Matplotlib legend. Sep 25, 2024 · plt.

Matplotlib legend. I am making a scatterplot of the top two components from PCA on a dataset of 30,000 flattened, grayscale I am using matplotlib and I would like to manually add items to the legend that are a color and a label. polar matplotlib. legend Jun 28, 2024 · Are you confused when adding a legend to a graph in Matplotlib because you don’t know where it can be placed or how to set the color and label of the legend? This article covers most of the settings related to Matplotlib legends, detailing how to specify the position, change the color, and add labels. How can I "get" all the legends to change (for example) the color and linestyle in the legend? handles, labels = ax. To change the font size for just one plot, use the matplotlib. pyplot. Legend Demo # Plotting legends in Matplotlib. May 21, 2025 · Learn how to create and customize legends in Matplotlib plots with this comprehensive guide. May 10, 2017 · legend and legend_handler ¶ matplotlib. May 8, 2021 · """The legend module defines the Legend class, which is responsible fordrawing legends associated with axes and/or figures important:: It is unlikely that you would ever create a Legend instance manually. In this case, we can compose a legend using Matplotlib objects that aren't explicitly tied to the data that was plotted. legend( [line1,line2,line3],['label1','label2','label3']) So the key is in add_artist for some insane reason matplotlib decides it knows better and deletes the original legend, then you must add it back in later. We can add the legend after making the plot by using legend () function Syntax: axes[position]. 1 and I am experimenting with using legend_elements. The attribute Loc in legend () is used to specify the location of the legend. In this tutorial, you’ll learn References The use of the following functions, methods, classes and modules is shown in this example: matplotlib. Jul 23, 2025 · A legend is an area describing the elements of the graph. Thanks for the help, I'm going to have a beer. The legend will be merged properly if you comment out the line ax. Step by step code snippets with explanations are provided. Explicitly defining the elements in the legend For full control of which artists have a legend entry, it is possible to pass an iterable of legend artists followed by an iterable of legend labels respectively: This post explains how to create a legend for categorical data in Matplotlib. Sep 19, 2023 · In this tutorial, we'll go over a few examples of how to add a legend to a Matplotlib figure/plot. Using this matplotlib library, if we want to visualize more than a single variable, we might want to explain what each variable represents. legend () function. It shows how to use the default legend provided in Matplotlib, as well as how to create your own legend using text and arrows. Default value of loc is loc=”best” (upper left). A string starting with an underscore is the default label for all artists, so calling Axes. Explicitly listing the artists and labels in the legend For full control of which artists have a legend entry, it is possible to pass an iterable of legend artists followed by an iterable of legend labels respectively: Aug 29, 2022 · This tutorial explains how to create a manual legend in matplotlib, including an example. legend () function is a utility given in the Matplotlib library for Python that gives a way to label and differentiate between multiple plots in the same figure Aug 1, 2024 · In this comprehensive guide, we’ll explore everything you need to know about matplotlib legend, from basic usage to advanced customization techniques. g. Below we'll show a few examples for how to do so. . e. From basic positioning to advanced Legend guide ¶ Generating legends flexibly in Matplotlib. Understanding how to position legends, whether inside or outside a chart, can enhance data interpretation. legend documentation. rc() to set the global legend font size: This approach is useful when you need to apply the same legend font size across multiple plots, ensuring a consistent look and feel throughout your application. Understanding how to effectively manage the Matplotlib Legend Title is key to professional-looking data representations. 5 makes the legend's background 50% transparent. The newest version of matplotlib (>=3. Please help. In this comprehensive guide, we’ll explore various techniques and best practices for optimizing the placement of legends in Matplotlib. polar. This avoids the tedious and error-prone manual adjustments often needed. with [art for art in artists if Feb 28, 2019 · Transparent, fancy legends ¶ Sometimes you know what your data looks like before you plot it, and may know for instance that there won't be much data in the upper right hand corner. Matplotlib is a widely used data visualization library in Python. After completing the reading, you will learn the art of using Matplotlib to freely place Jul 5, 2024 · Matplotlib Legend Locations When creating plots using Matplotlib, adding a legend to your plot can help viewers understand the meaning of each curve or data point. legend(title="Line", loc='upper left', reverse=True) The default is reverse=False (the previous behaviour)—setting it to reverse=True will now show the entries in the legend in the same order as the stacked bars. For example, if your scatter plot shows two datasets, adding a legend will display labels for each dataset, helping viewers interpret the plot correctly. An entry Jul 15, 2025 · Learn how to add and customize legends in Matplotlib scatter plots using Python. Explicitly defining the elements in the legend For full control of which artists have a legend entry, it is possible to pass an iterable of legend artists followed by an iterable of legend labels respectively: matplotlib. legend([line1, line2, line3], ['label1', 'label2', 'label3']) 2. 