How to draw subplots?

plotnine is made using matplotlib as the back-end, so I’m guessing there must be a way to draw subplots (without using faceting).

Is there a way to do so? I’d be happy to contribute to the documentation if someone points out a solution.

[peacej]

Such a feature would be hugely helpful, given how much people use cowplot/gridExtra for R ggplot2. I understand that it’s hard…

[ponnhide]

Please let me report here. I have now updated patchworklib to support plotnine v0.9.0 and the inheritance of the plotnine theme (The previous version of patchworklib cannot handle style settings of plotnine properly). Now, you can freely arrange multiple plotnine plots using patchworklib as follows.

import patchworklib as pw
from plotnine import *
from plotnine.data import *
g1 = pw.load_ggplot(ggplot(mtcars) 
                    + geom_point(aes("mpg", "disp"))
                    + theme(text=element_text(size=14), axis_title=element_text(size=18)),
                    figsize=(2,3))
g2 = pw.load_ggplot(ggplot(mtcars) 
                    + geom_boxplot(aes("gear", "disp", group="gear"))
                    + theme(text=element_text(size=14), axis_title=element_text(size=18)), 
                    figsize=(2,3))
g3 = pw.load_ggplot(ggplot(mtcars, aes('wt', 'mpg', color='factor(gear)')) 
                    + geom_point() + stat_smooth(method='lm') 
                    + facet_wrap('~gear')
                    + theme(text=element_text(size=14), axis_title=element_text(size=18)), 
                    figsize=(3,3))
g4 = pw.load_ggplot(ggplot(data=diamonds) 
                    + geom_bar(mapping=aes(x="cut", fill="clarity"), position="dodge")
                    + theme(text=element_text(size=14), axis_title=element_text(size=20, color="blue"), 
                            legend_text=element_text(size=14), legend_title=element_text(size=18)), 
                    figsize=(5,2))
g1234 = (g1|g2|g3)/g4
g1234.savefig()

Furthermore, by using the newest version of patchworklib and plotnine, you can draw a scatter plot with marginal distributions as follows.

import patchworklib as pw
from plotnine import *
from plotnine.data import *

g1 = pw.load_ggplot(ggplot(mpg, aes(x='cty', color='drv', fill='drv')) +
                    geom_density(aes(y=after_stat('count')), alpha=0.1) +
                    scale_color_discrete(guide=False) +
                    theme(axis_ticks_major_x=element_blank(),
                          axis_text_x =element_blank(),
                          axis_title_x=element_blank(),
                          axis_text_y =element_text(size=12),
                          axis_title_y=element_text(size=14),
                          legend_position="none"),
                    figsize=(4,1))

g2 = pw.load_ggplot(ggplot(mpg, aes(x='hwy', color='drv', fill='drv')) +
                    geom_density(aes(y=after_stat('count')), alpha=0.1) +
                    coord_flip() +
                    theme(axis_ticks_major_y=element_blank(),
                          axis_text_y =element_blank(),
                          axis_title_y=element_blank(),
                          axis_text_x =element_text(size=12),
                          axis_title_x=element_text(size=14)
                         ),
                    figsize=(1,4))

g3 = pw.load_ggplot(ggplot(mpg) +
                    geom_point(aes(x="cty", y="hwy", color="drv")) +
                    scale_color_discrete(guide=False) +
                    theme(axis_text =element_text(size=12),
                          axis_title=element_text(size=14)
                         ),
                    figsize=(4,4))

pw.param["margin"] = 0.2
(g1/(g3|g2)[g3]).savefig() #By specifying g3 in (g3|g2), g1 is positioned exactly on g3. 

If you face any problems, please let me know by creating issues on Github of patchworklib.