NumPy - trunc() function
The NumPy trunc() function returns the truncated value of the input, element-wise. The truncated value of the scalar x is the nearest integer i which is closer to zero than x is.
Syntax
numpy.trunc(x, out=None)
Parameters
x |
Required. Specify array_like as input array. |
out |
Optional. Specify a location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned. |
Return Value
Returns an array containing the truncated values if out=None. If an output array is specified, a reference to out is returned.
Example:
The example below shows the usage of trunc() function.
import numpy as np
Arr = np.array([[3.4,5.4],[-7.2,-15.4]])
print("Arr is:")
print(Arr )
#truncate the value (rounding to
#nearest integer towards zero)
print("\nTruncated Array is:")
print(np.trunc(Arr))
The output of the above code will be:
Arr is: [[ 3.4 5.4] [ -7.2 -15.4]] Truncated Array is: [[ 3. 5.] [ -7. -15.]]
❮ NumPy - Functions
