In [1]:

hidden

import pandas as pd
from plotnine import *

df = pd.read_csv('countries.csv')
df.head(2)
import pandas as pd
from plotnine import *

df = pd.read_csv('countries.csv')
df.head(2)

Out[1]:

	country	continent	gdp_per_capita	life_expectancy	population
0	Afghanistan	Asia	663	54.863	22856302
1	Albania	Europe	4195	74.200	3071856

Changing fonts on plotnine graphics¶

To change fonts, you typically need to add in a theme. Depending on which fonts you want to change – header, axes, ticks, annotations, etc – you'll want to set different options for the theme.

Change the font of all of the text¶

To change every single text element on the graphic, you'll pass the theme text=element_text(family='Your Font Name'), where family= the name of the font.

In [2]:

(
    ggplot(df)
    + aes(x='gdp_per_capita', y='life_expectancy')
    + geom_point()
    + labs(title="Life Expectancy vs GDP (per capita)")
    + theme(text=element_text(family='Frutiger Bold'))
)
(
    ggplot(df)
    + aes(x='gdp_per_capita', y='life_expectancy')
    + geom_point()
    + labs(title="Life Expectancy vs GDP (per capita)")
    + theme(text=element_text(family='Frutiger Bold'))
)

Out[2]:

<ggplot: (322121262)>

If you can't get it to work, check how to get a list of fonts – maybe plotnine knows it by a weird name! There's a link to the left on how to do this.

Changing the font of the title¶

In [19]:

(
    ggplot(df)
    + aes(x='gdp_per_capita', y='life_expectancy')
    + geom_point()
    + labs(title="Life Expectancy vs GDP (per capita)")
    + theme(plot_title=element_text(family='Frutiger Bold'))
)
(
    ggplot(df)
    + aes(x='gdp_per_capita', y='life_expectancy')
    + geom_point()
    + labs(title="Life Expectancy vs GDP (per capita)")
    + theme(plot_title=element_text(family='Frutiger Bold'))
)

Out[19]:

<ggplot: (325084802)>

Changing the font of the labels¶

In [25]:

(
    ggplot(df)
    + aes(x='gdp_per_capita', y='life_expectancy')
    + geom_point()
    + labs(title="Life Expectancy vs GDP (per capita)")
    + theme(axis_title=element_text(family='Rockwell'))
)
(
    ggplot(df)
    + aes(x='gdp_per_capita', y='life_expectancy')
    + geom_point()
    + labs(title="Life Expectancy vs GDP (per capita)")
    + theme(axis_title=element_text(family='Rockwell'))
)

Out[25]:

<ggplot: (325203460)>

Changing the font of annotations¶

When you change the font of an annotation, you don't use theme like you do for most everything else. Instead you'll use family= inside of geom_text or geom_label.

In [77]:

import matplotlib.patheffects as path_effects

labeled = df[df.country.isin(['New Zealand', 'Samoa'])]

(
    ggplot(df)
    + aes(x='gdp_per_capita', y='life_expectancy', label='country')
    + geom_point(color='grey')
    + geom_point(labeled, color='red')
    + geom_text(labeled,
                family='Rockwell',
                ha='left',
                color='white',
                nudge_x=1000,
                path_effects=[
                    path_effects.Stroke(linewidth=2, foreground='black'),
                    path_effects.Normal()
                ])
    + labs(title="Life Expectancy vs GDP (per capita)")
)
import matplotlib.patheffects as path_effects

labeled = df[df.country.isin(['New Zealand', 'Samoa'])]

(
    ggplot(df)
    + aes(x='gdp_per_capita', y='life_expectancy', label='country')
    + geom_point(color='grey')
    + geom_point(labeled, color='red')
    + geom_text(labeled,
                family='Rockwell',
                ha='left',
                color='white',
                nudge_x=1000,
                path_effects=[
                    path_effects.Stroke(linewidth=2, foreground='black'),
                    path_effects.Normal()
                ])
    + labs(title="Life Expectancy vs GDP (per capita)")
)

Out[77]:

<ggplot: (325957690)>

In [ ]: