I have a dataframe with multiple type-value pairs. Lets say it is:
dt = pd.DataFrame({'date': ['2022', '2023', '2024'], type':['t1', 't2', 't3'], 'value': [1, 2, 3]})
of cause, with much more data inside the dataframe. Standard way to show all 3 graphs would be:
fig = alt.Chart(source).mark_line().encode(
x=alt.X('date:T'),
y=alt.Y('value:Q'),
color=alt.Color('type:N')
it will show 3 lines of different types. What if I would like to show only 2 or only 1 type on the graph? I tried to set y axis as
y = alt.Y(['type1', 'type2'])
I suppose, it should be differently setup as that way is wrong. Is it a solution alternative to filtering the dataframe as source of data?
You could use transform_filter to filter the data in the chart rather than the dataframe ahead of time:
import altair as alt
from altair import datum
from vega_datasets import data
pop = data.population.url
alt.Chart(pop).mark_area().encode(
x='age:O',
y='people:Q',
).transform_filter(
(datum.year == 2000) & (datum.sex == 1)
)
Setting the domain of the color encoding to only include the options you want might also work.