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HoloViews DynamicMap hover tool does not update with chosen variable

0

I'm learning HoloViews with the Bokeh backend and am making an iPython/Jupyter display of the chosen column of a pandas DataFrame (actually it's an xarray Dataset but it's simpler to show the issue with a DataFrame). The issue is that when I chose any column/variable other than the first one, the hover tooltip still shows the value from the first column/variable. My code is loosely based on the HoloViews dashboard docs.

import holoviews as hv
import pandas as pd
df = pd.DataFrame()
df['time'] = pd.date_range('2018-01-01', '2018-01-31')
df['var1'] = np.linspace(0, 1, len(df['time']))
df['var2'] = np.ones(df['var1'].shape)

def load_symbol(var):
 return hv.Curve(df, ('time', 'Time'), var)

variables = ['var1', 'var2']
dmap = hv.DynamicMap(load_symbol, kdims='Variable').redim.values(Variable=variables)

dmap.opts(framewise=True, tools=['hover'])

Using the hover tool with the first variable selected:

Using the hover tool with the second variable selected:

Note that the correct tooltip value (0.200) is shown for var1. But when var2 is selected, the hover tool still shows the value for var1, even though the tooltip is in the correct place for var2. What's going on here?

python jupyter-notebook bokeh holoviews

share|improve this question

edited Mar 22 at 14:35

Dan

asked Mar 21 at 20:04

DanDan

45858

add a comment | 

0

I'm learning HoloViews with the Bokeh backend and am making an iPython/Jupyter display of the chosen column of a pandas DataFrame (actually it's an xarray Dataset but it's simpler to show the issue with a DataFrame). The issue is that when I chose any column/variable other than the first one, the hover tooltip still shows the value from the first column/variable. My code is loosely based on the HoloViews dashboard docs.

import holoviews as hv
import pandas as pd
df = pd.DataFrame()
df['time'] = pd.date_range('2018-01-01', '2018-01-31')
df['var1'] = np.linspace(0, 1, len(df['time']))
df['var2'] = np.ones(df['var1'].shape)

def load_symbol(var):
 return hv.Curve(df, ('time', 'Time'), var)

variables = ['var1', 'var2']
dmap = hv.DynamicMap(load_symbol, kdims='Variable').redim.values(Variable=variables)

dmap.opts(framewise=True, tools=['hover'])

Using the hover tool with the first variable selected:

Using the hover tool with the second variable selected:

Note that the correct tooltip value (0.200) is shown for var1. But when var2 is selected, the hover tool still shows the value for var1, even though the tooltip is in the correct place for var2. What's going on here?

python jupyter-notebook bokeh holoviews

share|improve this question

edited Mar 22 at 14:35

Dan

asked Mar 21 at 20:04

DanDan

45858

add a comment | 

I'm learning HoloViews with the Bokeh backend and am making an iPython/Jupyter display of the chosen column of a pandas DataFrame (actually it's an xarray Dataset but it's simpler to show the issue with a DataFrame). The issue is that when I chose any column/variable other than the first one, the hover tooltip still shows the value from the first column/variable. My code is loosely based on the HoloViews dashboard docs.

import holoviews as hv
import pandas as pd
df = pd.DataFrame()
df['time'] = pd.date_range('2018-01-01', '2018-01-31')
df['var1'] = np.linspace(0, 1, len(df['time']))
df['var2'] = np.ones(df['var1'].shape)

def load_symbol(var):
 return hv.Curve(df, ('time', 'Time'), var)

variables = ['var1', 'var2']
dmap = hv.DynamicMap(load_symbol, kdims='Variable').redim.values(Variable=variables)

dmap.opts(framewise=True, tools=['hover'])

Using the hover tool with the first variable selected:

Using the hover tool with the second variable selected:

Note that the correct tooltip value (0.200) is shown for var1. But when var2 is selected, the hover tool still shows the value for var1, even though the tooltip is in the correct place for var2. What's going on here?

python jupyter-notebook bokeh holoviews

share|improve this question

edited Mar 22 at 14:35

Dan

asked Mar 21 at 20:04

DanDan

45858

import holoviews as hv
import pandas as pd
df = pd.DataFrame()
df['time'] = pd.date_range('2018-01-01', '2018-01-31')
df['var1'] = np.linspace(0, 1, len(df['time']))
df['var2'] = np.ones(df['var1'].shape)

def load_symbol(var):
 return hv.Curve(df, ('time', 'Time'), var)

variables = ['var1', 'var2']
dmap = hv.DynamicMap(load_symbol, kdims='Variable').redim.values(Variable=variables)

dmap.opts(framewise=True, tools=['hover'])

share|improve this question

edited Mar 22 at 14:35

Dan

asked Mar 21 at 20:04

DanDan

45858

share|improve this question

edited Mar 22 at 14:35

Dan

asked Mar 21 at 20:04

DanDan

45858

asked Mar 21 at 20:04

DanDan

45858

asked Mar 21 at 20:04

DanDan

45858