|
lfilter(b,
a,
x,
axis=-1,
zi=None)
Filter data along one-dimension with an IIR or FIR filter. |
|
|
|
butter(N,
Wn,
btype=' low ' ,
analog=0,
output=' ba ' )
Butterworth digital and analog filter design. |
|
|
|
|
|
|
|
|
|
|
|
|
|
pca_dim(pca,
covering,
data,
refpt,
tol=0.8) |
source code
|
|
|
|
|
plot_PCA_residuals(data,
D=None,
newfig=True,
marker=' o ' ,
silent=False) |
source code
|
|
|
|
|
log_distances(m,
sampleix=0,
doplot=True,
quiet=True,
logv=None,
plotstyle=None,
return_ixs=False)
Log distances (L2-norm) of data points from a reference point
(sampleix). |
source code
|
|
|
|
|
rectify(xa,
full=False)
Half-wave (default) or full-wave signal rectification: specify using
optional full Boolean flag. |
source code
|
|
|
get_linear_regression_residual(pfit,
x,
y,
weight='
' ,
w=0)
Also see scipy.stat.linregress for a more sophisticated version |
source code
|
|
|
fitline(x,
y,
lo=0,
hi=1,
doplot=True,
quiet=True,
linewidth=2)
fitline takes the position of low and high fit limits and returns the
slope. |
source code
|
|
|
find_closest_val(x,
a,
eps=1e-07,
which_norm=2)
Find one value in a closer than eps to x |
source code
|
|
|
find_nearby_ball(data,
refix,
r,
which_norm=2,
include_ref=False)
Return indices of all points in data that are inside a ball of radius
r from the reference point (not included). |
source code
|
|
|
find_nearby_annulus(data,
refix,
rlo,
rhi,
which_norm=2)
Return a list containing input data's indices of all neighbours of
the reference point within the range of distances d such that dlo
< d < dhi |
source code
|
|
|
|
|
find_recurrences(data,
refix,
r,
times=None,
ignore_small=0,
which_norm=2)
Find recurrences of a trajectory in a ball of radius r centred at the
reference point given by refix in data. |
source code
|
|
|
find_diameter(data,
eps,
which_norm=2)
Find approximate diameter of data set, up to tolerance defined by eps
> 0. |
source code
|
|
|
dist_between_datasets(data1,
data2,
which_norm=2) |
source code
|
|
|
out_of_seq(a,
inc_only=False)
Determine if and where an integer array a is not increasing or
decreasing in sequence by 1. |
source code
|
|
|
whiten(data)
Subtract mean and divide by standard deviation in each column of data |
source code
|
|
|
find_knees(data,
tol=1.0,
inlog=False,
verbose=False)
Find one or more 'knees' in data, according to high second
derivatives. |
source code
|
|
|
recurrence_times(ts,
partitions)
Internal function for use by find_recurrences |
source code
|
|
|
find_from_sorted(x,
v,
next_largest=1,
indices=None) |
source code
|
|
|
colormap(mag,
cmin,
cmax)
Return a tuple of floats between 0 and 1 for the red, green and blue
amplitudes. |
source code
|
|
|
dump_progress(x,
tot,
filename=' progress_info.dat ' )
Send progress report to a file |
source code
|
|
|
second_diff(data,
i)
Naive second difference formula at position i of data |
source code
|
|
|
|
|
_num_types = ( <type 'float'>, <type 'int'>, <type 'numpy.float...
|
|
_int_types = ( <type 'int'>, <type 'numpy.integer'>)
|
|
_seq_types = ( <type 'list'>, <type 'tuple'>, <type 'numpy.ndar...
|
|
newaxis = None
|
|
r_ = <numpy.lib.index_tricks.RClass object at 0x115c2f0>
|
|
ver = [ ' 0 ' , ' 99 ' , ' 0 ' ]
|
|
failed = False
|
|
rcParamsDefault = {'figure.subplot.right': 0.90000000000000002...
|
|
isfinite = <ufunc 'isfinite'>
|
|
Inf = inf
|
|
NaN = nan
|
|
colorbar_doc = ' \n\nAdd a colorbar to a plot.\n\nFunction sign ...
|
|
rcParams = {'figure.subplot.right': 0.90000000000000002, 'math...
|
|
_PCA_utils = [ ' doPCA ' , ' get_evec ' , ' pca_dim ' , ' get_residual ' , ...
|
|
_metric_utils = [ ' log_distances ' , ' log_distances_with_D ' ]
|
|
_analysis_utils = [ ' find_knees ' , ' whiten ' , ' find_closest_val ' , ...
|
|
_fit_utils = [ ' get_linear_regression_residual ' , ' fitline ' ]
|
|
_filter_utils = [ ' lfilter_zi ' , ' filtfilt ' , ' lfilter ' , ' butter ' ...
|
|
dict_tol = array([ 1.00000000e-08])
|