Source code for bmtk.analyzer.visualization.widgets
# Copyright 2017. Allen Institute. All rights reserved
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# disclaimer in the documentation and/or other materials provided with the distribution.
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import matplotlib.pyplot as plt
import scipy.interpolate as spinterp
import numpy as np
[docs]class PlotWidget(object):
def __init__(self, t_range, y_range, rate_ax=None, position_ax=None, metadata={}, location_markersize=5):
if rate_ax is None:
self.fig = plt.figure()
self.ax = self.fig.add_subplot(111)
else:
self.ax = rate_ax
self.position_ax = position_ax
self.t_range = t_range
self.y_range = y_range
self.interp_fcn = spinterp.interp1d(self.t_range, self.y_range)
self._t = None
self.metadata=metadata
self.artist_list = []
self.location_markersize = location_markersize
@property
def y(self):
return self.interp_fcn(self._t)
[docs] def initialize(self, t0, **kwargs):
self._t = t0
self.plot_data, = self.ax.plot(self.t_range,self.y_range,**kwargs)
self.vertical_rule_data, = self.ax.plot([self._t, self._t],self.ax.get_ylim(),'--r')
self.point_data, = self.ax.plot([self._t],[self.y],'*r')
self.artist_list = [self.plot_data, self.vertical_rule_data, self.point_data]
if (not self.position_ax is None) and 'position' in self.metadata:
x = self.metadata['position'][0]
y = self.metadata['position'][1]
self.location_point_data, = self.position_ax.plot([x],[y],'*r', markersize=self.location_markersize)
self.artist_list.append(self.location_point_data)
[docs] def update(self, t):
self._t = t
self.point_data
self.point_data.set_xdata([self._t])
self.vertical_rule_data.set_xdata([self._t, self._t])
self.vertical_rule_data.set_ydata(self.ax.get_ylim())
for data in self.artist_list:
self.ax.figure.canvas.blit(data)
[docs] def set_visible(self, visible_or_not):
for data in self.artist_list:
data.set_visible(visible_or_not)
self.ax.figure.canvas.blit(data)
[docs]class MovieWidget(object):
def __init__(self, t_range, data, ax=None, metadata={}):
if ax is None:
self.fig = plt.figure()
self.ax = self.fig.add_subplot(111)
else:
self.ax = ax
self.t_range = t_range
self.frame_rate = 1./np.mean(np.diff(t_range))
self.data = data
self.ax.get_xaxis().set_visible(False)
self.ax.get_yaxis().set_visible(False)
self.metadata=metadata
[docs] def initialize(self, t0, vmin=-1, vmax=1, cmap=plt.cm.gray):
data = self.data[self.ti(t0),:,:]
self.im = self.ax.imshow(data, vmin=vmin, vmax=vmax, cmap=cmap)
[docs] def update(self, t):
data = self.data[self.ti(t),:,:]
self.im.set_data(data)
self.ax.figure.canvas.draw()