The third argument represents the index of the current plot. The following is the syntax: import matplotlib.pyplot as plt plt. In matplotlib, you can create a scatter plot using the pyplot’s scatter () function. It offers a range of different plots and customizations.

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. Matplotlib is a library in python used for visualizing data. 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.Output: Multiple scatter plots on the same graphĬode explanation: Multiple 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 graph Using Subplots Plotting data in different graphs. The primary difference of plt.scatter from plt.plot is that it can be used to create scatter plots where the properties of each individual point (size, face.

So there are two to Plot multiple scatter plots in matplotlib. Plotting Multiple Scatter Plots in Matplotlib () is used to show the grid in the graph.In this example, a random color is generated for each dot using np.random.rand(). Constructing the Plotting Function Function Definition Filling missing data Extracting Plot Variables Perform Regression Start the plot, colour-code and.() is used to plot a scatter plot where 's' is marker size, 'c' is color, and alpha is the blending value of the dots ranging from 0 to 1.random.randint() generates a random number but a list of random numbers.is used to change the size of the graph and can be adjusted according to the data it holds.

Matplotlib scatter plot