{{#each dishes}}
<li><strong>{{name}}</strong> costs {{price}}</li>
{{/each}}
</ol
'''
spec = '''
{
"description": "A simple bar plot with embedded data.",
"mark": "bar",
"encoding": {
"x": {"field": "a", "type": "ordinal"},
"y": {"field": "b", "type": "quantitative"}
}
}
'''
f = FakeCategoricalSeries()
n = 20
# Generate random datum between 1 and 100
def rnd(): return random.randint(1, 100)
@app('/demo')
async def serve(q: Q):
q.page['example'] = ui.form_card(box='1 1 4 10', items=[
ui.text_xl(content='Extra-large text, for headings.'),
ui.text_l(content='Large text, for sub-headings.'),
ui.text_m(content='Body text, for paragraphs and other content.'),
ui.text_s(content='Small text, for small print.'),
ui.text_xs(content='Extra-small text, for really small print.'),
# Plot / Interval
# Make a column #plot. #interval
# ---
from synth import FakeCategoricalSeries
from h2o_wave import site, data, ui
page = site['/demo']
n = 20
f = FakeCategoricalSeries()
v = page.add(
'example',
ui.plot_card(box='1 1 4 5',
title='Interval',
data=data('product price', n),
plot=ui.plot([
ui.mark(type='interval',
x='=product',
y='=price',
y_min=0)
])))
v.data = [(c, x) for c, x, dx in [f.next() for _ in range(n)]]
page.save()
# Stat / Series / Small / Interval
# Create a small stat card displaying a primary value and a series plot.
# ---
import time
from faker import Faker
from synth import FakeCategoricalSeries
from h2o_wave import site, ui, data
page = site['/demo']
fake = Faker()
f = FakeCategoricalSeries()
cat, val, pc = f.next()
c = page.add(
f'example',
ui.small_series_stat_card(
box='1 1 1 1',
title=fake.cryptocurrency_name(),
value=
'=${{intl qux minimum_fraction_digits=2 maximum_fraction_digits=2}}',
data=dict(qux=val, quux=pc),
plot_category='foo',
plot_type='interval',
plot_value='qux',
plot_color='$red',
plot_data=data('foo qux', -20),
plot_zero_value=0,
))
page.save()
# Plot / Histogram
# Make a histogram.
# ---
from synth import FakeCategoricalSeries
from h2o_wave import site, data, ui
page = site['/demo']
n = 10
f = FakeCategoricalSeries()
v = page.add(
'example',
ui.plot_card(box='1 1 4 5',
title='Histogram',
data=data('lo hi price', n),
plot=ui.plot([
ui.mark(type='interval',
y='=price',
x1='=lo',
x2='=hi',
y_min=0)
])))
v.data = [(i * 10, i * 10 + 10, x)
for i, (c, x, dx) in enumerate([f.next() for _ in range(n)])]
page.save()
