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In [1]:
import pandas as pd

from lets_plot import *
LetsPlot.setup_html()
In [2]:
mpg = pd.read_csv ("https://raw.githubusercontent.com/JetBrains/lets-plot-docs/master/data/mpg.csv")
mpg
Out[2]:
Unnamed: 0 manufacturer model displ year cyl trans drv cty hwy fl class
0 1 audi a4 1.8 1999 4 auto(l5) f 18 29 p compact
1 2 audi a4 1.8 1999 4 manual(m5) f 21 29 p compact
2 3 audi a4 2.0 2008 4 manual(m6) f 20 31 p compact
3 4 audi a4 2.0 2008 4 auto(av) f 21 30 p compact
4 5 audi a4 2.8 1999 6 auto(l5) f 16 26 p compact
... ... ... ... ... ... ... ... ... ... ... ... ...
229 230 volkswagen passat 2.0 2008 4 auto(s6) f 19 28 p midsize
230 231 volkswagen passat 2.0 2008 4 manual(m6) f 21 29 p midsize
231 232 volkswagen passat 2.8 1999 6 auto(l5) f 16 26 p midsize
232 233 volkswagen passat 2.8 1999 6 manual(m5) f 18 26 p midsize
233 234 volkswagen passat 3.6 2008 6 auto(s6) f 17 26 p midsize

234 rows × 12 columns

In [3]:
p = ggplot(mpg) + geom_point(aes('displ', 'hwy', color = 'drv'))
p
Out[3]:
In [4]:
p + ggtitle("The plot title using 'ggtitle()'")
Out[4]:
In [5]:
p + labs(title = "The plot title using 'labs()'")
Out[5]:
In [6]:
# Add subtitle using ggtitle()

p + ggtitle("The plot title", subtitle = "The plot subtitle")
Out[6]:
In [7]:
#  Add subtitle using labs()

p + labs(title = "The plot title", subtitle = "The plot subtitle")
Out[7]:
In [8]:
#  Add caption

p2 = p + labs(title = "The plot title", subtitle = "The plot subtitle", caption = "The plot caption")
p2
Out[8]:
In [9]:
# Add color for title

# 'title' applies to plot's title, subtitle, caption
p2 + theme(title=element_text(color='blue'))
Out[9]:
In [10]:
# 'plot_title' will also apply to the subtitle
p2 + theme(plot_title=element_text(color='blue'))
Out[10]:
In [11]:
# Set own colors
p2 + theme(
    plot_title=element_text(color='blue'), 
    plot_subtitle=element_text(color='red'),
    plot_caption=element_text(color='dark_green'))
Out[11]:
In [12]:
# Multiple lines - using `\n`

p + labs(
        title = "The plot title:\nFuel efficiency for most popular models of car", 
        subtitle = "The plot subtitle:\nPoints are colored by the type of drive train",
        caption = "The plot caption:\nmpg dataset"
    ) + theme(plot_subtitle=element_text(color='gray'), plot_caption=element_text(color='light_gray'))
Out[12]:
In [13]:
# Legend title

p1 = ggplot(mpg) + geom_point(aes('displ', 'hwy', color = 'cty', shape='drv'), size=4) 
p1 + labs(color='City mileage', shape='Drive type')
Out[13]:
In [14]:
# Change legend position

p1 + labs(color='City mileage', shape='Drive type') + theme(legend_position='bottom')
Out[14]:
In [15]:
# Use multiple lines in legend titles

p1 + labs(color='City mileage\n(mpg)', 
          shape='Drive type\n(front/4/rear wheel)')
Out[15]:
In [16]:
p1 + theme(legend_position='bottom') \
   + labs(color='City mileage\n(mpg)', 
          shape='Drive type\n(front/4/rear wheel)')
Out[16]:
In [17]:
p1 + theme(legend_position='bottom') \
   + labs(color='City mileage\n(mpg)', 
          shape='Drive type\n(front/4/rear wheel)') \
   + scale_shape(guide=guide_legend(nrow=3))
Out[17]: