xarray.ufuncs.floor¶
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xarray.ufuncs.
floor
= <xarray.ufuncs._UFuncDispatcher object>¶ xarray specific variant of numpy.floor. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
Documentation from numpy:
floor(x, /, out=None, *, where=True, casting=’same_kind’, order=’K’, dtype=None, subok=True[, signature, extobj])
Return the floor of the input, element-wise.
The floor of the scalar x is the largest integer i, such that i <= x. It is often denoted as \(\lfloor x \rfloor\).
Parameters: - x : array_like
Input data.
- out : ndarray, None, or tuple of ndarray and None, optional
A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.
- where : array_like, optional
Values of True indicate to calculate the ufunc at that position, values of False indicate to leave the value in the output alone.
- **kwargs
For other keyword-only arguments, see the ufunc docs.
Returns: - y : ndarray or scalar
The floor of each element in x.
Notes
Some spreadsheet programs calculate the “floor-towards-zero”, in other words
floor(-2.5) == -2
. NumPy instead uses the definition of floor where floor(-2.5) == -3.Examples
>>> a = np.array([-1.7, -1.5, -0.2, 0.2, 1.5, 1.7, 2.0]) >>> np.floor(a) array([-2., -2., -1., 0., 1., 1., 2.])