terapy.filters package

Submodules

terapy.filters.apodization module

Apodization window

class terapy.filters.apodization.ApodizationWindow

Bases: terapy.filters.base.Filter

Apodization window

apply_filter(array)

dim = 1

get_icon()

set_filter(parent=None)

class terapy.filters.apodization.WindowSelectionDialog(parent=None, title='Apodization window', wlist=[], sel=0, custom='')

Bases: wx._windows.Dialog

GetValue()

onWindowSelect(event=None)

terapy.filters.base module

Generic post-processing filter class

class terapy.filters.base.Filter

Generic post-processing filter class

Properties:

__extname__ - long name (str) dim - dimension of data that this filter can treat (int)

apply_filter(array)

Apply filter to given array.

Parameters:

array - data array (DataArray)

dim = -1

get_icon()

Return filter icon.

Output:

16x16 icon (wx.Bitmap)

get_units(units)

Compute units of array coordinates and data after processsing.

Parameters:

units - list of units (list of quantities)

Output:

list of units (list of quantities)

set_filter(parent=None)

Set filter properties.

Parameters:

parent - parent window (wx.Window)

Output:

True (success) / False (failure/cancellation)

terapy.filters.centering module

Center maximum value by zero-padding

class terapy.filters.centering.Centering

Bases: terapy.filters.base.Filter

Center maximum value by zero-padding

apply_filter(array)

dim = 1

get_icon()

terapy.filters.control module

Filter bank control widget

class terapy.filters.control.FilterControl(parent=None, dim=1)

Bases: wx._windows.Panel

Filter bank control widget

EnableControl(inst)

Set control to given state (through pubsub)

Parameters:

inst - pubsub event data (bool)

LoadFilterList(event=None, fname='')

Load filter bank from given file or open dialog box. Set result to displayed filter bank.

Parameters:

event - wx.Event fname - file name (str, open dialog box if empty)

OnAddFilter(ft, event=None)

Add given filter to current filter bank.

Parameters:

ft - filter (Filter) event - wx.Event

OnEnableFilter(pos)

Enable/Disable filter at given position.

Parameters:

pos - position (int)

OnEndDrag(x, y, data)

Actions after a drag and drop event.

Parameters:

x,y - drop position (int) data - dropped data (str)

not used - assume instead that selected list item has been dragged

OnFilterDoubleClick(event=None)

Actions triggered by left double click on filter list.

Parameters:

event - wx.Event

OnFilterLeftClick(event=None)

Actions triggered by left mouse button click on filter list.

Parameters:

event - wx.Event

OnFilterListRightClick(event=None)

Actions following a right mouse button click.

Parameters:

event - wx.Event

OnFilterUpdate(inst=None)

Actions triggered by changes in filter bank.

Parameters:

inst - pubsub event data or wx.Event

OnMove(disp)

Move selected filter by given amount within list.

Parameters:

disp - displacement (int)

OnRemoveFilter(event=None)

Actions following a filter delete request

Parameters:

event - wx.Event

OnStartDrag(event=None)

Actions initiating a drag and drop event.

Parameters:

event - wx.Event

RefreshFilters(inst=None)

Refresh displayed filter list.

Parameters:

inst - pubsub event data (FilterBank)

RemoveReference(inst=None)

Remove reference filter, is any.

Parameters:

inst - pubsub event data

SaveFilterList(event=None, fname='')

Save current filter list to given file.

Parameters:

event - wx.Event fname - file name (str)

SetFilterBank(inst)

Set filter bank through pubsub.

Parameters:

inst - pubsub event data (FilterBank)

SetReference(inst)

Set given array as reference.

Parameters:

inst - data array (DataArray)

or pubsub event data

UpdateFilterDisplay(inst=None)

Update display of apodization window.

