# Plot / Interval / Stacked
# Make a #stacked column #plot. #interval
# ---
from synth import FakeMultiCategoricalSeries
from h2o_wave import site, data, ui
page = site['/demo']
n = 10
k = 5
f = FakeMultiCategoricalSeries(groups=k)
v = page.add(
'example',
ui.plot_card(box='1 1 4 5',
title='Intervals, stacked',
data=data('country product price', n * k),
plot=ui.plot([
ui.mark(type='interval',
x='=product',
y='=price',
color='=country',
stack='auto',
y_min=0)
])))
v.data = [(g, t, x) for x in [f.next() for _ in range(n)] for g, t, x, dx in x]
page.save()
# Plot / Interval / Stacked / Grouped / Transpose
# Make a bar #plot with both #stacked and grouped bars. #interval
# ---
from synth import FakeMultiCategoricalSeries
from h2o_wave import site, data, ui
page = site['/demo']
n = 5
k = 5
f1 = FakeMultiCategoricalSeries(groups=k)
f2 = FakeMultiCategoricalSeries(groups=k)
v = page.add(
'example',
ui.plot_card(box='1 1 4 5',
title='Intervals, stacked and dodged',
data=data('category country product price', n * k * 2),
plot=ui.plot([
ui.mark(type='interval',
x='=price',
y='=product',
color='=country',
stack='auto',
dodge='=category',
x_min=0)
])))
data1 = [('A', g, t, x) for x in [f1.next() for _ in range(n)]
for g, t, x, _ in x]
data2 = [('B', g, t, x) for x in [f2.next() for _ in range(n)]
for g, t, x, _ in x]