mspasspy.ccore
utility
A submodule for utility namespace of ccore
- class mspasspy.ccore.utility.AntelopePf
Bases:
Metadata
- ConvertToMetadata(self: mspasspy.ccore.utility.AntelopePf) mspasspy.ccore.utility.Metadata
Convert to a flat Metadata space (no branches)
- arr_keys(self: mspasspy.ccore.utility.AntelopePf) List[str]
Return a list of all branch (&Arr) keys
- get_branch(self: mspasspy.ccore.utility.AntelopePf, arg0: str) mspasspy.ccore.utility.AntelopePf
Fetch contents of a block of the pf defined by an Arr&
- get_tbl(self: mspasspy.ccore.utility.AntelopePf, arg0: str) List[str]
Fetch contents of a block of the pf file defined by Tbl&
- tbl_keys(self: mspasspy.ccore.utility.AntelopePf) List[str]
Fetch a list of keys for all &Tbl blocks
- todict()
Converts a AntelopePf object to a Python dict. This converts a AntelopePf object to a Python dict by recursively decoding the tbls. :param pf: AntelopePf object to convert. :type md:
AntelopePf
:return: Python dict equivalent to md. :rtype: dict
- class mspasspy.ccore.utility.AtomicType
Bases:
pybind11_object
Members:
TIMESERIES
SEISMOGRAM
UNDEFINED
- SEISMOGRAM = <AtomicType.SEISMOGRAM: 0>
- TIMESERIES = <AtomicType.TIMESERIES: 1>
- UNDEFINED = <AtomicType.UNDEFINED: 2>
- property name
- property value
- class mspasspy.ccore.utility.BasicMetadata
Bases:
pybind11_object
- class mspasspy.ccore.utility.BasicProcessingHistory
Bases:
pybind11_object
Base class - hold job history data
- jobid(self: mspasspy.ccore.utility.BasicProcessingHistory) str
Return job id string
- jobname(self: mspasspy.ccore.utility.BasicProcessingHistory) str
Return job name string defining main python script driving this processing chain
- set_jobid(self: mspasspy.ccore.utility.BasicProcessingHistory, arg0: str) None
Set a unique id so jobname + id is unique
- set_jobname(self: mspasspy.ccore.utility.BasicProcessingHistory, arg0: str) None
Set the base job name defining the main python script for this run
- class mspasspy.ccore.utility.ErrorLogger
Bases:
pybind11_object
Used to post any nonfatal errors without aborting a program of family of parallel programs
- clear(self: mspasspy.ccore.utility.ErrorLogger) None
Reset log container to zero length destroying any current content
- get_error_log(self: mspasspy.ccore.utility.ErrorLogger) List[mspasspy.ccore.utility.LogData]
Return all posted entries
- get_job_id(self: mspasspy.ccore.utility.ErrorLogger) int
- log_error(*args, **kwargs)
Overloaded function.
log_error(self: mspasspy.ccore.utility.ErrorLogger, arg0: object) -> None
log error thrown as MsPASSError
log_error(self: mspasspy.ccore.utility.ErrorLogger, arg0: str, arg1: str, arg2: mspasspy.ccore.utility.ErrorSeverity) -> int
log a message at a specified severity level
- log_verbose(self: mspasspy.ccore.utility.ErrorLogger, arg0: str, arg1: str) int
Log an informational message - tagged as log message
- set_job_id(self: mspasspy.ccore.utility.ErrorLogger, arg0: int) None
- size(self: mspasspy.ccore.utility.ErrorLogger) int
Return number of entries in this log
- worst_errors(self: mspasspy.ccore.utility.ErrorLogger) List[mspasspy.ccore.utility.LogData]
Return a list of only the worst errors
- class mspasspy.ccore.utility.ErrorSeverity
Bases:
pybind11_object
Members:
Fatal
Invalid
Suspect
Complaint
Debug
Informational
- Complaint = <ErrorSeverity.Complaint: 3>
- Debug = <ErrorSeverity.Debug: 4>
- Fatal = <ErrorSeverity.Fatal: 0>
- Informational = <ErrorSeverity.Informational: 5>
- Invalid = <ErrorSeverity.Invalid: 1>
- Suspect = <ErrorSeverity.Suspect: 2>
- property name
- property value
- class mspasspy.ccore.utility.LogData
Bases:
pybind11_object
Many mspass create error and log messages with this structure
- property algorithm
Return the algorithm of the procedure that threw the defined message
- property badness
Return a error level code
- property job_id
Return the job id defined for this log message
- property message
Return the actual posted message
- property p_id
Return the process id of the procedure that threw the defined message
- class mspasspy.ccore.utility.MDDefFormat
Bases:
pybind11_object
Members:
PF
YAML
- PF = <MDDefFormat.PF: 0>
- YAML = <MDDefFormat.YAML: 1>
- property name
- property value
- class mspasspy.ccore.utility.MDtype
Bases:
pybind11_object
Members:
Real
Real32
Double
Real64
Integer
Int32
Long
Int64
String
Boolean
Double_Array
Invalid
- Boolean = <MDtype.Boolean: 9>
- Double = <MDtype.Double: 2>
- Double_Array = <MDtype.Double_Array: 10>
- Int32 = <MDtype.Int32: 5>
- Int64 = <MDtype.Int64: 7>
- Integer = <MDtype.Integer: 4>
- Invalid = <MDtype.Invalid: 11>
- Long = <MDtype.Long: 6>
- Real = <MDtype.Real: 0>
- Real32 = <MDtype.Real32: 1>
- Real64 = <MDtype.Real64: 3>
- String = <MDtype.String: 8>
- property name
- property value
- class mspasspy.ccore.utility.Metadata
Bases:
BasicMetadata
- class Metadata_keyIterator
Bases:
pybind11_object
- append_chain(self: mspasspy.ccore.utility.Metadata, arg0: str, arg1: str, arg2: str) None
Create or append to a string attribute that defines a chain
- change_key(self: mspasspy.ccore.utility.Metadata, arg0: str, arg1: str) None
Change key to access an attribute
- clear_modified(self: mspasspy.ccore.utility.Metadata) None
Clear container used to mark altered Metadata
- erase(self: mspasspy.ccore.utility.Metadata, arg0: str) None
Delete contents associated with a single key
- get(self: mspasspy.ccore.utility.Metadata, arg0: str) boost::any
Return the value indexed by a specified key
- get_bool(self: mspasspy.ccore.utility.Metadata, arg0: str) bool
Return a (C) boolean defined by a specified key
- get_double(self: mspasspy.ccore.utility.Metadata, arg0: str) float
Retrieve a real number by a specified key
- get_long(self: mspasspy.ccore.utility.Metadata, arg0: str) int
Return a long integer by a specified key
- get_string(self: mspasspy.ccore.utility.Metadata, arg0: str) str
Return a string indexed by a specified key
- is_defined(self: mspasspy.ccore.utility.Metadata, arg0: str) bool
Test if a key has a defined value
- keys(self: mspasspy.ccore.utility.Metadata) Set[str]
Return a list of the keys of all defined attributes
- modified(self: mspasspy.ccore.utility.Metadata) Set[str]
Return a list of all attributes that have been changes since construction
- put(*args, **kwargs)
Overloaded function.
put(self: mspasspy.ccore.utility.Metadata, arg0: bytes, arg1: object) -> None
put(self: mspasspy.ccore.utility.Metadata, arg0: str, arg1: float) -> None
put(self: mspasspy.ccore.utility.Metadata, arg0: str, arg1: bool) -> None
put(self: mspasspy.ccore.utility.Metadata, arg0: str, arg1: int) -> None
put(self: mspasspy.ccore.utility.Metadata, arg0: str, arg1: bytes) -> None
put(self: mspasspy.ccore.utility.Metadata, arg0: str, arg1: str) -> None
put(self: mspasspy.ccore.utility.Metadata, arg0: str, arg1: object) -> None
- put_bool(self: mspasspy.ccore.utility.Metadata, arg0: str, arg1: bool) None
Interface class for boolean
- put_double(self: mspasspy.ccore.utility.Metadata, arg0: str, arg1: float) None
Interface class for doubles
- put_long(self: mspasspy.ccore.utility.Metadata, arg0: str, arg1: int) None
Interface class for long ints
- put_string(self: mspasspy.ccore.utility.Metadata, arg0: str, arg1: str) None
Interface class for strings
- todict()
Converts a Metadata object to a Python dict.
