pandas 1.4.2

AttributesMethodsNotesBackRef

Attributes

dtype :
nbytes :
ndim :
shape :

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 .

Methods

Notes

The interface includes the following abstract methods that must be implemented by subclasses:

A default repr displaying the type, (truncated) data, length, and dtype is provided. It can be customized or replaced by by overriding:

  1. 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.

Examples

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

pandas.core.arrays.base.ExtensionArray._mode

Local connectivity graph

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SVG is more flexible but power hungry; and does not scale well to 50 + nodes.

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File: /pandas/core/arrays/base.py#106
type: <class 'type'>
Commit: