We plotted the graph using the scatter function. Next, we used the axes function of Matplotlib to create the axes object.Under this function, we first defined the size of the figure using the figsize function. This is a void function again, and it takes three parameters, namely x, y, and z. Next, we created a user-defined function called scatter_plot.You are free to import them anywhere in the program. Note that it is not required to import the libraries at the top. We imported all the libraries and codes in our program at the top.# Iterating through the n variable and creating the annotation Finally, we called the main function using the following lines of codes: if _name_ = “ main“: main()Ĭheck This: I have wrote a full guide on Matplotlib Scatter Plot if you want to know more about scatter plot in python matplotlib library (What it is and how to plot a scatter plot using different functions and techniques).We called the scatter_plot function to plot the graph. Then we converted the data type of the zip into a list using the list function. We made pair from y and z using the zip function. We used the arange function of numpy to create the data points. Under this function, we defined the data points for the plot. We created the main function, which is the driving code of our program.Next, we displayed the graph using the show function. ![]() We also defined the title of the plot using the title function. Next, we defined the labels along the x and y axes using the xlabel and ylabel functions. ![]() And the third argument is the coordinate in which we should place the text. Second is the coordinates of the plot that we need to plot. First is the text that needs to be displayed as the annotation. Under each annotated function, we passed three parameters.
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