obspy.signal.quality_control.DataQualityEncoder

class DataQualityEncoder(*, skipkeys=False, ensure_ascii=True, check_circular=True, allow_nan=True, sort_keys=False, indent=None, separators=None, default=None)

Bases: JSONEncoder

Custom encoder capable of dealing with NumPy and ObsPy types.

Attributes

item_separator
key_separator

Public Methods

default
encode	Return a JSON string representation of a Python data structure.
iterencode	Encode the given object and yield each string representation as available.

Special Methods

DataQualityEncoder.__delattr__(name, /)

Implement delattr(self, name).

DataQualityEncoder.__dir__()

Default dir() implementation.

DataQualityEncoder.__eq__(value, /)

Return self==value.

DataQualityEncoder.__format__(format_spec, /)

Default object formatter.

DataQualityEncoder.__ge__(value, /)

Return self>=value.

DataQualityEncoder.__getattribute__(name, /)

Return getattr(self, name).

DataQualityEncoder.__gt__(value, /)

Return self>value.

DataQualityEncoder.__hash__()

Return hash(self).

DataQualityEncoder.__init__(*, skipkeys=False, ensure_ascii=True, check_circular=True, allow_nan=True, sort_keys=False, indent=None, separators=None, default=None)

Constructor for JSONEncoder, with sensible defaults.

If skipkeys is false, then it is a TypeError to attempt encoding of keys that are not str, int, float or None. If skipkeys is True, such items are simply skipped.

If ensure_ascii is true, the output is guaranteed to be str objects with all incoming non-ASCII characters escaped. If ensure_ascii is false, the output can contain non-ASCII characters.

If check_circular is true, then lists, dicts, and custom encoded objects will be checked for circular references during encoding to prevent an infinite recursion (which would cause an RecursionError). Otherwise, no such check takes place.

If allow_nan is true, then NaN, Infinity, and -Infinity will be encoded as such. This behavior is not JSON specification compliant, but is consistent with most JavaScript based encoders and decoders. Otherwise, it will be a ValueError to encode such floats.

If sort_keys is true, then the output of dictionaries will be sorted by key; this is useful for regression tests to ensure that JSON serializations can be compared on a day-to-day basis.

If indent is a non-negative integer, then JSON array elements and object members will be pretty-printed with that indent level. An indent level of 0 will only insert newlines. None is the most compact representation.

If specified, separators should be an (item_separator, key_separator) tuple. The default is (’, ‘, ‘: ‘) if indent is None and (‘,’, ‘: ‘) otherwise. To get the most compact JSON representation, you should specify (‘,’, ‘:’) to eliminate whitespace.

If specified, default is a function that gets called for objects that can’t otherwise be serialized. It should return a JSON encodable version of the object or raise a TypeError.

DataQualityEncoder.__init_subclass__()

This method is called when a class is subclassed.

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

DataQualityEncoder.__le__(value, /)

Return self<=value.

DataQualityEncoder.__lt__(value, /)

Return self<value.

DataQualityEncoder.__ne__(value, /)

Return self!=value.

DataQualityEncoder.__new__(**kwargs)

DataQualityEncoder.__reduce__()

Helper for pickle.

DataQualityEncoder.__reduce_ex__(protocol, /)

Helper for pickle.

DataQualityEncoder.__repr__()

Return repr(self).

DataQualityEncoder.__setattr__(name, value, /)

Implement setattr(self, name, value).

DataQualityEncoder.__sizeof__()

Size of object in memory, in bytes.

DataQualityEncoder.__str__()

Return str(self).

DataQualityEncoder.__subclasshook__()

Abstract classes can override this to customize issubclass().

This is invoked early on by abc.ABCMeta.__subclasscheck__(). It should return True, False or NotImplemented. If it returns NotImplemented, the normal algorithm is used. Otherwise, it overrides the normal algorithm (and the outcome is cached).