Basic charts
Contents
Basic charts#
Documentation:
https://plotly.com/python/basic-charts/
import plotly.express as px
Scatter plot#
Use gapminder data.
just_2002_filter = ( px.data.gapminder()['year']==2002 )
just_2002 = px.data.gapminder()[just_2002_filter]
just_2002.head()
country | continent | year | lifeExp | pop | gdpPercap | iso_alpha | iso_num | |
---|---|---|---|---|---|---|---|---|
10 | Afghanistan | Asia | 2002 | 42.129 | 25268405 | 726.734055 | AFG | 4 |
22 | Albania | Europe | 2002 | 75.651 | 3508512 | 4604.211737 | ALB | 8 |
34 | Algeria | Africa | 2002 | 70.994 | 31287142 | 5288.040382 | DZA | 12 |
46 | Angola | Africa | 2002 | 41.003 | 10866106 | 2773.287312 | AGO | 24 |
58 | Argentina | Americas | 2002 | 74.340 | 38331121 | 8797.640716 | ARG | 32 |
Look at the relationship between GDP per capita and life expectancy in 2002.
scatter_2002 = px.scatter(
data_frame=just_2002,
x='gdpPercap',
y='lifeExp',
)
scatter_2002