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# How to compute the absolute values of a 2D array in Python Maria Elijah

### Overview

In Python, the absolute() method from the numpy module is used to find the absolute values of a NumPy array. This method computes the absolute values of a complex array input. This is done element-wise.

Note: In Python, a list of lists can be used to generate a two-dimensional (2D) array.

### Syntax

numpy.absolute(arr,out=None, where=True,casting='same_kind', order='K', dtype=None,subok=True[, signature, extobj])
-
<ufunc absolute'>)


### Parameters

• arr: This represents the input array.

• out: This specifies where the result is stored. This is an optional parameter.

• where: This represents the condition in which the input gets broadcasted. This is an optional parameter.

• casting: This specifies the kind of casting that is allowed. The value may be no, equiv, safe, same_kind, or unsafe. This is an optional parameter.

• order: This defines the output array’s memory layout and calculation iteration order. Its default value is K.

• C indicates that the output should be C-contiguous.
• F indicates that it should be F-contiguous.
• A indicates that it should be F-contiguous if the inputs are F-contiguous but not also C-contiguous. Otherwise, C-contiguous.
• K indicates that it should closely match the element ordering of the inputs.
• subok: If False is specified, it returns a strict array rather than a subtype. The default is True.

• dtype: It modifies the DType of the output arrays. Its default value is None.

### Return value

This method returns absolute values of an array.

Note: This function is abbreviated as np.abs.

### Example

# import numpy
import numpy as np

# create 2D array using np.array
arr = np.array([[-7,-3.4,1.2 + 1j], [-2,3 + 1j,-9.5]])

print('Abs Arr:', np.absolute(arr), sep='\n')
print('Org Arr:', arr, sep='\n')

print('Abs Arr:', np.absolute(arr, out=arr), sep='\n')
print('Org Arr:', arr, sep='\n')

### Explanation

• Line 5: We create a 2D array called arr using the list of lists, which is then passed as an argument to the method np.array() to convert it to a numpy array.
• Line 7: We use the np.absolute() method to calculate the absolute values of the input array, arr.
• Line 10: We not only use the np.absolute() method to calculate the absolute values of the input array arr, but also store the results in the same array.

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CONTRIBUTOR Maria Elijah
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