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Return an element-wise indication of the sign of a number in Numpy
To return an element-wise indication of the sign of a number, use the numpy.sign() method in Python Numpy.
The sign function returns -1 if x < 0, 0 if x==0, 1 if x > 0. nan is returned for nan inputs. For complex inputs, the sign function returns sign(x.real) + 0j if x.real != 0 else sign(x.imag) + 0j.
The complex(nan, 0) is returned for complex nan inputs. There is more than one definition of sign in common use for complex numbers. The definition used here is equivalent to x/x*x which is different from a common alternative, x/|x|.
Steps
At first, import the required library −
import numpy as np
Create an array with float type using the array() method −
arr = np.array([50.8, 120.3, 200.7, -320.1, -450.4, 0])
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 an element-wise indication of the sign of a number, use the numpy.sign() method −
print("
Result...
",np.sign(arr))Example
import numpy as np
# Create an array with float type using the array() method
arr = np.array([50.8, 120.3, 200.7, -320.1, -450.4, 0])
# 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 an element-wise indication of the sign of a number, use the numpy.sign() method in Python Numpy
print("
Result...
",np.sign(arr))Output
Array... [ 50.8 120.3 200.7 -320.1 -450.4 0. ] Our Array type... float64 Our Array Dimension... 1 Our Array Shape... (6,) Result... [ 1. 1. 1. -1. -1. 0.]
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