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43 lines
1.6 KiB
Python
43 lines
1.6 KiB
Python
"""
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Window Rank Line Chart
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----------------------
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This example shows the Group F rankings in the 2018 World Cup after each matchday.
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A window transformation is used to rank each after each match day, sorting by points and difference.
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"""
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# category: case studies
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import altair as alt
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import pandas as pd
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source = pd.DataFrame(
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[
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{"team": "Germany", "matchday": 1, "point": 0, "diff": -1},
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{"team": "Germany", "matchday": 2, "point": 3, "diff": 0},
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{"team": "Germany", "matchday": 3, "point": 3, "diff": -2},
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{"team": "Mexico", "matchday": 1, "point": 3, "diff": 1},
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{"team": "Mexico", "matchday": 2, "point": 6, "diff": 2},
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{"team": "Mexico", "matchday": 3, "point": 6, "diff": -1},
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{"team": "South Korea", "matchday": 1, "point": 0, "diff": -1},
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{"team": "South Korea", "matchday": 2, "point": 0, "diff": -2},
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{"team": "South Korea", "matchday": 3, "point": 3, "diff": 0},
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{"team": "Sweden", "matchday": 1, "point": 3, "diff": 1},
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{"team": "Sweden", "matchday": 2, "point": 3, "diff": 0},
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{"team": "Sweden", "matchday": 3, "point": 6, "diff": 3},
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]
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)
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color_scale = alt.Scale(
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domain=["Germany", "Mexico", "South Korea", "Sweden"],
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range=["#000000", "#127153", "#C91A3C", "#0C71AB"],
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)
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alt.Chart(source).mark_line().encode(
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x="matchday:O", y="rank:O", color=alt.Color("team:N", scale=color_scale)
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).transform_window(
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rank="rank()",
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sort=[
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alt.SortField("point", order="descending"),
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alt.SortField("diff", order="descending"),
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],
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groupby=["matchday"],
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).properties(title="World Cup 2018: Group F Rankings")
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