# Return the next floating-point value and store the result in a new location in Numpy

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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 new location where we will store the result is a new array.

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 array −

print("Array 1...", arr1)
print("Array 2...", arr2)

Get the type of the array −

print("Our Array 1 type...", arr1.dtype)
print("Our Array 2 type...", arr2.dtype)

Get the dimensions of the Array −

print("Our Array 1 Dimensions...",arr1.ndim)
print("Our Array 2 Dimensions...",arr2.ndim)

Create another array with the same shape to store the result −

arrRes = np.array(8.7)


To return the next floating-point value after a value towards another value, element-wise, use the numpy.nextafter() method. The new location where we will store the result is arrRes −

print("The next floating-point value...",np.nextafter(arr1, arr2, arrRes))

Check the value of the new array where our result is stored −

print("Result...",arrRes)


## 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)

# Create another array with the same shape to store the result
arrRes = np.array(8.7)

# 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 new location where we will store the result is arrRes
print("The next floating-point value...",np.nextafter(arr1, arr2, arrRes))

# Check the value of the new array where our result is stored
print("Result...",arrRes)

## 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

The next floating-point value...
0.09999999999999999

Result...
0.09999999999999999
Updated on 08-Feb-2022 06:15:42