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| = Python Pandas Series = A '''`Series`''' is an ordered collection of somewhat-uniform data that can be indexed. The [[Python/Pandas/Types|type]] is fully specified as `pandas.core.series.Series`. <<TableOfContents>> ---- == 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 [[Python/Collections/Abc#Iterable|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` === Dunder Methods === `Series` objects support all of the [[Python/DunderMethod|dunder methods]] implied by a [[Python/Collections/Abc#Sequence|sequence]], e.g. `len()` and `sorted()`. ---- == Attributes == ||'''Method'''||'''Meaning''' || ||`iloc` ||[[Python/Pandas/Types#A_ILocIndexer|indexable accessor of member values]] || ||`index` ||[[Python/Pandas/Types|RangeIndex]] containing the member indices || ||`is_unique` ||[[Python/Builtins/Types#Bool|bool]] representing if all member values are unique|| ||`loc` ||[[Python/Pandas/Types#A_LocIndexer|indexable accessor of member values]] || ||`size` ||[[Python/Builtins/Types#Int|int]] count of member values || ||`values` ||[[Python/NumPy/Types|numpy.ndarray]] containing the member values || ---- == Methods == These methods return [[Python/NumPy/Types|numpy.float64]] values unless otherwise specified. ||'''Method''' ||'''Meaning''' ||'''Example''' || ||`get` ||return the value from an index or a default ||`s.get("foo", default=None)` || ||`head` ||return a `Series` of the first N member values ||`s.head(5)` || ||`mean` ||return mean value || || ||`product` ||return product from multiplying all member values|| || ||`sort_index` ||return a `Series` sorted by indices ||`s.sort_index(ascending=True)` || ||`sort_values`||return a `Series` sorted by values ||`s.sort_values(ascending=True)` || ||`std` ||return standard deviation of values || || ||`sum` ||return sum from adding all member values || || ||`tail` ||return a `Series` of the last N member values ||`s.tail(5)` || Note that the `get` method can take a list of indices to look up. A new `Series` will be returned if all indices exist, and the singleton default will be returned otherwise. ---- CategoryRicottone |
