Dear all,

Has anyone already faced a problem of two holoviews plots unwillingly sharing the same data ranges? I have a panel dashboard that calls two distinct plots and present them side by side and each one of them inside a WidgetBox. Each plot is generated as in the script below and apparently have nothing in common (the plot_opts are local variables!). Even though, in the final result they share the data range (the one in the right takes the data range of the one in the left).

Is this an issue or just me screwing things up?

```
import numpy as np
import holoviews as hv
from holoviews import opts
from holoviews import streams
from holoviews.operation.datashader import regrid
hv.extension('bokeh')
def getPlanePlot(plane, cmap, origin_file_type):
if origin_file_type == 'sep_gathers' or origin_file_type == 'segy_gathers':
clip = 99
half_range = (plane.max() - plane.min())/2
m_clip = (half_range / 100.) * clip
vmin = -half_range + m_clip
vmax = -vmin
height=500
width=500
elif origin_file_type == 'velocity_model':
clip=np.percentile(plane, 99.9)
vmin = clip
vmax = -vmin
height=500
width=750
plane = plane[::-1,:]
bounds=(0, 0, plane.shape[1], plane.shape[0])
plot_opts = {
'height': height,
'width': width,
'colorbar': True,
'clim':(vmin, vmax),
'xlabel': '',
'ylabel': '',
'xlim': (0, plane.shape[1]),
'ylim': (0, plane.shape[0]),
'xaxis': 'top',
'invert_yaxis': True,
}
style_opts = {'cmap': cmap}
img = hv.Image(plane, bounds=bounds).opts(plot=plot_opts, style=style_opts)
return regrid(img, upsample=True, interpolation='bilinear', precompute=True)
def PlotTrace(plane, line_id, wiggle, wiggle_limits):
aspect=500
vmin = round(wiggle_limits[0])
vmax = round(wiggle_limits[1])
trace = np.round(plane[line_id-1][vmin:vmax], 5)
x = np.arange(vmin, vmax)
x_interp = np.linspace(vmin, vmax, 20*len(x))
trace_interp = np.interp(x_interp, x, trace)
lim = 1.05*max((abs(trace.min()), trace.max()))
if wiggle == 'Positive':
w = np.array([i if i > 0 else 0 for i in trace_interp])
elif wiggle == 'Negative':
w = np.array([i if i < 0 else 0 for i in trace_interp])
else:
w = np.zeros(len(trace_interp))
plot_opts_trace = {'height': aspect,
'width': aspect,
'xlabel': '',
'ylabel': '',
'xlim': (vmin, vmax),
'ylim': (-lim, lim),
'xaxis': 'top',
'invert_yaxis': True,
'invert_axes': True,
}
style_opts_curve = {'color': 'k'}
style_opts_area = {'fill_color': 'k'}
return hv.Area((x_interp, w)).opts(plot=plot_opts_trace, style=style_opts_area) * hv.Curve((x_interp, trace_interp)).opts(plot=plot_opts_trace, style=style_opts_curve)
```