Where region_colors.values() are all unique values from your DataFrame in the form of a dictionary with their colours. ![]() If you need to create a custom legend with multiple options you can use Python list comprehensions like: custom =, , marker='.', color=i, linestyle='None', markersize=25) for i in region_colors.values()] In order to plot the Scatterplot we generate 2 lists of random integers by: x = np.random.normal(0,1,15)Īnd list of random colors by: colors = Ĭustom Scatterplot legend with multiple options We will use the () method to describe and label the elements of the graph and distinguishing different plots from the same graph. Next we set the legend labels, the font size and the legend position by: plt.legend(custom,, loc='upper left', fontsize=15) In this article, we are going to add a legend to the depicted images using matplotlib module. Is shown in the legend and the automatic mechanism described aboveīy: custom =, , marker='.', markersize=20, color='b', linestyle='None'), Use this together with labels, if you need full control on what In order to create custom legend with Matplotlib and Scatterplot we follow next steps:įirst we start with creating the legend handles which are described as:Ī list of Artists (lines, patches) to be added to the legend. Notebook Explanation of custom Scatterplot legend ![]() Plt.legend(custom,, loc='upper left', fontsize=15) ![]() import randomĬustom =, , marker='.', markersize=20, color='b', linestyle='None'), The example is showing a simple Scatterplot of few random points. In this short post you can find an example on how to add custom legend in Matplotlib and Python.
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