PeakPickerIterative
- class pyopenms.PeakPickerIterative
Bases:
objectCython implementation of _PeakPickerIterative
- Original C++ documentation is available here
– Inherits from [‘DefaultParamHandler’, ‘ProgressLogger’]
- __init__()
Overload:
- __init__(self) None
Overload:
- __init__(self, in_0: PeakPickerIterative) None
Methods
Overload:
endProgress(self)Ends the progress display
getDefaults(self)Returns the default parameters
getLogType(self)Returns the type of progress log being used
getName(self)Returns the name
getParameters(self)Returns the parameters
getSubsections(self)nextProgress(self)Increment progress by 1 (according to range begin-end)
pick(self, input, output)This will pick one single spectrum.
pickExperiment(self, input, output)setLogType(self, in_0)Sets the progress log that should be used.
setName(self, in_0)Sets the name
setParameters(self, param)Sets the parameters
setProgress(self, value)Sets the current progress
startProgress(self, begin, end, label)- endProgress(self) None
Ends the progress display
- getLogType(self) int
Returns the type of progress log being used
- getSubsections(self) List[bytes]
- nextProgress(self) None
Increment progress by 1 (according to range begin-end)
- pick(self, input: MSSpectrum, output: MSSpectrum) None
This will pick one single spectrum. The PeakPickerHiRes is used to generate seeds, these seeds are then used to re-center the mass and compute peak width and integrated intensity of the peak
Finally, other peaks that would fall within the primary peak are discarded
The output are the remaining peaks
- pickExperiment(self, input: MSExperiment, output: MSExperiment) None
- setLogType(self, in_0: int) None
Sets the progress log that should be used. The default type is NONE!
- setProgress(self, value: int) None
Sets the current progress