pandas will recognize instances of this class as proper arrays with a custom type and will not attempt to coerce them to objects. They may be stored directly inside a DataFrame
or Series
.
The interface includes the following abstract methods that must be implemented by subclasses:
_from_sequence
_from_factorized
__getitem__
__len__
__eq__
dtype
nbytes
isna
take
copy
_concat_same_type
A default repr displaying the type, (truncated) data, length, and dtype is provided. It can be customized or replaced by by overriding:
You define a _HANDLED_TYPES
tuple as an attribute on the class.
Pandas inspect this to determine whether the ufunc is valid for the types present.
See extending.extension.ufunc
for more.
By default, ExtensionArrays are not hashable. Immutable subclasses may override this behavior.
Abstract base class for custom 1-D array types.
The following pages refer to to this document either explicitly or contain code examples using this.
pandas.core.arrays.base.ExtensionArray._mode
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