![]() I think the most elegant way is that suggesyted by. E.g.: import matplotlib.pyplot ( 1,2,3, 4,5,6,color 'red','green','blue') When you have a list of lists and you want them colored per list. Import matplotlib.pyplot as plt import matplotlib.patches as mpatches import numpy as np x = y = categories = np.array() colormap = np.array() plt.scatter(x, y, s=100, c=colormap) pop_a = mpatches.Patch(color='#0b559f', label='Population A') pop_b = mpatches.Patch(color='#89bedc', label='Population B') plt.legend(handles=) plt.title('Nuage de points avec Matplotlib') plt.xlabel('x') plt.ylabel('y') plt.savefig('ScatterPlot_10.png') plt. Python, Machine Learning and Open Science are special areas of interest to me. The normal way to plot plots with points in different colors in matplotlib is to pass a list of colors as a parameter. It represent the reletionship between two variables in a data-set. Scatter Plot is a graph in which the values of two variables are plotted along two axes. Import matplotlib.pyplot as plt x = y = plt.scatter(x, y, c='coral', label='Class 1') x = y = plt.scatter(x, y, c='lightblue', label='Class 2') plt.legend() plt.title('Nuage de points avec Matplotlib') plt.xlabel('x') plt.ylabel('y') plt.savefig('ScatterPlot_09.png') plt.show() Add a legend to a scatter plot using "Proxy artists" Unlike matplotlib, proplot adds outer colorbars and legends by allocating new rows and columns in the GridSpec rather than stealing space from the parent. Legend is an area that outlines the elements of the plot. 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. Below are two proxy objects, scatterproxy and lineproxy, for the scatter plot and line plot, respectively. In this article, we are going to add a legend to the depicted images using matplotlib module. What you can do, instead, is create some different objects ( known as proxy artists) to fill the gap, so to speak. In this example I used their own subset of country level life expectancy dataset via gapminder to show how data in multiple subplots could have their own legend. 2 Answers Sorted by: 2 The issue is that you can't pass the Line objects directly to the legend call. ![]() How to add a legend for a scatter plot in matplotlib ? Solution: I found that Plotly's subplot functionality has two parameters that I could use to fake having an individual legend per subplot. Whether or not a given trace appears in the legend is controlled via the showlegend attribute. New to Plotly Trace Types, Legends and Color Bars Traces of most types can be optionally associated with a single legend item in the legend. ![]() Add a legend to a scatter plot using "Proxy artists" Legends in Python How to configure and style the legend in Plotly with Python. ![]()
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