
Lecture Description
In this Matplotlib tutorial, we cover the 3D bar chart. The 3D bar chart is quite unique, as it allows us to plot more than 3 dimensions. No, you cannot plot past the 3rd dimension, but you can plot more than 3 dimensions.
With bars, you have the starting point of the bar, the height of the bar, and the width of the bar. With a 3D bar, you also get another choice, which is depth of the bar. Most of the time, a bar chart starts with the bar flat on an axis, but you can add another dimension by releasing this constraint as well.
sample code: pythonprogramming.net
hkinsley.com
twitter.com/sentdex
sentdex.com
seaofbtc.com
Course Index
- Introduction and Line
- Legends titles and labels
- bar charts and histograms
- Scatter Plots
- stack plots
- Pie Charts
- loading data from files
- getting data from the internet
- converting data from the internet
- basic customizations, rotating labels
- handling unix time
- more customization of colors and fills
- spines and horizontal lines
- candlestick OHLC graphs
- styles
- Live graphs
- annotations and placing text
- annotating last price to edge of matplotlib graph example
- subplots
- implementing subplots to our stock chart
- adding more indicator data to our charts
- cleaning chart, custom fills, pruning
- sharex axis
- multi y axis plotting volume on stock chart
- customizing Matplotlib Legends
- Basemap intro
- Basemap customization options
- plotting coordinates on a map with Basemap
- matplotlib 3d intro
- 3d scatter plot
- 3d bar charts
- conclusion
Course Description
Learn how to visualize data in the form of line graphs, bar charts, pie charts, 3D graphs, and more with Python 3 and Matplotlib.