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