How can I visualize data using Matplotlib?

How can I visualize data using Matplotlib?

You can visualize data using Matplotlib by creating various types of plots like line graphs, bar charts, and scatter plots. What type of data do you want to visualize?

I have a dataset with sales figures over the last year. Can you help me create a line graph?

Sure! First, you'll need to import Matplotlib and your data. Here's a simple example:

import matplotlib.pyplot as plt
import pandas as pd

# Sample data
dates = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun', 'Jul', 'Aug', 'Sep', 'Oct', 'Nov', 'Dec']
sales = [150, 200, 250, 300, 350, 400, 450, 500, 550, 600, 650, 700]

plt.plot(dates, sales)
plt.title('Monthly Sales Figures')
plt.xlabel('Months')
plt.ylabel('Sales')
plt.show()

This will create a line graph of your sales data.

What if I want to add labels and a grid to the graph?

You can easily add labels and a grid by modifying the code like this:

plt.plot(dates, sales)
plt.title('Monthly Sales Figures')
plt.xlabel('Months')
plt.ylabel('Sales')
plt.grid(True)  # Add grid
plt.xticks(rotation=45)  # Rotate x-axis labels for better visibility
plt.show()

This will enhance your graph with a grid and improved label visibility.

Thanks! Can I save the graph as an image file?

Yes, you can save the graph using the savefig function. Just add this line before plt.show():

plt.savefig('sales_figures.png')

This will save your graph as a PNG file in the current directory.