pandas.Series — pandas 3.0.0.dev0+2100.gf496acffcc documentation (original) (raw)

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.

The keys of the dictionary match with the Index values, hence the Index values have no effect.

Note that the Index is first built with the keys from the dictionary. After this the Series is reindexed with the given Index values, hence we get all NaN as a result.

Constructing Series from a list with copy=False.

Due to input data type the Series has a copy of the original data even though copy=False, so the data is unchanged.

Constructing Series from a 1d ndarray with copy=False.

Due to input data type the Series has a view on the original data, so the data is changed as well.