import sys
print(sys.version)
print('Hello, World!')
for i in range(5):
print(i)
- bokeh
- numpy
- panel==0.13.1a2
Panel Example
import asyncio
import panel as pn
slider = pn.widgets.FloatSlider(start=0, end=10, name='Amplitude')
def callback(new):
return f'Amplitude is: {new}'
row = pn.Row(slider, pn.bind(callback, slider))
await pn.io.pyodide.show(row, 'myplot')
- altair
- pandas
- vega_datasets
import altair as alt
from vega_datasets import data
source = data.movies.url
pts = alt.selection(type="single", encodings=['x'])
rect = alt.Chart(data.movies.url).mark_rect().encode(
alt.X('IMDB_Rating:Q', bin=True),
alt.Y('Rotten_Tomatoes_Rating:Q', bin=True),
alt.Color('count()',
scale=alt.Scale(scheme='greenblue'),
legend=alt.Legend(title='Total Records')
)
)
circ = rect.mark_point().encode(
alt.ColorValue('grey'),
alt.Size('count()',
legend=alt.Legend(title='Records in Selection')
)
).transform_filter(
pts
)
bar = alt.Chart(source).mark_bar().encode(
x='Major_Genre:N',
y='count()',
color=alt.condition(pts, alt.ColorValue("steelblue"), alt.ColorValue("grey"))
).properties(
width=550,
height=200
).add_selection(pts)
alt.vconcat(
rect + circ,
bar
).resolve_legend(
color="independent",
size="independent"
)