def base_plot(x_label, y_label, title, **kwargs):
# This allows disabling of horizontal zooming, which gets annoying in most dsp plots
# e.g. usage: fft_plot = pysdr.base_plot('Freq', 'PSD', 'Frequency', disable_horizontal_zooming=True)
if 'disable_horizontal_zooming' in kwargs and kwargs[
'disable_horizontal_zooming']: # if it's specified and is set True
tools = [WheelZoomTool(dimensions='height')]
else:
tools = [WheelZoomTool()]
# Similar to above, except disable all zooming, perfect for waterfall plots
if 'disable_all_zooming' in kwargs and kwargs[
'disable_all_zooming']: # if it's specified and is set True
tools = [] # removes the WheelZoomTool we just added above
if 'plot_height' in kwargs:
plot_height = kwargs['plot_height']
else:
plot_height = 200
# Create the Bokeh figure
plot = Figure(
plot_width=
300, # this is more for the ratio, because we have auto-width scaling
plot_height=plot_height,
y_axis_label=y_label,
x_axis_label=x_label,
tools=tools + [
BoxZoomTool(), ResetTool(), SaveTool()
], # all the other tools we want- reference http://bokeh.pydata.org/en/0.10.0/docs/reference/models/tools.html
title=title
) # use min_border=30 to add padding between plots, if we ever want it
# sets wheel zoom active by default (tools[0] is the wheelzoom), unless zooming was disabled
if 'disable_all_zooming' not in kwargs:
plot.toolbar.active_scroll = plot.toolbar.tools[0]
# hides stupid bokeh logo
plot.toolbar.logo = None
# add more intuitive functions to set x and y ranges
def _set_x_range(
min_x, max_x
): # without the underscore it wont work, bokeh/core/has_props.py overloads __setattr__ to intercept attribute setting that is not private
plot.x_range = Range1d(min_x, max_x)
def _set_y_range(min_y, max_y):
plot.y_range = Range1d(min_y, max_y)
plot._set_x_range = _set_x_range # add functions to object
plot._set_y_range = _set_y_range
# Add input buffer
manager = Manager()
plot._input_buffer = manager.dict()
# return the bokeh figure object
return plot
def utilization_bar(max_y):
plot = Figure(
plot_width=
150, # this is more for the ratio, because we have auto-width scaling
plot_height=150,
tools=[], # no tools needed for this one
title='Utilization')
plot.toolbar.logo = None # hides logo
plot.x_range = Range1d(0, 1)
plot.y_range = Range1d(
0,
max_y) # sometimes you want it to be way less than 1, to see it move
plot.xaxis.visible = False # hide x axis
# Add input buffer
manager = Manager()
plot._input_buffer = manager.dict()
return plot