunning Plots for Dataframes with Matplotlib

Unleash the power of Matplotlib and PyGWalker for data visualization in Python. Create eye-catching plots, customize, and save them with ease.

Complete Guide to %matplotlib inline in Jupyter Notebooks

Learn what %matplotlib inline does, when to use it, and how it works in Jupyter Notebooks. A beginner-friendly guide to Matplotlib's inline backend.