![]() ![]() ![]() Line_proxy = mlines.Line2D(,, color=line_color)Īxs. It represent the reletionship between two variables in a data-set. Then, we create the legend in the figure using the legend () function and finally display the entire figure using. ![]() We assign the label to each scatter plot used as a tag while generating the legend. We have two separate scatter plots in the figure: one represented by x and another by the o mark. Scatter Plot is a graph in which the values of two variables are plotted along two axes. Add a Legend to the 2D Scatter Plot in Matplotlib. Scatter_proxy = mlines.Line2D(,, color='white', marker='o', markerfacecolor=scatter_color) Legend is an area that outlines the elements of the plot. H2 = axs.plot(x, y2, c=line_color, label='line') You can use the following syntax to add a legend to a scatterplot in Matplotlib: import matplotlib.pyplot as plt from lors import ListedColormap define values, classes, and colors to map values 0, 0, 1, 2, 2, 2 classes 'A', 'B', 'C' colors ListedColormap ( 'red', 'blue', 'purple') create scatterplot scatter plt. H1 = axs.scatter(x, y, c=scatter_color, label='scttr') I realise making the line color white is a bit hacky, but it was the best way I could find. You create both using 2D but the one for the scatter plot has a white line (so isn't effectively seen) and has markers added to it. For example: ax.plot( 1, 2, 3) ax.plot( 5, 6, 7) ax.legend( 'First line', 'Second line') Parameters: handlessequence of Artist, optional A list of Artists (lines, patches) to be added to the legend. Syntax: ( title1, Title2, ncol 1, loc upper left. We will use the () method to describe and label the elements of the graph and distinguishing different plots from the same graph. What you can do, instead, is create some different objects ( known as proxy artists) to fill the gap, so to speak.īelow are two proxy objects, scatter_proxy and line_proxy, for the scatter plot and line plot, respectively. One case where a custom legend might be desired is a scatter plot where a lot of different colors are used for a shape, but the user only wants one shape to. To make a legend for all artists on an Axes, call this function with an iterable of strings, one for each legend item. In this article, we are going to add a legend to the depicted images using matplotlib module. Unlike matplotlib, proplot adds outer colorbars and legends by allocating new rows and columns in the GridSpec rather than stealing space from the parent. Below are two proxy objects, scatterproxy and lineproxy, for the scatter plot and line plot, respectively. What you can do, instead, is create some different objects ( known as proxy artists) to fill the gap, so to speak. The issue is that you can't pass the Line objects directly to the legend call. pos 0 x 1,2,3 y 2,3,4 y2 3,5,3 fig, axs plt.subplots (1,2) for pos in 0,1: h1 axs pos. 2 Answers Sorted by: 2 The issue is that you can't pass the Line objects directly to the legend call. ![]()
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