Python Pandas Series

A Series is an ordered collection of somewhat-uniform data that can be indexed.

The type is fully specified as pandas.core.series.Series.

Example

import pandas as pd

pd.Series(["foo", "bar", "baz"])  # 0   foo
                                  # 1   bar
                                  # 2   baz
                                  # dtype: object

Data Model

A Series can be instantiated with any iterable.

Index

By default, a series is indexed by a sequential integer (beginning at 0).

Certain iterables are interpreted as pairs of indices and values.

d = {"First": "foo", "Second": "bar", "Third": "baz"}
s = pd.Series(d)  # First    foo
                  # Second   bar
                  # Third    baz
                  # dtype: object

A second iterable can be specified as explicit indices.

d = ["foo", "bar", "baz"]
i = ["First", "Second", "Third"]
s = pd.Series(d, i)
s = pd.Series(d, index=i)
s = pd.Series(data=d, index=i)

DType

A series without significant consistency of data types with initialize with a dtype of object. Alternatives include:

• int64

• float64

• datetime64

• bool

• category

Attributes

Methods

These methods return numpy.float64 values unless otherwise specified.

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