obspy.core.event.source.Tensor

class Tensor(*args, **kwargs)[source]

Bases: AbstractEventType

The Tensor class represents the six moment-tensor elements Mrr, Mtt, Mpp, Mrt, Mrp, Mtp in the spherical coordinate system defined by local upward vertical (r), North-South (t), and West-East (p) directions.

Parameters:

  • m_rr (float) – Moment-tensor element Mrr. Unit: Nm

  • m_rr_errors (QuantityError) – AttribDict containing error quantities.

  • m_tt (float) – Moment-tensor element Mtt. Unit: Nm

  • m_tt_errors (QuantityError) – AttribDict containing error quantities.

  • m_pp (float) – Moment-tensor element Mpp. Unit: Nm

  • m_pp_errors (QuantityError) – AttribDict containing error quantities.

  • m_rt (float) – Moment-tensor element Mrt. Unit: Nm

  • m_rt_errors (QuantityError) – AttribDict containing error quantities.

  • m_rp (float) – Moment-tensor element Mrp. Unit: Nm

  • m_rp_errors (QuantityError) – AttribDict containing error quantities.

  • m_tp (float) – Moment-tensor element Mtp. Unit: Nm

  • m_tp_errors (QuantityError) – AttribDict containing error quantities.

Note

For handling additional information not covered by the QuakeML standard and how to output it to QuakeML see the ObsPy Tutorial.

Attributes

defaults

do_not_warn_on

item

key

readonly

warn_on_non_default_key

Public Methods

clear

Clear the class :return:

copy

get

items

keys

pop

If key is not found, d is returned if given, otherwise KeyError is raised.

popitem

as a 2-tuple; but raise KeyError if D is empty.

setdefault

update

values

Private Methods

Warning

Private methods are mainly for internal/developer use and their API might change without notice.

Tensor._cast_type(key, value)

Cast type of value to type required in _types dict.

Parameters:

  • key (str) – The key from __setattr__.

  • value – The value being set to key.

Returns:

value cast to correct type.

Tensor._pretty_str(priorized_keys=[], min_label_length=16)

Return better readable string representation of AttribDict object.

Parameters:

  • priorized_keys (list[str], optional) – Keywords of current AttribDict which will be shown before all other keywords. Those keywords must exists otherwise an exception will be raised. Defaults to empty list.

  • min_label_length (int, optional) – Minimum label length for keywords. Defaults to 16.

Returns:

String representation of current AttribDict object.

Tensor._repr_pretty_(p, cycle)

Special Methods

Tensor.__bool__()
Tensor.__contains__(key)
Tensor.__delattr__(name)
Tensor.__delitem__(name)
Tensor.__dir__()

Default dir() implementation.

Tensor.__eq__(other)

Two instances are considered equal if all attributes and all lists are identical.

Tensor.__format__(format_spec, /)

Default object formatter.

Tensor.__ge__(value, /)

Return self>=value.

Tensor.__getattr__(name, default=None)

Py3k hasattr() expects an AttributeError no KeyError to be raised if the attribute is not found.

Tensor.__getattribute__(name, /)

Return getattr(self, name).

Tensor.__getitem__(name, default=None)
Tensor.__gt__(value, /)

Return self>value.

Tensor.__init__(*args, **kwargs)
Tensor.__init_subclass__()

This method is called when a class is subclassed.

The default implementation does nothing. It may be overridden to extend subclasses.

Tensor.__iter__()
Tensor.__le__(value, /)

Return self<=value.

Tensor.__len__()
Tensor.__lt__(value, /)

Return self<value.

Tensor.__ne__(other)
Tensor.__new__(**kwargs)
Tensor.__nonzero__()
Tensor.__reduce__()

Helper for pickle.

Tensor.__reduce_ex__(protocol, /)

Helper for pickle.

Tensor.__repr__()
Tensor.__setattr__(name, value)

Custom property implementation that works if the class is inheriting from AttribDict.

Tensor.__setitem__(key, value)
Tensor.__sizeof__()

Size of object in memory, in bytes.

Tensor.__str__(force_one_line=False)

Fairly extensive in an attempt to cover several use cases. It is always possible to change it in the child class.

classmethod Tensor.__subclasshook__(C)