How to display only one legend for a figure with multiple plots? (2024)

FAQs

How to make one legend for all subplots? ›

There is no built-in way to create an "overall legend". But it is perfectly fine to use a legend associated with a subplot as an overall legend. You will have to play with the legend's position to achieve the desired look. The easiest way to do it is manually, by dragging the legend inside the figure.

Matplotlib, a popular Python library for data visualization, provides an easy way to create multiple plots on the same figure using the `add_subplot()` method. The `add_subplot()` method takes three arguments: the number of rows, the number of columns, and the index of the plot.

Set the DisplayName property as a name-value pair when calling the plotting functions. Then, call the legend command to create the legend. Legends automatically update when you add or delete a data series. If you add more data to the axes, use the DisplayName property to specify the labels.

To move the legend outside the plot, we'll use the bbox_to_anchor and loc parameters of the legend function. The bbox_to_anchor parameter specifies the legend's position. The tuple (1.05, 1) positions the legend just outside the plot's right edge. The loc parameter determines where the legend's anchor point should be.

A subplot () function is a wrapper function which allows the programmer to plot more than one graph in a single figure by just calling it once.

Table Legends: These are captions for tables with a single phrase or sentence. Figure Legends: These are captions for figures which give overall information about the figure represented and are usually longer than table legends.

subplots() method provides a way to plot multiple plots on a single figure.

You can display multiple axes in a single figure by using the tiledlayout function. This function creates a tiled chart layout containing an invisible grid of tiles over the entire figure. Each tile can contain an axes for displaying a plot.

How to plot in different subplots in Matplotlib? ›

To create multiple plots use matplotlib. pyplot. subplots method which returns the figure along with the objects Axes object or array of Axes object. nrows, ncols attributes of subplots() method determine the number of rows and columns of the subplot grid.

To add a second legend, we need to use the ax. legend() method to create the first legend, and then manually add a second legend using the plt. gca(). add_artist() method.

The multiple subplots are defined by a collection of different plotting graphs. The Matplotlib is name of the module that provides animated and interactive visualization in Python. In Python, we have some built-in function named suptitle() that can be used to Set a Single Main Title for All the Subplots in Matplotlib.

sgtitle( txt ) adds a title above the grid of subplots in the current figure. If a figure does not it exist, then this command creates one. sgtitle( target , txt ) adds the title to the subplot grid in the specified figure, panel, or tab, instead of the current figure.

On the "map" visual you are only able to add one legend which is a color legend. Often times you need two legends.