![]() ![]() ![]() Where region_colors.values() are all unique values from your DataFrame in the form of a dictionary with their colours. 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. 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. 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()] The normal way to plot plots with points in different colors in matplotlib is to pass a list of colors as a parameter. To make a legend for all artists on an Axes, call this function with an iterable of strings, one for each legend item. 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 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. Next we set the legend labels, the font size and the legend position by: plt.legend(custom,, loc='upper left', fontsize=15) 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) 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. Line2D(,, marker='.', markersize=20, color='r', linestyle='None')] To create a scatter plot with a legend one may use a loop and create onescatterplot per item to appear in the legend and set the labelaccordingly. 2 Answers Sorted by: 2 The issue is that you can't pass the Line objects directly to the legend call. import randomĬustom =, , marker='.', markersize=20, color='b', linestyle='None'), Unlike matplotlib, proplot adds outer colorbars and legends by allocating new rows and columns in the GridSpec rather than stealing space from the parent. ![]() 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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