How to link two bar charts in altair?
I'm having trouble with a fairly simple interaction because I don't understand the language of altair very much.
Say I have a dataframe containing the state, county and population.
I want to create one bar chart showing states and their populations and another showing counties and their populations.
Clicking on a state populates the next bar chart with county names, and their populations. Clicking away from any state in the first chart empties out the county chart again.
Simple master/detail or context/focus pair of charts.
Additonally, I'm not clear how to debug this either. Is there a way to print the selected state to the console?
Here is some data I pulled from wikipedia (unable to share actual work data):
State,County,Land Area
California,Los Angeles, 10510
Illinois,Cook, 2448
Texas,Harris, 4412
Arizona,Maricopa, 23828
California,San Diego, 10895
California,Orange, 2048
Florida,Miami-Dade, 4915
New York,Kings, 183
Texas,Dallas, 2257
New York,Queens, 281
California,Riverside, 18665
California,San Bernardino, 51947
When I click on the bar representing California in the first chart, the second chart should populate with Los Angeles, San Diego, Orange, Riverside and San Bernadino. When I click on New York in the first chart, the second chart should populate with Kings and Queens.
vega altair
add a comment |
I'm having trouble with a fairly simple interaction because I don't understand the language of altair very much.
Say I have a dataframe containing the state, county and population.
I want to create one bar chart showing states and their populations and another showing counties and their populations.
Clicking on a state populates the next bar chart with county names, and their populations. Clicking away from any state in the first chart empties out the county chart again.
Simple master/detail or context/focus pair of charts.
Additonally, I'm not clear how to debug this either. Is there a way to print the selected state to the console?
Here is some data I pulled from wikipedia (unable to share actual work data):
State,County,Land Area
California,Los Angeles, 10510
Illinois,Cook, 2448
Texas,Harris, 4412
Arizona,Maricopa, 23828
California,San Diego, 10895
California,Orange, 2048
Florida,Miami-Dade, 4915
New York,Kings, 183
Texas,Dallas, 2257
New York,Queens, 281
California,Riverside, 18665
California,San Bernardino, 51947
When I click on the bar representing California in the first chart, the second chart should populate with Los Angeles, San Diego, Orange, Riverside and San Bernadino. When I click on New York in the first chart, the second chart should populate with Kings and Queens.
vega altair
Hello, could you share some data? Here is a link that could be useful altair-viz.github.io/gallery/…
– FlorianGD
Nov 21 at 12:04
@FlorianGD added some test data. I saw the various interval selection examples but am not able to adapt them to code where a single click of a bar in Chart 1 changes chart 2.
– Shahbaz
Nov 21 at 15:36
add a comment |
I'm having trouble with a fairly simple interaction because I don't understand the language of altair very much.
Say I have a dataframe containing the state, county and population.
I want to create one bar chart showing states and their populations and another showing counties and their populations.
Clicking on a state populates the next bar chart with county names, and their populations. Clicking away from any state in the first chart empties out the county chart again.
Simple master/detail or context/focus pair of charts.
Additonally, I'm not clear how to debug this either. Is there a way to print the selected state to the console?
Here is some data I pulled from wikipedia (unable to share actual work data):
State,County,Land Area
California,Los Angeles, 10510
Illinois,Cook, 2448
Texas,Harris, 4412
Arizona,Maricopa, 23828
California,San Diego, 10895
California,Orange, 2048
Florida,Miami-Dade, 4915
New York,Kings, 183
Texas,Dallas, 2257
New York,Queens, 281
California,Riverside, 18665
California,San Bernardino, 51947
When I click on the bar representing California in the first chart, the second chart should populate with Los Angeles, San Diego, Orange, Riverside and San Bernadino. When I click on New York in the first chart, the second chart should populate with Kings and Queens.
vega altair
I'm having trouble with a fairly simple interaction because I don't understand the language of altair very much.
Say I have a dataframe containing the state, county and population.
I want to create one bar chart showing states and their populations and another showing counties and their populations.
Clicking on a state populates the next bar chart with county names, and their populations. Clicking away from any state in the first chart empties out the county chart again.
Simple master/detail or context/focus pair of charts.
Additonally, I'm not clear how to debug this either. Is there a way to print the selected state to the console?
