[英]How to increse label spacing and tick spacing in case of multiple y-axis in altair?
我正在尝试增加绘图的易读性,因为 y 轴标签(左侧)已经重叠并调整它们之间的刻度范围和间隔。请帮助我这样做多轴组合图
import altair as alt
from vega_datasets import data
source = data.seattle_weather()
base = alt.Chart(source).encode( alt.X('month(date):T', axis=alt.Axis(title=None)))
area = base.mark_area(opacity=0.3, color='#57A44C').encode(
alt.Y('average(temp_max)',
axis=alt.Axis(title='Avg. Temperature (°C)', titleColor='#57A44C')),
alt.Y2('average(temp_min)'))
line = base.mark_line(stroke='#5276A7', interpolate='monotone').encode(
alt.Y('average(precipitation)',
axis=alt.Axis(title='Precipitation (inches)', titleColor='#5276A7')))
line2 = base.mark_line(stroke='#5276A7', interpolate='monotone').encode(
alt.Y('average(wind)',
axis=alt.Axis(title='wind', titleColor='#5276A7')))
alt.layer(area, line,line2).resolve_scale(y = 'independent').configure_axisY()
在技术上可以使用offset
参数移动第三个 y 轴:
import altair as alt
from vega_datasets import data
source = data.seattle_weather()
base = alt.Chart(source).encode( alt.X('month(date):T', axis=alt.Axis(title=None)))
area = base.mark_area(opacity=0.3, color='#57A44C').encode(
alt.Y('average(temp_max)',
axis=alt.Axis(title='Avg. Temperature (°C)', titleColor='#57A44C')),
alt.Y2('average(temp_min)'))
line = base.mark_line(stroke='#5276A7', interpolate='monotone').encode(
alt.Y('average(precipitation)',
axis=alt.Axis(title='Precipitation (inches)', titleColor='#5276A7')))
line2 = base.mark_line(stroke='coral', interpolate='monotone').encode(
alt.Y('average(wind)',
axis=alt.Axis(title='wind', titleColor='coral', offset=60)))
alt.layer(area, line,line2).resolve_scale(y = 'independent').configure_axisY()
但是,我会考虑制作单独的图,因为阅读具有多个 y 轴的图表可能会变得困难。 如果垂直堆叠图,仍然很容易比较三种不同测量值的趋势:
base = alt.Chart(source, height=150).encode(alt.X('month(date):T', axis=None))
area = base.mark_area(opacity=0.3, color='#57A44C').encode(
alt.Y('average(temp_max)',
axis=alt.Axis(title='Avg. Temperature (°C)', titleColor='#57A44C')),
alt.Y2('average(temp_min)'))
line = base.mark_line(stroke='#5276A7', interpolate='monotone').encode(
alt.Y('average(precipitation)',
axis=alt.Axis(title='Precipitation (inches)', titleColor='#5276A7')))
line2 = base.mark_line(stroke='coral', interpolate='monotone').encode(
alt.Y('average(wind)',
axis=alt.Axis(title='wind', titleColor='coral')),
alt.X('month(date):T')
)
alt.vconcat(area, line, line2, spacing=0).resolve_scale(x='shared')
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