How can I visualize data using NumPy and Pandas?

How can I visualize data using NumPy and Pandas?

You can use libraries like Matplotlib or Seaborn along with NumPy and Pandas to create various visualizations.

Can you show me an example of plotting a simple line graph?

Sure! First, you can create a DataFrame using Pandas, then use the plot() method to visualize it. Here's a quick example:

import pandas as pd
import matplotlib.pyplot as plt

data = {'x': [1, 2, 3, 4], 'y': [10, 15, 7, 10]}
df = pd.DataFrame(data)
df.plot(x='x', y='y', kind='line')
plt.show()

What if I want to create a bar chart instead?

You can easily change the kind parameter in the plot() method to 'bar'. Here's how:

df.plot(x='x', y='y', kind='bar')
plt.show()

Are there any other visualization types I can use?

Yes, you can create scatter plots, histograms, box plots, and more by changing the kind parameter. Just explore the options!