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To create a scatter plot with a legend one may use a loop and create one scatter plot per item to appear in the legend and set the label accordingly.
Matplotlib scatter plot color by category legend. How to add a legend for a scatter plot in matplotlib. First simple example that combine two scatter plots with different colors. Combining two scatter plots with different colors. To create a scatter plot with a legend one may use a loop and create one scatter plot per item to appear in the legend and set the label accordingly.
C colormap categories pop a mpatches patch color 0b559f label population a pop b mpatches patch color 89bedc label population b. Scatter plot are useful to analyze the data typically along two axis for a set of data. Plt plot group x group y marker o linestyle markersize 12 label name plt legend you can find more python tutorials here. To change the color of a scatter point in matplotlib there is the option c in the function scatter.
The following also demonstrates how transparency of the markers can be adjusted by giving alpha a value between 0 and 1. Import matplotlib pyplot as plt import matplotlib patches as mpatches import numpy as np x 1 2 3 4 5 6 7 8. Import matplotlib pyplot as plt groups df groupby z for name group in groups. Scatter plots with a legend.
It shows the relationship between two sets of data. The data often contains multiple categorical variables and you may want to draw scatter plot with all the categories together. Matplotlib scatter plot color by category in python. The following code shows how to create a scatterplot using the variable z to color the markers based on category.
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