import hvplot.streamz  # noqa

from streamz.dataframe import Random
df = Random(interval='200ms', freq='50ms')

df.hvplot()

df.z.cumsum().hvplot()

df.hvplot.table(width=400, backlog=10)

df.groupby('y').sum().hvplot.bar(x='y')

(df.hvplot.line(width=400, backlog=100) * df.hvplot.scatter(width=400, backlog=100) +
 df.groupby('y').sum().hvplot.bar('y', 'x', width=400) +
 df.hvplot.box(width=400) + df.x.hvplot.kde(width=400, shared_axes=False)).cols(2)