# numpy.true_divide() in Python

(arr1, arr22, /, out=None, *, where=True, casting=’same_kind’, order=’K’, dtype=None, ufunc ‘true_divide’) :
Array element from first array is divided by the elements from second array(all happens element-wise). Both arr1 and arr2 must have same shape. Returns true division element-wise.

Python traditionally follow ‘floor division’. Regardless of input type, true division adjusts answer to its best.
“//” is floor division operator.
“/” is true division operator.

Parameters :

```arr1     : [array_like]Input array or object which works as numerator.
arr2     : [array_like]Input array or object which works as denominator.
out      : [ndarray, None, optional]Output array with same dimensions as Input array,
placed with result.
**kwargs : allows you to pass keyword variable length of argument to a function.
It is used when we want to handle named argument in a function.
where    : [array_like, optional]True value means to calculate the universal
functions(ufunc) at that position, False value means to leave the
value in the output alone.
```

Return :

```If inputs are scalar then scalar; otherwise array with arr1 / arr2(element- wise)
i.e. true division
```

Code 1 : arr1 divided by arr2

 `# Python program explaining ` `# true_divide() function ` `import` `numpy as np ` ` `  `# input_array ` `arr1 ``=` `[``6``, ``7``, ``2``, ``9``, ``1``] ` `arr2 ``=` `[``2``, ``3``, ``4``, ``5``, ``6``] ` `print` `(``"arr1         : "``, arr1) ` `print` `(``"arr1         : "``, arr2) ` ` `  `# output_array ` `out ``=` `np.true_divide(arr1, arr2) ` `print` `(``"\nOutput array : \n"``, out) `

Output :

```arr1         :  [6, 7, 2, 9, 1]
arr1         :  [2, 3, 4, 5, 6]

Output array :
[ 3.          2.33333333  0.5         1.8         0.16666667]
```

Code 2 : elements of arr1 divided by divisor

 `# Python program explaining ` `# true_divide() function ` `import` `numpy as np ` ` `  `# input_array ` `arr1 ``=` `[``2``, ``7``, ``3``, ``11``, ``4``] ` `divisor ``=` `3` `print` `(``"arr1         : "``, arr1) ` ` `  `# output_array ` `out ``=` `np.true_divide(arr1, divisor) ` `print` `(``"\nOutput array : "``, out) `

Output :

```arr1         :  [2, 7, 3, 11, 4]

Output array :  [ 0.66666667  2.33333333  1.          3.66666667  1.33333333]```

Code 3 : Comparison between floor_division(//) and true-division(/)

 `# Python program explaining ` `# true_divide() function ` `import` `numpy as np ` ` `  `# input_array ` `arr1 ``=` `np.arange(``5``) ` `arr2 ``=` `[``2``, ``3``, ``4``, ``5``, ``6``] ` `print` `(``"arr1         : "``, arr1) ` `print` `(``"arr1         : "``, arr2) ` ` `  `# output_array ` `out ``=` `np.floor_divide(arr1, arr2) ` `out_arr ``=` `np.true_divide(arr1, arr2)  ` `print` `(``"\nOutput array with floor divide : \n"``, out) ` `print` `(``"\nOutput array with true divide  : \n"``, out_arr) ` ` `  ` `  `print` `(``"\nOutput array with floor divide(//) : \n"``, arr1``/``/``arr2) ` `print` `(``"\nOutput array with true divide(/)   : \n"``, arr1``/``arr2) `

Output :

```arr1         :  [0 1 2 3 4]
arr1         :  [2, 3, 4, 5, 6]

Output array with floor divide :
[0 0 0 0 0]

Output array with true divide  :
[ 0.          0.33333333  0.5         0.6         0.66666667]

Output array with floor divide(//) :
[0 0 0 0 0]

Output array with true divide(/)   :
[ 0.          0.33333333  0.5         0.6         0.66666667]```

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