# Plot / Interval / Range
# Make a column #plot with each bar representing high/low (or start/end) values.
# Transposing this produces a gantt plot. #interval #range
# ---
import random
from synth import FakeCategoricalSeries
from h2o_wave import site, data, ui
page = site['/demo']
n = 20
f = FakeCategoricalSeries()
v = page.add('example', ui.plot_card(
box='1 1 4 5',
title='Interval, range',
data=data('product low high', n),
plot=ui.plot([ui.mark(type='interval', x='=product', y0='=low', y='=high')])
))
v.data = [(c, x - random.randint(3, 10), x + random.randint(3, 10)) for c, x, dx in [f.next() for _ in range(n)]]
page.save()
def create_dashboard(update_freq=0.0):
page = site['/demo']
simples = []
for i in range(1, 7):
f = FakePercent()
val, pc = f.next()
c = page.add(
f'a{i}',
ui.small_stat_card(
box=f'{i} 1 1 1',
title=fake.cryptocurrency_name(),
value=f'${val:.2f}',
))
simples.append((f, c))
simples_colored = []
for i in range(1, 7):
f = FakeCategoricalSeries()
cat, val, pc = f.next()
c = page.add(
f'aa{i}',
ui.small_series_stat_card(
box=f'{6 + i} 1 1 1',
title=fake.cryptocurrency_code(),
value=
'=${{intl qux minimum_fraction_digits=2 maximum_fraction_digits=2}}',
data=dict(qux=val, quux=pc / 100),
plot_category='foo',
plot_value='qux',
plot_color=next_color(),
plot_data=data('foo qux', -15),
plot_zero_value=0,
plot_curve=next_curve(),
))
simples_colored.append((f, c))
lines = []
for i in range(1, 13, 2):
f = FakeCategoricalSeries()
cat, val, pc = f.next()
c = page.add(
f'b{i}',
ui.wide_series_stat_card(
box=f'{i} 2 2 1',
title=fake.cryptocurrency_name(),
value=
'=${{intl qux minimum_fraction_digits=2 maximum_fraction_digits=2}}',
aux_value=
'={{intl quux style="percent" minimum_fraction_digits=1 maximum_fraction_digits=1}}',
data=dict(qux=val, quux=pc / 100),
plot_category='foo',
plot_value='qux',
plot_color=next_color(),
plot_data=data('foo qux', -15),
plot_zero_value=0,
plot_curve=next_curve(),
))
lines.append((f, c))
bars = []
for i in range(1, 13, 2):
f = FakeCategoricalSeries()
cat, val, pc = f.next()
c = page.add(
f'c{i}',
ui.wide_series_stat_card(
box=f'{i} 3 2 1',
title=fake.cryptocurrency_name(),
value=
'=${{intl qux minimum_fraction_digits=2 maximum_fraction_digits=2}}',
aux_value=
'={{intl quux style="percent" minimum_fraction_digits=1 maximum_fraction_digits=1}}',
data=dict(qux=val, quux=pc),
plot_type='interval',
plot_category='foo',
plot_value='qux',
plot_color=next_color(),
plot_data=data('foo qux', -25),
plot_zero_value=0))
bars.append((f, c))
large_pcs = []
for i in range(1, 13):
f = FakePercent()
val, pc = f.next()
c = page.add(
f'd{i}',
ui.tall_gauge_stat_card(
box=f'{i} 4 1 2',
title=fake.cryptocurrency_name(),
value=
'=${{intl foo minimum_fraction_digits=2 maximum_fraction_digits=2}}',
aux_value=
'={{intl bar style="percent" minimum_fraction_digits=2 maximum_fraction_digits=2}}',
plot_color=next_color(),
progress=pc,
data=dict(foo=val, bar=pc / 100),
))
large_pcs.append((f, c))
large_lines = []
for i in range(1, 13):
f = FakeCategoricalSeries()
cat, val, pc = f.next()
c = page.add(
f'e{i}',
ui.tall_series_stat_card(
box=f'{i} 6 1 2',
title=fake.cryptocurrency_name(),
value=
'=${{intl qux minimum_fraction_digits=2 maximum_fraction_digits=2}}',
aux_value=
'={{intl quux style="percent" minimum_fraction_digits=1 maximum_fraction_digits=1}}',
data=dict(qux=val, quux=pc),
plot_type='area',
plot_category='foo',
plot_value='qux',
plot_color=next_color(),
plot_data=data('foo qux', -15),
plot_zero_value=0,
plot_curve=next_curve(),
))
large_lines.append((f, c))
small_pcs = []
