# How to plot points in matplotlib with Python

In this article, we will learn **“How to plot points in matplotlib with Python”**. For this, we have to implement two popular modules of Python in the field of plotting graph or figure named “**matplotlib**” and “**numpy**“. The main motto of this article is to learn how to plot any point or any graph(scattered point of graph) in matplotlib using Python.

## Plotting of points in matplotlib with Python

There is a method named as “**scatter(X,Y)**” which is used to plot any points in matplotlib using Python, where X is data of x-axis and Y is data of y-axis.

Let’s understand this with some example:-

**In this example, we will plot only one point**

# importing two required module import numpy as np import matplotlib.pyplot as plt # Creating a numpy array X = np.array([1]) Y = np.array([5]) # Plotting point using sactter method plt.scatter(X,Y) plt.show()

Output:-

In the above example, the first step is to import two modules of Python named as numpy and matplotlib by these two lines of codes:-

- import numpy as np
- import matplotlib.pyplot as plt

and then we created a numpy array and stored in a variable named as X and then created another numpy array and stored this in another variable named as Y. We stored only one value in X and Y, since we have to plot a single point in this example. Then we used the “**plt.scatter(X,Y)**” and “**plt.show()**” to plot that required point.

**In this example, we will plot many points.**

# importing two required module import numpy as np import matplotlib.pyplot as plt # Creating a numpy array X = np.array([1,2,3,-1,-2]) Y = np.array([6,1,-4,2,5]) # Plotting point using scatter method plt.scatter(X,Y) plt.show()

Output:-

The explanation for the above example is the same as the first example, the only difference is that we stored more than one variable in X and Y, since we have to plot more than one point.

**In this example, we will plot a sine function point.**

# importing two required module import numpy as np import matplotlib.pyplot as plt # Taking points on x-axis from 0 to 10 and the last argument 30 is stating that 10 is divided into thirty equal interval. x = np.linspace(0,10,30) # y is a sine function y = np.sin(x) # Plotting point using scatter method plt.scatter(x, y,color="black") plt.show()

Output:-

In the above example again the explanation is the same as explained above, the only difference is that we used a new method “**np.linspace(0,10,30)**“. This method is used to divide an equal interval between two points.

Let’s understand with an example:-

Let say we used “**np.linspace(0,10,30)**” this means that we are dividing 0-10 interval into 30 equal interval. So, there are 30 points located in above plot.

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