DataSchema

class DataSchema

Data schema description.

__init__(*args, **kwargs)

__new__(*args, **kwargs)

Attributes

DataSchema.features
DataSchema.additional_data

Methods

DataSchema.clear()
DataSchema.copy()
DataSchema.fromkeys(iterable[, value])	Create a new dictionary with keys from iterable and values set to value.
DataSchema.get(key[, default])	Return the value for key if key is in the dictionary, else default.
DataSchema.items()
DataSchema.keys()
DataSchema.pop(key[, default])	If the key is not found, return the default if given; otherwise, raise a KeyError.
DataSchema.popitem(/)	Remove and return a (key, value) pair as a 2-tuple.
DataSchema.setdefault(key[, default])	Insert key with a value of default if key is not in the dictionary.
DataSchema.update([E, ]**F)	If E is present and has a .keys() method, then does: for k in E: D[k] = E[k] If E is present and lacks a .keys() method, then does: for k, v in E: D[k] = v In either case, this is followed by: for k in F: D[k] = F[k]
DataSchema.values()

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DeepchecksColumns.zfill

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DataSchema.features