# ceil()

Numpy Math Functions

Returns array with ceil values of the elements.

ceil : The lowest integer higher than the input number.
 `a` Input array with numbers `out` Optional , ndarray to store result `where` Optional , array with True to get values and False to leave the value

## Examples

We will use the options in our sample scripts.
``````import numpy as np
ar=np.array([1.57, 2.09,  2.79,-3.41,-3.62])
print(np.ceil(ar))``````
Output
``[ 2.  3.  3. -3. -3.]``

## out

We can store the output in an array. We used empty_like() to create array (ar_out) of same shape() of our main array ar.
``````import numpy as np
ar=np.array([1.57, 2.09,  2.79,-3.41,-3.62])
ar_out=np.empty_like(ar)
np.ceil(ar,out=ar_out)
print(ar_out)``````
Output ( the array ar_out stores the output values )
``[ 2.  3.  3. -3. -3.]``

## where

We can exclude elements for which ceil value is not required. This we can decide by using another array filled with True and False.
``````import numpy as np
ar=np.array([1.57, 2.09,  2.79,-3.41,-3.62])
ar_where=np.array([True,False,True,False,True])
print(np.ceil(ar,where=ar_where))``````
Output (ceil() is not applied to our 2nd and 4 elements of the input array )
``[ 2.    2.09  3.   -3.41 -3.  ]`` plus2net.com