mirror of
https://github.com/aykhans/AzSuicideDataVisualization.git
synced 2025-04-22 10:28:02 +00:00
44 lines
1.0 KiB
Python
44 lines
1.0 KiB
Python
"""
|
|
Ranged Dot Plot
|
|
-----------------
|
|
This example shows a ranged dot plot that uses 'layer' to convey changing life expectancy for the five most populous countries (between 1955 and 2000).
|
|
"""
|
|
# category: other charts
|
|
import altair as alt
|
|
from vega_datasets import data
|
|
|
|
source = data.countries.url
|
|
|
|
chart = alt.layer(
|
|
data=source
|
|
).transform_filter(
|
|
filter={"field": 'country',
|
|
"oneOf": ["China", "India", "United States", "Indonesia", "Brazil"]}
|
|
).transform_filter(
|
|
filter={'field': 'year',
|
|
"oneOf": [1955, 2000]}
|
|
)
|
|
|
|
chart += alt.Chart().mark_line(color='#db646f').encode(
|
|
x='life_expect:Q',
|
|
y='country:N',
|
|
detail='country:N'
|
|
)
|
|
# Add points for life expectancy in 1955 & 2000
|
|
chart += alt.Chart().mark_point(
|
|
size=100,
|
|
opacity=1,
|
|
filled=True
|
|
).encode(
|
|
x='life_expect:Q',
|
|
y='country:N',
|
|
color=alt.Color('year:O',
|
|
scale=alt.Scale(
|
|
domain=['1955', '2000'],
|
|
range=['#e6959c', '#911a24']
|
|
)
|
|
)
|
|
).interactive()
|
|
|
|
chart
|