def pearsonrMccEner(rep_num, h5_path_regx, intercept=1, floor_mcc=0.35, ceil_mcc=0.65):
"""
read the hdf5 file and calculate the pearsonr correlation coefficient between mcc and energy
"""
track = loadTrack(rep_num, h5_path_regx)
if intercept == 1:
intercepted_track = interceptTrack(floor_mcc, ceil_mcc, track)
track = intercepted_track
ener, mcc = [], []
for i in track:
ener.append(i[1])
mcc.append(i[2])
if 10000 in mcc: # drop the mcc with CMCC_INVALID_VAL
print "CMCC_INVALID_VAL found in", rep_num
return np.nan, np.nan
else:
return pearsonr(mcc, ener)