This is the inverse of dict2Metadata. It converts a Metadata object to a Python dict. Note that Metadata behavies like dict, so this conversion is usually not necessay.
- Parameters:
md (
Metadata
) – Metadata object to convert.- Returns:
Python dict equivalent to md.
- Return type:
dict
- type(self: mspasspy.ccore.utility.Metadata, arg0: str) str
Return a demangled typename for value associated with a key
- class mspasspy.ccore.utility.MetadataDefinitions
Bases:
pybind11_object
Load a catalog of valid metadata names with types defined
- add(self: mspasspy.ccore.utility.MetadataDefinitions, arg0: str, arg1: str, arg2: mspasspy.ccore.utility.MDtype) None
Append a new attribute to the catalog
- add_alias(self: mspasspy.ccore.utility.MetadataDefinitions, arg0: str, arg1: str) None
Add an alias for a particular atrribute key
- aliases(self: mspasspy.ccore.utility.MetadataDefinitions, arg0: str) List[str]
Return a list of aliases for a particular key
- apply_aliases(self: mspasspy.ccore.utility.MetadataDefinitions, arg0: mspasspy.ccore.utility.Metadata, arg1: List[str]) List[str]
Apply a set of alias names to Metadata or child of Metadata
- clear_aliases(self: mspasspy.ccore.utility.MetadataDefinitions, arg0: mspasspy.ccore.utility.Metadata) None
Clear aliases in a Metadata or child of Metadata
- collection(self: mspasspy.ccore.utility.MetadataDefinitions, arg0: str) str
Return the table (collection) name for an attribute defined in a master table
- concept(self: mspasspy.ccore.utility.MetadataDefinitions, arg0: str) str
Return a string with a brief description of the concept this attribute captures
- has_alias(self: mspasspy.ccore.utility.MetadataDefinitions, arg0: str) bool
Returns true if a specified key as an alterate name - alias
- is_alias(self: mspasspy.ccore.utility.MetadataDefinitions, arg0: str) bool
Return true if a key is an alias
- is_defined(self: mspasspy.ccore.utility.MetadataDefinitions, arg0: str) bool
Test if a key is defined
- is_normalized(self: mspasspy.ccore.utility.MetadataDefinitions, arg0: str) bool
Test to see if an attribute is stored in a master collection (table)
- keys(self: mspasspy.ccore.utility.MetadataDefinitions) List[str]
Return a list of all valid keys
- normalize_data(self: mspasspy.ccore.utility.MetadataDefinitions, arg0: str) Tuple[str, str]
Faster method to return unique_id_key and table name
- readonly(self: mspasspy.ccore.utility.MetadataDefinitions, arg0: str) bool
Test if an attribute is marked readonly
- set_readonly(self: mspasspy.ccore.utility.MetadataDefinitions, arg0: str) None
Force an attribute to be marked readonly
- set_writeable(self: mspasspy.ccore.utility.MetadataDefinitions, arg0: str) None
Force an attribute to be marked as writeable
- type(self: mspasspy.ccore.utility.MetadataDefinitions, arg0: str) mspasspy.ccore.utility.MDtype
Return a description of the type of this attribute
- unique_id_key(self: mspasspy.ccore.utility.MetadataDefinitions, arg0: str) str
Return the key for a unique id to fetch an attribute from a master collection (table)
- unique_name(self: mspasspy.ccore.utility.MetadataDefinitions, arg0: str) Tuple[str, mspasspy.ccore.utility.MDtype]
Returns the unique key name associated with an alias
- writeable(self: mspasspy.ccore.utility.MetadataDefinitions, arg0: str) bool
Test if an attribute should be saved
- class mspasspy.ccore.utility.Metadata_typedef
Bases:
pybind11_object
- property mdt
Type of any value associated with this key
- property tag
Name key for this metadata
- class mspasspy.ccore.utility.NodeData
Bases:
pybind11_object
Data structure used in ProcessingHistory to processing tree node data
- property algid
id defining an instance of a particular algorithm (defines what parameter choices were used)
- property algorithm
algorithm that created data linked to this node position
- property stage
Processing stage counter for this node of the processing tree
- property status
ProcessingStatus value at this node
- property type
Type of data this process handled as this input
- property uuid
uuid of data stage associated with this node
- class mspasspy.ccore.utility.ProcessingHistory
Bases:
BasicProcessingHistory
Used to save object level processing history.
- accumulate(self: mspasspy.ccore.utility.ProcessingHistory, alg: str, algid: str, type: mspasspy.ccore.utility.AtomicType, newinput: mspasspy.ccore.utility.ProcessingHistory) None
History accumulator for spark reduce operators
- add_many_inputs(self: mspasspy.ccore.utility.ProcessingHistory, inputs: List[mspasspy.ccore.utility.ProcessingHistory]) None
Add multiple inputs after initialization with new_ensemble_process or accumulate
- add_one_input(self: mspasspy.ccore.utility.ProcessingHistory, newinput: mspasspy.ccore.utility.ProcessingHistory) None
A single input datum after initialization with new_ensemble_process or accumulate
- clear_history(self: mspasspy.ccore.utility.ProcessingHistory) None
Clear this history chain - use with caution
- created_by(self: mspasspy.ccore.utility.ProcessingHistory) Tuple[str, str]
Return the algorithm name and id that created current node
- current_nodedata(self: mspasspy.ccore.utility.ProcessingHistory) mspasspy.ccore.utility.NodeData
Return all the attributes of current
- property elog
- get_nodes(self: mspasspy.ccore.utility.ProcessingHistory) std::multimap<T MSPASS_COMMA U>
Retrieve the nodes multimap that defines the tree stucture branches
- id(self: mspasspy.ccore.utility.ProcessingHistory) str
Return current uuid
- inputs(self: mspasspy.ccore.utility.ProcessingHistory, arg0: str) List[mspasspy.ccore.utility.NodeData]
Return a list of uuids of all data that were inputs to defined uuid (current or any ancestor)
- is_empty(self: mspasspy.ccore.utility.ProcessingHistory) bool
Return true if the processing chain is empty
- is_origin(self: mspasspy.ccore.utility.ProcessingHistory) bool
Return True if the data are marked as an origin - commonly an intermediate save
- is_raw(self: mspasspy.ccore.utility.ProcessingHistory) bool
Return True if the data are raw data with no previous processing
- is_saved(self: mspasspy.ccore.utility.ProcessingHistory) bool
Return True if the data are saved and history can be cleared
- is_volatile(self: mspasspy.ccore.utility.ProcessingHistory) bool
Return True if the data are unsaved, partially processed data
- map_as_saved(self: mspasspy.ccore.utility.ProcessingHistory, arg0: str, arg1: str, arg2: mspasspy.ccore.utility.AtomicType) str
Load data defining this as the end of chain that was or will soon be saved
- new_ensemble_process(self: mspasspy.ccore.utility.ProcessingHistory, alg: str, algid: str, type: mspasspy.ccore.utility.AtomicType, parents: List[mspasspy.ccore.utility.ProcessingHistory], create_newid: bool = True) str
Set up history chain to define the current data as result of reduction - output form multiple inputs
- new_map(*args, **kwargs)
Overloaded function.
new_map(self: mspasspy.ccore.utility.ProcessingHistory, alg: str, algid: str, type: mspasspy.ccore.utility.AtomicType, newstatus: mspasspy.ccore.utility.ProcessingStatus = <ProcessingStatus.VOLATILE: 2>) -> str
Set history chain to define the current data as a one-to-one map from parent
new_map(self: mspasspy.ccore.utility.ProcessingHistory, alg: str, algid: str, type: mspasspy.ccore.utility.AtomicType, data_to_clone: mspasspy.ccore.utility.ProcessingHistory, newstatus: mspasspy.ccore.utility.ProcessingStatus = <ProcessingStatus.VOLATILE: 2>) -> str
Set history chain to define the current data as a one-to-one map from parent
- newid(self: mspasspy.ccore.utility.ProcessingHistory) str
Create a new uuid for current data
- number_inputs(*args, **kwargs)
Overloaded function.
