TrackingListValues¶
- class s100py.s102.api.TrackingListValues(recursively_create_children=False, **kywrds)¶
Bases:
s100py.s102.api.SurfaceCorrectionValuesFrom 4.2.1.1.10 of S102 v2.0.0
Attributes Summary
Derived from ISO 19107, referenced figure 7-3 and 8-A-5 of S100 v4.0.0
HDF5 naming
From 4.2.1.1.10.3, The attribute listSeries has the value type Integer which contains an index number into a list of metadata elements describing the reason for the override of the corresponding depth and uncertainty values in the bathymetry coverage.
HDF5 naming
From 4.2.1.1.10.2, The optional attribute trackCode has the value type CharacterString which may contain a text string describing the reason for the override of the corresponding depth and uncertainty values in the bathymetry coverage.
HDF5 naming
The attribute value has the value class Record which is a sequence of value items that shall assign values to the discrete grid point.
Methods Summary
add_data(key, value)Gets all the non-standard keys that are contained in this object currently as well as all the standard keys (S100/HDF5 style names) that could be added.
Override this method if the dtype of compound dataset items is important
get_data(key)get_hdf5_from_file(file_obj)get_s1xx_attr(s1xx_name)Returns the S100 (HDF5) names for the things that are listed in the specs for this class.
Returns a list of properties that are lists (children based on S1xxMetadataListBase).
This function autodetermines the properties implemented (which have get/set @properties and _attribute_name associated)
This function autodetermines the HDF5 or xml names and their associated property names.
Override this method if the write order of attributes/groups/dataset items is important
initialize_properties([...])Calls the create function for all the properties of the class.
read(group_object)Given an h5py.File or a h5py group then read the data based on the encoded S100+ spec.
read_simple_attributes(group_object)Reads the standard simple types (strings, ints, floats, datetimes, enums) from the given group as specified by the class specs.
set_datetime_attribute(val, attribute_name, ...)A DateTime is a combination of a date and a time type.
set_enum_attribute(val, attribute_name, ...)Function to set an attribute that is an enumeration type using either it's string or numeric value or enumeration instance.
set_s1xx_attr(s1xx_name, val)write(group_object)write the contained data and all it's children into an HDF5 file using h5py.
write_as_xml(etree_object)write_simple_attributes(group_object)Attributes Documentation
- geometry_attribute_name = 'geometry'¶
HDF5 naming
- geometry_type¶
- list_series¶
From 4.2.1.1.10.3, The attribute listSeries has the value type Integer which contains an index number into a list of metadata elements describing the reason for the override of the corresponding depth and uncertainty values in the bathymetry coverage.
- Return type
int
- list_series_attribute_name = 'listSeries'¶
HDF5 naming
- list_series_type¶
- track_code¶
From 4.2.1.1.10.2, The optional attribute trackCode has the value type CharacterString which may contain a text string describing the reason for the override of the corresponding depth and uncertainty values in the bathymetry coverage. This is a user definable field with values defined in the lineage metadata.
- Return type
str
- track_code_attribute_name = 'trackCode'¶
HDF5 naming
- track_code_type¶
- value¶
The attribute value has the value class Record which is a sequence of value items that shall assign values to the discrete grid point. There are two values in each record in the S102_TrackingListValues class. These are the depth and the uncertainty values that were overridden in corresponding grid coverages
‘value’ in tracking list should be HDF5 dataset of (depth, uncertainty) which are matched to the listSeries which holds the indices of the data locations
It is an ISO 19103 class Record
- Return type
Union[ndarray,Dataset]
- value_attribute_name = 'value'¶
- value_type¶
Methods Documentation
- add_data(key, value)¶
- geometry_create()¶
- get_all_keys()¶
Gets all the non-standard keys that are contained in this object currently as well as all the standard keys (S100/HDF5 style names) that could be added.
- Return type
list
- get_compound_dtype()¶
Override this method if the dtype of compound dataset items is important
- Return type
A list of dtype, None otherwise.
- get_data(key)¶
- get_hdf5_from_file(file_obj)¶
- get_s1xx_attr(s1xx_name)¶
- get_standard_keys()¶
Returns the S100 (HDF5) names for the things that are listed in the specs for this class.
- Returns
The S102 HDF5 group/attribute/dataset names from this object that will be written or read from an HDF5 file. e.g. BathymetryCoverage or westBoundLongitude etc.