Here is some data I pulled from wikipedia (unable to share actual work data):
State,County,Land Area
California,Los Angeles, 10510
Illinois,Cook, 2448
Texas,Harris, 4412
Arizona,Maricopa, 23828
California,San Diego, 10895
California,Orange, 2048
Florida,Miami-Dade, 4915
New York,Kings, 183
Texas,Dallas, 2257
New York,Queens, 281
California,Riverside, 18665
California,San Bernardino, 51947
When I click on the bar representing California in the first chart, the second chart should populate with Los Angeles, San Diego, Orange, Riverside and San Bernadino. When I click on New York in the first chart, the second chart should populate with Kings and Queens.
vega altair
vega altair
edited Nov 21 at 15:35
asked Nov 21 at 3:24
Shahbaz
4,320144167
4,320144167
Hello, could you share some data? Here is a link that could be useful altair-viz.github.io/gallery/…
– FlorianGD
Nov 21 at 12:04
@FlorianGD added some test data. I saw the various interval selection examples but am not able to adapt them to code where a single click of a bar in Chart 1 changes chart 2.
– Shahbaz
Nov 21 at 15:36
add a comment |
Hello, could you share some data? Here is a link that could be useful altair-viz.github.io/gallery/…
– FlorianGD
Nov 21 at 12:04
@FlorianGD added some test data. I saw the various interval selection examples but am not able to adapt them to code where a single click of a bar in Chart 1 changes chart 2.
– Shahbaz
Nov 21 at 15:36
Hello, could you share some data? Here is a link that could be useful altair-viz.github.io/gallery/…
– FlorianGD
Nov 21 at 12:04
Hello, could you share some data? Here is a link that could be useful altair-viz.github.io/gallery/…
– FlorianGD
Nov 21 at 12:04
@FlorianGD added some test data. I saw the various interval selection examples but am not able to adapt them to code where a single click of a bar in Chart 1 changes chart 2.
– Shahbaz
Nov 21 at 15:36
@FlorianGD added some test data. I saw the various interval selection examples but am not able to adapt them to code where a single click of a bar in Chart 1 changes chart 2.
– Shahbaz
Nov 21 at 15:36
add a comment |
1 Answer
1
active
oldest
votes
This does what you want I believe. The idea is to create a selection on a chart, and use this to filter the second one.
import altair as alt
import pandas as pd
from io import StringIO
states_str = """State,County,Land Area
California,Los Angeles, 10510
Illinois,Cook, 2448
Texas,Harris, 4412
Arizona,Maricopa, 23828
California,San Diego, 10895
California,Orange, 2048
Florida,Miami-Dade, 4915
New York,Kings, 183
Texas,Dallas, 2257
New York,Queens, 281
California,Riverside, 18665
California,San Bernardino, 51947
"""
states_df = pd.read_csv(StringIO(states_str))
state_selector = alt.selection_multi(fields=['State'])
chart_states = alt.Chart(states_df).mark_bar().encode(
x=alt.X('State:N'),
y=alt.Y('count():Q')
).add_selection(state_selector)
chart_county = alt.Chart(states_df).mark_bar().encode(
x=alt.X('County:N'),
y=alt.Y('count():Q')
).transform_filter(state_selector)
chart_states | chart_county
Chart when nothing is selected
Chart after clicking on California on the first chart.
Created on 2018-11-21 by the reprexpy package
I hadn't thought of using selection_multi (instead of selection_single). I ended up building multi-level charts (think state, county, city). What an awesome tool and thanks for your hep.
– Shahbaz
Nov 22 at 2:01
add a comment |
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1 Answer
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active
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1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
This does what you want I believe. The idea is to create a selection on a chart, and use this to filter the second one.
import altair as alt
import pandas as pd
from io import StringIO
states_str = """State,County,Land Area
California,Los Angeles, 10510
Illinois,Cook, 2448
Texas,Harris, 4412
Arizona,Maricopa, 23828
California,San Diego, 10895
California,Orange, 2048
Florida,Miami-Dade, 4915
New York,Kings, 183
Texas,Dallas, 2257
New York,Queens, 281
California,Riverside, 18665
California,San Bernardino, 51947
"""
states_df = pd.read_csv(StringIO(states_str))
state_selector = alt.selection_multi(fields=['State'])
chart_states = alt.Chart(states_df).mark_bar().encode(
x=alt.X('State:N'),
y=alt.Y('count():Q')
).add_selection(state_selector)
chart_county = alt.Chart(states_df).mark_bar().encode(
x=alt.X('County:N'),
y=alt.Y('count():Q')
).transform_filter(state_selector)
chart_states | chart_county
Chart when nothing is selected
Chart after clicking on California on the first chart.
Created on 2018-11-21 by the reprexpy package
I hadn't thought of using selection_multi (instead of selection_single). I ended up building multi-level charts (think state, county, city). What an awesome tool and thanks for your hep.
