import panel as pn
import hvplot.pandas  # noqa

from bokeh.sampledata.iris import flowers

flowers.hvplot.bivariate(x='sepal_width', y='sepal_length', width=600, 
                         groupby='species')

flowers.hvplot.bivariate(x='sepal_width', y='sepal_length', width=600, 
                         groupby='species', widget_location='left_top')

flowers.hvplot.bivariate(x='sepal_width', y='sepal_length', width=600, 
                         groupby='species', widgets={'species': pn.widgets.DiscreteSlider})

x = pn.widgets.Select(name='x', options=['sepal_width', 'petal_width'])
y = pn.widgets.Select(name='y', options=['sepal_length', 'petal_length'])
kind = pn.widgets.Select(name='kind', value='scatter', options=['bivariate', 'scatter'])

plot = flowers.hvplot(x=x, y=y, kind=kind, colorbar=False, width=600)
pn.Row(pn.WidgetBox(x, y, kind), plot)

x = pn.widgets.Select(name='x', options=['sepal_width', 'petal_width'])
y = pn.widgets.Select(name='y', options=['sepal_length', 'petal_length'])
kind = pn.widgets.Select(name='kind', value='scatter', options=['bivariate', 'scatter'])
by_species = pn.widgets.Checkbox(name='By species')
color = pn.widgets.ColorPicker(value='#ff0000')

@pn.depends(by_species, color)
def by_species_fn(by_species, color):
    return 'species' if by_species else color

plot = flowers.hvplot(x=x, y=y, kind=kind, c=by_species_fn, colorbar=False, width=600, legend='top_right')

pn.Row(pn.WidgetBox(x, y, kind, color, by_species), plot)

def update(event):
    if kind.value == 'bivariate':
        color.disabled = True
        by_species.disabled = True
    else:
        color.disabled = False
        by_species.disabled = False

kind.param.watch(update, 'value');