In [2]:
df = ei.to_pandas(channels[1].subchannels[0], time_mode='seconds')
df
Out[2]:
X (40g)
timestamp
0.318023 0.921809
0.320070 0.923603
0.322116 0.923603
0.324163 0.925319
0.326210 0.923525
... ...
30.227806 0.921263
30.229792 0.921029
30.231777 0.920483
30.233763 0.921653
30.235748 0.920639

15070 rows × 1 columns