Matplotlib and NumPy Basics Reference Guide for Skulpt

1. Introduction to Matplotlib and NumPy in Skulpt

Matplotlib is a plotting library for creating static, animated, and interactive visualisations in Python. NumPy is a library for numerical computations, providing support for arrays and mathematical functions. In this online implementation of python, a subset of Matplotlib and NumPy functionalities are available for creating simple plots directly in the browser.

2. Importing Matplotlib and NumPy

Before plotting, you need to import the required libraries:

import matplotlib.pyplot as plt
import numpy as np

3. Creating Basic Plots

You can create basic line plots using Matplotlib.

Example: Plotting a Simple Line Graph

x = [1, 2, 3, 4, 5]
y = [2, 3, 5, 7, 11]
plt.plot(x, y)
plt.xlabel('X-axis')
plt.ylabel('Y-axis')
plt.title('Simple Line Graph')
plt.show()

4. Using NumPy Arrays

NumPy arrays are used for efficient numerical computations.

Creating NumPy Arrays

import numpy as np
a = np.array([1, 2, 3, 4, 5])
print(a)

Output:

[1 2 3 4 5]

5. Plotting Mathematical Functions

You can plot mathematical functions using NumPy and Matplotlib.

Example: Plotting a Sine Wave

import numpy as np
import matplotlib.pyplot as plt

x = np.linspace(0, 2 * np.pi, 100)
y = np.sin(x)

plt.plot(x, y)
plt.xlabel('x')
plt.ylabel('sin(x)')
plt.title('Sine Wave')
plt.show()