Data block to act on. For an approach/retract force curve, `0`
selects the approaching curve and `1` selects the retracting curve.
""".strip()),
- Argument(name='f column', type='int', default=1,
+ Argument(name='column', type='int', default=1,
help="""
-Column of data block to differentiate with respect to.
+Column of data block containing time-series data.
""".strip()),
Argument(name='freq', type='float', default=1.0,
help="""
def _run(self, hooke, inqueue, outqueue, params):
data = params['curve'].data[params['block']]
outqueue.put(unitary_avg_power_spectrum(
- data[:,params['f column']], freq=params['freq'],
+ data[:,params['column']], freq=params['freq'],
chunk_size=params['chunk size'],
overlap=params['overlap']))