Source code for bmtk.analyzer.visualization.widgets

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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()
[docs] def ti(self, t): return int(t*self.frame_rate) - int(self.t_range[0]*self.frame_rate)