number_inputs(self: mspasspy.ccore.utility.ProcessingHistory, arg0: str) -> int
Return the number of inputs used to generate a specified uuid of the process chain
number_inputs(self: mspasspy.ccore.utility.ProcessingHistory) -> int
Return the number of inputs used to create the current data
- number_of_stages(self: mspasspy.ccore.utility.ProcessingHistory) int
Return count of the number of processing steps applied so far
- set_as_origin(self: mspasspy.ccore.utility.ProcessingHistory, alg: str, algid: str, uuid: str, type: mspasspy.ccore.utility.AtomicType, define_as_raw: bool = False) None
Load data defining this as the top of a processing history chain
- set_as_raw(self: mspasspy.ccore.utility.ProcessingHistory, arg0: str, arg1: str, arg2: str, arg3: mspasspy.ccore.utility.AtomicType) None
Load data defining this as the raw input of a processing history chain
- set_id(self: mspasspy.ccore.utility.ProcessingHistory, arg0: str) None
Set current uuid to valued passed
- stage(self: mspasspy.ccore.utility.ProcessingHistory) int
Return the current stage number (counter of processing stages applied in this run)
- class mspasspy.ccore.utility.ProcessingStatus
Bases:
pybind11_object
Members:
RAW
ORIGIN
VOLATILE
SAVED
UNDEFINED
- ORIGIN = <ProcessingStatus.ORIGIN: 1>
- RAW = <ProcessingStatus.RAW: 0>
- SAVED = <ProcessingStatus.SAVED: 3>
- UNDEFINED = <ProcessingStatus.UNDEFINED: 4>
- VOLATILE = <ProcessingStatus.VOLATILE: 2>
- property name
- property value
- class mspasspy.ccore.utility.SphericalCoordinate
Bases:
pybind11_object
Enscapsulates concept of spherical coordinates
- property phi
azimuthal angle of spherical coordinates
- property radius
R of spherical coordinates
- property theta
zonal angle of spherical coordinates
- property unit_vector
Return the unit vector equivalent to direction defined in sphereical coordinates
- mspasspy.ccore.utility.algorithm_history(h: mspasspy.ccore.utility.ProcessingHistory) List[Tuple[int, str, str]]
Return a list of algorithms applied to produce current data object
- mspasspy.ccore.utility.algorithm_outputs(h: mspasspy.ccore.utility.ProcessingHistory, algorithm: str, algid: str) List[str]
Return a list of uuids of data created by a specified algorithm
- class mspasspy.ccore.utility.dmatrix
Bases:
pybind11_object
- columns(self: mspasspy.ccore.utility.dmatrix) int
Columns in the matrix
- rows(self: mspasspy.ccore.utility.dmatrix) int
Rows in the matrix
- property shape
Return the unit vector equivalent to direction defined in sphereical coordinates
- property size
The size of the matrix
- transpose(self: mspasspy.ccore.utility.dmatrix) mspasspy.ccore.utility.dmatrix
Matrix transpose
- zero(self: mspasspy.ccore.utility.dmatrix) None
Initialize a matrix to all zeros
- mspasspy.ccore.utility.error_says_data_bad(arg0: mspass::utility::MsPASSError) bool
Test if what message from MsPASSError defines data as invalid and should be killed
- mspasspy.ccore.utility.error_severity(arg0: mspass::utility::MsPASSError) mspasspy.ccore.utility.ErrorSeverity
Return an ErrorSeverity object defining severity of a MsPASSError being handled
- mspasspy.ccore.utility.error_severity_string(arg0: mspass::utility::MsPASSError) str
Return a string defining error severity of a MsPASSError exception
- mspasspy.ccore.utility.get_mdlist(arg0: mspasspy.ccore.utility.AntelopePf, arg1: str) List[mspasspy.ccore.utility.Metadata_typedef]
retrieve list with keys and types
- mspasspy.ccore.utility.pfread(pffile: str) mspasspy.ccore.utility.AntelopePf
parameter file reader
seismic
A submodule for seismic namespace of ccore
- class mspasspy.ccore.seismic.CoreSeismogramEnsemble
Bases:
Metadata
Gather of vector(3c) time series objects
- property member
Vector of Seismogram objects defining the ensemble
- sync_metadata(*args, **kwargs)
Overloaded function.
sync_metadata(self: mspasspy.ccore.seismic.CoreSeismogramEnsemble) -> None
Copy ensemble metadata to all members
sync_metadata(self: mspasspy.ccore.seismic.CoreSeismogramEnsemble, arg0: List[str]) -> None
Copy ensemble metadata to all members
- update_metadata(self: mspasspy.ccore.seismic.CoreSeismogramEnsemble, arg0: mspasspy.ccore.utility.Metadata) None
Update the ensemble header (metadata)
- class mspasspy.ccore.seismic.CoreTimeSeriesEnsemble
Bases:
Metadata
Gather of scalar time series objects
- property member
Vector of TimeSeries objects defining the ensemble
- sync_metadata(*args, **kwargs)
Overloaded function.
sync_metadata(self: mspasspy.ccore.seismic.CoreTimeSeriesEnsemble) -> None
Copy ensemble metadata to all members
sync_metadata(self: mspasspy.ccore.seismic.CoreTimeSeriesEnsemble, arg0: List[str]) -> None
Copy ensemble metadata to all members
- update_metadata(self: mspasspy.ccore.seismic.CoreTimeSeriesEnsemble, arg0: mspasspy.ccore.utility.Metadata) None
Update the ensemble header (metadata)
- class mspasspy.ccore.seismic.DataGap
Bases:
pybind11_object
Base class for lightweight definition of data gaps
- add_gap(self: mspasspy.ccore.seismic.DataGap, arg0: mspass::algorithms::TimeWindow) None
Define a specified time range as a data gap
- clear_gaps(self: mspasspy.ccore.seismic.DataGap) None
Flush the entire gaps container
- get_gaps(self: mspasspy.ccore.seismic.DataGap) List[mspass::algorithms::TimeWindow]
Return a list of TimeWindows marked as gaps
- has_gap(*args, **kwargs)
Overloaded function.
has_gap(self: mspasspy.ccore.seismic.DataGap) -> bool
Test if datum has any gaps defined
has_gap(self: mspasspy.ccore.seismic.DataGap, arg0: mspass::algorithms::TimeWindow) -> bool
Test if there is a gap inside a specified time range (defined with TimeWindow object)
- is_gap(self: mspasspy.ccore.seismic.DataGap, arg0: float) bool
Return true if arg0 time is inside a data gap
- number_gaps(self: mspasspy.ccore.seismic.DataGap) int
Return number of defined gaps
- subset(self: mspasspy.ccore.seismic.DataGap, arg0: mspass::algorithms::TimeWindow) mspasspy.ccore.seismic.DataGap
Return a subset of content spanning input range
- translate_origin(self: mspasspy.ccore.seismic.DataGap, arg0: float) None
Shift time origin by a specified value
- class mspasspy.ccore.seismic.DoubleVector
Bases:
pybind11_object
- append(self: mspasspy.ccore.seismic.DoubleVector, x: float) None
Add an item to the end of the list
- clear(self: mspasspy.ccore.seismic.DoubleVector) None
Clear the contents
- count(self: mspasspy.ccore.seismic.DoubleVector, x: float) int
Return the number of times
x
appears in the list
- extend(*args, **kwargs)
Overloaded function.
extend(self: mspasspy.ccore.seismic.DoubleVector, L: mspasspy.ccore.seismic.DoubleVector) -> None
Extend the list by appending all the items in the given list
extend(self: mspasspy.ccore.seismic.DoubleVector, L: Iterable) -> None
Extend the list by appending all the items in the given list
- insert(self: mspasspy.ccore.seismic.DoubleVector, i: int, x: float) None
Insert an item at a given position.
