Shift values by desired number.
Newly introduced missing values are filled with self.dtype.na_value
.
The number of periods to shift. Negative values are allowed for shifting backwards.
The scalar value to use for newly introduced missing values. The default is self.dtype.na_value
.
Shifted.
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
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