File: interactive_layered_crossfilter.py

package info (click to toggle)
python-altair 4.2.0-1
  • links: PTS, VCS
  • area: main
  • in suites: bookworm
  • size: 9,972 kB
  • sloc: python: 22,391; makefile: 222; sh: 14
file content (45 lines) | stat: -rw-r--r-- 1,129 bytes parent folder | download | duplicates (2)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
"""
Interactive Crossfilter
=======================
This example shows a multi-panel view of the same data, where you can interactively
select a portion of the data in any of the panels to highlight that portion in any
of the other panels.
"""
# category: interactive charts
import altair as alt
from vega_datasets import data

source = alt.UrlData(
    data.flights_2k.url,
    format={'parse': {'date': 'date'}}
)

brush = alt.selection(type='interval', encodings=['x'])

# Define the base chart, with the common parts of the
# background and highlights
base = alt.Chart().mark_bar().encode(
    x=alt.X(alt.repeat('column'), type='quantitative', bin=alt.Bin(maxbins=20)),
    y='count()'
).properties(
    width=160,
    height=130
)

# gray background with selection
background = base.encode(
    color=alt.value('#ddd')
).add_selection(brush)

# blue highlights on the transformed data
highlight = base.transform_filter(brush)

# layer the two charts & repeat
alt.layer(
    background,
    highlight,
    data=source
).transform_calculate(
    "time",
    "hours(datum.date)"
).repeat(column=["distance", "delay", "time"])