figurefirst and matplotlib figure objects

[jfear]

FigureFirst looks like a very exciting project, your have identified a major pain point for many people.

I was looking through the documentation, and I was wondering if you had any suggestions for placing a separate mpl.Figure() onto a FigureFirst axis. For example, some of seaborn's more complicated plots (e.g., clustermap, FacetGrid) use gridspec under the hood to build an entire figure. There is no way to pass a mpl.Axes() to the plotting function.

The only possible solution I could think of is: create the seaborn figure, save it as SVG, and then import and add that to the FigureFirst template. Is it possible to import an separate SVG image and add that to a FigureFirst axis? If not it would be a nice feature.

Thanks again for the neat tool, I am going to start playing with it.

[psilentp]

Hi @jfear glad it helps. I think there might be a solution using the figure templating function. @florisvb what do you think?

[florisvb]

Yea that could work I think.

@jfear - could you put together a short example that you wish would work? That would be a good starting point I think.

• Floris

On Tue, Oct 2, 2018 at 11:16 AM Theodore Lindsay [email protected] wrote:

Hi @jfear https://github.com/jfear glad it helps. I think there might be a solution using the figure templating function. @florisvb https://github.com/florisvb what do you think?

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-- Floris van Breugel Currently: Moore-Sloan / Sackler Fellow at UW, Seattle, WA Soon: Assistant Professor of Mechanical Engineering at UNR, Reno, NV Science: http://www.florisvanbreugel.com

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[jfear]

Thank you for the quick response.

Environment

# python 3.6
numpy==1.13.1
seaborn==0.9.0
matplotlib==2.2.3

I would like generate something like this:

import numpy as np
import seaborn as sns

dat = np.random.rand(100).reshape(10, 10)
g = sns.clustermap(dat)
g.fig.savefig('clustermap.svg')

I would then want to clustermap.svg and add it to a FigureFirst template. Something like:

import numpy as np
import matplotlib.pyplot as plt
from figurefirst import FigureLayout

layout = FigureLayout('hello_world_layout.svg')

# some sort of magic like this
layout.add_svg_to_axis('clustermap.svg', 'axis')

layout.insert_figures('target_layer_name')
layout.write_svg('hello_world_output.svg')

Other use cases:

• Build subfigures using GridSpec or Subplots and then add them as a panel
• Pre-generate figures and then compile them later, a similar workflow to svgutils.
• If you like inception, you could import one FigureFirst template into another. Don't know if that would be useful, but would be trippy.

Thanks again for taking a look at this, it sounds like a complicated problem to me.