using ggplot2 in python

ggplot2 in python

from rpy2.robjects.packages import importr
import rpy2.robjects.lib.ggplot2 as ggplot2 # don't use importr cause the ggplot2 here has the .plot() function

grdevices = importr('grDevices')
cowplot = importr('cowplot') #cause i love cowplot
rfeather = importr("feather", on_conflict="warn")

# Out[57]:
#    country     variable      value
# 0       H  random  15.872105
# 1       J  random  24.370636
# 2       M  random   1.015055
# 3       P  random  11.118215
# 4       S  random   0.885525
# 5       T  random   0.882241
# 6       T  random   1.093211
# 7       H     svd  11.544371
# 8       J     svd   0.647587
# 9       M     svd   0.706966
# 10      P     svd   7.971626
# 11      S     svd   0.569839
# 12      T     svd   0.588953
# 13      T     svd   0.802850
write_dataframe(rmseDF, "temp.feather")
rmseDF_r = rfeather.read_feather("temp.feather")

grdevices.pdf(file="histo.pdf", width=10, height=10)
pp = ggplot2.ggplot(rmseDF_r) + \
    ggplot2.aes_string(x='variable', y='value', fill='variable') +  \
    ggplot2.geom_histogram(stat="identity") + \
    ggplot2.facet_wrap("country", scale="free") + \
    ggplot2.theme_cowplot()
pp.plot()
grdevices.dev_off()

pandas2ri.py2ri function converts the types weirdly, recommended to use feather.
dun using importr("ggplot2") the the pp.plot() function is in the ggplot2 object. (but its a wrapper written by the rpy2 guys)