- pop(*args, **kwargs)
Overloaded function.
pop(self: mspasspy.ccore.seismic.DoubleVector) -> float
Remove and return the last item
pop(self: mspasspy.ccore.seismic.DoubleVector, i: int) -> float
Remove and return the item at index
i
- remove(self: mspasspy.ccore.seismic.DoubleVector, x: float) None
Remove the first item from the list whose value is x. It is an error if there is no such item.
- class mspasspy.ccore.seismic.PowerSpectrum
Bases:
_BasicSpectrum
,Metadata
Container for power spectrum estimates
- Nyquist(self: mspasspy.ccore.seismic.PowerSpectrum) float
Return Nyquist frequency of this powewr spectrum estimate
- amplitude(self: mspasspy.ccore.seismic.PowerSpectrum) mspasspy.ccore.seismic.DoubleVector
Return an std::vector of amplitude values (sqrt of power)
- property elog
Handle to ErrorLogger
- frequencies(self: mspasspy.ccore.seismic.PowerSpectrum) mspasspy.ccore.seismic.DoubleVector
Return an std::vector of
- frequency(self: mspasspy.ccore.seismic.PowerSpectrum, arg0: int) float
Return frequency linked to given sample number
- nf(self: mspasspy.ccore.seismic.PowerSpectrum) int
Return number of frequencies in this spectral estimate
- power(self: mspasspy.ccore.seismic.PowerSpectrum, arg0: float) float
Return power at a specified frequency using linear interpolation between gridded values
- property spectrum
Vector containing estimated power spectrum; equally spaced ordered in increasing frequency
- property spectrum_type
Descriptive name of method used to generate spectrum
- class mspasspy.ccore.seismic.Seismogram
Bases:
_CoreSeismogram
,ProcessingHistory
mspass three-component seismogram data object
- load_history(self: mspasspy.ccore.seismic.Seismogram, arg0: mspasspy.ccore.utility.ProcessingHistory) None
Load ProcessingHistory from another data object that contains relevant history
- toStream(chanmap=['E', 'N', 'Z'], hang=[90.0, 0.0, 0.0], vang=[90.0, 90.0, 0.0])
Convert a mspass::Seismogram object to an obspy::Stream with 3 components split apart.
mspass and obspy have completely incompatible approaches to handling three component data. obspy uses a Stream object that is a wrapper around and a list of Trace objects. mspass stores 3C data bundled into a matrix container. This function takes the matrix container apart and produces the three Trace objects obspy want to define 3C data. The caller is responsible for how they handle bundling the output.
A very dark side of this function is any error log entries in the part mspass Seismogram object will be lost in this conversion as obspy does not implement that concept. If you need to save the error log you will need to save the input of this function to MongoDB to preserve the errorlog it may contain.
- Parameters:
sg (
Seismogram
) – is the Seismogram object to be convertedchanmap (list) – 3 element list of channel names to be assigned components
hang (list) – 3 element list of horizontal angle attributes (azimuth in degrees) to be set in Stats array of output for each component. (default is for cardinal directions)
vang (list) – 3 element list of vertical angle (theta of spherical coordinates) to be set in Stats array of output for each component. (default is for cardinal directions)
- Returns:
obspy Stream object containing a list of 3 Trace objects in mspass component order. Presently the data are ALWAYS returned to cardinal directions (see above). It will be empty if sg was marked dead
- Return type:
- class mspasspy.ccore.seismic.SeismogramEnsemble
Bases:
CoreSeismogramEnsemble
Gather of vector(3c) time series objects
- dead(self: mspasspy.ccore.seismic.SeismogramEnsemble) bool
Return true if the entire ensemble is marked dead
- property elog
Error log attached to the ensemble - not the same as member error logs
- kill(self: mspasspy.ccore.seismic.SeismogramEnsemble) None
Mark the entire ensemble dead
- property live
True if the ensemble contains any valid data. False if empty or all invalid.
- set_live(self: mspasspy.ccore.seismic.SeismogramEnsemble) bool
Mark ensemble live but use a validate test first
- toStream()
Convert a seismogram ensemble to stream :param sge: seismogram ensemble input :return: stream
- validate(self: mspasspy.ccore.seismic.SeismogramEnsemble) bool
Test to see if the ensemble has any live members - return true of it does
- class mspasspy.ccore.seismic.SeismogramVector
Bases:
pybind11_object
- append(self: mspasspy.ccore.seismic.SeismogramVector, x: mspass::seismic::Seismogram) None
Add an item to the end of the list
- clear(self: mspasspy.ccore.seismic.SeismogramVector) None
Clear the contents
- extend(*args, **kwargs)
Overloaded function.
extend(self: mspasspy.ccore.seismic.SeismogramVector, L: mspasspy.ccore.seismic.SeismogramVector) -> None
Extend the list by appending all the items in the given list
extend(self: mspasspy.ccore.seismic.SeismogramVector, L: Iterable) -> None
Extend the list by appending all the items in the given list
- insert(self: mspasspy.ccore.seismic.SeismogramVector, i: int, x: mspass::seismic::Seismogram) None
Insert an item at a given position.
- pop(*args, **kwargs)
Overloaded function.
pop(self: mspasspy.ccore.seismic.SeismogramVector) -> mspass::seismic::Seismogram
Remove and return the last item
pop(self: mspasspy.ccore.seismic.SeismogramVector, i: int) -> mspass::seismic::Seismogram
Remove and return the item at index
i
- class mspasspy.ccore.seismic.SlownessVector
Bases:
pybind11_object
Encapsulate concept of slowness vector describing wave propagation
- azimuth(self: mspasspy.ccore.seismic.SlownessVector) float
Return the azimuth of propagation defined by this slowness vector
- baz(self: mspasspy.ccore.seismic.SlownessVector) float
Return the so called back azimuth defined by a slowness vector
- mag(self: mspasspy.ccore.seismic.SlownessVector) float
Return the magnitude of the slowness vector
- property ux
Slowness component in the x (Easting) direction
- property uy
Slowness component in the y (Northing) direction
- class mspasspy.ccore.seismic.TimeReferenceType
Bases:
pybind11_object
Members:
Relative
UTC
- Relative = <TimeReferenceType.Relative: 1>
- UTC = <TimeReferenceType.UTC: 0>
- property name
- property value
- class mspasspy.ccore.seismic.TimeSeries
Bases:
_CoreTimeSeries
,ProcessingHistory
mspass scalar time series data object
- load_history(self: mspasspy.ccore.seismic.TimeSeries, arg0: mspasspy.ccore.utility.ProcessingHistory) None
Load ProcessingHistory from another data object that contains relevant history
- toTrace()
Converts a TimeSeries object to an obspy Trace object.
MsPASS can handle scalar data either as an obspy Trace object or as with the mspass TimeSeries object. The capture nearly the same concepts. The main difference is that TimeSeries support the error logging and history features of mspass while obspy, which is a separate package, does not. Obspy has a number of useful algorithms that operate on scalar data, however, so it is frequently useful to switch between Trace and TimeSeries formats. The user is warned, however, that converting a TimeSeries to a Trace object with this function will result in the loss of any error log information. For production runs unless the data set is huge, we recommend saving the intermediate result AFTER calling this function if there is any possibility there are errors posted on any data. We say after because some warning errors from this function may be posted in elog. Since python uses call by reference d may thus be altered.
- Parameters:
ts (
TimeSeries
) – is the TimeSeries object to be converted- Returns:
an obspy Trace object from conversion of d. An empty Trace object will be returned if d was marked dead
- Return type:
:class:`~obspy.core.trace.Trace`b
- class mspasspy.ccore.seismic.TimeSeriesEnsemble
Bases:
CoreTimeSeriesEnsemble
Gather of scalar time series objects
- dead(self: mspasspy.ccore.seismic.TimeSeriesEnsemble) bool
Return true if the entire ensemble is marked dead
- property elog
Error log attached to the ensemble - not the same as member error logs
- kill(self: mspasspy.ccore.seismic.TimeSeriesEnsemble) None
Mark the entire ensemble dead
- property live
True if the ensemble contains any valid data. False if empty or all invalid.
