I'm trying to figure out how to change the colors that ggplot produces on my plot. In label, I have 4 categories - 0, 1, 2, 3. Currently ggplot colors these as purple, green, and red, but I would like to change it to shades of blue, with the exception of 0. To clarify, if for that point, the label in my pandas data frame is a 0, then I want it to just be a gray colored point, if it's labeled 1, a light blue, if it's 2, normal shade of blue, and if it's 3 , then a dark blue.
(In case you're wondering why it only uses red, green, and purple, is because for my current data set, there are no points with the label 2).
So far this is what I have:
gg = ggplot(aes('index', 'clicks', color = 'label'), data=xy_data) + \
geom_point() +\
xlab("Date") + ylab("Total clicks")
print gg
What needs to be changed?
You could use the scale_fill_brewer function:
gg = ggplot(aes('index', 'clicks', color = 'label'), data=xy_data) + \
geom_point() +\
ggplot.scale_fill_brewer() +\
xlab("Date") + ylab("Total clicks")
print gg
By default scale_fill_brewer() displays different shades of blue but you can use different shades too by using palette argument inside scale_fill_brewer().