![]() The third argument represents the index of the current plot. The use of the following functions, methods, classes and modules is shown in this example: / Download Python source code: scatter.py Download Jupyter notebook: scatter. Therefore, it can be used for multiple scatter plots on the same figure.subplot() function takes three arguments first and second arguments are rows and columns, which are used for formatting the figure. Subplots in matplotlib allow us the plot multiple graphs on the same figure. Plotting multiple scatter plots using subplots The second scatter plot has a marker color black, the linewidth is 2, the marker style pentagon, the edge color of the marker is red, the marker size is 150, and the blending value is 0.5.The first scatter plot has a red marker color, the linewidth is 2, the marker style diamond, the edge color of the marker is blue, the marker size is 70, and the blending value is 0.5.x1,y1, and x2,y2 are the list of the data to visualize different scatter plots on the same graph.Multiple scatter plots can be graphed on the same plot using different x and y-axis data calling the function () multiple times.Įxample: Multiple scatter plots on the same graphĬode explanation: Multiple scatter plots on the same graph Using Subplots Plotting data in different graphs.So there are two to Plot multiple scatter plots in matplotlib. The Axes.scatter () function in axes module of matplotlib library is used to plot a scatter of y vs. ![]() Plotting Multiple Scatter Plots in Matplotlib It needs two arrays of the same length, one for the values of the x-axis, and one for values on the y-axis: Example Get your own Python Server A simple scatter plot: import matplotlib.pyplot as plt import numpy as np x np. The required positional arguments supplied to ax.scatter() are two lists. The scatter () function plots one dot for each observation.
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