log1p(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True[, signature, extobj])
Some inconsistencies with the Dask version may exist.
Return the natural logarithm of one plus the input array, element-wise.
Calculates log(1 + x)
.
For real-valued input, log1p
is accurate also for x
so small that :None:None:`1 + x == 1`
in floating-point accuracy.
Logarithm is a multivalued function: for each x
there is an infinite number of :None:None:`z`
such that :None:None:`exp(z) = 1 + x`
. The convention is to return the :None:None:`z`
whose imaginary part lies in :None:None:`[-pi, pi]`
.
For real-valued input data types, log1p
always returns real output. For each value that cannot be expressed as a real number or infinity, it yields nan
and sets the :None:None:`invalid`
floating point error flag.
For complex-valued input, log1p
is a complex analytical function that has a branch cut :None:None:`[-inf, -1]`
and is continuous from above on it. log1p
handles the floating-point negative zero as an infinitesimal negative number, conforming to the C99 standard.
Input values.
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.
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.
For other keyword-only arguments, see the ufunc docs <ufuncs.kwargs>
.
Natural logarithm of :None:None:`1 + x`
, element-wise. This is a scalar if x
is a scalar.
This docstring was copied from numpy.log1p.
expm1
exp(x) - 1
, the inverse of :None:None:`log1p`
.
>>> np.log1p(1e-99) # doctest: +SKIP 1e-99This example is valid syntax, but we were not able to check execution
>>> np.log(1 + 1e-99) # doctest: +SKIP 0.0See :
The following pages refer to to this document either explicitly or contain code examples using this.
dask.array.ufunc.expm1
dask.array.ufunc.log2
dask.array.ufunc.log1p
dask.array.ufunc.log
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