10 on MacOS. This short tutorial will show you how to easily adjust the font size, position, and more, so that your legends are clear and easy to read. A legend helps users identify what each line, marker, or other graphical element represents in the visualization. In this blog, we will explore the fundamental concepts of the Matplotlib Oct 10, 2013 · Legend guide ¶ Do not proceed unless you already have read legend () and matplotlib. legend () to specify the legend title. size property in the matplotlib rc parameters file. 27 According to the matplotlib legend documentation: 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). Sometimes, a missing or incorrect legend stems from simple oversights, like forgetting to assign labels to your plot lines using the label argument within plt. legend(loc='best') where, loc is the location and the 'best' places the legend at the location Approach: Use subplots () method to create subplots in a bigger Scatter plot with a legend # To create a scatter plot with a legend one may use a loop and create one scatter plot per item to appear in the legend and set the label accordingly. In this guide, we’ll explore how to use features like plt. Let's say you want to change the border of the legend to a dashed line and modify the font size for better readability. By understanding its fundamental concepts, mastering various usage methods, following common practices, and adhering to best practices, you can significantly enhance the clarity and communicability of your plots. randn(N) x = np. Jun 10, 2014 · I have a Plot with 2 or more legends. Find out how to position, label, format, and interact with legends using various parameters and examples. I just upgraded matplotlib to version 3. Explicitly listing the artists and labels in the legend For full control of which artists have a legend entry, it is possible to pass an iterable of legend artists followed by an iterable of legend labels respectively: ax. This used to work if labels started with underscores. Automatic detection of elements to be shown in the legend The elements to be added to the legend are automatically determined, when you do not pass in any extra arguments. Aug 1, 2024 · How to Master Matplotlib Legend Position: A Comprehensive Guide Matplotlib legend position is a crucial aspect of data visualization that can significantly enhance the readability and interpretation of your plots. show(), call plt. Matplotlib provides an inbuilt method named legend () for this purpose. This function is used to add a legend to the Axes, providing a visual guide for the elements in the plot. Fortunately, Matplotlib provides positioning and sizing utilities to spotlight trends. legend for clear, informative, and customizable plot legends in Python. Moreover, you’ll discover how to effectively use the Matplotlib Graph Legend Edit functionalities to enhance the clarity and professional In this article, we will learn about the legend method of the matplotlib using Python, which includes the positioning of legend inside or outside the plot. How to remove a legend from a plot? (The closest I came to this is to run legend([]) in order to empty the legend from data. We'll also add a legend outside of the axes using bbox_to_anchor with loc. Mar 16, 2020 · You’ve plotted some data in Matplotlib but you don’t know which data shows what? It’s time for a legend! How to add a legend in Python’s Matplotlib library? Label it with the label keyword argument in your plot method. legend key # The colored/patterned marker to the left of each legend label matplotlib. Instead of cluttering the plot area, the legend can be positioned beside or above the plot, giving more space to the data. Legend at 0x10f269cc0> Making it not so busy and complex and shadow-y etc You can also use an rcParams with a legend. 3. , (1) placing the legend on the right and (2) adjusting matplotlib. In this case, the labels are taken from the artist. Aug 25, 2014 · I am using matplotlib In plot() or bar(), we can easily put legend, if we add labels to them. Apr 22, 2023 · Matplotlib Set Subplots Legend Outside Plot When working with subplots, you can place a single, unified legend outside the plot by iterating over the axes and using the legend() method on the last axis (source) . A legend is nothing but an area of the plot. Feb 9, 2020 · 3. 