CODEWITHSUNDEEP
pythonbokehholoviews
25334
25334

Reputation: 25

Predefine selection of Holoviews RangeToolLink

Is there a way to adjust the selection range in the RangeToolLink?

By default, the entire area of the plot is selected, which can then be adjusted and/or moved accordingly.

Standard: enter image description here

Wish (for example): enter image description here

(From https://www.holoviews.org/gallery/demos/bokeh/timeseries_range_tool.html)

Upvotes: 0

Views: 82

Answers (2)

droumis
droumis

Reputation: 111

You actually don't need to set the range hook on the rangetool element, just the data curve plot

import pandas as pd
import holoviews as hv
from holoviews import opts
from holoviews.plotting.links import RangeToolLink

hv.extension('bokeh')
from bokeh.sampledata.stocks import AAPL

aapl_df = pd.DataFrame(AAPL['close'], columns=['close'], index=pd.to_datetime(AAPL['date']))
aapl_df.index.name = 'Date'

aapl_curve = hv.Curve(aapl_df, 'Date', ('close', 'Price ($)'))

def hook(plot, element):
    plot.handles['x_range'].start = pd.to_datetime('2006')
    plot.handles['x_range'].end = pd.to_datetime('2008')
tgt = aapl_curve.relabel('AAPL close price').opts(width=800, labelled=['y'], toolbar='disable').opts(hooks=[hook])

src = aapl_curve.opts(width=800, height=100, yaxis=None, default_tools=[])

RangeToolLink(src, tgt)

layout = (tgt + src).cols(1)
layout.opts(opts.Layout(shared_axes=False, merge_tools=False))

enter image description here

Upvotes: 1

mosc9575
mosc9575

Reputation: 6347

In Holoviews it is possible to set the underling properties of the figure using a hook.

In the example below there are two different hooks used for the upper and lower figure.

import pandas as pd
import holoviews as hv
from holoviews import opts
from holoviews.plotting.links import RangeToolLink

hv.extension('bokeh')
from bokeh.sampledata.stocks import AAPL

aapl_df = pd.DataFrame(AAPL['close'], columns=['close'], index=pd.to_datetime(AAPL['date']))
aapl_df.index.name = 'Date'

aapl_curve = hv.Curve(aapl_df, 'Date', ('close', 'Price ($)'))

def hook(plot, element):
    plot.handles['x_range'].start = pd.to_datetime('2006')
    plot.handles['x_range'].end = pd.to_datetime('2008')
tgt = aapl_curve.relabel('AAPL close price').opts(width=800, labelled=['y'], toolbar='disable').opts(hooks=[hook])

def hook(plot, element):
    plot.handles['x_range'].start = pd.to_datetime('2000')
    plot.handles['x_range'].end = pd.to_datetime('2014')
src = aapl_curve.opts(width=800, height=100, yaxis=None, default_tools=[]).opts(hooks=[hook])

RangeToolLink(src, tgt)

layout = (tgt + src).cols(1)
layout.opts(opts.Layout(shared_axes=False, merge_tools=False))

result after modification of the range tool

The result is very similar to the range_tool example of the bokeh library.

Upvotes: 3

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