Matplotlib is one of the most important packages for Data Visulation

• One of the first package : first release in 2003

• originally developed by John D. Hunter

• contains several noticeable sub.packages :

Seaborn

GGplot

Pyplot

import matplotlib
import matplotlib.pyplot as plt
import seaborn as sns

import ggplot
from ggplot import diamonds

%matplotlib inline

import matplotlib
import matplotlib.pyplot as plt
import seaborn as sns

'Types of Plots :'

plt.hist()
plt.scatter()
plt.pie()
plt.bar()
...

Use the alias of pyplot : plt along with the type of plot you want

The Basics Commands in Matplotlib

plt.show()

-> 'Display the plot(s)'

plt.clf()

-> 'Clean the plot so that you can start fresh'

plt.scatter( 
x = diamonds['price'], 
y = diamonds['carat'])

plt.show()

plt.scatter(
x = diamonds.price,
y = diamonds.carat)

plt.show()

Call variables from a dataset

1. Using brackets

2. Using dots

plt.scatter(
x=diamonds.price,
y=diamonds.carat)

ggplot(data=diamonds) 
+ geom_point(aes(x=price, y=carat))

matplotlib.style.use('ggplot')

• Customize matplotlib to your own taste

matplotlib.style.use('dark_background')