ModifiedSincSmoother#

class pyopenms.ModifiedSincSmoother(*args, **kwargs)#

Bases: ProgressLogger

Modified sinc smoother for profile data. Two variants: MS (better stopband, larger kernel) and MS1 (smaller kernel). Based on Schmid, Rath & Diebold, ACS Meas. Sci. Au 2022. DefaultParamHandler ProgressLogger

__init__(self) → None#

__init__(self, isMS1: bool, degree: int, m: int) → None

Overloaded function.

__init__(self) -> None
__init__(self, isMS1: bool, degree: int, m: int) -> None

Create smoother. isMS1: true for MS1 variant (smaller kernel), false for MS variant.

Attributes

`CMD`
`GUI`
`NONE`
`bandwidthToM`
`endProgress`	Ends the progress display
`filter`	Overloaded function.
`filterExperiment`	Smooth all spectra and chromatograms in a PeakMap
`getDefaults`	Returns a copy of the default parameters
`getLogType`	Returns the type of progress log being used
`getName`	Returns the name
`getParameters`	Returns a copy of the parameters
`getSubsections`
`nextProgress`	Increment progress by 1 (according to range begin-end)
`noiseGainToM`
`savitzkyGolayBandwidth`
`setLogType`	Sets the progress log that should be used.
`setName`	Sets the name
`setParameters`	Sets the parameters
`setProgress`	Sets the current progress
`smooth`	Smooth a vector of intensity values, returns smoothed vector
`startProgress`

CMD = 0#

GUI = 1#

class LogType(*values)#

Bases: IntEnum

Enum for progress logging output type

CMD = 0#

GUI = 1#

NONE = 2#

as_integer_ratio()#

Return a pair of integers, whose ratio is equal to the original int.

The ratio is in lowest terms and has a positive denominator.

>>> (10).as_integer_ratio()
(10, 1)
>>> (-10).as_integer_ratio()
(-10, 1)
>>> (0).as_integer_ratio()
(0, 1)

bit_count()#

Number of ones in the binary representation of the absolute value of self.

Also known as the population count.

>>> bin(13)
'0b1101'
>>> (13).bit_count()
3

bit_length()#

Number of bits necessary to represent self in binary.

>>> bin(37)
'0b100101'
>>> (37).bit_length()
6

conjugate()#: Returns self, the complex conjugate of any int.

denominator#: the denominator of a rational number in lowest terms

classmethod from_bytes(bytes, byteorder='big', *, signed=False)#

Return the integer represented by the given array of bytes.

bytes: Holds the array of bytes to convert. The argument must either support the buffer protocol or be an iterable object producing bytes. Bytes and bytearray are examples of built-in objects that support the buffer protocol.
byteorder: The byte order used to represent the integer. If byteorder is ‘big’, the most significant byte is at the beginning of the byte array. If byteorder is ‘little’, the most significant byte is at the end of the byte array. To request the native byte order of the host system, use sys.byteorder as the byte order value. Default is to use ‘big’.
signed: Indicates whether two’s complement is used to represent the integer.

getMapping()#: Returns a dict mapping int values to enum member name strings.

imag#: the imaginary part of a complex number

is_integer()#: Returns True. Exists for duck type compatibility with float.is_integer.

numerator#: the numerator of a rational number in lowest terms

real#: the real part of a complex number

to_bytes(length=1, byteorder='big', *, signed=False)#

Return an array of bytes representing an integer.

length: Length of bytes object to use. An OverflowError is raised if the integer is not representable with the given number of bytes. Default is length 1.
byteorder: The byte order used to represent the integer. If byteorder is ‘big’, the most significant byte is at the beginning of the byte array. If byteorder is ‘little’, the most significant byte is at the end of the byte array. To request the native byte order of the host system, use sys.byteorder as the byte order value. Default is to use ‘big’.
signed: Determines whether two’s complement is used to represent the integer. If signed is False and a negative integer is given, an OverflowError is raised.

NONE = 2#

bandwidthToM = <nanobind.nb_func object>#

endProgress#: Ends the progress display

filter#

Overloaded function.

filter(self, spectrum: pyopenms._pyopenms_spectrum.MSSpectrum) -> None

Smooth an MSSpectrum in-place

filter(self, chromatogram: pyopenms._pyopenms_chromatogram.MSChromatogram) -> None

Smooth an MSChromatogram in-place

filter(self, mobilogram: pyopenms._pyopenms_kernel.Mobilogram) -> None

Smooth a Mobilogram in-place

filterExperiment#: Smooth all spectra and chromatograms in a PeakMap

getDefaults#: Returns a copy of the default parameters

getLogType#: Returns the type of progress log being used

getName#: Returns the name

getParameters#: Returns a copy of the parameters

getSubsections#

nextProgress#: Increment progress by 1 (according to range begin-end)

noiseGainToM = <nanobind.nb_func object>#

savitzkyGolayBandwidth = <nanobind.nb_func object>#

setLogType#: Sets the progress log that should be used. The default type is NONE!

setName#: Sets the name

setParameters#: Sets the parameters

setProgress#: Sets the current progress

smooth#: Smooth a vector of intensity values, returns smoothed vector

startProgress#