:orphan: :html_theme.sidebar_secondary.remove: .. This document is auto-generated by the altair-gallery extension. Do not modify directly. .. _gallery_window_rank: Window Rank Line Chart ---------------------- This example shows the Group F rankings in the 2018 World Cup after each matchday. A window transformation is used to rank each after each match day, sorting by points and difference. .. altair-plot:: :remove-code: import altair as alt import pandas as pd source = pd.DataFrame( [ {"team": "Germany", "matchday": 1, "point": 0, "diff": -1}, {"team": "Germany", "matchday": 2, "point": 3, "diff": 0}, {"team": "Germany", "matchday": 3, "point": 3, "diff": -2}, {"team": "Mexico", "matchday": 1, "point": 3, "diff": 1}, {"team": "Mexico", "matchday": 2, "point": 6, "diff": 2}, {"team": "Mexico", "matchday": 3, "point": 6, "diff": -1}, {"team": "South Korea", "matchday": 1, "point": 0, "diff": -1}, {"team": "South Korea", "matchday": 2, "point": 0, "diff": -2}, {"team": "South Korea", "matchday": 3, "point": 3, "diff": 0}, {"team": "Sweden", "matchday": 1, "point": 3, "diff": 1}, {"team": "Sweden", "matchday": 2, "point": 3, "diff": 0}, {"team": "Sweden", "matchday": 3, "point": 6, "diff": 3}, ] ) color_scale = alt.Scale( domain=["Germany", "Mexico", "South Korea", "Sweden"], range=["#000000", "#127153", "#C91A3C", "#0C71AB"], ) alt.Chart(source).mark_line().encode( x="matchday:O", y="rank:O", color=alt.Color("team:N", scale=color_scale) ).transform_window( rank="rank()", sort=[ alt.SortField("point", order="descending"), alt.SortField("diff", order="descending"), ], groupby=["matchday"], ).properties(title="World Cup 2018: Group F Rankings") .. tab-set:: .. tab-item:: Method syntax :sync: method .. code:: python import altair as alt import pandas as pd source = pd.DataFrame( [ {"team": "Germany", "matchday": 1, "point": 0, "diff": -1}, {"team": "Germany", "matchday": 2, "point": 3, "diff": 0}, {"team": "Germany", "matchday": 3, "point": 3, "diff": -2}, {"team": "Mexico", "matchday": 1, "point": 3, "diff": 1}, {"team": "Mexico", "matchday": 2, "point": 6, "diff": 2}, {"team": "Mexico", "matchday": 3, "point": 6, "diff": -1}, {"team": "South Korea", "matchday": 1, "point": 0, "diff": -1}, {"team": "South Korea", "matchday": 2, "point": 0, "diff": -2}, {"team": "South Korea", "matchday": 3, "point": 3, "diff": 0}, {"team": "Sweden", "matchday": 1, "point": 3, "diff": 1}, {"team": "Sweden", "matchday": 2, "point": 3, "diff": 0}, {"team": "Sweden", "matchday": 3, "point": 6, "diff": 3}, ] ) color_scale = alt.Scale( domain=["Germany", "Mexico", "South Korea", "Sweden"], range=["#000000", "#127153", "#C91A3C", "#0C71AB"], ) alt.Chart(source).mark_line().encode( x="matchday:O", y="rank:O", color=alt.Color("team:N").scale(color_scale) ).transform_window( rank="rank()", sort=[ alt.SortField("point", order="descending"), alt.SortField("diff", order="descending"), ], groupby=["matchday"], ).properties(title="World Cup 2018: Group F Rankings") .. tab-item:: Attribute syntax :sync: attribute .. code:: python import altair as alt import pandas as pd source = pd.DataFrame( [ {"team": "Germany", "matchday": 1, "point": 0, "diff": -1}, {"team": "Germany", "matchday": 2, "point": 3, "diff": 0}, {"team": "Germany", "matchday": 3, "point": 3, "diff": -2}, {"team": "Mexico", "matchday": 1, "point": 3, "diff": 1}, {"team": "Mexico", "matchday": 2, "point": 6, "diff": 2}, {"team": "Mexico", "matchday": 3, "point": 6, "diff": -1}, {"team": "South Korea", "matchday": 1, "point": 0, "diff": -1}, {"team": "South Korea", "matchday": 2, "point": 0, "diff": -2}, {"team": "South Korea", "matchday": 3, "point": 3, "diff": 0}, {"team": "Sweden", "matchday": 1, "point": 3, "diff": 1}, {"team": "Sweden", "matchday": 2, "point": 3, "diff": 0}, {"team": "Sweden", "matchday": 3, "point": 6, "diff": 3}, ] ) color_scale = alt.Scale( domain=["Germany", "Mexico", "South Korea", "Sweden"], range=["#000000", "#127153", "#C91A3C", "#0C71AB"], ) alt.Chart(source).mark_line().encode( x="matchday:O", y="rank:O", color=alt.Color("team:N", scale=color_scale) ).transform_window( rank="rank()", sort=[ alt.SortField("point", order="descending"), alt.SortField("diff", order="descending"), ], groupby=["matchday"], ).properties(title="World Cup 2018: Group F Rankings")