![]() Now the ndarray object of angles between 0 and 2(pie) is obtained using the arange() function from the NumPy library. Then we had imported the Math module for the mathematical calculations required in the visualization. The next step is to import Numpy with an alias of np in order to use arrays and functions related to it. The first step is to import the matplotlib.pyplot with an alias of plt. Let us take a look at the brief explanation of the code: ADDING HORIZONTAL LINE IN SCATTER PLOT MATPLOTLIB CODEThe code snippet for the same is given below: Now we are going to show you the visualization of Sine wave using matplotlib. ![]() The output for this code snippet is given below: In the above code example, plot(x, y) function is mainly used to draw a straight line. ![]() Let us see the code snippet for the simplest equation: import matplotlib.pyplot as plt The command for the same is given below: import numpy as np Graph for y=f(x) type in Matplotlib For ease, we will import Numpy with an alias np. So we will also import Numpy in our code. In the Numpy module of Python, there are many functions for creating array. Importing NumpyĪs we are going to plot numbers so in order to plot numbers, we need an array. Where we will import matplotlib with an alias plt for the ease. ![]() To import Matplotlib you just need to write the following command: import matplotlib.pyplot as plt Now the first and foremost step is to set up the notebook for plotting and importing those functions that we will use: 1. In this tutorial, we will cover the following simple line plots:Ĭreating a single figure with Multiple Lines (Sine and Cose function) Let us take a look at creating simple plots of this type. The visualization of the single line function that is y=f(x) is simplest among all. In this tutorial, we will cover the Simple Line Plots in Matplotlib. ![]()
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