Plotting Sine and Cosine Graph using Matplotlib in Python

Plotting Sine and Cosine Graph using Matplotlib in Python

Plotting sine and cosine graphs using Matplotlib in Python is a straightforward task. To do this, you'll need to generate a range of x-values (typically using numpy), compute the sine and cosine of these values, and then plot them using Matplotlib. Here's a step-by-step guide to plot these graphs.

Step 1: Install Matplotlib and Numpy

If you haven't installed Matplotlib and Numpy, you can install them using pip:

pip install matplotlib numpy 

Step 2: Import Required Libraries

import matplotlib.pyplot as plt import numpy as np 

Step 3: Generate X-Values and Compute Sine and Cosine

# Generate a range of x-values x = np.linspace(-np.pi, np.pi, 300) # Compute sine and cosine for these x-values y_sin = np.sin(x) y_cos = np.cos(x) 

Step 4: Plot the Graphs

# Create a new figure plt.figure() # Plot sine graph plt.plot(x, y_sin, label='Sine') # Plot cosine graph plt.plot(x, y_cos, label='Cosine') # Title of the plot plt.title('Sine and Cosine Graphs') # X and Y axis labels plt.xlabel('x') plt.ylabel('sin(x) and cos(x)') # Legend plt.legend() # Show grid plt.grid(True) # Show the plot plt.show() 

Explanation:

  • np.linspace(-np.pi, np.pi, 300): Generates 300 evenly spaced values between −π and π.
  • np.sin(x) and np.cos(x): Compute the sine and cosine of the x-values.
  • plt.plot(): Plot the x and y values. The label argument is used to set the labels for the graphs.
  • plt.title(), plt.xlabel(), and plt.ylabel(): Set the title of the plot and labels for the x and y axes.
  • plt.legend(): Display a legend to identify the graphs.
  • plt.grid(True): Enable a grid for easier readability.
  • plt.show(): Display the plot.

This will produce a plot with both the sine and cosine curves, spanning from −π to π. You can customize the plot further, such as changing colors, line styles, adding markers, etc., using additional arguments in plt.plot().


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