Parameters:

inst - pubsub event data

class terapy.filters.control.FilterList(parent, id=-1, pos=wx.Point(-1, -1), size=wx.Size(-1, -1), style=4, validator=<wx._core.Validator; proxy of <Swig Object of type 'wxValidator *' at 0x103542368> >, name=u'listCtrl')

Bases: wx._controls.ListCtrl, wx.lib.mixins.listctrl.ListCtrlAutoWidthMixin

Listbox with auto width mixin

terapy.filters.ft module

Fourier transform

class terapy.filters.ft.FourierTransform

Bases: terapy.filters.base.Filter

Fourier transform

apply_filter(array)

dim = 1

get_icon()

get_units(units)

terapy.filters.harminv module

Harmonic inversion Adapted from Harminv: http://ab-initio.mit.edu/wiki/index.php/Harminv

class terapy.filters.harminv.Harminv

Bases: terapy.filters.base.Filter

Harmonic inversion Adapted from Harminv: http://ab-initio.mit.edu/wiki/index.php/Harminv

apply_filter(array)

dim = 1

get_icon()

set_filter(parent=None)

class terapy.filters.harminv.HarminvDialog(parent=None, title='Harmonic inversion settings', nf=100)

Bases: wx._windows.Dialog

GetValue()

class terapy.filters.harminv.HarminvFilter(signal=[], dt=0.1, fmin=0.0, fmax=10, nf=100)

compute_amplitudes()

compute_frequency_errors()

generate_U(U, U1, p, z, z2, store_G=False)

get_Q(k)

get_amplitude(k)

get_decay(k)

get_freq(k)

get_freq_error(k)

get_omega(k)

harminv_solve_again(ok, ok_d)

harminv_solve_once()

init_z()

isort(criterion=0)

mode_ok(k, ok_d)

run()

solve_eigenvects(A0)

solve_ok_modes(ok, ok_d)

u_near_unity(u, n)

class terapy.filters.harminv.mode_ok_data(fmin=0.0, fmax=1.0)

terapy.filters.highpass module

High pass filter

class terapy.filters.highpass.HighPass

Bases: terapy.filters.base.Filter

High pass filter

apply_filter(array)

dim = 1

get_icon()

set_filter(parent=None)

terapy.filters.lombscargle module

Lomb-Scargle filter

class terapy.filters.lombscargle.LombScargle

Bases: terapy.filters.base.Filter

Lomb-Scargle filter

apply_filter(array)

dim = 1

get_icon()

get_units(units)

terapy.filters.lowpass module

Low pass filter

class terapy.filters.lowpass.BandpassFilterSelectionDialog(parent=None, title='', wlist=[], sel=0, custom='', sz=0, relative=True, position=25)

Bases: wx._windows.Dialog

GetValue()

onPositionChange(event=None)

onRelativeCheck(event=None)

onSizeChange(event=None)

onWindowSelect(event=None)

class terapy.filters.lowpass.LowPass

Bases: terapy.filters.base.Filter

Low pass filter

apply_filter(array)

dim = 1

get_icon()

set_filter(parent=None)

terapy.filters.multiply module

Multiply by factor

class terapy.filters.multiply.Multiply

Bases: terapy.filters.base.Filter

Multiply by factor

apply_filter(array)

dim = 1

get_icon()

set_filter(parent=None)

terapy.filters.normalize module

Normalize with reference

class terapy.filters.normalize.Normalize

Bases: terapy.filters.base.Filter

Normalize with reference

apply_filter(array)

dim = 1

get_icon()

set_arrays(inst)

set_filter(parent=None)

class terapy.filters.normalize.ReferenceSelectionDialog(parent=None, title='Reference measurement', reflist=[], sel=0, isel=1)

Bases: wx._windows.Dialog

GetValue()

terapy.filters.offset module

Offset correction

class terapy.filters.offset.Offset

Bases: terapy.filters.base.Filter

Offset correction

apply_filter(array)

dim = 1

get_icon()

set_filter(parent=None)

class terapy.filters.offset.OffsetDialog(parent=None, title='Offset correction', position=0.0, width=0.1)

Bases: wx._windows.Dialog

GetValue()

terapy.filters.power module

Raise to power n

class terapy.filters.power.Power

Bases: terapy.filters.base.Filter

Raise to power n

apply_filter(array)

dim = 1

get_icon()

set_filter(parent=None)

terapy.filters.sgolay module

Savitzky-Golay smoothing Adapted from http://wiki.scipy.org/Cookbook/SavitzkyGolay

class terapy.filters.sgolay.SGSmoothingSelectionDialog(parent=None, title='Savitzky-Golay smoothing', sz=11, order=5)