11. legend() in Python's matplotlib library is an essential tool for creating effective data visualizations. Sep 25, 2024 · plt. Some plots contain components whose labels I wish to suppress in the legend. Jan 28, 2021 · """The legend module defines the Legend class, which is responsible fordrawing legends associated with axes and/or figures important:: It is unlikely that you would ever create a Legend instance manually. It typically consists of labels and corresponding markers or lines that match the elements in the plot. PolarAxes Jul 18, 2025 · Learn how to easily change the legend font size in Matplotlib with step-by-step practical examples. The . You can specify them either at artist creation or by calling the set_label() method on matplotlib. Often, Matplotlib’s default legend includes unwanted labels, cluttering the chart. Thus, one could use: plt. All of the parameters for . Legend at 0x10f8344a8> Make it horizontal Jan 9, 2023 · Seaborn is a Python library that allows you to make statistical visualizations. legend([line1, line2, line3], ['label1', 'label2', 'label3']) Apr 1, 2022 · This tutorial explains how to change the position of a legend in Matplotlib, including several examples. but what if it is a contourf() or imshow() I know there is a colorbar() which can present the color r Jan 11, 2024 · Understanding Legends in Data Visualization When you look at a map, a legend is a small box that helps you understand the symbols, colors, and lines used on the map. legend(loc=0) instead. legend() your plot will be displayed with a legend. I am adding data to to the plot to specifying there would lead to a lot of duplicates. legend([tag, '_nolegend_', tag2]) It works, but it gives a warning: MatplotlibDeprecationWarning: An artist whose label starts with an underscore was passed to legend(); such artists will no longer be ignored in the future. If the plot attached it's fine for you it's easy: import matplotlib. Oct 27, 2021 · This tutorial explains how to change the order of items in a Matplotlib legend, including several examples. legend can be passed to . Explicitly defining the elements in the legend For full control of which artists have a legend entry, it is possible to pass an iterable of legend artists followed by an iterable of legend labels respectively: To add a legend to a Matplotlib plot, you typically use the matplotlib. Axes. Nov 11, 2024 · Matplotlib is a powerful data visualization library in Python that allows users to create a wide range of plots and charts. Whether you’re a beginner or an experienced data scientist, this article will help you master the art of creating informative and visually appealing legends in your matplotlib plots. projections. Then you can safely create a legend that doesn't overlay your data: Nov 12, 2020 · Legend guide ¶ Generating legends flexibly in Matplotlib. An Changing the title of the legend ax = df. One essential component of any good plot is a legend, which provides information about the different elements represented in the plot. For this purpose, there is a function called legend () present in matplotlib library. Nov 20, 2024 · I try to hide the label of the second item in the legend as follows: ax. Customizing Legend Appearance Matplotlib allows you to customize almost every aspect of the legend, from the frame to the font size. Jul 23, 2025 · Customizing Legend Symbols and Line Width in Matplotlib Adding Shadow to Legend Box in Matplotlib Creating Colored Markers Legend in Matplotlib Basic Legend with Matplotlib Create a simple plot with two curves, these curves, adds labels, displays a legend, and finally shows the legends with Matplotlib. Dec 5, 2024 · Explore effective methods to include a single legend for multiple subplots in your Matplotlib visualizations. In this comprehensive guide, we’ll explore various techniques to customize the size of legends in Matplotlib, providing you with the tools to create visually Feb 2, 2024 · In the example above, alpha=0. This article demonstrates how to achieve a distilled and meaningful legend by showcasing Legend guide ¶ This legend guide is an extension of the documentation available at legend() - please ensure you are familiar with contents of that documentation before proceeding with this guide. legend / matplotlib. Master plt. pylab as plt import numpy as np N = 25 y = np. A well - crafted legend can make the difference between a confusing and an insightful visualization, especially when dealing with multi - series plots. Explicitly listing the artists and labels in the legend For full control of which artists have a legend entry, it is possible to pass an iterable of legend artists followed by an iterable of legend labels respectively: May 4, 2025 · Understanding the matplotlib legend location and how to customize it allows you to create more reader-friendly data visualizations. legend # The legend module defines the Legend class, which is responsible for drawing legends associated with Axes and/or figures. Oct 14, 2022 · The . arange(N) y2 = np. An entry Mastering Matplotlib Legend Title placement is crucial for creating clear, informative visualizations. Mar 14, 2023 · You can modify different properties of a plot — color, size, label, title and so on — when working with Matplotlib. For instance, a plot with multiple lines for various data points might only require a few key lines to be annotated in the legend. In this article, you'll learn what a legend is in Matplotlib, and how to use some of its parameters to make your plots more relatable Jul 23, 2025 · Matplotlib is one of the most popular data visualization libraries present in Python. legend` function. An entry Python Matplotlib Legend