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Display the Numerical positive and negative element-wise in Numpy
To display the Numerical negative, use the np.negative() method in Python Numpy. 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
Create an array −
arr = np.array([-3, 6, 9, -12, -24, 30, -55])
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 display the Numerical positive, use the np.positive() method in Python Numpy −
print("
Numerical positive...
",np.positive(arr))To display the Numerical negative, use the np.negative() method in Python Numpy −
print("
Numerical negative...
",np.negative(arr))
Example
import numpy as np
# Create an array
arr = np.array([-3, 6, 9, -12, -24, 30, -55])
# 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 display the Numerical positive, use the np.positive() method in Python Numpy
print("
Numerical positive...
",np.positive(arr))
# To display the Numerical negative, use the np.negative() method in Python Numpy
print("
Numerical negative...
",np.negative(arr))Output
Array... [ -3 6 9 -12 -24 30 -55] Our Array type... int64 Our Array Dimension... 1 Our Array Shape... (7,) Numerical positive... [ -3 6 9 -12 -24 30 -55] Numerical negative... [ 3 -6 -9 12 24 -30 55]
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