Визуализация Isotype с эмодзи
Визуализация Isotype показывает распределение животных в Великобритании и США. Вместо пользовательских контуров SVG, как в обычном примере Isotype, используются символы эмодзи Unicode. Пример адаптирован из диаграммы Vega-Lite.
import altair as alt
import pandas as pd
source = pd.DataFrame([
{'country': 'Great Britain', 'animal': 'cattle'},
{'country': 'Great Britain', 'animal': 'cattle'},
{'country': 'Great Britain', 'animal': 'cattle'},
{'country': 'Great Britain', 'animal': 'pigs'},
{'country': 'Great Britain', 'animal': 'pigs'},
{'country': 'Great Britain', 'animal': 'sheep'},
{'country': 'Great Britain', 'animal': 'sheep'},
{'country': 'Great Britain', 'animal': 'sheep'},
{'country': 'Great Britain', 'animal': 'sheep'},
{'country': 'Great Britain', 'animal': 'sheep'},
{'country': 'Great Britain', 'animal': 'sheep'},
{'country': 'Great Britain', 'animal': 'sheep'},
{'country': 'Great Britain', 'animal': 'sheep'},
{'country': 'Great Britain', 'animal': 'sheep'},
{'country': 'Great Britain', 'animal': 'sheep'},
{'country': 'United States', 'animal': 'cattle'},
{'country': 'United States', 'animal': 'cattle'},
{'country': 'United States', 'animal': 'cattle'},
{'country': 'United States', 'animal': 'cattle'},
{'country': 'United States', 'animal': 'cattle'},
{'country': 'United States', 'animal': 'cattle'},
{'country': 'United States', 'animal': 'cattle'},
{'country': 'United States', 'animal': 'cattle'},
{'country': 'United States', 'animal': 'cattle'},
{'country': 'United States', 'animal': 'pigs'},
{'country': 'United States', 'animal': 'pigs'},
{'country': 'United States', 'animal': 'pigs'},
{'country': 'United States', 'animal': 'pigs'},
{'country': 'United States', 'animal': 'pigs'},
{'country': 'United States', 'animal': 'pigs'},
{'country': 'United States', 'animal': 'sheep'},
{'country': 'United States', 'animal': 'sheep'},
{'country': 'United States', 'animal': 'sheep'},
{'country': 'United States', 'animal': 'sheep'},
{'country': 'United States', 'animal': 'sheep'},
{'country': 'United States', 'animal': 'sheep'},
{'country': 'United States', 'animal': 'sheep'}
])
alt.Chart(source).mark_text(size=45, baseline='middle').encode(
alt.X('x:O').axis(None),
alt.Y('animal:O').axis(None),
alt.Row('country:N').title(''),
alt.Text('emoji:N')
).transform_calculate(
emoji="{'cattle': '🐄', 'pigs': '🐖', 'sheep': '🐏'}[datum.animal]"
).transform_window(
x='rank()',
groupby=['country', 'animal']
).properties(
width=550,
height=140
)
import altair as alt
import pandas as pd
source = pd.DataFrame([
{'country': 'Great Britain', 'animal': 'cattle'},
{'country': 'Great Britain', 'animal': 'cattle'},
{'country': 'Great Britain', 'animal': 'cattle'},
{'country': 'Great Britain', 'animal': 'pigs'},
{'country': 'Great Britain', 'animal': 'pigs'},
{'country': 'Great Britain', 'animal': 'sheep'},
{'country': 'Great Britain', 'animal': 'sheep'},
{'country': 'Great Britain', 'animal': 'sheep'},
{'country': 'Great Britain', 'animal': 'sheep'},
{'country': 'Great Britain', 'animal': 'sheep'},
{'country': 'Great Britain', 'animal': 'sheep'},
{'country': 'Great Britain', 'animal': 'sheep'},
{'country': 'Great Britain', 'animal': 'sheep'},
{'country': 'Great Britain', 'animal': 'sheep'},
{'country': 'Great Britain', 'animal': 'sheep'},
{'country': 'United States', 'animal': 'cattle'},
{'country': 'United States', 'animal': 'cattle'},
{'country': 'United States', 'animal': 'cattle'},
{'country': 'United States', 'animal': 'cattle'},
{'country': 'United States', 'animal': 'cattle'},
{'country': 'United States', 'animal': 'cattle'},
{'country': 'United States', 'animal': 'cattle'},
{'country': 'United States', 'animal': 'cattle'},
{'country': 'United States', 'animal': 'cattle'},
{'country': 'United States', 'animal': 'pigs'},
{'country': 'United States', 'animal': 'pigs'},
{'country': 'United States', 'animal': 'pigs'},
{'country': 'United States', 'animal': 'pigs'},
{'country': 'United States', 'animal': 'pigs'},
{'country': 'United States', 'animal': 'pigs'},
{'country': 'United States', 'animal': 'sheep'},
{'country': 'United States', 'animal': 'sheep'},
{'country': 'United States', 'animal': 'sheep'},
{'country': 'United States', 'animal': 'sheep'},
{'country': 'United States', 'animal': 'sheep'},
{'country': 'United States', 'animal': 'sheep'},
{'country': 'United States', 'animal': 'sheep'}
])
alt.Chart(source).mark_text(size=45, baseline='middle').encode(
alt.X('x:O', axis=None),
alt.Y('animal:O', axis=None),
alt.Row('country:N', header=alt.Header(title='')),
alt.Text('emoji:N')
).transform_calculate(
emoji="{'cattle': '🐄', 'pigs': '🐖', 'sheep': '🐏'}[datum.animal]"
).transform_window(
x='rank()',
groupby=['country', 'animal']
).properties(width=550, height=140)
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