Pandas Series property: array
An ExtensionArray in Pandas
The ExtensionArray of the data backing Pandas Series or Index.
Syntax:
Series.array
Returns: ExtensionArray - An ExtensionArray of the values stored within.
For extension types, this is the actual array.
For NumPy native types, this is a thin (no copy) wrapper around numpy.ndarray.
Following table lays out the different array types for each extension dtype within pandas.
| dtype | array type |
|---|---|
| category | Categorical |
| period | PeriodArray |
| interval | IntervalArray |
| IntegerNA | IntegerArray |
| datetime64[ns, tz] | DatetimeArray |
For any 3rd-party extension types, the array type will be an ExtensionArray.
For all remaining dtypes .array will be a arrays.NumpyExtensionArray wrapping the actual ndarray stored within. If you absolutely need a NumPy array (possibly with copying / coercing data), then use Series.to_numpy() instead.
Example:
Download the Pandas Series Notebooks from here.
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Next: Series as ndarray or ndarray-like in Pandas
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