For the class “Root”: [‘BathymetryCoverage’, ‘Group_F’, ‘TrackingListCoverage’]
- Return type
list
- get_standard_list_properties()¶
Returns a list of properties that are lists (children based on S1xxMetadataListBase). Basically a way of finding which items will be named <name>_001, <name>_002 etc
- Returns
The property names that will have auto-generated names based on their index in a list.
- Return type
list
- classmethod get_standard_properties()¶
This function autodetermines the properties implemented (which have get/set @properties and _attribute_name associated)
- Returns
Names of the properties implemented.
For eample class “Root” might have (for S102): [‘bathymetry_coverage’, ‘feature_information’, ‘tracking_list_coverage’]
- Return type
list
- get_standard_properties_mapping()¶
This function autodetermines the HDF5 or xml names and their associated property names. Keys are the s100 (HDF5 spelling) strings and the values are the python style naming.
- Returns
dictionary of xml element names as keys and property names as values.
For the class “Root”: {‘BathymetryCoverage’: ‘bathymetry_coverage’, ‘Group_F’: ‘feature_information’, ‘TrackingListCoverage’: ‘tracking_list_coverage’}
- Return type
dict
- get_write_order()¶
Override this method if the write order of attributes/groups/dataset items is important
- Return type
A list of key names if order is important, None otherwise.
- initialize_properties(recursively_create_children=False, overwrite=True)¶
Calls the create function for all the properties of the class. Default values will be created for each attribute that is expected to be contained in this object.
For example, say a class has simple attributes of ESPG code (int) and locatilty (str) and then a class made from S1xxAttributesBase called “extents” which has east and west inside it.
Calling initialize_properties(recursively_create_children=False) would result in EPSG=0, locality=”” and an instance of the “extents” class but NO value (nothing would be written to HDF5) for east, west.
Calling initialize_properties(recursively_create_children=True) would result in EPSG=0, locality=”” and an instance of the “extents” class but with east=0.0 and wesst=0.0 as well.
Calling initialize_properties(recursively_create_children=True, overwrite=False) with an esiting dataset, say locality=”test” would result in EPSG=0 being made, locality=”test” being retained and an instance of the “extents” class with east=0.0 and wesst=0.0 as well.
- Parameters
recursively_create_children – True = Create children for any child data that would have other children False = Only create data for immediate children of this instance
overwrite – True = Overwrite existing data with new default data False = Keep existing data if it exists but create new data otherwise
- Return type
None
- list_series_create()¶
- read(group_object)¶
Given an h5py.File or a h5py group then read the data based on the encoded S100+ spec.
- Parameters
group_object – The group (an h5py.File is a group too) to read from.
- Return type
None
- read_simple_attributes(group_object)¶
Reads the standard simple types (strings, ints, floats, datetimes, enums) from the given group as specified by the class specs.
- Parameters
group_object – The group (an h5py.File is a group too) to read from.
- Return type
None
- set_datetime_attribute(val, attribute_name, date_type)¶
A DateTime is a combination of a date and a time type. Character encoding of a DateTime must follow ISO 8601:2004 ( :2004 took away partial dates with two digit year or just month/day) EXAMPLES 19850412T101530 2001-07-17T04:50:00 2012-11-01T00:44:00+10:30 2001-07-17 19850412T101530.44 19850412T101530.44Z 19850412T101530.44+10 19850412T101530.44+1030 19850412T10:15:30Z
- Parameters
val –
attribute_name –
date_type –
- set_enum_attribute(val, attribute_name, enum_type)¶
Function to set an attribute that is an enumeration type using either it’s string or numeric value or enumeration instance.
- Parameters
val – The value as a string, int or Enum().
attribute_name – The S100 name (hdf5 spelling).
enum_type – The class of enumeration to use if an instance needs to be created.
- Return type
None
- set_s1xx_attr(s1xx_name, val)¶
- track_code_create()¶
- value_create()¶
- write(group_object)¶
write the contained data and all it’s children into an HDF5 file using h5py.
- Parameters
group_object – An h5py.File or an h5py group object
- Return type
None
- write_as_xml(etree_object)¶
- write_simple_attributes(group_object)¶
- __init__(recursively_create_children=False, **kywrds)¶