def makeHDPlot(self, spk_times: np.array = None,
ax: matplotlib.axes = None, **kwargs) -> matplotlib.axes:
self.initialise()
spk_times_in_pos_samples = self.getSpikePosIndices(spk_times)
spk_weights = np.bincount(
spk_times_in_pos_samples, minlength=self.npos)
rmap = self.RateMapMaker.getMap(spk_weights, 'dir')
if ax is None:
fig = plt.figure()
ax = fig.add_subplot(111, projection='polar')
# need to deal with the case where the axis is supplied but
# is not polar. deal with polar first
theta = np.deg2rad(rmap[1][0])
ax.clear()
r = rmap[0]
r = np.insert(r, -1, r[0])
if 'polar' in ax.name:
ax.plot(theta, r)
if 'fill' in kwargs:
ax.fill(theta, r, alpha=0.5)
ax.set_aspect('equal')
else:
pass
# See if we should add the mean resultant vector (mrv)
if 'add_mrv' in kwargs:
from ephysiopy.common.statscalcs import mean_resultant_vector
angles = self.dir[spk_times_in_pos_samples]
r, th = mean_resultant_vector(np.deg2rad(angles))
ax.plot([th, th], [0, r*np.max(rmap[0])], 'r')
if 'polar' in ax.name:
ax.set_thetagrids([0, 90, 180, 270])
return ax
def force_aspect(ax: mpl.axes, aspect: int = 1):
'''
Forces the aspect of the axes object `ax`.
'''
im = ax.get_images()
extent = im[0].get_extent()
ax.set_aspect(
abs((extent[1] - extent[0]) / (extent[3] - extent[2])) / aspect)
def makeRateMap(self, spk_times: np.array,
ax: matplotlib.axes = None) -> matplotlib.axes:
self.initialise()
spk_times_in_pos_samples = self.getSpikePosIndices(spk_times)
spk_weights = np.bincount(
spk_times_in_pos_samples, minlength=self.npos)
rmap = self.RateMapMaker.getMap(spk_weights)
ratemap = np.ma.MaskedArray(rmap[0], np.isnan(rmap[0]), copy=True)
x, y = np.meshgrid(rmap[1][1][0:-1], rmap[1][0][0:-1])
vmax = np.nanmax(np.ravel(ratemap))
if ax is None:
fig = plt.figure()
ax = fig.add_subplot(111)
ax.pcolormesh(
x, y, ratemap, cmap=plt.cm.get_cmap("jet"), edgecolors='face',
vmax=vmax, shading='auto')
ax.set_aspect('equal')
return ax
def makeSpikePathPlot(self, spk_times: np.array = None,
ax: matplotlib.axes = None,
**kwargs) -> matplotlib.axes:
self.initialise()
if 'c' in kwargs:
col = kwargs.pop('c')
else:
col = tcols.colours[1]
if ax is None:
fig = plt.figure()
ax = fig.add_subplot(111)
ax.plot(self.xy[0, :], self.xy[1, :], c=tcols.colours[0], zorder=1)
ax.set_aspect('equal')
if spk_times is not None:
idx = self.getSpikePosIndices(spk_times)
ax.plot(
self.xy[0, idx], self.xy[1, idx], 's', c=col, **kwargs)
return ax
