pandas.api.extensions.ExtensionArray.shift#

ExtensionArray.shift(periods=1, fill_value=None)[source]#

Shift values by desired number.

Newly introduced missing values are filled with self.dtype.na_value.

Parameters:

periodsint, default 1: The number of periods to shift. Negative values are allowed for shifting backwards.
fill_valueobject, optional: The scalar value to use for newly introduced missing values. The default is self.dtype.na_value.

Returns:

See also

api.extensions.ExtensionArray.transpose: Return a transposed view on this array.
api.extensions.ExtensionArray.factorize: Encode the extension array as an enumerated type.

Notes

If self is empty or periods is 0, a copy of self is returned.

If periods > len(self), then an array of size len(self) is returned, with all values filled with self.dtype.na_value.

For 2-dimensional ExtensionArrays, we are always shifting along axis=0.

Examples

>>> arr = pd.array([1, 2, 3])
>>> arr.shift(2)
<IntegerArray>
[<NA>, <NA>, 1]
Length: 3, dtype: Int64