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Return the natural logarithm of one plus the input array element-wise in Numpy
To return the natural logarithm of one plus the input array, element-wise., use the numpy.log1p() method in Python Numpy. It calculates log(1 + x).
For complex-valued input, log1p is a complex analytical function that has a branch cut [-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.
Steps
At first, import the required library −
import numpy as np
Create an array using the array() method −
arr = np.array([1e-15, 10000, 1e-99])
Display the array −
print("Array...
", arr)Get the type of the array −
print("
Our Array type...
", arr.dtype)
Get the dimensions of the Array −
print("
Our Array Dimension...
",arr.ndim)Get the shape of the Array −
print("
Our Array Shape...
",arr.shape)
To return the natural logarithm of one plus the input array, element-wise., use the numpy.log1p() method. Calculates log(1 + x) −
print("
Result...
",np.log1p(arr))Example
import numpy as np
# Create an array using the array() method
arr = np.array([1e-15, 10000, 1e-99])
# Display the array
print("Array...
", arr)
# Get the type of the array
print("
Our Array type...
", arr.dtype)
# Get the dimensions of the Array
print("
Our Array Dimension...
",arr.ndim)
# Get the shape of the Array
print("
Our Array Shape...
",arr.shape)
# To return the natural logarithm of one plus the input array, element-wise., use the numpy.log1p() method in Python Numpy
# Calculates log(1 + x).
print("
Result...
",np.log1p(arr))Output
Array... [1.e-15 1.e+04 1.e-99] Our Array type... float64 Our Array Dimension... 1 Our Array Shape... (3,) Result... [1.00000000e-15 9.21044037e+00 1.00000000e-99]
Updated on: 08-Feb-2022
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