import altair as alt
from vega_datasets import data
df = data.seattle_weather()
alt.Chart(df).mark_rect().encode(
alt.Y('month(date):O', title='day'),
alt.X('date(date):O', title='month'),
color='temp_max:Q'
).facet(
row='year(date):N',
)
- max
2个回答
2
2
一个通用的解决方案是使用header参数的labelOrient选项:
df = df[df.date.dt.year < 2014] # make a smaller chart
alt.Chart(df).mark_rect().encode(
alt.Y('month(date):O', title='day'),
alt.X('date(date):O', title='month'),
color='temp_max:Q'
).facet(
row=alt.Row('year(date):N', header=alt.Header(labelOrient='top'))
)
import altair as alt
from vega_datasets import data
df = data.seattle_weather()
alt.Chart(df).mark_rect().encode(
alt.Y('month(date):O', title='day'),
alt.X('date(date):O', title='month'),
color='temp_max:Q'
).facet('year(date):N', columns=1)