
Lecture Description
Many times, people want to graph data from a file. There are many types of files, and many ways you may extract data from a file to graph it. Here, we'll show a couple of ways one might do this. First, we'll use the built-in csv module to load CSV files, then we'll show how to utilize NumPy, which is a third-party module, to load files.
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.
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