– Shahbaz
Nov 22 at 2:01
add a comment |
This does what you want I believe. The idea is to create a selection on a chart, and use this to filter the second one.
import altair as alt
import pandas as pd
from io import StringIO
states_str = """State,County,Land Area
California,Los Angeles, 10510
Illinois,Cook, 2448
Texas,Harris, 4412
Arizona,Maricopa, 23828
California,San Diego, 10895
California,Orange, 2048
Florida,Miami-Dade, 4915
New York,Kings, 183
Texas,Dallas, 2257
New York,Queens, 281
California,Riverside, 18665
California,San Bernardino, 51947
"""
states_df = pd.read_csv(StringIO(states_str))
state_selector = alt.selection_multi(fields=['State'])
chart_states = alt.Chart(states_df).mark_bar().encode(
x=alt.X('State:N'),
y=alt.Y('count():Q')
).add_selection(state_selector)
chart_county = alt.Chart(states_df).mark_bar().encode(
x=alt.X('County:N'),
y=alt.Y('count():Q')
).transform_filter(state_selector)
chart_states | chart_county
Chart when nothing is selected
Chart after clicking on California on the first chart.
Created on 2018-11-21 by the reprexpy package
I hadn't thought of using selection_multi (instead of selection_single). I ended up building multi-level charts (think state, county, city). What an awesome tool and thanks for your hep.
– Shahbaz
Nov 22 at 2:01
add a comment |
This does what you want I believe. The idea is to create a selection on a chart, and use this to filter the second one.
import altair as alt
import pandas as pd
from io import StringIO
states_str = """State,County,Land Area
California,Los Angeles, 10510
Illinois,Cook, 2448
Texas,Harris, 4412
Arizona,Maricopa, 23828
California,San Diego, 10895
California,Orange, 2048
Florida,Miami-Dade, 4915
New York,Kings, 183
Texas,Dallas, 2257
New York,Queens, 281
California,Riverside, 18665
California,San Bernardino, 51947
"""
states_df = pd.read_csv(StringIO(states_str))
state_selector = alt.selection_multi(fields=['State'])
chart_states = alt.Chart(states_df).mark_bar().encode(
x=alt.X('State:N'),
y=alt.Y('count():Q')
).add_selection(state_selector)
chart_county = alt.Chart(states_df).mark_bar().encode(
x=alt.X('County:N'),
y=alt.Y('count():Q')
).transform_filter(state_selector)
chart_states | chart_county
Chart when nothing is selected
Chart after clicking on California on the first chart.
Created on 2018-11-21 by the reprexpy package
This does what you want I believe. The idea is to create a selection on a chart, and use this to filter the second one.
import altair as alt
import pandas as pd
from io import StringIO
states_str = """State,County,Land Area
California,Los Angeles, 10510
Illinois,Cook, 2448
Texas,Harris, 4412
Arizona,Maricopa, 23828
California,San Diego, 10895
California,Orange, 2048
Florida,Miami-Dade, 4915
New York,Kings, 183
Texas,Dallas, 2257
New York,Queens, 281
California,Riverside, 18665
California,San Bernardino, 51947
"""
states_df = pd.read_csv(StringIO(states_str))
state_selector = alt.selection_multi(fields=['State'])
chart_states = alt.Chart(states_df).mark_bar().encode(
x=alt.X('State:N'),
y=alt.Y('count():Q')
).add_selection(state_selector)
chart_county = alt.Chart(states_df).mark_bar().encode(
x=alt.X('County:N'),
y=alt.Y('count():Q')
).transform_filter(state_selector)
chart_states | chart_county
Chart when nothing is selected
Chart after clicking on California on the first chart.
Created on 2018-11-21 by the reprexpy package
answered Nov 21 at 21:29
FlorianGD
999219
999219
I hadn't thought of using selection_multi (instead of selection_single). I ended up building multi-level charts (think state, county, city). What an awesome tool and thanks for your hep.
– Shahbaz
Nov 22 at 2:01
add a comment |
I hadn't thought of using selection_multi (instead of selection_single). I ended up building multi-level charts (think state, county, city). What an awesome tool and thanks for your hep.
– Shahbaz
Nov 22 at 2:01
I hadn't thought of using selection_multi (instead of selection_single). I ended up building multi-level charts (think state, county, city). What an awesome tool and thanks for your hep.
– Shahbaz
Nov 22 at 2:01
I hadn't thought of using selection_multi (instead of selection_single). I ended up building multi-level charts (think state, county, city). What an awesome tool and thanks for your hep.
– Shahbaz
Nov 22 at 2:01
add a comment |
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Hello, could you share some data? Here is a link that could be useful altair-viz.github.io/gallery/…
– FlorianGD
Nov 21 at 12:04
@FlorianGD added some test data. I saw the various interval selection examples but am not able to adapt them to code where a single click of a bar in Chart 1 changes chart 2.
– Shahbaz
Nov 21 at 15:36