customization is crucial for creating clear, informative visualizations. Aug 4, 2024 · How to Master Matplotlib Legend Colors: A Comprehensive Guide Matplotlib legend colors play a crucial role in creating informative and visually appealing plots. Aug 1, 2024 · How to Customize Matplotlib Legend Size: A Comprehensive Guide Matplotlib legend size is an essential aspect of data visualization that can significantly impact the readability and overall appearance of your plots. Legend! The call signatures correspond to the following different ways to use this method: 1. move_legend, and all of the answers below work directly with seaborn axes-level plots (e. But that Dec 23, 2020 · A legend is basically an area in the plot which describes the elements present in the graph. There are many ways to create and customize legends in Matplotlib. From basic techniques to advanced. We’ll explore techniques for reliably positioning legends in Matplotlib subplots, ensuring consistency even with varying figure sizes or subplot arrangements. 2. legend(title='This is a legend') <matplotlib. legend() method in Matplotlib’s pyplot module creates a legend for plots by labelling different elements on a graph. To suppress this warning, explicitly filter out such artists, e. From basic color settings to advanced styling options, you’ll learn how to make your legends stand Jan 5, 2020 · 3. Jul 26, 2012 · I found this here: python - Matplotlib legend help - Stack Overflow but from there on, I'd like to remove the axes, and put the legend into three columns. pyplot as plt ax = plt. axes. Mar 28, 2020 · Every option I try does not get the legend to show for my plot. legend(loc=(x, y)) to set the legend's lower left corner to the specified (x, y) position. legend( [line1,line2,line3],['label1','label2','label3']) seaborn is a high-level api for matplotlib. Dynamically updating Matplotlib legends presents a common challenge. Legend guide # This legend guide extends the legend docstring - please read it before proceeding with this guide. Mar 8, 2014 · The order is deterministic, but part of the private guts so can be changed at any time, see the code here which goes to here and eventually here. legend without any arguments and without setting the labels manually will result in a UserWarning and an empty legend being drawn. Therefore, a more robust solution is needed, and that’s where learning about Matplotlib Legend Update techniques comes in. Jul 12, 2025 · Matplotlib. Jul 23, 2025 · Placing the legend outside of the plot in Matplotlib helps make the chart cleaner and easier to read, especially when dealing with multiple lines or subplots. 7) now provides this feature out of the box: plt. legend() places a legend in the current axes, in your case in the last one. Similarly, in data visualization, a legend is a guide for deciphering the different elements of a chart or graph. The legend in Seaborn is a box that provides descriptions of the different attributes of the graph, including which colors represent which attributes. How can one create a legend for a line graph in Matplotlib's PyPlot without creating any extra variables? Please consider the graphing script below: if __name__ == '__main__': PyPlot. If you want to explicitly control the order of the elements in your legend then assemble a What you want cannot be done, because plt. Legend Demo # There are many ways to create and customize legends in Matplotlib. Remember to use the bbox_to_anchor parameter to control the legend’s position. As explained in the answer by @ImportanceOfBeingErnest below, the legend with multiple axes belong to the figure fig, rather than to the left axis ax. A brief lesson on adding legends to Matplotlib charts, placing them in different locations, and customizing their style Matplotlib is a versatile Python library that provides native support for creating legends in various visualizations. Nov 28, 2021 · In this article, we will discuss how Matplotlib can be employed to add legends in subplots. Explicitly defining the elements in the legend For full control of which artists have a legend entry, it is possible to pass an iterable of legend artists followed by an iterable of legend labels respectively: Troubleshooting Matplotlib Python Legend issues? This guide provides solutions and a step-by-step approach to customizing your Matplotlib Python Legends. May 18, 2019 · matplotlib. legend (), custom handles, and other styling options to achieve the perfect look. Improve your Python data visualizations effectively today! Editing a graph legend properly requires understanding the various parameters and functions Matplotlib offers. In Using matplotlib. Consider the following example: import random Jul 17, 2020 · Legend guide ¶ Generating legends flexibly in Matplotlib. In this comprehensive guide, we’ll explore various techniques and best practices for positioning legends in Matplotlib, providing you with the knowledge and tools to create Aug 1, 2024 · Matplotlib legend title Conclusion Mastering the matplotlib legend title is crucial for creating informative and visually appealing data visualizations. Directly manipulating legend handles is unreliable, especially with filled areas. Throughout this comprehensive guide, we’ve explored various aspects of working with legend titles in Matplotlib, from basic implementation to advanced techniques. Looking at the documentation, I see this note: Artists with an empty string as label or with a label starting with an underscore, "_", will be ignored Note that to set the default font size, one can change the legend. You can specify them either at artist creation or by calling the set_label() method on Nov 1, 2017 · I am currently trying to plot some pandas data via matplotlib/seaborn, however one of my column titles is particularly long and stretches out the plot. In this article, we will cover the Definition of legends, their purpose, and different ways of adding a legend to a plot in matplotlib. 