#
# This file is part of Hooke.
#
-# Hooke is free software: you can redistribute it and/or
-# modify it under the terms of the GNU Lesser General Public
-# License as published by the Free Software Foundation, either
-# version 3 of the License, or (at your option) any later version.
+# Hooke is free software: you can redistribute it and/or modify it
+# under the terms of the GNU Lesser General Public License as
+# published by the Free Software Foundation, either version 3 of the
+# License, or (at your option) any later version.
#
-# Hooke is distributed in the hope that it will be useful,
-# but WITHOUT ANY WARRANTY; without even the implied warranty of
-# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
-# GNU Lesser General Public License for more details.
+# Hooke is distributed in the hope that it will be useful, but WITHOUT
+# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY
+# or FITNESS FOR A PARTICULAR PURPOSE. See the GNU Lesser General
+# Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with Hooke. If not, see
help=self.__doc__, plugin=plugin)
def _run(self, hooke, inqueue, outqueue, params):
- data = params['curve'].data[int(params['block'])] # HACK, int() should be handled by ui
+ data = params['curve'].data[params['block']]
f = open(params['output'], 'w')
if params['header'] == True:
f.close()
class DifferenceCommand (Command):
- """Calculate the derivative (actually, the discrete differentiation)
- of a curve data block.
-
- See :func:`hooke.util.calculus.derivative` for implementation
- details.
+ """Calculate the difference between two blocks of data.
"""
def __init__(self, plugin):
super(DifferenceCommand, self).__init__(
help='Block B in A-B.'),
Argument(name='x column', type='int', default=0,
help="""
-Column of data block to differentiate with respect to.
+Column of data to return as x values.
""".strip()),
- Argument(name='f column', type='int', default=1,
+ Argument(name='y column', type='int', default=1,
help="""
-Column of data block to differentiate.
+Column of data block to difference.
""".strip()),
],
help=self.__doc__, plugin=plugin)
assert a[:,params['x column']] == b[:,params['x column']]
out = Data((a.shape[0],2), dtype=a.dtype)
out[:,0] = a[:,params['x column']]
- out[:,1] = a[:,params['f column']] - b[:,params['f column']]
+ out[:,1] = a[:,params['y column']] - b[:,params['y column']]
outqueue.put(out)
class DerivativeCommand (Command):
- """Calculate the difference between two blocks of data.
+ """Calculate the derivative (actually, the discrete differentiation)
+ of a curve data block.
+
+ See :func:`hooke.util.calculus.derivative` for implementation
+ details.
"""
def __init__(self, plugin):
super(DerivativeCommand, self).__init__(
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']))