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Docstring fixes and cleanup #107

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merged 2 commits into from
Jul 29, 2019
Merged

Docstring fixes and cleanup #107

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53f466e
Fix parameter names in some docstrings
andreasdoll Jul 29, 2019
668b06a
Remove two unused variables
andreasdoll Jul 29, 2019
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4 changes: 2 additions & 2 deletions nmrglue/process/proc_autophase.py
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Original file line number Diff line number Diff line change
Expand Up @@ -57,7 +57,7 @@ def _ps_acme_score(ph, data):

Parameters
----------
pd : tuple
ph : tuple
Current p0 and p1 values
data : ndarray
Array of NMR data.
Expand Down Expand Up @@ -108,7 +108,7 @@ def _ps_peak_minima_score(ph, data):

Parameters
----------
pd : tuple
ph : tuple
Current p0 and p1 values
data : ndarray
Array of NMR data.
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10 changes: 4 additions & 6 deletions nmrglue/process/proc_lp.py
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Expand Up @@ -50,8 +50,8 @@ def lp(data, pred=1, slice=slice(None), order=8, mode="f", append="after",
mode : {'f', 'b', 'fb' or 'bf'}
Mode to generate LP filter. 'f' for forward,'b' for backward, fb for
'forward-backward and 'bf' for backward-forward.
extend : {'before', 'after'}
Location to extend the data, either 'before' the current data, or
append : {'before', 'after'}
Location to append the data, either 'before' the current data, or
'after' the existing data. This is independent of the `mode` parameter.
bad_roots : {'incr', 'decr', None, 'auto'}
Type of roots which to consider bad and to stabilize. Option are those
Expand Down Expand Up @@ -182,8 +182,8 @@ def lp_1d(trace, pred=1, slice=slice(None), order=8, mode="f", append="after",
mode : {'f', 'b', 'fb' or 'bf'}
Mode to generate LP filter. 'f' for forward,'b' for backward, fb for
'forward-backward and 'bf' for backward-forward.
extend : {'before', 'after'}
Location to extend the data, either 'before' the current data, or
append : {'before', 'after'}
Location to append the data, either 'before' the current data, or
'after' the existing data. This is independent of the `mode` parameter.
bad_roots : {'incr', 'decr', None, 'auto'}
Type of roots which to consider bad and to stabilize. Option are those
Expand Down Expand Up @@ -833,8 +833,6 @@ def find_lpc_qr(D, d):
"""
Find linear prediction filter using QR decomposition.
"""
L = D.shape[0]
m = D.shape[1]
q, r = scipy.linalg.qr(D)
q, r = np.mat(q), np.mat(r)

Expand Down