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