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
andcopy
are currently unsupported.Types iterable and dict as
data
parameter are currently unsupported.