# pandas.Series¶

One-dimensional ndarray with axis labels (including time series).

Labels need not be unique but must be a hashable type. The object supports both integer- and label-based indexing and provides a host of methods for performing operations involving the index. Statistical methods from ndarray have been overridden to automatically exclude missing data (currently represented as NaN).

Operations between Series (+, -, /, *, **) align values based on their associated index values– they need not be the same length. The result index will be the sorted union of the two indexes.

- param data
- array-like, Iterable, dict, or scalar value
Contains data stored in Series.

Changed in version 0.23.0.

and later.

- param index
- array-like or Index (1d)
Values must be hashable and have the same length as data. Non-unique index values are allowed. Will default to RangeIndex (0, 1, 2, …, n) if not provided. If both a dict and index sequence are used, the index will override the keys found in the dict.

- param dtype
- str, numpy.dtype, or ExtensionDtype, optional
Data type for the output Series. If not specified, this will be inferred from data. See the user guide for more usages.

- param copy
- bool, default False
Copy input data.

## Limitations¶

Parameters

`dtype`

and`copy`

are currently unsupported.Types iterable and dict as

`data`

parameter are currently unsupported.