gosling.MatrixData

class gosling.MatrixData(type=Undefined, url=Undefined, binSize=Undefined, column=Undefined, row=Undefined, value=Undefined, **kwds)

MatrixData schema wrapper

Mapping(required=[type, url])

Attributes:

typestring

urlstring

URL link to the matrix data file

binSizefloat

Determine the number of nearby cells to aggregate. __Default__: 1

columnstring

The name of the first genomic field. __Default__: x

rowstring

The name of the first genomic field. __Default__: y

valuestring

The name of the value field. __Default__: value

__init__(type=Undefined, url=Undefined, binSize=Undefined, column=Undefined, row=Undefined, value=Undefined, **kwds)

Methods

__init__([type, url, binSize, column, row, ...])
copy([deep, ignore])	Return a copy of the object
from_dict(dct[, validate, _wrapper_classes])	Construct class from a dictionary representation
from_json(json_string[, validate])	Instantiate the object from a valid JSON string
resolve_references([schema])	Resolve references in the context of this object's schema or root schema.
to_dict([validate, ignore, context])	Return a dictionary representation of the object
to_json([validate, ignore, context, indent, ...])	Emit the JSON representation for this object as a string.
validate(instance[, schema])	Validate the instance against the class schema in the context of the rootschema.
validate_property(name, value[, schema])	Validate a property against property schema in the context of the rootschema