Altair：将串联图表中的配色方案分开

Question

对于下面的示例，我想使用绿色配色方案来导出，红色来导入。当我单独创建图表时，一切都很好，它们得到了我分配给它们的配色方案。然而，当我连接图表时，他们都得到了红色方案。

import pandas as pd
fruits = ['Apples', 'Pears', 'Nectarines', 'Plums', 'Grapes', 'Strawberries']
years = ["2015", "2016", "2017"]

exports = {'fruits' : fruits,
           '2015'   : [2, 1, 4, 3, 2, 4],
           '2016'   : [5, 3, 4, 2, 4, 6],
           '2017'   : [3, 2, 4, 4, 5, 3]}
imports = {'fruits' : fruits,
           '2015'   : [-1, 0, -1, -3, -2, -1],
           '2016'   : [-2, -1, -3, -1, -2, -2],
           '2017'   : [-1, -2, -1, 0, -2, -2]}

df_exp = pd.DataFrame(exports)
df_imp = pd.DataFrame(imports)

import altair as alt

cols_year_imp = df_imp.columns[1:]
cols_year_exp = df_exp.columns[1:]

imp = alt.Chart(df_imp).transform_fold(
    list(cols_year_imp)
).mark_bar(
    tooltip=True
).encode(
    x='value:Q',
    y='fruits:N',
    color=alt.Color('key:O', scale=alt.Scale(scheme='reds'))
)

exp = alt.Chart(df_exp).transform_fold(
    list(cols_year_exp)
).mark_bar(
    tooltip=True
).encode(
    x=alt.X('value:Q',title="Export"),
    y='fruits:N',
    color=alt.Color('key:O', scale=alt.Scale(scheme='greens', reverse=True)),
    order=alt.Order('key:O', sort='ascending')
)

# imp | exp
imp
exp
alt.hconcat(imp, exp)

输出：https://i.stack.imgur.com/jFvu6.png

Answer 1

您可以在连接图上使用resolve_scale：

alt.hconcat(imp, exp).resolve_scale(color='independent')

Altair：将串联图表中的配色方案分开

Altair: Separate the color schemes in concatenated charts

python

altair

vega-lite