- set_live(self: mspasspy.ccore.seismic.TimeSeriesEnsemble) bool
Mark ensemble live but use a validate test first
- toStream()
Convert a timeseries ensemble to stream. Always copies all ensemble Metadata to tse members before conversion. That is necessary to avoid loss of data in the case where the only copy is stored in the ensemble’s metadata.
- Parameters:
tse – timeseries ensemble
- Returns:
converted stream
- validate(self: mspasspy.ccore.seismic.TimeSeriesEnsemble) bool
Test to see if the ensemble has any live members - return true of it does
- class mspasspy.ccore.seismic.TimeSeriesVector
Bases:
pybind11_object
- append(self: mspasspy.ccore.seismic.TimeSeriesVector, x: mspass::seismic::TimeSeries) None
Add an item to the end of the list
- clear(self: mspasspy.ccore.seismic.TimeSeriesVector) None
Clear the contents
- extend(*args, **kwargs)
Overloaded function.
extend(self: mspasspy.ccore.seismic.TimeSeriesVector, L: mspasspy.ccore.seismic.TimeSeriesVector) -> None
Extend the list by appending all the items in the given list
extend(self: mspasspy.ccore.seismic.TimeSeriesVector, L: Iterable) -> None
Extend the list by appending all the items in the given list
- insert(self: mspasspy.ccore.seismic.TimeSeriesVector, i: int, x: mspass::seismic::TimeSeries) None
Insert an item at a given position.
- pop(*args, **kwargs)
Overloaded function.
pop(self: mspasspy.ccore.seismic.TimeSeriesVector) -> mspass::seismic::TimeSeries
Remove and return the last item
pop(self: mspasspy.ccore.seismic.TimeSeriesVector, i: int) -> mspass::seismic::TimeSeries
Remove and return the item at index
i
- class mspasspy.ccore.seismic.TimeSeriesWGaps
Bases:
TimeSeries
,DataGap
TimeSeries object with gap handling methods
- ator(self: mspasspy.ccore.seismic.TimeSeriesWGaps, arg0: float) None
Convert to relative time shifting gaps to match
- rtoa(*args, **kwargs)
Overloaded function.
rtoa(self: mspasspy.ccore.seismic.TimeSeriesWGaps) -> None
Return to UTC time using time shift defined in earlier ator call
rtoa(self: mspasspy.ccore.seismic.TimeSeriesWGaps, arg0: float) -> None
Return to UTC time using a specified time shift
- shift(self: mspasspy.ccore.seismic.TimeSeriesWGaps, arg0: float) None
Shift the time reference by a specified constant
- zero_gaps(self: mspasspy.ccore.seismic.TimeSeriesWGaps) None
Zero the data vector for all sections defined as a gap
algorithms
basic
A submodule for algorithms namespace of ccore with common algorithms
- mspasspy.ccore.algorithms.basic.ArrivalTimeReference(*args, **kwargs)
Overloaded function.
ArrivalTimeReference(d: mspasspy.ccore.seismic.Seismogram, key: str, window: mspass::algorithms::TimeWindow) -> mspasspy.ccore.seismic.Seismogram
Shifts data so t=0 is a specified arrival time
ArrivalTimeReference(d: mspasspy.ccore.seismic.CoreSeismogramEnsemble, key: str, window: mspass::algorithms::TimeWindow) -> mspasspy.ccore.seismic.CoreSeismogramEnsemble
Shifts data so t=0 is a specified arrival time
- class mspasspy.ccore.algorithms.basic.BasicTaper
Bases:
pybind11_object
Base class for family of taper algorithms
- class mspasspy.ccore.algorithms.basic.Butterworth
Bases:
pybind11_object
Butterworth filter operator processing object
- apply(*args, **kwargs)
Overloaded function.
apply(self: mspasspy.ccore.algorithms.basic.Butterworth, arg0: mspasspy.ccore.seismic.TimeSeries) -> None
Apply the predefined filter to a TimeSeries object
apply(self: mspasspy.ccore.algorithms.basic.Butterworth, arg0: mspasspy.ccore.seismic.Seismogram) -> None
Apply the predefined filter to a 3c Seismogram object
- change_dt(self: mspasspy.ccore.algorithms.basic.Butterworth, arg0: float) None
Change sample interval defining the operator (does not change corners)
- dt(self: mspasspy.ccore.algorithms.basic.Butterworth) float
Current sample interval used for nondimensionalizing frequencies
- filter_type(self: mspasspy.ccore.algorithms.basic.Butterworth) str
Return a description of the filter type
- high_corner(self: mspasspy.ccore.algorithms.basic.Butterworth) float
Return high frequency 3db point
- impulse_response(self: mspasspy.ccore.algorithms.basic.Butterworth, arg0: int) mspasspy.ccore.seismic._CoreTimeSeries
Return impulse response
- is_zerophase(self: mspasspy.ccore.algorithms.basic.Butterworth) bool
Returns True if operator defines a zerophase filter
- low_corner(self: mspasspy.ccore.algorithms.basic.Butterworth) float
Return low frequency f3d point
- npoles_high(self: mspasspy.ccore.algorithms.basic.Butterworth) int
Return number of poles for the high frequency (low-pass aka high-cut) filter definition
- npoles_low(self: mspasspy.ccore.algorithms.basic.Butterworth) int
Return number of poles for the low frequency (high-pass aka low-cut) filter definition
- transfer_function(self: mspasspy.ccore.algorithms.basic.Butterworth, arg0: int) mspass::algorithms::deconvolution::ComplexArray
Return transfer function in a complex valued array
- class mspasspy.ccore.algorithms.basic.CosineTaper
Bases:
BasicTaper
Define a taper using a half period cosine function
- apply(*args, **kwargs)
Overloaded function.
apply(self: mspasspy.ccore.algorithms.basic.CosineTaper, arg0: mspasspy.ccore.seismic.TimeSeries) -> int
Apply taper to a scalar TimeSeries object
apply(self: mspasspy.ccore.algorithms.basic.CosineTaper, arg0: mspasspy.ccore.seismic.Seismogram) -> int
Apply taper to a Seismogram (3C) object
- get_t0head(self: mspasspy.ccore.algorithms.basic.CosineTaper) float
Return time of end of zero zone - taper sets data with time < this value 0
- get_t0tail(self: mspasspy.ccore.algorithms.basic.CosineTaper) float
Return time of taper end - data with t > this value will be zeroed
- get_t1head(self: mspasspy.ccore.algorithms.basic.CosineTaper) float
Return time of end front end taper - point after this time are not altered until end taper zone is reached
- get_t1tail(self: mspasspy.ccore.algorithms.basic.CosineTaper) float
Return start time of end taper
- class mspasspy.ccore.algorithms.basic.LinearTaper
Bases:
BasicTaper
Define a ramp taper function
- apply(*args, **kwargs)
Overloaded function.
apply(self: mspasspy.ccore.algorithms.basic.LinearTaper, arg0: mspasspy.ccore.seismic.TimeSeries) -> int
Apply taper to a scalar TimeSeries object
apply(self: mspasspy.ccore.algorithms.basic.LinearTaper, arg0: mspasspy.ccore.seismic.Seismogram) -> int
Apply taper to a Seismogram (3C) object
- get_t0head(self: mspasspy.ccore.algorithms.basic.LinearTaper) float
Return time of end of zero zone - taper sets data with time < this value 0
- get_t0tail(self: mspasspy.ccore.algorithms.basic.LinearTaper) float
Return time of taper end - data with t > this value will be zeroed
- get_t1head(self: mspasspy.ccore.algorithms.basic.LinearTaper) float
Return time of end front end taper - point after this time are not altered until end taper zone is reached
- get_t1tail(self: mspasspy.ccore.algorithms.basic.LinearTaper) float
Return start time of end taper
- class mspasspy.ccore.algorithms.basic.TimeWindow
Bases:
pybind11_object
Simple description of a time window
- property end
End time of the window
- length(self: mspasspy.ccore.algorithms.basic.TimeWindow) float
Return the size of the window in seconds
- shift(self: mspasspy.ccore.algorithms.basic.TimeWindow, arg0: float) mspasspy.ccore.algorithms.basic.TimeWindow
Shift the reference time by a specified number of seconds
- property start
Start time of the window
- class mspasspy.ccore.algorithms.basic.VectorTaper
Bases:
BasicTaper
Define generic taper function with a parallel vector of weights
- apply(*args, **kwargs)
Overloaded function.
