Altair 4.2

import altair as alt from vega_datasets import data alt.__version__ '4.2.0rc1'

import pandas as pd import altair as alt source = pd.DataFrame({"values": [12, 23, 47, 6, 52, 19]}) base = alt.Chart(source).encode( theta=alt.Theta("values:Q", stack=True), radius=alt.Radius("values", scale=alt.Scale(type="sqrt", zero=True, rangeMin=20)), color="values:N", ) c1 = base.mark_arc(innerRadius=20, stroke="#fff") c2 = base.mark_text(radiusOffset=10).encode(text="values:Q") c1 + c2

source = data.stocks() lines = ( alt.Chart(source) .mark_line() .encode(x="date", y="price", color="symbol") ) xrule = ( alt.Chart() .mark_rule(strokeDash=[12, 6], size=2) .encode(x=alt.datum(alt.DateTime(year=2006, month="November"))) ) yrule = ( alt.Chart().mark_rule(strokeDash=[12, 6], size=2).encode(y=alt.datum(350)) ) lines + yrule + xrule

source = data.windvectors() alt.Chart(source).mark_point(shape="wedge", filled=True).encode( latitude="latitude", longitude="longitude", color=alt.Color( "dir", scale=alt.Scale(domain=[0, 360], scheme="rainbow"), legend=None ), angle=alt.Angle("dir", scale=alt.Scale(domain=[0, 360], range=[180, 540])), size=alt.Size("speed", scale=alt.Scale(rangeMax=500)), ).project("equalEarth")