tiled.adapters.csv.CSVAdapter

class tiled.adapters.csv.CSVAdapter(data_uris: Iterable[str], structure: TableStructure | None = None, *, metadata: Mapping[str, str | int | float | Mapping[str, JSON_ITEM] | Sequence[JSON_ITEM] | None] | None = None, specs: List[Spec] | None = None, **kwargs: Any | None)

Adapter for tabular data stored as partitioned text (csv) files

__init__(data_uris: Iterable[str], structure: TableStructure | None = None, *, metadata: Mapping[str, str | int | float | Mapping[str, JSON_ITEM] | Sequence[JSON_ITEM] | None] | None = None, specs: List[Spec] | None = None, **kwargs: Any | None) → None

Adapter for partitioned tabular data stored as a sequence of text (csv) files

Parameters:

data_urislist of uris to csv files

structure

metadata

specs

kwargsdict

any keyword arguments that can be passed to the pandas.read_csv function, e.g. names, sep, dtype, etc.

Methods

__class_getitem__	Parameterizes a generic class.
__delattr__(name, /)	Implement delattr(self, name).
__dir__(/)	Default dir() implementation.
__eq__(value, /)	Return self==value.
__format__(format_spec, /)	Default object formatter.
__ge__(value, /)	Return self>=value.
__getattribute__(name, /)	Return getattr(self, name).
__getitem__(key)	Get an ArrayAdapter for a single column
__getstate__(/)	Helper for pickle.
__gt__(value, /)	Return self>value.
__hash__(/)	Return hash(self).
__init__(data_uris[, structure, metadata, specs])	Adapter for partitioned tabular data stored as a sequence of text (csv) files
__init_subclass__	Function to initialize subclasses.
__le__(value, /)	Return self<=value.
__lt__(value, /)	Return self<value.
__ne__(value, /)	Return self!=value.
__new__(*args, **kwargs)
__reduce__(/)	Helper for pickle.
__reduce_ex__(protocol, /)	Helper for pickle.
__repr__()	Return repr(self).
__setattr__(name, value, /)	Implement setattr(self, name, value).
__sizeof__(/)	Size of object in memory, in bytes.
__str__(/)	Return str(self).
__subclasshook__	Abstract classes can override this to customize issubclass().
append_partition(partition, data)	Append data to an existing partition
from_catalog(data_source, node, /, **kwargs)
from_uris(*data_uris, **kwargs)
generate_data_sources(mimetype, ...)
get(key)
init_storage(storage, data_source, path_parts)	Initialize partitioned CSV storage
items()	Iterator over table columns
metadata()
read([fields])
read_partition(indx[, fields])	Read a single partition
structure()
supported_storage()
write(data)	Default writing function to a dataset with a single partition
write_partition(partition, data)	Write data to a new partition or overwrite an existing one

Attributes

__abstractmethods__
__annotations__
__dict__
__doc__
__module__
__orig_bases__
__parameters__
__slots__
__weakref__	list of weak references to the object
_abc_impl
specs
structure_family