apply(self: mspasspy.ccore.algorithms.basic.VectorTaper, arg0: mspasspy.ccore.seismic.TimeSeries) -> int
Apply taper to a scalar TimeSeries object
apply(self: mspasspy.ccore.algorithms.basic.VectorTaper, arg0: mspasspy.ccore.seismic.Seismogram) -> int
Apply taper to a Seismogram (3C) object
- mspasspy.ccore.algorithms.basic.agc(d: mspasspy.ccore.seismic.Seismogram, twin: float) mspasspy.ccore.seismic.TimeSeries
Automatic gain control a Seismogram
- mspasspy.ccore.algorithms.basic.repair_overlaps(segments: List[mspasspy.ccore.seismic.TimeSeries]) List[mspasspy.ccore.seismic.TimeSeries]
Attempt to remove redundant, matching overlapping data segments
- mspasspy.ccore.algorithms.basic.seed_ensemble_sort(d: mspasspy.ccore.seismic.TimeSeriesEnsemble) None
Sort a TimeSeriesEnsemble with a natural order with seed name codes.
The seed standard tags every single miniseed record with four string keys that seed uses to uniquely define a single data channel. In MsPASS the keys used for these name keys are: net, sta, chan, and loc. This function applies the same sort algorithm used in the bundle_seed_data algorithm to allow clean grouping into channels that can be assembled into three component (Seismogram) bundles. That means we sort the ensemble data with the four keys in this order: net, sta, loc, chan.
We provide this function because the process of doing such a sort is far from trivial to do in a robust way. A python programmer has easier tools for sorting BUT those standard tools cannot handle a common data problem that can be encountered with real data. That is, there is a high probability not all the seed keys are defined. In particular, data coming from a system based on the css3.0 relational data base (e.g. Antelope) may not have net or loc set. The sorting algorith here handle null net or loc codes cleanly by treating the null case as a particular value. Without those safeties the code would throw an error if net or loc were null.
Note this algorithm alters the ensemble it receives in place.
- Parameters:
d – is the ensemble to be sorted.
- mspasspy.ccore.algorithms.basic.splice_segments(segments: List[mspasspy.ccore.seismic.TimeSeries], save_history: bool) mspasspy.ccore.seismic.TimeSeriesWGaps
Splice a time sorted list of TimeSeries data into a continuous block
amplitudes
A submodule for amplitudes namespace of ccore.algorithms
- class mspasspy.ccore.algorithms.amplitudes.BandwidthData
Bases:
pybind11_object
Defines the frequency domain bandwidth of data
- bandwidth(self: mspasspy.ccore.algorithms.amplitudes.BandwidthData) float
Return bandwidth in dB (bandwidth_fraction in dB)
- bandwidth_fraction(self: mspasspy.ccore.algorithms.amplitudes.BandwidthData) float
Return ratio of estimated bandwidth to total bandwidth of original data
- property f_range
Total frequency range of signal spectrum used for snr estimate
- property high_edge_f
High frequency limit of pass band
- property high_edge_snr
Signal-to-noise ratio at frequency high_edge_f
- property low_edge_f
Low frequency limit of pass band
- property low_edge_snr
Signal-to-noise ratio at frequency low_edge_f
- mspasspy.ccore.algorithms.amplitudes.BandwidthStatistics(signal_spectrum: mspass::seismic::PowerSpectrum, noise_spectrum: mspass::seismic::PowerSpectrum, bandwidth_data: mspasspy.ccore.algorithms.amplitudes.BandwidthData) mspass::utility::Metadata
Compute statistical summary of snr in a passband returned by EstimateBandwidth - Returned in Metadata container
- mspasspy.ccore.algorithms.amplitudes.EstimateBandwidth(signal_df: float, signal_power_spectrum: mspass::seismic::PowerSpectrum, noise_power_spectrum: mspass::seismic::PowerSpectrum, srn_threshold: float, time_bandwidth_product: float, high_frequency_search_start: float, fix_high_edge_to_fhs: bool) mspasspy.ccore.algorithms.amplitudes.BandwidthData
Estimate signal bandwidth estimate of power spectra of signal and noise
- mspasspy.ccore.algorithms.amplitudes.MADAmplitude(*args, **kwargs)
Overloaded function.
MADAmplitude(d: mspass::seismic::CoreTimeSeries) -> float
Compute amplitude from median absolute deviation (MAD) of signal
MADAmplitude(d: mspass::seismic::CoreSeismogram) -> float
Compute amplitude as median of vector amplitudes
- mspasspy.ccore.algorithms.amplitudes.PeakAmplitude(*args, **kwargs)
Overloaded function.
PeakAmplitude(d: mspass::seismic::CoreTimeSeries) -> float
Compute amplitude as largest absolute amplitude
PeakAmplitude(d: mspass::seismic::CoreSeismogram) -> float
Compute amplitude as largest vector amplitude
- mspasspy.ccore.algorithms.amplitudes.PercAmplitude(*args, **kwargs)
Overloaded function.
PercAmplitude(d: mspass::seismic::CoreTimeSeries, perf: float) -> float
Compute amplitude of signal using clip percentage metric
PercAmplitude(d: mspass::seismic::CoreSeismogram, perf: float) -> float
Compute amplitude of signal using clip percentage metric
- mspasspy.ccore.algorithms.amplitudes.RMSAmplitude(*args, **kwargs)
Overloaded function.
RMSAmplitude(d: mspass::seismic::CoreTimeSeries) -> float
Compute amplitude from rms of signal
RMSAmplitude(d: mspass::seismic::CoreSeismogram) -> float
Compute amplitude as rms on all 3 components
deconvolution
A submodule for deconvolution namespace of ccore.algorithms
- class mspasspy.ccore.algorithms.deconvolution.CNR3CDecon
Bases:
FFTDeconOperator
Colored noise regularized three component deconvolution
- QCMetrics(self: mspasspy.ccore.algorithms.deconvolution.CNR3CDecon) mspasspy.ccore.utility.Metadata
Return set of quality control metrics for this operator
- actual_output(self: mspasspy.ccore.algorithms.deconvolution.CNR3CDecon) mspasspy.ccore.seismic.TimeSeries
Return actual output computed for current wavelet
- change_parameters(self: mspasspy.ccore.algorithms.deconvolution.CNR3CDecon, arg0: mspasspy.ccore.utility.BasicMetadata) None
Change operator definition
- data_noise_spectrum(self: mspasspy.ccore.algorithms.deconvolution.CNR3CDecon) mspasspy.ccore.seismic.PowerSpectrum
Return power spectrum of noise on 3C data used to define shaping wavelet
- data_spectrum(self: mspasspy.ccore.algorithms.deconvolution.CNR3CDecon) mspasspy.ccore.seismic.PowerSpectrum
Return average power spectrum of signal on all 3 components of the data
- ideal_output(self: mspasspy.ccore.algorithms.deconvolution.CNR3CDecon) mspasspy.ccore.seismic.TimeSeries
Return ideal output for this operator
- inverse_wavelet(self: mspasspy.ccore.algorithms.deconvolution.CNR3CDecon, arg0: float) mspasspy.ccore.seismic.TimeSeries
Return time domain form of inverse wavelet
- loaddata(*args, **kwargs)
Overloaded function.
loaddata(self: mspasspy.ccore.algorithms.deconvolution.CNR3CDecon, arg0: mspasspy.ccore.seismic.Seismogram, arg1: int, arg2: bool) -> None
Load data defining wavelet by one data component
loaddata(self: mspasspy.ccore.algorithms.deconvolution.CNR3CDecon, arg0: mspasspy.ccore.seismic.Seismogram, arg1: bool) -> None
Load data only with optional noise
- loadnoise_data(*args, **kwargs)
Overloaded function.
