The Best Graphing Packages For Python

Welcome back! Python is an amazing programming language that is perfect for data science, if you’re new to Python, check out the link below to learn more about it:

Everything you need to know about Python in 2022

So, let’s take a look at some awesome graphing packages you can use with Python!

Matplotlib

First up we have Matplotlib, this is one of the most popular graphing packages for Python, I personally use this package for a ton of my graphs. Matplotlib is pretty easy to use as well, here is a basic breakdown of building a bar chart with this package:

import matplotlib.pyplot as plt
import numpy as np
plt.style.use('_mpl-gallery')

# make data:
np.random.seed(3)
x = 0.5 + np.arange(8)
y = np.random.uniform(2, 7, len(x))

# plot
fig, ax = plt.subplots()

ax.bar(x, y, width=1, edgecolor="white", linewidth=0.7)

ax.set(xlim=(0, 8), xticks=np.arange(1, 8),
       ylim=(0, 8), yticks=np.arange(1, 8))

plt.show()