x: specify data position on the x-axis.The above-used parameters are outlined as below: The syntax to create a matplotlib scatter marker chart is as below: (x, y, s=None, c=None, marker=None. Display: At last display the plot by using the show() function.Plot a scatter: By using the scatter() method we can plot a graph.It takes data values in the form of an array.
Define X and Y: Define the data values on X-axis and Y-axis. Defining Libraries: Import the important libraries which are required for the creation of the scatter marker ( For visualization: pyplot from matplotlib, For data creation and manipulation: NumPy). The following steps are used to create a matplotlib scatter marker which is outlined below: It takes values in two arrays of the same length one for the x-axis and the other for the y-axis. It takes the data in the form of arrays. scatter() method is used to draw a scatter plot. So that’s why it is called as scatter marker. In matplotlib, plotted points are known as “ markers“. Basically, the scatter() method draws one dot for each observation. Under the pyplot module, we have a scatter() function to plot a scatter graph. Matplotlib provides a pyplot module for data visualization. Matplotlib scatter marker color by value or category. Matplotlib scatter marker text – all points annotation. Matplotlib scatter marker text – single point annotation. Matplotlib scatter marker different style for each marker. 
Matplotlib scatter marker different sizes for each marker.Matplotlib scatter marker different color for each marker.Matplotlib scatter marker multiple plot.
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