ggplot_plots.py

#!/usr/bin/env python3
from ggplot import *
"""
print(mtcars.head())
plt1 = ggplot(aes(x='mpg'), data=mtcars) +\
 		geom_histogram(fill='darkblue', binwidth=2) +\
		xlim(10, 35) + ylim(0, 10) +\
		xlab("MPG") + ylab("Frequency") +\
		ggtitle("Histogram of MPG") +\
		theme_matplotlib()
print(plt1)

print(meat.head())
plt2 = ggplot(aes(x='date', y='beef'), data=meat) +\
		geom_line(color='purple', size=1.5, alpha=0.75) +\
		stat_smooth(colour='blue', size=2.0, span=0.15) +\
		xlab("Year") + ylab("Head of Cattle Slaughtered") +\
		ggtitle("Beef Consumption Over Time") +\
		theme_seaborn()
print(plt2)
"""
print(diamonds.head())
plt3 = ggplot(diamonds, aes(x='carat', y='price', colour='cut')) +\
		geom_point(alpha=0.5) +\
		scale_color_gradient(low='#05D9F6', high='#5011D1') +\
		xlim(0, 6) + ylim(0, 20000) +\
		xlab("Carat") + ylab("Price") +\
		ggtitle("Diamond Price by Carat and Cut") +\
		theme_gray()
print(plt3)

ggsave(plt3, "ggplot_plots.png")