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| = Python Pandas DataFrame = A '''`DataFrame`''' is a 2-dimensional array of columnar data. The [[Python/Pandas/Types|type]] is fully specified as `pandas.core.frame.DataFrame`. <<TableOfContents>> ---- == Example == ---- == Data Model == === DType === A column without significant consistency of data types will initialize with a [[Python/NumPy/Types#ObjectDType|dtype]] of `object`. Alternatives include: * `int64` * `float64` * `datetime64` * `bool` * `category` ---- == Attrbibutes == ||'''Method'''||'''Meaning''' || ||`axes` ||[[Python/Builtins/Types#List|list]] containing the values of the `index` and `columns` attributed || ||`columns` ||[[Python/Pandas/Types#Index|Index]] listing the column names || ||`dtypes` ||[[Python/Pandas/Series|Series]] listing the [[Python/NumPy/Types#ObjectDType|dtype]] of each column || ||`iloc` ||[[Python/Pandas/Types#A_ILocIndexer|indexable accessor of member values]] || ||`index` ||[[Python/Pandas/Types|RangeIndex]] containing the member indices || ||`loc` ||[[Python/Pandas/Types#A_LocIndexer|indexable accessor of member values]] || ||`shape` ||[[Python/Builtins/Types#Tuple|tuple]] of 2 [[Python/Builtins/Types#Int|ints]] representing number of rows and columns|| ||`size` ||`int` count of member values || ||`values` ||nested [[Python/NumPy/Types#NDArray|numpy.ndarray]] containing the member values || ---- == Methods == These methods return [[Python/NumPy/Types#Float64|numpy.float64]] values unless otherwise specified. ||'''Method'''||'''Meaning''' ||'''Example''' || ||`head` ||return a new `DataFrame` of the first N rows ||`df.head(5)` || ||`info` ||print information including types and null values || || ||`squeeze` ||return a [[Python/Pandas/Series|Series]] view of the frame|| || ||`sum` ||return a `Series` of sums for each row or column ||`df.sum(axis="columns"); df.sum(axis="index")`|| ||`tail` ||return a new `DataFrame` of the last N rows ||`df.tail(5)` || ---- CategoryRicottone |
