Bump Chart#
This example shows a bump chart. The data is first grouped into six-month intervals using pandas. The ranks are computed by Altair using a window transform.
import altair as alt
from vega_datasets import data
import pandas as pd
stocks = data.stocks()
source = stocks.groupby([pd.Grouper(key="date", freq="6M"),"symbol"]).mean().reset_index()
alt.Chart(source).mark_line(point = True).encode(
x = alt.X("date:O", timeUnit="yearmonth", title="date"),
y="rank:O",
color=alt.Color("symbol:N")
).transform_window(
rank="rank()",
sort=[alt.SortField("price", order="descending")],
groupby=["date"]
).properties(
title="Bump Chart for Stock Prices",
width=600,
height=150,
)