loadnoise_data(self: mspasspy.ccore.algorithms.deconvolution.CNR3CDecon, arg0: mspasspy.ccore.seismic.Seismogram) -> None
Load noise to use for regularization from a seismogram
loadnoise_data(self: mspasspy.ccore.algorithms.deconvolution.CNR3CDecon, arg0: mspasspy.ccore.seismic.PowerSpectrum) -> None
Load noise to use for regularization from a seismogram
- loadnoise_wavelet(*args, **kwargs)
Overloaded function.
loadnoise_wavelet(self: mspasspy.ccore.algorithms.deconvolution.CNR3CDecon, arg0: mspasspy.ccore.seismic.TimeSeries) -> None
Load noise to use for regularization from a seismogram
loadnoise_wavelet(self: mspasspy.ccore.algorithms.deconvolution.CNR3CDecon, arg0: mspasspy.ccore.seismic.PowerSpectrum) -> None
Load noise to use for regularization from a seismogram
- loadwavelet(self: mspasspy.ccore.algorithms.deconvolution.CNR3CDecon, arg0: mspasspy.ccore.seismic.TimeSeries) None
Load an externally determined wavelet for deconvolution
- process(self: mspasspy.ccore.algorithms.deconvolution.CNR3CDecon) mspasspy.ccore.seismic.Seismogram
Process data previously loaded
- wavelet_noise_spectrum(self: mspasspy.ccore.algorithms.deconvolution.CNR3CDecon) mspasspy.ccore.seismic.PowerSpectrum
Return power spectrum of noise used for regularization
- wavelet_spectrum(self: mspasspy.ccore.algorithms.deconvolution.CNR3CDecon) mspasspy.ccore.seismic.PowerSpectrum
Return power spectrum of wavelet used for deconvolutions
- class mspasspy.ccore.algorithms.deconvolution.DoubleVector
Bases:
pybind11_object
- append(self: mspasspy.ccore.algorithms.deconvolution.DoubleVector, x: float) None
Add an item to the end of the list
- clear(self: mspasspy.ccore.algorithms.deconvolution.DoubleVector) None
Clear the contents
- count(self: mspasspy.ccore.algorithms.deconvolution.DoubleVector, x: float) int
Return the number of times
x
appears in the list
- extend(*args, **kwargs)
Overloaded function.
extend(self: mspasspy.ccore.algorithms.deconvolution.DoubleVector, L: mspasspy.ccore.algorithms.deconvolution.DoubleVector) -> None
Extend the list by appending all the items in the given list
extend(self: mspasspy.ccore.algorithms.deconvolution.DoubleVector, L: Iterable) -> None
Extend the list by appending all the items in the given list
- insert(self: mspasspy.ccore.algorithms.deconvolution.DoubleVector, i: int, x: float) None
Insert an item at a given position.
- pop(*args, **kwargs)
Overloaded function.
pop(self: mspasspy.ccore.algorithms.deconvolution.DoubleVector) -> float
Remove and return the last item
pop(self: mspasspy.ccore.algorithms.deconvolution.DoubleVector, i: int) -> float
Remove and return the item at index
i
- remove(self: mspasspy.ccore.algorithms.deconvolution.DoubleVector, x: float) None
Remove the first item from the list whose value is x. It is an error if there is no such item.
- class mspasspy.ccore.algorithms.deconvolution.FFTDeconOperator
Bases:
pybind11_object
Base class used by frequency domain deconvolution methods
- change_shift(self: mspasspy.ccore.algorithms.deconvolution.FFTDeconOperator, arg0: int) None
Change reference time shift
- change_size(self: mspasspy.ccore.algorithms.deconvolution.FFTDeconOperator, arg0: int) None
Change fft buffer size
- df(self: mspasspy.ccore.algorithms.deconvolution.FFTDeconOperator, arg0: float) float
Get frequency bin size
- get_shift(self: mspasspy.ccore.algorithms.deconvolution.FFTDeconOperator) int
Get current reference time shift
- get_size(self: mspasspy.ccore.algorithms.deconvolution.FFTDeconOperator) int
Get current fft buffer size
- class mspasspy.ccore.algorithms.deconvolution.LeastSquareDecon
Bases:
ScalarDecon
Water level frequency domain operator
- QCMetrics(self: mspasspy.ccore.algorithms.deconvolution.LeastSquareDecon) mspasspy.ccore.utility.Metadata
Return ideal output of for inverse
- actual_output(self: mspasspy.ccore.algorithms.deconvolution.LeastSquareDecon) mspasspy.ccore.seismic._CoreTimeSeries
Return actual output of inverse*wavelet
- changeparameter(self: mspasspy.ccore.algorithms.deconvolution.LeastSquareDecon, arg0: mspasspy.ccore.utility.Metadata) None
Change operator parameters
- inverse_wavelet(*args, **kwargs)
Overloaded function.
inverse_wavelet(self: mspasspy.ccore.algorithms.deconvolution.LeastSquareDecon) -> mspasspy.ccore.seismic._CoreTimeSeries
inverse_wavelet(self: mspasspy.ccore.algorithms.deconvolution.LeastSquareDecon, arg0: float) -> mspasspy.ccore.seismic._CoreTimeSeries
- process(self: mspasspy.ccore.algorithms.deconvolution.LeastSquareDecon) None
Process previously loaded data
- class mspasspy.ccore.algorithms.deconvolution.MTPowerSpectrumEngine
Bases:
pybind11_object
Processing object used compute multitaper power spectrum estimates from time series data
- apply(*args, **kwargs)
Overloaded function.
apply(self: mspasspy.ccore.algorithms.deconvolution.MTPowerSpectrumEngine, arg0: mspasspy.ccore.seismic.TimeSeries) -> mspasspy.ccore.seismic.PowerSpectrum
Compute from data in a TimeSeries container
apply(self: mspasspy.ccore.algorithms.deconvolution.MTPowerSpectrumEngine, arg0: mspasspy.ccore.algorithms.deconvolution.DoubleVector) -> mspasspy.ccore.algorithms.deconvolution.DoubleVector
Compute from data stored in a simple vector container
- df(self: mspasspy.ccore.algorithms.deconvolution.MTPowerSpectrumEngine) float
Return frequency bin size
- nf(self: mspasspy.ccore.algorithms.deconvolution.MTPowerSpectrumEngine) int
Return number of frequency bins in this operator
- nfft(self: mspasspy.ccore.algorithms.deconvolution.MTPowerSpectrumEngine) int
Return size of fft workspace in this operator
- number_tapers(self: mspasspy.ccore.algorithms.deconvolution.MTPowerSpectrumEngine) int
Return the number of tapers this operator uses for power spectrum estimates
- set_df(self: mspasspy.ccore.algorithms.deconvolution.MTPowerSpectrumEngine, arg0: float) float
Change the assumed frequency bin sample interval
- taper_length(self: mspasspy.ccore.algorithms.deconvolution.MTPowerSpectrumEngine) int
Return number of samples assumed by the operator for input data to be processed
- time_bandwidth_product(self: mspasspy.ccore.algorithms.deconvolution.MTPowerSpectrumEngine) float
Return the time-bandwidth product of this operator
- class mspasspy.ccore.algorithms.deconvolution.MultiTaperSpecDivDecon
Bases:
ScalarDecon
Water level frequency domain operator
- QCMetrics(self: mspasspy.ccore.algorithms.deconvolution.MultiTaperSpecDivDecon) mspasspy.ccore.utility.Metadata
Return ideal output of for inverse
- actual_output(self: mspasspy.ccore.algorithms.deconvolution.MultiTaperSpecDivDecon) mspasspy.ccore.seismic._CoreTimeSeries
Return actual output of inverse*wavelet
- changeparameter(self: mspasspy.ccore.algorithms.deconvolution.MultiTaperSpecDivDecon, arg0: mspasspy.ccore.utility.Metadata) None
Change operator parameters
- get_number_tapers(self: mspasspy.ccore.algorithms.deconvolution.MultiTaperSpecDivDecon) int
Get number of Slepian tapers used by the operator
- get_taperlen(self: mspasspy.ccore.algorithms.deconvolution.MultiTaperSpecDivDecon) int
Get length of the Slepian tapers used by the operator
- get_time_bandwidth_product(self: mspasspy.ccore.algorithms.deconvolution.MultiTaperSpecDivDecon) float
Get time bandwidt product of Slepian tapers used by the operator
- inverse_wavelet(*args, **kwargs)
Overloaded function.
