FloatDataArray

class pyopenms.FloatDataArray

Bases: object

Cython implementation of _FloatDataArray

Documentation is available at http://www.openms.de/current_doxygen/html/classOpenMS::DataArrays_1_1FloatDataArray.html

– Inherits from [‘MetaInfoDescription’]

The representation of extra float data attached to a spectrum or chromatogram. Raw data access is proved by get_peaks and set_peaks, which yields numpy arrays

__init__()

Cython signature: void FloatDataArray()
Cython signature: void FloatDataArray(FloatDataArray &)

Methods

`__init__`	Cython signature: void FloatDataArray()
`clear`	Cython signature: void clear()
`clearMetaInfo`	Cython signature: void clearMetaInfo() Removes all meta values
`getDataProcessing`	Cython signature: libcpp_vector[shared_ptr[DataProcessing]] getDataProcessing() Returns a reference to the description of the applied processing
`getKeys`	Cython signature: void getKeys(libcpp_vector[String] & keys) Fills the given vector with a list of all keys for which a value is set
`getMetaValue`	Cython signature: DataValue getMetaValue(String) Returns the value corresponding to a string, or
`getName`	Cython signature: String getName() Returns the name of the peak annotations
`get_data`	Gets the raw data for the float data array
`isMetaEmpty`	Cython signature: bool isMetaEmpty() Returns if the MetaInfo is empty
`metaRegistry`	Cython signature: MetaInfoRegistry metaRegistry() Returns a reference to the MetaInfoRegistry
`metaValueExists`	Cython signature: bool metaValueExists(String) Returns whether an entry with the given name exists
`push_back`	Cython signature: void push_back(float)
`removeMetaValue`	Cython signature: void removeMetaValue(String) Removes the DataValue corresponding to name if it exists
`reserve`	Cython signature: void reserve(size_t n)
`resize`	Cython signature: void resize(size_t n)
`setDataProcessing`	Cython signature: void setDataProcessing(libcpp_vector[shared_ptr[DataProcessing]]) Sets the description of the applied processing
`setMetaValue`	Cython signature: void setMetaValue(String, DataValue) Sets the DataValue corresponding to a name
`setName`	Cython signature: void setName(String name) Sets the name of the peak annotations
`set_data`	Sets the raw data for the float data array
`size`	Cython signature: size_t size()

clear(): Cython signature: void clear()

clearMetaInfo(): Cython signature: void clearMetaInfo() Removes all meta values

getDataProcessing(): Cython signature: libcpp_vector[shared_ptr[DataProcessing]] getDataProcessing() Returns a reference to the description of the applied processing

getKeys(): Cython signature: void getKeys(libcpp_vector[String] & keys) Fills the given vector with a list of all keys for which a value is set

getMetaValue(): Cython signature: DataValue getMetaValue(String) Returns the value corresponding to a string, or

getName(): Cython signature: String getName() Returns the name of the peak annotations

get_data()

Gets the raw data for the float data array

Example usage:

fd = pyopenms.FloatDataArray() data = fd.get_data()

isMetaEmpty(): Cython signature: bool isMetaEmpty() Returns if the MetaInfo is empty

metaRegistry(): Cython signature: MetaInfoRegistry metaRegistry() Returns a reference to the MetaInfoRegistry

metaValueExists(): Cython signature: bool metaValueExists(String) Returns whether an entry with the given name exists

push_back(): Cython signature: void push_back(float)

removeMetaValue(): Cython signature: void removeMetaValue(String) Removes the DataValue corresponding to name if it exists

reserve(): Cython signature: void reserve(size_t n)

resize(): Cython signature: void resize(size_t n)

setDataProcessing(): Cython signature: void setDataProcessing(libcpp_vector[shared_ptr[DataProcessing]]) Sets the description of the applied processing

setMetaValue(): Cython signature: void setMetaValue(String, DataValue) Sets the DataValue corresponding to a name

setName(): Cython signature: void setName(String name) Sets the name of the peak annotations

set_data()

Sets the raw data for the float data array

Example usage:

fd = pyopenms.FloatDataArray() data = numpy.array( [1, 2, 3, 5 ,6] ).astype(numpy.float32) fd.set_data(data)

size(): Cython signature: size_t size()