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numpy.floor() in Python
• Last Updated : 04 Dec, 2020

The numpy.floor) is a mathematical function that returns the floor of the elements of array. The floor of the scalar x is the largest integer i, such that i <= x.

Syntax : numpy.floor(x[, out]) = ufunc ‘floor’)
Parameters :
a : [array_like] Input array

Return : The floor of each element.

Code #1 : Working

 `# Python program explaining``# floor() function`` ` `import` `numpy as np`` ` `in_array ``=` `[.``5``, ``1.5``, ``2.5``, ``3.5``, ``4.5``, ``10.1``]``print` `(``"Input array : \n"``, in_array)`` ` `flooroff_values ``=` `np.floor(in_array)``print` `(``"\nRounded values : \n"``, flooroff_values)`` ` ` ` `in_array ``=` `[.``53``, ``1.54``, .``71``]``print` `(``"\nInput array : \n"``, in_array)`` ` `flooroff_values ``=` `np.floor(in_array)``print` `(``"\nRounded values : \n"``, flooroff_values)`` ` `in_array ``=` `[.``5538``, ``1.33354``, .``71445``]``print` `(``"\nInput array : \n"``, in_array)`` ` `flooroff_values ``=` `np.floor(in_array)``print` `(``"\nRounded values : \n"``, flooroff_values)`

Output :

```Input array :
[0.5, 1.5, 2.5, 3.5, 4.5, 10.1]

Rounded values :
[  0.   1.   2.   3.   4.  10.]

Input array :
[0.53, 1.54, 0.71]

Rounded values :
[ 0.  1.  0.]

Input array :
[0.5538, 1.33354, 0.71445]

Rounded values :
[ 0.  1.  0.]```

Code #2 : Working

 `# Python program explaining``# floor() function``import` `numpy as np`` ` `in_array ``=` `[``1.67``, ``4.5``, ``7``, ``9``, ``12``]``print` `(``"Input array : \n"``, in_array)`` ` `flooroff_values ``=` `np.floor(in_array)``print` `(``"\nRounded values : \n"``, flooroff_values)`` ` ` ` `in_array ``=` `[``133.000``, ``344.54``, ``437.56``, ``44.9``, ``1.2``]``print` `(``"\nInput array : \n"``, in_array)`` ` `flooroff_values ``=` `np.floor(in_array)``print` `(``"\nRounded values upto 2: \n"``, flooroff_values)`

Output :

```Input array :
[1.67, 4.5, 7, 9, 12]

Rounded values :
[  1.   4.   7.   9.  12.]

Input array :
[133.0, 344.54, 437.56, 44.9, 1.2]

Rounded values upto 2:
[ 133.  344.  437.   44.    1.]
```

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