inverse_wavelet(self: mspasspy.ccore.algorithms.deconvolution.MultiTaperSpecDivDecon) -> mspasspy.ccore.seismic._CoreTimeSeries
inverse_wavelet(self: mspasspy.ccore.algorithms.deconvolution.MultiTaperSpecDivDecon, arg0: float) -> mspasspy.ccore.seismic._CoreTimeSeries
- load(self: mspasspy.ccore.algorithms.deconvolution.MultiTaperSpecDivDecon, arg0: mspasspy.ccore.algorithms.deconvolution.DoubleVector, arg1: mspasspy.ccore.algorithms.deconvolution.DoubleVector, arg2: mspasspy.ccore.algorithms.deconvolution.DoubleVector) int
Load all data, wavelet, and noise
- loadnoise(self: mspasspy.ccore.algorithms.deconvolution.MultiTaperSpecDivDecon, arg0: mspasspy.ccore.algorithms.deconvolution.DoubleVector) int
Load noise data for regularization
- process(self: mspasspy.ccore.algorithms.deconvolution.MultiTaperSpecDivDecon) None
Process previously loaded data
- class mspasspy.ccore.algorithms.deconvolution.MultiTaperXcorDecon
Bases:
ScalarDecon
Water level frequency domain operator
- QCMetrics(self: mspasspy.ccore.algorithms.deconvolution.MultiTaperXcorDecon) mspasspy.ccore.utility.Metadata
Return ideal output of for inverse
- actual_output(self: mspasspy.ccore.algorithms.deconvolution.MultiTaperXcorDecon) mspasspy.ccore.seismic._CoreTimeSeries
Return actual output of inverse*wavelet
- changeparameter(self: mspasspy.ccore.algorithms.deconvolution.MultiTaperXcorDecon, arg0: mspasspy.ccore.utility.Metadata) None
Change operator parameters
- get_number_tapers(self: mspasspy.ccore.algorithms.deconvolution.MultiTaperXcorDecon) int
Get number of Slepian tapers used by the operator
- get_taperlen(self: mspasspy.ccore.algorithms.deconvolution.MultiTaperXcorDecon) int
Get length of the Slepian tapers used by the operator
- get_time_bandwidth_product(self: mspasspy.ccore.algorithms.deconvolution.MultiTaperXcorDecon) float
Get time bandwidt product of Slepian tapers used by the operator
- inverse_wavelet(*args, **kwargs)
Overloaded function.
inverse_wavelet(self: mspasspy.ccore.algorithms.deconvolution.MultiTaperXcorDecon) -> mspasspy.ccore.seismic._CoreTimeSeries
inverse_wavelet(self: mspasspy.ccore.algorithms.deconvolution.MultiTaperXcorDecon, arg0: float) -> mspasspy.ccore.seismic._CoreTimeSeries
- load(self: mspasspy.ccore.algorithms.deconvolution.MultiTaperXcorDecon, arg0: mspasspy.ccore.algorithms.deconvolution.DoubleVector, arg1: mspasspy.ccore.algorithms.deconvolution.DoubleVector, arg2: mspasspy.ccore.algorithms.deconvolution.DoubleVector) int
Load all data, wavelet, and noise
- loadnoise(self: mspasspy.ccore.algorithms.deconvolution.MultiTaperXcorDecon, arg0: mspasspy.ccore.algorithms.deconvolution.DoubleVector) int
Load noise data for regularization
- process(self: mspasspy.ccore.algorithms.deconvolution.MultiTaperXcorDecon) None
Process previously loaded data
- class mspasspy.ccore.algorithms.deconvolution.ScalarDecon
Bases:
pybind11_object
Base class for scalar TimeSeries data
- QCMetrics(self: mspasspy.ccore.algorithms.deconvolution.ScalarDecon) mspasspy.ccore.utility.Metadata
Return ideal output of for inverse
- actual_output(self: mspasspy.ccore.algorithms.deconvolution.ScalarDecon) mspasspy.ccore.seismic._CoreTimeSeries
Return actual output of inverse*wavelet
- change_parameter(self: mspasspy.ccore.algorithms.deconvolution.ScalarDecon, arg0: mspasspy.ccore.utility.Metadata) None
Change deconvolution parameters
- change_shaping_wavelet(self: mspasspy.ccore.algorithms.deconvolution.ScalarDecon, arg0: mspass::algorithms::deconvolution::ShapingWavelet) None
Change the shaping wavelet applied to output
- getresult(self: mspasspy.ccore.algorithms.deconvolution.ScalarDecon) mspasspy.ccore.algorithms.deconvolution.DoubleVector
Fetch vector of deconvolved data - after calling process
- ideal_output(self: mspasspy.ccore.algorithms.deconvolution.ScalarDecon) mspasspy.ccore.seismic._CoreTimeSeries
Return ideal output of for inverse
- inverse_wavelet(*args, **kwargs)
Overloaded function.
inverse_wavelet(self: mspasspy.ccore.algorithms.deconvolution.ScalarDecon) -> mspasspy.ccore.seismic._CoreTimeSeries
inverse_wavelet(self: mspasspy.ccore.algorithms.deconvolution.ScalarDecon, arg0: float) -> mspasspy.ccore.seismic._CoreTimeSeries
- load(self: mspasspy.ccore.algorithms.deconvolution.ScalarDecon, w: mspasspy.ccore.algorithms.deconvolution.DoubleVector, d: mspasspy.ccore.algorithms.deconvolution.DoubleVector) int
Load data and wavelet to use to construct deconvolutions operator
- loaddata(self: mspasspy.ccore.algorithms.deconvolution.ScalarDecon, d: mspasspy.ccore.algorithms.deconvolution.DoubleVector) int
- loadwavelet(self: mspasspy.ccore.algorithms.deconvolution.ScalarDecon, w: mspasspy.ccore.algorithms.deconvolution.DoubleVector) int
- process(self: mspasspy.ccore.algorithms.deconvolution.ScalarDecon) None
- class mspasspy.ccore.algorithms.deconvolution.WaterLevelDecon
Bases:
ScalarDecon
Water level frequency domain operator
- QCMetrics(self: mspasspy.ccore.algorithms.deconvolution.WaterLevelDecon) mspasspy.ccore.utility.Metadata
Return ideal output of for inverse
- actual_output(self: mspasspy.ccore.algorithms.deconvolution.WaterLevelDecon) mspasspy.ccore.seismic._CoreTimeSeries
Return actual output of inverse*wavelet
- changeparameter(self: mspasspy.ccore.algorithms.deconvolution.WaterLevelDecon, arg0: mspasspy.ccore.utility.Metadata) None
Change operator parameters
- inverse_wavelet(*args, **kwargs)
Overloaded function.
inverse_wavelet(self: mspasspy.ccore.algorithms.deconvolution.WaterLevelDecon) -> mspasspy.ccore.seismic._CoreTimeSeries
inverse_wavelet(self: mspasspy.ccore.algorithms.deconvolution.WaterLevelDecon, arg0: float) -> mspasspy.ccore.seismic._CoreTimeSeries
- process(self: mspasspy.ccore.algorithms.deconvolution.WaterLevelDecon) None
Process previously loaded data
- mspasspy.ccore.algorithms.deconvolution.circular_shift(d: mspasspy.ccore.algorithms.deconvolution.DoubleVector, i0: int) mspasspy.ccore.algorithms.deconvolution.DoubleVector
Time-domain circular shift operator