map2loop.project.DeformationHistory

class map2loop.project.DeformationHistory

Bases: object

A class containing all the fault and fold summaries and relationships

minimum_fault_length_to_export

The cutoff for ignoring faults. Any fault shorter than this is not exported

Type:

float

history

The time ordered list of deformation events

Type:

list

faultColumns

Column names and types for fault summary

Type:

numpy.dtype

foldColumns

Column names and types for fold summary

Type:

numpy.dtype

faults

The fault summary

Type:

pandas.DataFrame

folds

The fold summary

Type:

pandas.DataFrame

The initialiser for the deformation history. All attributes are defaulted

__init__()

The initialiser for the deformation history. All attributes are defaulted

Methods

__init__()	The initialiser for the deformation history.
addFault(fault)	Add fault to the fault summary
addFold(fold)	Add fold to the fold summary
findfault(id)	Find the fault in the summary based on its eventId
findfold(id)	Find the fold in the summary based on its eventId
get_fault_relationships_with_ids(...)	Ammend the fault relationships DataFrame with the fault eventIds
get_faults_for_export()	Get the faults for export (removes any fault that is shorter than the cutoff)
get_minimum_fault_length()	Getter for the fault length cutoff
populate(faults_map_data)	Populate the fault (and fold) summaries from a geodataframe
removeFaultByEventId(eventId)	Remove the fault from the summary by eventId
removeFaultByName(name)	Remove the fault from the summary by name
set_minimum_fault_length(length)	Sets the minimum fault length to export
summarise_data(fault_observations)	Use fault observations data to add summary data for each fault

addFault(fault)

Add fault to the fault summary

Parameters:

fault (pandas.DataFrame or dict) – The fault information to add

addFold(fold)

Add fold to the fold summary

Parameters:

fold (pandas.DataFrame or dict) – The fold information to add

findfault(id)

Find the fault in the summary based on its eventId

Parameters:

id (int or str) – The eventId or name to look for

Returns:

pandas.DataFrame – The sliced data frame containing the requested fault

findfold(id)

Find the fold in the summary based on its eventId

Parameters:

id (int or str) – The eventId or name to look for

Returns:

pandas.DataFrame – The sliced data frame containing the requested fold

get_fault_relationships_with_ids(fault_fault_relationships: DataFrame)

Ammend the fault relationships DataFrame with the fault eventIds

Parameters:

fault_fault_relationships (pandas.DataFrame) – The fault_fault_relationships

Returns:

pandas.DataFrame – The fault_relationships with the correct eventIds

get_faults_for_export()

Get the faults for export (removes any fault that is shorter than the cutoff)

Returns:

pandas.DataFrame – The filtered fault summary

get_minimum_fault_length()

Getter for the fault length cutoff

Returns:

float – The fault length cutoff

populate(faults_map_data: GeoDataFrame)

Populate the fault (and fold) summaries from a geodataframe

Parameters:

faults_map_data (geopandas.GeoDataFrame) – The parsed data frame from the map

removeFaultByEventId(eventId: int)

Remove the fault from the summary by eventId

Parameters:

eventId (int) – The eventId of the fault to remove

removeFaultByName(name: str)

Remove the fault from the summary by name

Parameters:

name (str) – The name of the fault(s) to remove

set_minimum_fault_length(length)

Sets the minimum fault length to export

Parameters:

length (float or int) – The fault length cutoff

summarise_data(fault_observations: DataFrame)

Use fault observations data to add summary data for each fault

Parameters:

fault_observations (pandas.DataFrame) – The fault observations data