The table implementation in Matplotlib is lightly maintained. For a more featureful table implementation, you may wish to try :None:None:`blume
<https://github.com/swfiua/blume>`.
Use the factory function ~matplotlib.table.table
to create a ready-made table from texts. If you need more control, use the .Table
class and its methods.
The table consists of a grid of cells, which are indexed by (row, column). The cell (0, 0) is positioned at the top left.
Thanks to John Gill for providing the class and table.
Tables drawing.
Tables drawing.
The table implementation in Matplotlib is lightly maintained. For a more featureful table implementation, you may wish to try :None:None:`blume
<https://github.com/swfiua/blume>`.
Use the factory function ~matplotlib.table.table
to create a ready-made table from texts. If you need more control, use the .Table
class and its methods.
The table consists of a grid of cells, which are indexed by (row, column). The cell (0, 0) is positioned at the top left.
Thanks to John Gill for providing the class and table.
The following pages refer to to this document either explicitly or contain code examples using this.
matplotlib.pyplot.plotting
Hover to see nodes names; edges to Self not shown, Caped at 50 nodes.
Using a canvas is more power efficient and can get hundred of nodes ; but does not allow hyperlinks; , arrows or text (beyond on hover)
SVG is more flexible but power hungry; and does not scale well to 50 + nodes.
All aboves nodes referred to, (or are referred from) current nodes; Edges from Self to other have been omitted (or all nodes would be connected to the central node "self" which is not useful). Nodes are colored by the library they belong to, and scaled with the number of references pointing them