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Data Science and AI
Charts with Matplotlib
One week to charts that say what you mean
A one-week classroom course on the Matplotlib quick start guide: the parts of a figure, the two coding styles, styling, labelling, axis scales and ticks, colour-mapped data, and working with several axes. This course prepares for no exam.
7Modules
IntermediateLevel
1 weekDuration
COURSE THUMBNAIL
What you will be able to do
Draw line, bar and scatter charts
Label and style a chart for a report
Lay out several charts in one figure
Course outline
01
A simple example; the parts of a figure
02
Inputs to plotting functions; the explicit and implicit interfaces
03
Styling: colours, line widths, line styles and marker sizes
04
Labelling plots: axis labels, text, annotations and legends
05
Axis scales and ticks; plotting dates and strings
06
Colour-mapped data: colormaps and colorbars
07
Working with multiple figures and axes
Tools you will use
MatplotlibPythonJupyter Notebook
What you need
Basic Python
