def dashboard(self, cell, n_trials=None):
"""Show cell dashboard:
** Extra parameters **:
* n_trials (int) -- number of trials (stimuli) to plot (default all)
"""
if n_trials:
n_trials = int(n_trials)
ev = self.root.h5filter.get_cached_string(cell, "events")
if ev is not None:
ev = np.asarray(ev)
plt.clf()
dashboard.show_cell(self.io_filter, cell, n_trials=n_trials,
events=ev)
#!/usr/bin/env python
#coding=utf-8
import numpy as np
import matplotlib.pyplot as plt
import sys
from spike_analysis import dashboard
from spike_sort.io.filters import BakerlabFilter
if __name__ == "__main__":
cell = "/Gollum/s39gollum03/el1/cell1"
filter = BakerlabFilter("../../data/gollum_export.inf")
dashboard.show_cell(filter, cell)
plt.show()
#!/usr/bin/env python
#coding=utf-8
import numpy as np
import matplotlib.pyplot as plt
import sys
from spike_analysis import dashboard
from spike_sort.io.filters import BakerlabFilter
if __name__ == "__main__":
cell = "/Gollum/s39gollum03/el1/cell1"
filter = BakerlabFilter("../../data/gollum_export.inf")
dashboard.show_cell(filter, cell)
plt.show()
