xarray.ufuncs.isnan¶
- xarray.ufuncs.isnan = <xarray.ufuncs._UFuncDispatcher object at 0x7f7e17890bd0>¶
xarray specific variant of numpy.isnan. Handles xarray.Dataset, xarray.DataArray, xarray.Variable, numpy.ndarray and dask.array.Array objects with automatic dispatching.
Documentation from numpy:
isnan(x[, out])
Test element-wise for NaN and return result as a boolean array.
Parameters: x : array_like
Input array.
Returns: y : ndarray or bool
For scalar input, the result is a new boolean with value True if the input is NaN; otherwise the value is False.
For array input, the result is a boolean array of the same dimensions as the input and the values are True if the corresponding element of the input is NaN; otherwise the values are False.
Notes
Numpy uses the IEEE Standard for Binary Floating-Point for Arithmetic (IEEE 754). This means that Not a Number is not equivalent to infinity.
Examples
>>> np.isnan(np.nan) True >>> np.isnan(np.inf) False >>> np.isnan([np.log(-1.),1.,np.log(0)]) array([ True, False, False], dtype=bool)