2, there is sns. In Legend Demo # There are many ways to create and customize legends in Matplotlib. This function takes a list of labels as an argument, which correspond to the elements in the plot that you want to include in the legend. Therefore, double-check your labeling; it’s the most frequent cause of Matplotlib Legend Issues. In the matplotlib library, there’s a function called legend () which is used to Place a legend on the axes. A simple and natural alternative that preserves the default merged legend without having to tweak is to replace that line with fig. Before plt. Legend guide # Generating legends flexibly in Matplotlib. legend(frameon=False) <matplotlib. If you happen to know how to make the legend keys the same length, so the line from plot extends to the left/right edges of the fill rectangle in the legend, that would be even better. May 10, 2017 · Legend guide ¶ This legend guide is an extension of the documentation available at legend() - please ensure you are familiar with contents of that documentation before proceeding with this guide. In many cases, a single legend is insufficient to convey all the necessary information, especially when dealing with complex datasets. legend. Jan 5, 2020 · matplotlib. plot(). matplotlib library provides a legend() function, using this we can modify, customize the legends and change the place of the legend for any type of plot. FontProperties argument, prop, for the legend creation. Oct 6, 2014 · Thanks! Adding linewidth=0 to the fill makes this good enough, that removes the 'frame' from the legend entry. The children are the artists that have been added, hence the handle list is sorted by order they were added (this is a change in behavior with mpl34 or mpl35). Most users would normally create a legend via the `~. From seaborn v0. Jul 17, 2024 · Creating informative and visually appealing graphs is a crucial aspect of data visualization. Aug 1, 2024 · How to Customize Matplotlib Legend Font Size: A Comprehensive Guide Matplotlib legend font size is an essential aspect of creating clear and visually appealing plots. Among its many powerful features, the legend is an essential tool for clarifying the elements in a plot. set_axis_off () #turn off the axis . By the end of this tutorial, you Dec 5, 2024 · Explore various solutions for positioning the legend outside the plot area in Matplotlib, along with code examples and alternative approaches. Plot legends provide clear visualization by telling the functionality of plot elements. Enhance your data visualizations with Matplotlib's legend manipulation. Aug 13, 2021 · The call signatures correspond to these three different ways to use this method: 1. It is a crucial component when creating visualizations to help the viewers understand the data and the meaning of different elements in the plot. See Axes. get_legend_handles_labels() only gives me May 18, 2019 · Scatter plots with a legend ¶ To create a scatter plot with a legend one may use a loop and create one scatter plot per item to appear in the legend and set the label accordingly. This guide makes use of some common terms, which are documented here for clarity: legend entry A legend is made up of one or more legend entries. An entry Jun 28, 2018 · Legend guide ¶ Generating legends flexibly in Matplotlib. An entry We would like to show you a description here but the site won’t allow us. Jul 29, 2016 · I would like to make a complex legend in matplotlib. Mar 7, 2024 · Problem Formulation: When visualizing data with Python’s Matplotlib library, it’s often desirable to customize the plot’s legend to display only a subset of the items. i just want to know how much freedom do we have in editing the legend entries and customizing them Mastering Matplotlib Legend Placement is crucial for creating clear, professional visualizations. In this comprehensive guide, we’ll explore various techniques to customize and enhance your matplotlib legend colors. May 18, 2019 · Legend guide ¶ Generating legends flexibly in Matplotlib. plot / matplotlib. Apart from this, we will also learn various ways of customizing a legend in matplotlib. move_legend as shown at Move seaborn plot legend to a different position. Here's the code and the plot works fine with all my inputs being simple NumPy arrays. The syntax of the method is below : Example: Adding Simple legend Legend guide ¶ Generating legends flexibly in Matplotlib. The location of the legend in your plot is crucial for ensuring it does not obstruct any important information. Under the hood, it uses Matplotlib and has significant integration with the Pandas data analysis library. The