-
numpy.isinf(x[, out]) =
-
Test element-wise for positive or negative infinity.
Returns a boolean array of the same shape as
x
, True wherex == +/-inf
, otherwise False.Parameters: x : array_like
Input values
out : array_like, optional
An array with the same shape as
x
to store the result.Returns: y : bool (scalar) or boolean ndarray
For scalar input, the result is a new boolean with value True if the input is positive or negative infinity; otherwise the value is False.
For array input, the result is a boolean array with the same shape as the input and the values are True where the corresponding element of the input is positive or negative infinity; elsewhere the values are False. If a second argument was supplied the result is stored there. If the type of that array is a numeric type the result is represented as zeros and ones, if the type is boolean then as False and True, respectively. The return value
y
is then a reference to that array.Notes
Numpy uses the IEEE Standard for Binary Floating-Point for Arithmetic (IEEE 754).
Errors result if the second argument is supplied when the first argument is a scalar, or if the first and second arguments have different shapes.
Examples
12345678>>> np.isinf(np.inf)
True
>>> np.isinf(np.nan)
False
>>> np.isinf(np.NINF)
True
>>> np.isinf([np.inf,
-
np.inf,
1.0
, np.nan])
array([
True
,
True
,
False
,
False
], dtype
=
bool
)
123456>>> x
=
np.array([
-
np.inf,
0.
, np.inf])
>>> y
=
np.array([
2
,
2
,
2
])
>>> np.isinf(x, y)
array([
1
,
0
,
1
])
>>> y
array([
1
,
0
,
1
])
numpy.isinf()

2025-01-10 15:47:30
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