Python Visualization & Animation
Python Visualization Tutorial
Data visualization is graphical representation of data.
This technique is used in pretty much every field in business because there is always some type of data or statistic to interpret.
You can see the big picture, as well as smallest details more conveniently with visualization. It transforms numbers and relations to trends, colors, shapes and correlations.
Since programming is so powerful and it brings function and automation capabilities it makes sense that visualization is a big practice in Python also.
Visualization is a term with multiple meanings. Although it refers to the similar phenomenon that stimulates the same visual sensory in the brain, visualization can mean imagining something that’s currently not present. This usage is more common in psychology.
Visualization is often used to mean visualization of data in more technical or business related fields such as coding, research, science, finance etc.
Visualization can be done in many forms using Python.
Python Plotly Tutorials
Plotly is a very intuitive charting library in Python. It’s a very high level approach to beautiful visualizations but it can also be highly customized if need be.
Where Plotly truly shines is Plotly visualizations are really beautiful straight off the bat, it is open-source and also website friendly.
- HOW TO CREATE PLOTLY ANIMATIONS: THE ULTIMATE GUIDE
- HOW TO SAVE PLOTLY ANIMATIONS: THE ULTIMATE GUIDE
- HOW TO CREATE MAP CHARTS IN PYTHON (W/ PLOTLY & MAPBOX)
How to Install Plotly
pip install plotly or pip3 install plotly
Python Matplotlib Tutorials
Matplotlib is a less high level data visualization library but it can be the backbone of a sophisticated charting application because of its very detailed and adjustable nature. But beware, low-level coding also means writing more code even for very basic charting structures. Which can be very useful or painful depending on what you need.
In fact there are more user friendly libraries that are built on matplotlib for Python such as Seaborn which allows achieving very beautiful end results with very little code.
- HOW TO CREATE MATPLOTLIB ANIMATIONS: THE ULTIMATE GUIDE
- HOW TO SAVE MATPLOTLIB ANIMATIONS: THE ULTIMATE GUIDE
- A GUIDE TO MATPLOTLIB’S BUILT-IN STYLES
Matplotlib is known as the fundamental data visualization library for Python.
How to Install Matplotlib
Matplotlib is a native Python library so it doesn’t require separate installation.
For additional resources you can check out homepages of main data visualization libraries. Here are a few of them.
We have introduced a couple of sophisticated Python Visualization libraries and Visualization tutorials.
We have also shared additional resources that can compliment your learning and we made some definitions regarding data visualization.
Using our Python Tutorials you can also explore the world of animated charts or data animation with Python.