for i in range(1, 7, 2):
f = FakePercent()
val, pc = f.next()
c = page.add(
f'f{i}',
ui.wide_gauge_stat_card(
box=f'{i} 8 2 1',
title=fake.cryptocurrency_name(),
value=
'=${{intl foo minimum_fraction_digits=2 maximum_fraction_digits=2}}',
aux_value=
'={{intl bar style="percent" minimum_fraction_digits=2 maximum_fraction_digits=2}}',
plot_color=next_color(),
progress=pc,
data=dict(foo=val, bar=pc / 100),
))
small_pcs.append((f, c))
small_pbs = []
for i in range(7, 13, 2):
f = FakePercent()
val, pc = f.next()
c = page.add(
f'f{i}',
ui.wide_bar_stat_card(
box=f'{i} 8 2 1',
title=fake.cryptocurrency_name(),
value=
'=${{intl foo minimum_fraction_digits=2 maximum_fraction_digits=2}}',
aux_value=
'={{intl bar style="percent" minimum_fraction_digits=2 maximum_fraction_digits=2}}',
plot_color=next_color(),
progress=pc,
data=dict(foo=val, bar=pc / 100),
))
small_pbs.append((f, c))
large_cards = []
for i in range(1, 7, 2):
f = FakePercent()
val, pc = f.next()
c = page.add(
f'g{i}',
ui.large_stat_card(
box=f'{i} 9 2 2',
title=fake.cryptocurrency_name(),
value=
'=${{intl qux minimum_fraction_digits=2 maximum_fraction_digits=2}}',
aux_value=
'={{intl quux style="percent" minimum_fraction_digits=1 maximum_fraction_digits=1}}',
data=dict(qux=val, quux=pc / 100),
caption=' '.join(fake.sentences()),
))
large_cards.append((f, c))
large_pbs = []
for i in range(7, 13, 2):
f = FakePercent()
val, pc = f.next()
c = page.add(
f'g{i}',
ui.large_bar_stat_card(
box=f'{i} 9 2 2',
title=fake.cryptocurrency_name(),
value=
'=${{intl foo minimum_fraction_digits=2 maximum_fraction_digits=2}}',
value_caption='This Month',
aux_value=
'={{intl bar style="percent" minimum_fraction_digits=2 maximum_fraction_digits=2}}',
aux_value_caption='Previous Month',
plot_color=next_color(),
progress=pc,
data=dict(foo=val, bar=pc / 100),
caption=' '.join(fake.sentences(2)),
))
large_pbs.append((f, c))
page.save()
while update_freq > 0:
time.sleep(update_freq)
for f, c in simples:
val, pc = f.next()
c.value = f'${val:.2f}',
for f, c in simples_colored:
cat, val, pc = f.next()
c.data.qux = val
c.data.quux = pc / 100
c.plot_data[-1] = [cat, val]
for f, c in lines:
cat, val, pc = f.next()
c.data.qux = val
c.data.quux = pc / 100
c.plot_data[-1] = [cat, val]
for f, c in bars:
cat, val, pc = f.next()
c.data.qux = val
c.data.quux = pc / 100
c.plot_data[-1] = [cat, val]
for f, c in large_lines:
cat, val, pc = f.next()
c.data.qux = val
c.data.quux = pc / 100
c.plot_data[-1] = [cat, val]
for f, c in large_pcs:
val, pc = f.next()
c.data.foo = val
c.data.bar = pc
c.progress = pc
for f, c in small_pcs:
val, pc = f.next()
c.data.foo = val
c.data.bar = pc
c.progress = pc
for f, c in small_pbs:
val, pc = f.next()
c.data.foo = val
c.data.bar = pc
c.progress = pc
for f, c in large_cards:
val, pc = f.next()
c.data.qux = val
c.data.quux = pc
for f, c in large_pbs:
val, pc = f.next()
c.data.foo = val
c.data.bar = pc
c.progress = pc
page.save()
# Plot / Form
# Display a plot inside a form.
# ---
from synth import FakeCategoricalSeries
from h2o_wave import site, data, ui
page = site['/demo']
n = 20
f = FakeCategoricalSeries()
v = page.add(
'example',
ui.form_card(
box='1 1 4 5',
items=[
ui.text_xl('Example 1'),
ui.visualization(
plot=ui.plot([
ui.mark(type='interval', x='=product', y='=price', y_min=0)
]),
data=data(fields='product price',
rows=[(c, x)
for c, x, _ in [f.next() for _ in range(n)]],
pack=True),
),
ui.text_xl('Example 2'),
ui.visualization(
plot=ui.plot([
ui.mark(type='interval', x='=product', y='=price', y_min=0)
]),
data=data(fields='product price',
