在Python中调用ggplot的三种方法

from rpy2 import robjects
from rpy2.robjects import Formula, Environment
from rpy2.robjects.vectors import IntVector, FloatVector
from rpy2.robjects.lib import grid
from rpy2.robjects.packages import importr, data
import rpy2.robjects.lib.ggplot2 as ggplot2
 
# The R 'print' function
rprint = robjects.globalenv.get("print")
stats = importr('stats')
grdevices = importr('grDevices')
base = importr('base')
datasets = importr('datasets')
 
mtcars = data(datasets).fetch('mtcars')['mtcars']
 
pp = ggplot2.ggplot(mtcars) + \
   ggplot2.aes_string(x='wt', y='mpg', col='factor(cyl)') + \
   ggplot2.geom_point() + \
   ggplot2.geom_smooth(ggplot2.aes_string(group = 'cyl'),
             method = 'lm')
pp.plot()

%matplotlib inline
 
import uuid
from rpy2.robjects.packages import importr 
from IPython.core.display import Image
 
grdevices = importr('grDevices')
def ggplot_notebook(gg, width = 800, height = 600):
  fn = '{uuid}.png'.format(uuid = uuid.uuid4())
  grdevices.png(fn, width = width, height = height)
  gg.plot()
  grdevices.dev_off()
  return Image(filename=fn)

%load_ext rmagic
library(ggplot2)
dat <- data.frame(x = rnorm(10), y = rnorm(10), 
         lab = sample(c('A', 'B'), 10, replace = TRUE))
x <- ggplot(dat, aes(x = x, y = y, color = lab)) + geom_point()
print(x)

pip install ggplot

%matplotlib inline
import pandas as pd
from ggplot import *
meat_lng = pd.melt(meat[['date', 'beef', 'pork', 'broilers']], id_vars='date')
ggplot(aes(x='date', y='value', colour='variable'), data=meat_lng) + \
  geom_point() + \
  stat_smooth(color='red')