LinearResampler#
- class pyopenms.LinearResampler#
Bases:
objectCython implementation of _LinearResampler
- Original C++ documentation is available here
– Inherits from [‘DefaultParamHandler’, ‘ProgressLogger’]
- __init__()#
Overload:
- __init__(self) None
Overload:
- __init__(self, in_0: LinearResampler) 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)
raster(self, input)Applies the resampling algorithm to an MSSpectrum
rasterExperiment(self, input)Resamples the data in an MSExperiment
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)
- raster(self, input: MSSpectrum) None#
Applies the resampling algorithm to an MSSpectrum
- rasterExperiment(self, input: MSExperiment) None#
Resamples the data in an MSExperiment
- 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