following also demonstrates how transparency of the markers can be adjusted by giving alpha a value between 0 and 1. Jan 18, 2016 · my problem was solved when i imported and used matplotlib library. We’ll explore various techniques to precisely position your legend title, ensuring your plots are both aesthetically pleasing and easy to interpret. In this article, we will explore how to create and customize legends in […] This post explains how to add and customize the legend on a chart made with Python and Matplotlib. For example: Aug 13, 2021 · """The legend module defines the Legend class, which is responsible fordrawing legends associated with axes and/or figures important:: It is unlikely that you would ever create a Legend instance manually. ran Aug 1, 2024 · How to Master Matplotlib Legend Location: A Comprehensive Guide Matplotlib legend location is a crucial aspect of data visualization that can significantly enhance the readability and interpretability of your plots. plot(length, Since the data does not have any labels, creating a legend requires us to define the icons and labels. matplotlib. Explicitly listing the artists and labels in the legend For full control of which artists have a legend entry, it is possible to pass an iterable of legend artists followed by an iterable of legend labels respectively: fig. legend matplotlib. If, on the other hand, you can be content with placing a comprehensive legend in the last subplot, you can do like this Apr 20, 2011 · To add a legend to a matplotlib plot, one simply runs legend(). Understanding how to refine your Python Matplotlib Legend is key to improving your data presentations. References The use of the following functions, methods, classes and modules is shown in this example: matplotlib. font_manager. Here’s the minimal example: Aug 13, 2021 · matplotlib. Mar 23, 2019 · Multiple examples on how to display and customize legends on matplotlib plots. Follow practical USA-based examples to improve your data visualizations. legend ¶ The legend module defines the Legend class, which is responsible for drawing legends associated with axes and/or figures. An entry 2. Then I started seeing them pop up as _child0 (or similar) in the legend. I made the following code import matplotlib. Jul 23, 2025 · In this example, we will draw different lines with the help of matplotlib and Use the title argument to plt. May 18, 2019 · 3. plot matplotlib. plot() ax. frameon value of False ax = df. This article will guide you through the process of placing two different legends on the same graph using Python's Matplotlib library. Here’s an example that does two things, i. This guide makes use of some common terms, which are documented here for clarity: legend entry # A legend is made up of one or more legend entries. #do patches and labels Matplotlib Legend Issues are surprisingly common, even for experienced users. legend(loc=0). This guide makes use of some common terms, which are documented here for clarity: legend entry ¶ A legend is made up of one or more legend entries. It’s all about making your data speak clearly. 1. subplot () #create the axes ax. This legend guide is an extension of the documentation available at legend() - please ensure you are familiar with contents of that documentation before proceeding with this guide. random. Jul 23, 2025 · By arranging legend items into multiple columns we can make our plot more compact and visually appealing. matplotlib makes it easy to create multi-column legends and helps us improve the readability and layout of our plots and helps in organizing them more effectively. In this article, we will explore different legend locations in Mar 19, 2025 · plt. In this comprehensive guide, we’ll explore various methods to adjust the matplotlib legend font size, providing you with the tools to enhance your data visualizations. legend() is used to change the location of the legend of the plot in Pandas. Apr 11, 2025 · A legend in Matplotlib is a visual key that explains the meaning of the different elements in a plot. Apr 29, 2024 · Legend in Matplotlib Legend in Matplotlib is a feature that explains the elements of a plot. those that return matplotlib Axes). My th Nov 23, 2024 · The legend interferes with data interpretation by covering key lines and widths. When adding the legend function a Legend guide # Generating legends flexibly in Matplotlib. In this article, we will delve into the usage of legends in Matplotlib and how Feb 8, 2025 · I’m using matplotlib 3. First we'll show off how to make a legend for specific lines. An Jul 23, 2025 · Adding a legend to a scatter plot in Matplotlib means providing clear labels that describe what each group of points represents. legend # The legend module defines the Legend class, which is responsible for drawing legends associated with axes and/or figures. legend() function places descriptive text labels alongside representative samples of the plot elements, making it easier to interpret data visualizations Jun 27, 2024 · Method 1: Adding a Basic Legend To add a basic legend to a plot in Matplotlib, you can use the plt. Learn how to change the size of the legend in Matplotlib in just three steps. An entry is made up of exactly one key and one label. uykheso eyo sqsrl bqvzfy odvueoo ucqxk rwcxe yym zybq fydhhfu