blosc2.var

blosc2.var(ndarr: NDArray | NDField | C2Array | LazyExpr, axis: int | tuple[int] | None = None, dtype: dtype = None, ddof: int = 0, keepdims: bool = False, **kwargs: dict) → ndarray | NDArray | int | float | bool

Return the variance along the specified axis.

The parameters are documented in the std.

Returns:

var_along_axis – The variance of the elements along the axis.

Return type:

np.ndarray or NDArray or scalar

References

np.var

Examples

>>> import numpy as np
>>> import blosc2
>>> # Create an instance of NDArray with some data
>>> array = np.array([[1, 2, 3], [4, 5, 6]])
>>> nd_array = blosc2.asarray(array)
>>> # Compute the variance of the entire array
>>> var_all = blosc2.var(nd_array)
>>> print("Variance of the entire array:", var_all)
Variance of the entire array: 2.9166666666666665
>>> # Compute the variance along axis 0 (columns)
>>> var_axis0 = blosc2.var(nd_array, axis=0)
>>> print("Variance along axis 0:", var_axis0)
Variance along axis 0: [2.25 2.25 2.25]