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Return the base 10 logarithm of the input array element-wise in Numpy
To return the base 10 logarithm of the input array, element-wise, use the numpy.log10() method in Python Numpy. For real-valued input data types, log10 always returns real output. For each value that cannot be expressed as a real number or infinity, it yields nan and sets the invalid floating point error flag.
Returns the logarithm to the base 10 of x, element-wise. NaNs are returned where x is negative. This is a scalar if x is a scalar.
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.
Steps
At first, import the required library −
import numpy as np
Create an array using the array() method −
arr = np.array([1e-15, 10000])
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 base 10 logarithm of the input array, element-wise, use the numpy.log10() method. For real-valued input data types, log10 always returns real output. For each value that cannot be expressed as a real number or infinity, it yields nan and sets the invalid floating point error flag −
print("
Result...
",np.log10(arr))Example
import numpy as np
# Create an array using the array() method
arr = np.array([1e-15, 10000])
# 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 base 10 logarithm of the input array, element-wise, use the numpy.logaddexp() method in Python Numpy
# For real-valued input data types, log10 always returns real output.
# For each value that cannot be expressed as a real number or infinity,
# it yields nan and sets the invalid floating point error flag.
print("
Result...
",np.log10(arr))Output
Array... [1.e-15 1.e+04] Our Array type... float64 Our Array Dimension... 1 Our Array Shape... (2,) Result... [-15. 4.]
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