figPath = os.path.join(expPath, "%s_%s.png" % (trialDm["file"][0], \
str(trialDm["trialId"][0])))
plt.savefig(figPath)
#plt.show()
plt.clf()
pylab.close()
#raw_input()
if __name__ == "__main__":
f = ".cache/dm_sim_select_driftcorr.npy"
dm = DataMatrix(np.load(f))
dm = dm.select("gap == 'zero'")
for i in dm.range():
#if dm["stim_name"][i] != "hammer":
# continue
#if dm["stim_type"][i] != "object":
# continue
#if dm["mask_side"][i] != "control":
# continue
# Save 1 in 40 trials:
#if i % 100 != 99:
# continue
trialDm = dm[i]
debugPlot(trialDm)
