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# Return the next floating-point value after a zero-dimensional array value towards another value in Numpy

To return the next floating-point value after a value towards another value, element-wise., use the **numpy.nextafter()** method in Python Numpy. The 1st parameter is the value to find the next representable value of. The 2nd parameter is the direction where to look for the next representable value.

The function returns the next representable values of x1 in the direction of x2. This is a scalar if both x1 and x2 are scalars.

The out is 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.

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

## Steps

At first, import the required library −

import numpy as np

Creating two zero dimensional numpy array using the array() method −

arr1 = np.array(0.1) arr2 = np.array(-np.inf)

Display the arrays −

print("Array 1...

", arr1) print("

Array 2...

", arr2)

Get the type of the arrays −

print("

Our Array 1 type...

", arr1.dtype) print("

Our Array 2 type...

", arr2.dtype)

Get the dimensions of the Arrays −

print("

Our Array 1 Dimensions...

",arr1.ndim) print("

Our Array 2 Dimensions...

",arr2.ndim)

To return the next floating-point value after a value towards another value, element-wise., use the numpy.nextafter() method in Python Numpy. The 1st parameter is the value to find the next representable value of. The 2nd parameter is the direction where to look for the next representable value −

print("

Result...

",np.nextafter(arr1, arr2))

## Example

import numpy as np # Creating two zero dimensional numpy array using the array() method arr1 = np.array(0.1) arr2 = np.array(-np.inf) # Display the arrays print("Array 1...

", arr1) print("

Array 2...

", arr2) # Get the type of the arrays print("

Our Array 1 type...

", arr1.dtype) print("

Our Array 2 type...

", arr2.dtype) # Get the dimensions of the Arrays print("

Our Array 1 Dimensions...

",arr1.ndim) print("

Our Array 2 Dimensions...

",arr2.ndim) # To return the next floating-point value after a value towards another value, element-wise., use the numpy.nextafter() method in Python Numpy # The 1st parameter is the value to find the next representable value of. # The 2nd parameter is the direction where to look for the next representable value. print("

Result...

",np.nextafter(arr1, arr2))

## Output

Array 1... 0.1 Array 2... -inf Our Array 1 type... float64 Our Array 2 type... float64 Our Array 1 Dimensions... 0 Our Array 2 Dimensions... 0 Result... 0.09999999999999999

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