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Maria Elijah

The python library, NumPy, has a method called `true_divide()`

which can be used to compute the true divide of two input arrays.

`numpy.true_divide()`

methodThe ** numpy.true_divide() method** returns a true division, element-wise (element by element).

Note:A two-dimensional (2D) array can be created using a list of lists in Python.

```
numpy.true_divide(x1, x2, dtype=None, out=None)
```

: This represents the dividend array.`x1`

: This represents the divisor array.`x2`

: This is an optional parameter. It represents the return type of the array.`dtype`

: This is an optional parameter. It represents the alternative output array in which the result is to be placed.`out`

Note:If`x1`

and`x2`

have distinct shapes, they must be able to be broadcasted to a common shape for output representation.

The `numpy.true_divide()`

method returns scalar if the inputs are scalar. Otherwise, it returns an array `(x1/x2)`

.

Note:In Python, the operator`/`

represents a true division. This is equivalent to the function`true_divide()`

.

The following code shows how to use the `numpy.true_divide()`

method for two-dimensional (2D) arrays.

# import numpy import numpy as np # create a two 2D arrays x1 = np.array([[2,6,5],[3,4,8]]) x2 = np.array([[1,7,2],[10,9,4]]) # divide the 2D arrays # and store the result in result result = np.true_divide(x1, x2) print(result)

Implementation of np.true_divide() method

- Line 2: We import the
`numpy`

library. - Lines 4–5: We create two 2D arrays called
`x1`

, and`x2`

. - Line 9: We use the
`np.true_divide()`

to divide the arrays`x1`

and`x2`

. The result is stored in a new variable called`result`

. - Line 11: We display the result.

RELATED TAGS

python3

numpy

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Maria Elijah

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