expm1(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj])

Some inconsistencies with the Dask version may exist.

Calculate exp(x) - 1 for all elements in the array.

Notes

This function provides greater precision than exp(x) - 1 for small values of x .

Parameters

x : array_like

Input values.

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

This condition is broadcast over the input. At locations where the condition is True, the :None:None:`out` array will be set to the ufunc result. Elsewhere, the :None:None:`out` array will retain its original value. Note that if an uninitialized :None:None:`out` array is created via the default out=None , locations within it where the condition is False will remain uninitialized.

**kwargs :

For other keyword-only arguments, see the ufunc docs <ufuncs.kwargs> .

Returns

out : ndarray or scalar

Element-wise exponential minus one: out = exp(x) - 1 . This is a scalar if x is a scalar.

This docstring was copied from numpy.expm1.

See Also

log1p

log(1 + x) , the inverse of expm1.

Examples

The true value of exp(1e-10) - 1 is 1.00000000005e-10 to about 32 significant digits. This example shows the superiority of expm1 in this case.

This example is valid syntax, but we were not able to check execution

>>> np.expm1(1e-10)  # doctest: +SKIP
1.00000000005e-10

This example is valid syntax, but we were not able to check execution

>>> np.exp(1e-10) - 1  # doctest: +SKIP
1.000000082740371e-10

See :

Back References

The following pages refer to to this document either explicitly or contain code examples using this.

dask.array.ufunc.exp dask.array.ufunc.log1p

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