A package for organizing matplotlib plots.
Project description
grid-strategy
Grid-strategy is a python package that enables the user organize matplotlib plots using different grid strategies.
Abstract
This package would add a mechanism for creating a grid of subplots based on the number of axes to be plotted and a strategy for how they should be arranged, with some sensible strategy as the default.
Detailed Description
It is often the case that you have some number of
plots to display (and this number may be unknown
ahead of time), and want some sensible arrangement
of the plots so that they are all roughly equally
aligned. However, the subplots
and gridspec
methods for creating subplots require both an x
and a y
dimension for creation and population of
a grid. This package would allow users to specify a
strategy for the creation of a grid, and then specify
how many axes they want to plot, and they would
get back a collection of axes arranged according
to their strategy.
A proof of concept was implemented for the 'squarish'
strategy, which arranges plots in alternating rows
of x
and x-1
objects. Some examples featuring this
technique:
This makes use of a GridStrategy
object, which populates a GridSpec
. In general, this concept can likely be implemented as a layer of abstraction above gridspec.GridSpec
.
Some basic strategies that will be included in the first release:
"Squarish"
(name subject to change) - As implemented in the demo code above - currently this is centered, but the baseSquarishStrategy
object could have options likejustification
which could include:'center'
(default),'left'
,'right'
- empty spaces either center the plots or leave them ragged-left or ragged-right'fill-space'
andfill-grow'
(names subject to change) - These would fill every column as "fully-justified", withfill-space
increasing the interstitial space andfill-grow
modifying the width of the plots themselves to fill the row.
"Rectangular"
- Similar to"Squarish"
, this would find the largest pair of factors of the number of plots and use that to populate a rectangular grid - so6
would return a 3x2 grid,7
would return a 7x1 grid, and10
would return a 5x2 grid.
Since many of these grid strategies would likely have at least some asymmetries, a mechanism for transposing any grid structure should be implemented in the base GridStrategy
object.
Higher dimensions
Currently the package is limited to 2-dimensional
grid arrangements, but a "nice-to-have" might be
a higher-order API for GridStrategy
that also allows
for the proliferation of additional figures (e.g.
"if I have more than 10 axes to plot, split them
up as evenly as possible among n / 10
different
figures"). This would be no harder to implement
in terms of the creation of such strategies, but
may be harder to work with since it would
necessarily spawn axes across multiple figures.
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