learning
/
data_science_from_scratch
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity
You cannot select more than 25 topics Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
master
Branches Tags
${ item.name }
Create tag ${ searchTerm }
Create branch ${ searchTerm }
from '4b08850756'
${ noResults }
data_science_from_scratch/ch3
History
androiddrew 4b08850756 Finishing out chapter 3 6 years ago
..
README.md Finishing out chapter 3 6 years ago
__init__.py On to ch3 6 years ago
bar_chart.py On to ch3 6 years ago
bar_histogram.py adding histogram example 6 years ago
line_plot.py On to ch3 6 years ago
multiline_chart.py Finishing out chapter 3 6 years ago
scatter_plot.py Finishing out chapter 3 6 years ago
scatter_plot_and_scales.py Finishing out chapter 3 6 years ago

README.md

Chapter 3

Takeaway

This chapter gives a brief introduction to simple visualizations with matplotlib. It can do a lot more than this though.

For further resources you should check out:

  • Seaborn a framework built on top of matplotlib. Produces more complex and prettier visualizations.

  • Bokeh is an interactive visualization library that targets modern web browsers for presentation. Its goal is to provide elegant, concise construction of versatile graphics, and to extend this capability with high-performance interactivity over very large or streaming datasets.

  • ggplot Which is a python port of the R library's ggplot2.