Read QMS data

Read and plot

from aklab.qulee import QMS
qms = QMS('../../../data/S1_210208_131938.CSV')
qms.plot()

Data format

Data is formatted as in this example. .iloc[:,:8] is used to reduce the output table size.

fmt = {i:'{:.1e}' for i in qms.data.keys()[4:]}
fmt['date'] = lambda t: t.strftime("%y%m%d %H:%M:%S")
qms.data.head(5).iloc[:,:8].style.format(fmt,precision=2)

	date	tsec	No	Time	Trigger	analog2	qmsTP	m2
0	210208 13:19:38	0.00	1	000:00:00.000	1.0e-08	1.0e-99	7.1e-03	2.3e-10
1	210208 13:19:38	0.30	2	000:00:00.296	1.0e-08	1.0e-99	7.0e-03	2.3e-10
2	210208 13:19:38	0.61	3	000:00:00.609	1.0e-08	1.0e-99	7.0e-03	2.3e-10
3	210208 13:19:38	0.92	4	000:00:00.921	1.0e-08	1.0e-99	6.9e-03	2.3e-10
4	210208 13:19:39	1.23	5	000:00:01.234	1.0e-08	1.0e-99	6.9e-03	2.3e-10

Slice

Use slice() to get a portion of the data.

from datetime import datetime as dt
sliced = qms.slice([dt(2021,2,8,13,19,40),dt(2021,2,8,13,19,41)])
sliced.iloc[:,:8].style.format(fmt,precision=2)

	date	tsec	No	Time	Trigger	analog2	qmsTP	m2
7	210208 13:19:40	2.17	8	000:00:02.171	1.0e-08	1.0e-99	6.8e-03	2.2e-10
8	210208 13:19:40	2.48	9	000:00:02.484	1.0e-08	1.0e-99	6.8e-03	2.2e-10
9	210208 13:19:40	2.80	10	000:00:02.796	1.0e-08	1.0e-99	6.7e-03	2.2e-10