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layer then facet

See original GitHub issue

Hi Jake,

I followed your instructions here and got really close.

If you look at my example below, do you know a way to get the text marks to show the overall count on the x axis rather than for each colored segment? I’m sure I’m missing something obvious. visualization 18

import altair as alt
import pandas as pd

df=pd.DataFrame({'gender': ['male', 'male', 'male', 'female', 'female', 'other', 'other', 'female', 'female', 'female', 'male', 'male', 'female',  'other', 'other', 'female', 'male', 'male'], 
                 'grade': ['9-10', '11-12', '11-12', '9-10', '11-12', '9-10', '9-10', '9-10', '11-12', '11-12', '9-10', '11-12', '9-10', '9-10', '9-10', '9-10', '11-12', '11-12'], 
                 'like_school': ['yes', 'no', 'yes', 'neutral', 'neutral', 'no', 'yes', 'no', 'neutral', 'no', 'yes', 'no', 'yes', 'yes', 'neutral', 'neutral', 'no', 'yes']})

bars=alt.Chart().mark_bar().encode(
    y='like_school',
    x='count()',
    color='gender',
    tooltip=[alt.Tooltip('count()', title='number of records')]
).properties(
    width=180,
    height=180
)

text=bars.mark_text(color='black').encode(
    text='count()',
).properties(
    width=180,
    height=180
)

alt.layer(bars, text, data=df).facet(
    column='grade:N'  
)#.resolve_scale(color='independent')

Issue Analytics

State:
Created 5 years ago
Comments:6 (3 by maintainers)

Top GitHub Comments

1reaction

Alcampopianocommented, Sep 6, 2018

Okay, I was looking for this:

Which is possible using the code above only if you define each chart separately. Sorry if I was not clear about what I was trying to accomplish.

df=pd.DataFrame({'gender': ['male', 'male', 'male', 'female', 'female', 'other', 'other', 'female', 'female', 'female', 'male', 'male', 'female',  'other', 'other', 'female', 'male', 'male'], 
                 'grade': ['9-10', '11-12', '11-12', '9-10', '11-12', '9-10', '9-10', '9-10', '11-12', '11-12', '9-10', '11-12', '9-10', '9-10', '9-10', '9-10', '11-12', '11-12'], 
                 'like_school': ['yes', 'no', 'yes', 'neutral', 'neutral', 'no', 'yes', 'no', 'neutral', 'no', 'yes', 'no', 'yes', 'yes', 'neutral', 'neutral', 'no', 'yes']})

bars=alt.Chart().mark_bar().encode(
    y='like_school',
    x='count()',
    color='gender',
    tooltip=[alt.Tooltip('count()', title='number of records')]
).properties(
    width=180,
    height=180
)

text=alt.Chart().mark_text(dx=10).encode(
    text='count()',
    y='like_school',
    x='count()',
).properties(
    width=180,
    height=180
)

alt.layer(bars, text, data=df).facet(
    column='grade:N'  
)

0reactions

Alcampopianocommented, Sep 6, 2018

Apologies for the confusion and thanks for the help.