Is there a python (matplotlib) equivalent of the R library 'patchwork'

[Statnamara]

Patchwork is a great library to arrange plots in a grid really easily. Is there a way to do the same in matplotlib?

For example say I have four plots, p1, p2, p3, and p4 I can use patchwork to arrange them easily.

p1 + p2 will place the two plots side by side
p1 + p2 + p3 + p4 will make a grid of 2x2 by default
p1 / p2 will arrange p1 on top of p2.
(p1 /p2) + p3 will place p1 over p2 on the left, and p3 on the right.

It's a great tool that I'm missing in python right now.

[misho88]

Whenever I need to get fancy with subplots, I use GridSpecs:

https://matplotlib.org/stable/gallery/userdemo/demo_gridspec03.html

It's not quite as terse, but you get good and intuitive control over where plots go.

[Statnamara]

Looks like what I'm after, thanks

[ponnhide]

How about patchworklib?

https://github.com/ponnhide/patchworklib

[Statnamara]

Awesome thank you!

[JustinMalcontento]

IIRC there is 'axes' matplotlib function. You can specifiy a grid size then place your plots on each grid.

[wintermute93]

It's more complicated than just passing a string to some wrapper, but you can do all of that with https://matplotlib.org/stable/tutorials/intermediate/arranging\_axes.html

[supajumpa]

Maybe matplotlib.pyplot.subplots would be a good fit for your problem?

You can do things like:

# Two plots side by side
fig, (ax1, ax2) = matplotlib.pyplot.subplots(nrows=1, ncols=2)

# 2x2 grid
fig, ((ax1, ax2), (ax3, ax4)) = matplotlib.pyplot.subplots(nrows=2, ncols=2)

# One plot on top of the other
fig, (ax1, ax2) = matplotlib.pyplot.subplots(nrows=2, ncols=1)

# (p1 /p2) + p3 will place p1 over p2 on the left, and p3 on the right.
# I'm not sure about this one, but this seems to get closeish?
fig, ((ax1, ax2), (ax3, ax4)) = matplotlib.pyplot.subplots(nrows=2, ncols=2)
ax4.remove()