Let’s say we had another dimension to our data, we can use the values in that dimension to control the size. In this section, we’ll look at using another set of values to set the size of matplotlib scatterplot markers. Changing the Marker Size for Individual Points in Matplotlib Scatterplots Based on Other Data In order to get a marker that is, say, size 10, we need to pass in the square of that. The s parameter is defined as the marker size in points ** 2, meaning that the value passed in is squared. To understand what the s= parameter controls, we need to take a look at the documentation. Plt.title('Changing Marker Sizes for All Points - datagy.io')Ĭhanging the marker size for all markers in Matplotlib Let’s see how we can change the size for all markers using the s= parameter: # Changing the size for all markers in Matplotlib Passing in a list of values changes the size for each marker individually.Passing in a single value changes the size for all markers.These options determine what the size of the markers is: The parameter accepts either an integer or a list of values.
The size of points is based on the s= parameter.
Matplotlib makes it simple to change the plot size for all points in a scatter plot. Changing the Marker Size for All Points in Matplotlib Scatterplots
#PYPLOT SCATTER MARKER STYLE HOW TO#
In the next section, you’ll learn how to change the marker size for all points in a Matplotlib scatterplot. Creating a simple scatterplot in Matplotlib
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