pandas.arrays.PandasArray

class pandas.arrays.PandasArray(values, copy=False) [source]

A pandas ExtensionArray for NumPy data.

New in version 0.24.0.

This is mostly for internal compatibility, and is not especially useful on its own.

Parameters:	values : ndarray The NumPy ndarray to wrap. Must be 1-dimensional. copy : bool, default False Whether to copy values.

Notes

Operations like + and applying ufuncs requires NumPy>=1.13.

Attributes

dtype	An instance of ‘ExtensionDtype’.
nbytes	The number of bytes needed to store this object in memory.
ndim	Extension Arrays are only allowed to be 1-dimensional.
shape	Return a tuple of the array dimensions.

Methods

argsort([ascending, kind])	Return the indices that would sort this array.
astype(dtype[, copy])	Cast to a NumPy array with ‘dtype’.
copy([deep])	Return a copy of the array.
dropna()	Return ExtensionArray without NA values
factorize([na_sentinel])	Encode the extension array as an enumerated type.
fillna([value, method, limit])	Fill NA/NaN values using the specified method.
isna()	A 1-D array indicating if each value is missing.
repeat(repeats[, axis])	Repeat elements of a ExtensionArray.
searchsorted(value[, side, sorter])	Find indices where elements should be inserted to maintain order.
shift([periods, fill_value])	Shift values by desired number.
take(indices[, allow_fill, fill_value])	Take elements from an array.
to_numpy([dtype, copy])	Convert the PandasArray to a numpy.ndarray.
unique()	Compute the ExtensionArray of unique values.

all
any
kurt
max
mean
median
min
prod
sem
skew
std
sum
var