Quick plots with plotly express: Example Notebook

import pandas as pd

# Set default template
import plotly.io as pio

pio.templates.default = "plotly_dark"

# Use plot methods on DataFrame directly
pd.options.plotting.backend = "plotly"
# High-level approach
import plotly.express as px

Get life expectancy by country, continent, and year

all_countries = (
    px.data.gapminder()[["country", "continent", "year", "lifeExp"]]
    .rename(columns={"lifeExp": "life_expectancy"})
    .query("continent in ['Europe', 'Americas']")
)
all_countries

	country	continent	year	life_expectancy
12	Albania	Europe	1952	55.230
13	Albania	Europe	1957	59.280
14	Albania	Europe	1962	64.820
15	Albania	Europe	1967	66.220
16	Albania	Europe	1972	67.690
...	...	...	...	...
1639	Venezuela	Americas	1987	70.190
1640	Venezuela	Americas	1992	71.150
1641	Venezuela	Americas	1997	72.146
1642	Venezuela	Americas	2002	72.766
1643	Venezuela	Americas	2007	73.747

660 rows × 4 columns

Plot entire data from Pandas

all_countries.plot(
    x="year",
    y="life_expectancy",
    color="country",
)

Plot entire data using plotly.express

px.line(
    all_countries,
    x="year",
    y="life_expectancy",
    color="country",
)