PYTHON PLOT SUBPLOT CODE
PYTHON PLOT SUBPLOT SERIES

The pyplot subplot() function has been utilized after every pair of x,y axes to make a subplot. All the arrays defined in the 1st, 3rd, and 5th axes are the same, while all the 2nd, 4th, and 6th axes are the same. We have started with the declaration of x and y axes for the 6 different plots using the NumPy array function. Now, 6 subplots will be created in the Spyder 3 console. The NumPy library object вЂњnвЂќ has been added as well.

PYTHON PLOT SUBPLOT CODE

So, we have started our new code with the same вЂњmatplotlib.pyplotвЂќ package support with its вЂњpвЂќ object. LetвЂ™s have a look at our last and a little long example of the subplot() function in the python tool. These two plots have been created with 2 rows and 1 column only. We have got the 2 subplots on the console screen, as shown below. The show() function is called with a pyplot вЂњpвЂќ object to show the plots on the console. Now, the plot function has been called once again. The second subplot has been created of 2 rows 1 column of the original plot using the subplot() function of pyplot. After this, we declared two axes, вЂњxвЂќ and вЂњyвЂќ using the NumPy array of 4 elements each. Now, the plot() function has been called. Now, the subplot() function of the pyplot package has been called with 2 rows, 1 column, and 1 subplot of the original plot. After this, we have added two axes of a plot using вЂњxвЂќ and вЂњyвЂќ and added values to both with the NumPy arrays separately.

After this, we have added the NumPy support using its package import with the вЂњnвЂќ object. So, we have started our new example with matplotlib.pyplot package import as object вЂњpвЂќ. Now, letвЂ™s take a look at the subplot() function in python to create a subplot within the original plot. plot (x ,y, marker = '*', color = 'red' )ДЄfter running the code, we have got the below plot in the console. LetвЂ™s save the code and execute it with the run button of Spyder. The marker is used to show the intersection point of both axes, and the color is used to draw the line in red.

This function takes two more arguments, i.e. We have to use the pyplot libraries вЂњplot()вЂќ function to create a plot with its axis. Both the arrays contain 4 elements of integer type and are saved to the respective axis. For this, we need to use the NumPy array with the NumPy object вЂњnвЂќ. Now, we have to define the вЂњxвЂќ and вЂњyвЂќ axis for a plot. After that, we have been importing the NumPy package as an вЂњnвЂќ object to utilize and add support for using the NumPy arrays in our code. So, we have imported the matplotlib.pyplot in our tool as object вЂњpвЂќ. You need to know that in python, you cannot create a plot without importing the matplotlib.pyplot package in the python tool to make our code executable for graphs. LetвЂ™s get started with the very first example to see how a plot can be constructed in Spyder 3. LetвЂ™s do some examples of the subplot() method. The present plotвЂ™s index is represented by the third parameter. The subplots() method requires three inputs, specifying the figureвЂ™s arrangement. Another disadvantage of the subplot method is removing all previously created plots from your display. You will use the subplot() method in various code lines to make numerous plots. It is identical to a subplots() method, except instead of adding several subplots at once, it only inserts one at the moment. The method subplot() creates a subplot to an existing image at the provided grid location.

PYTHON PLOT SUBPLOT SERIES

The matplotlib.pyplot package is a series of methods that allow matplotlib to behave similarly to MATLAB.

Python plot subplot