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Introduction to Data Science with Python

Challenge 2: Matplotlib for Data Visualization

Explore how to create complex data visualizations using Matplotlib by plotting data across multiple axes, adjusting axis limits, and adding informative titles and legends. This lesson helps you build versatile and clear graphs essential for data analysis.

We'll cover the following...

In the first cell, we simply create data x and y to use in the provided tasks.

Python 3.5
import matplotlib.pyplot as plt
# We need data to work with, so let’s create data first!
import numpy as np
x = np.arange(0,10)
y = x*2
z = x**2
print("X : ", x)
print("Y : ", y)
print("Z : ", z)
...