NumPy floor()
The numpy.floor() function rounds each element of an array down to the nearest integer.
It returns the largest integer less than or equal to each element in the input.
Syntax
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numpy.floor(x, /, out=None, *, where=True, casting='same_kind', order='K', dtype=None, subok=True)Parameters
| Parameter | Type | Description |
|---|---|---|
x | array_like | Input array whose elements will be floored. |
out | ndarray, None, or tuple of ndarray and None, optional | Optional output array where the result is stored. If None, a new array is created. |
where | array_like, optional | Boolean mask specifying which elements to apply the floor function to. |
casting | str, optional | Defines how casting should behave. |
order | str, optional | Memory layout order of the output array. |
dtype | data-type, optional | Defines the data type of the output array. |
subok | bool, optional | Determines if subclasses of ndarray are preserved in the output. |
Return Value
Returns an array where each element is rounded down to the nearest integer. If the input is a scalar, a scalar is returned.
Examples
1. Applying floor to a Single Value
Here, we compute the floor of a single floating-point value.
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import numpy as np
# Define a floating-point number
num = 3.7
# Apply the floor function
result = np.floor(num)
# Print the result
print("Floor of 3.7:", result)Output:
Floor of 3.7: 3.0