Bases: wx._windows.Dialog

GetValue()

OnFilterChange(event=None)

class terapy.filters.sgolay.SavitzkyGolay

Bases: terapy.filters.base.Filter

Savitzky-Golay smoothing Adapted from http://wiki.scipy.org/Cookbook/SavitzkyGolay

apply_filter(array)

dim = 1

get_icon()

set_filter(parent=None)

terapy.filters.usampling module

Uniform resampling

class terapy.filters.usampling.ResamplingSelectionDialog(parent=None, title='Interpolation method', sel=1)

Bases: wx._windows.Dialog

GetValue()

class terapy.filters.usampling.UniformSampling

Bases: terapy.filters.base.Filter

Uniform resampling

apply_filter(array)

dim = 1

get_icon()

set_filter(parent=None)

terapy.filters.welch module

Welch periodogram

class terapy.filters.welch.Welch

Bases: terapy.filters.base.Filter

Welch periodogram

apply_filter(array)

dim = 1

get_icon()

get_units(units)

set_filter(parent=None)

class terapy.filters.welch.WelchSelectionDialog(parent=None, title='Welch periodogram', wlist=[], val_length=20, val_overlap=50, sel_window=0, sel_qty=0)

Bases: wx._windows.Dialog

GetValue()

onChangeLength(event=None)

terapy.filters.wldenoise module

Wavelet denoising

class terapy.filters.wldenoise.WaveletDenoise

Bases: terapy.filters.base.Filter

Wavelet denoising

apply_filter(array)

dim = 1

get_icon()

set_filter(parent=None)

class terapy.filters.wldenoise.WaveletSelectionDialog(parent=None, title='Wavelet denoising', wlist=[], sel=0, thresh=0, atr=True, trval=0.1)

Bases: wx._windows.Dialog

GetValue()

onAutoThreshold(event=None)

terapy.filters.zeropadding module

Zero padding

class terapy.filters.zeropadding.ZeroPadding

Bases: terapy.filters.base.Filter

Zero padding

apply_filter(array)

dim = 1

get_icon()

Module contents

Post-processing filter functions

Properties:

modules - list of available filters

Each filter must be implemented as a Filter class (see base.py). Filter classes contained in Python scripts within this folder will be automatically recognized and added to filter list.

class terapy.filters.FilterBank(parent=None, children=[], filters=[], name='Filter bank', dim=1)

Filter bank class

AppendFilter(ft)

Append given filter at the end of the filter list.

Parameters:

ft - filter (Filter)

ApplyFilters(array)

Apply filter bank to given data array.

Parameters:

array - data array (DataArray)

ComputeReference(inst)

Compute reference from given data if reference filter exists.

Parameters:

inst - array (DataArray)

or pubsub event data (DataArray)

DefaultFilters()

Set default filters from default filter file.

GetReferenceFilter()

Return reference filter, if any.

Output:

reference filter (Filter) or None

GetUnits(units)

Return how given physical units are modified by filter bank

Parameters:

units - list of dim+1 units

Output:

units of coordinates and data after processing (list of quantities)

HasReference()

Tell if filter bank has reference filter.

Output:

True/False

InsertFilter(pos, ft)

Insert given filter at given position.

Parameters:

pos - position (int) ft - filter (Filter)

LoadFilterList(fname)

Load filter list from given file.

Parameters:

fname - file name (str)

Output:

list of filters (list of Filter)

RecomputeReference()

Recompute reference data for reference filter, if any.

RemoveFilter(pos)

Remove filter in given position.

Parameters:

pos - position (int)

RemoveReference(inst=None)

Remove reference filter.

Parameters:

inst - pubsub event data

SaveFilterList(fname)

Save current filter list to given file.

Parameters:

fname - file name (str)

terapy.filters.GetFilterFiles(dim=1)

Get saved filter banks for given dimension.

Parameters:

dim - dimension (int)

Output:

list of filter bank files (list of str)

terapy.filters.GetModules(dim=1)

Get modules for a given dimension.

Parameters:

dim - dimension (int)

Output:

list of filters (list of Filter)