gosling.CsvData

class gosling.CsvData(type=Undefined, url=Undefined, chromosomeField=Undefined, chromosomePrefix=Undefined, genomicFields=Undefined, genomicFieldsToConvert=Undefined, headerNames=Undefined, longToWideId=Undefined, sampleLength=Undefined, separator=Undefined, **kwds)

CsvData schema wrapper

Mapping(required=[type, url]) Any small enough tabular data files, such as tsv, csv, BED, BEDPE, and GFF, can be loaded using “csv” data specification.

Attributes:

typestring

urlstring

Specify the URL address of the data file.

chromosomeFieldstring

Specify the name of chromosome data fields.

chromosomePrefixstring

Specify the chromosome prefix if chromosomes are denoted using a prefix besides “chr” or a number

genomicFieldsList(string)

Specify the name of genomic data fields.

genomicFieldsToConvertList(Mapping(required=[chromosomeField, genomicFields]))

experimental

headerNamesList(string)

Specify the names of data fields if a CSV file does not contain a header.

longToWideIdstring

experimental

sampleLengthfloat

Specify the number of rows loaded from the URL.

__Default:__ 1000

separatorstring

Specify file separator, __Default:__ ‘,’

__init__(type=Undefined, url=Undefined, chromosomeField=Undefined, chromosomePrefix=Undefined, genomicFields=Undefined, genomicFieldsToConvert=Undefined, headerNames=Undefined, longToWideId=Undefined, sampleLength=Undefined, separator=Undefined, **kwds)

Methods

__init__([type, url, chromosomeField, ...])
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