altair.DsvDataFormat

class altair.DsvDataFormat(delimiter=Undefined, parse=Undefined, type=Undefined, **kwds)

DsvDataFormat schema wrapper.

Parameters:

delimiterstr

The delimiter between records. The delimiter must be a single character (i.e., a single 16-bit code unit); so, ASCII delimiters are fine, but emoji delimiters are not.

parsedict, Parse, None

If set to null, disable type inference based on the spec and only use type inference based on the data. Alternatively, a parsing directive object can be provided for explicit data types. Each property of the object corresponds to a field name, and the value to the desired data type (one of "number", "boolean", "date", or null (do not parse the field)). For example, "parse": {"modified_on": "date"} parses the modified_on field in each input record a Date value.

For "date", we parse data based using JavaScript’s Date.parse(). For Specific date formats can be provided (e.g., {foo: "date:'%m%d%Y'"}), using the d3-time-format syntax. UTC date format parsing is supported similarly (e.g., {foo: "utc:'%m%d%Y'"}). See more about UTC time

typeLiteral[‘dsv’]

Type of input data: "json", "csv", "tsv", "dsv".

Default value: The default format type is determined by the extension of the file URL. If no extension is detected, "json" will be used by default.

__init__(delimiter=Undefined, parse=Undefined, type=Undefined, **kwds)

Methods

__init__([delimiter, parse, type])
copy([deep, ignore])	Return a copy of the object.
from_dict(dct[, validate])	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, indent, sort_keys, ...])	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.