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
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
|
---
title: "Altair Example"
output:
html_document:
df_print: paged
pdf_document: default
---
```{r}
library(reticulate)
# py_install(c("altair", "vega_datasets", "pandas"))
```
```{python, altair.fig.width=800, altair.fig.height=300}
import altair as alt
from vega_datasets import data
source = data.movies.url
alt.Chart(source).mark_bar().encode(
alt.X("IMDB_Rating:Q", bin=True),
y='count()',
)
```
## Compound charts
```{python}
import altair as alt
import pandas as pd
source = pd.DataFrame({
'a': ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I'],
'b': [28, 55, 43, 91, 81, 53, 19, 87, 52]
})
fig1 = alt.Chart(source).mark_bar().encode(
x='a',
y='b'
)
fig2 = alt.Chart(source).mark_bar().encode(
x='a',
y='b',
color='b:N'
)
fig3 = alt.Chart(source).mark_bar().encode(
x='a',
y='b',
color='a:N'
)
```
## Compound Chart1
```{python}
#| label: first
(fig1 | fig2).properties(title="This is the First Chart")
```
## Compound Chart2
```{python}
#| label: second
(fig2 | fig1).properties(title="This is the Second Chart")
```
## Compound Chart3
```{python}
#| label: third
(fig2 | fig1 | fig3).properties(title="This is the Third Chart")
```
|
