Return the floor of a specific array element in Numpy

NumpyServer Side ProgrammingProgramming

To return the floor of a specific array element, use the index value in the numpy.floor() method in Python Numpy. The floor of the scalar x is the largest integer i, such that i <= x. It is often denoted as $\mathrm{\left \lfloor x\right \rfloor}$. The function returns the floor of each element in x. This is a scalar if x is a scalar.

The out is 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. A tuple (possible only as a keyword argument) must have length equal to the number of outputs.

Steps

At first, import the required library −

import numpy as np

Create an array −

arr = np.array([97.3, 57.4, 100.8, 50, -10.5])

Display the array −

print("Array...\n", arr)

Get the type of the array −

print("\nOur Array type...\n", arr.dtype)

Get the dimensions of the Array −

print("\nOur Array Dimensions...\n", arr.ndim)

Get the number of elements in the Array −

print("\nNumber of elements...\n", arr.size)

Return the floor of the array elements, element-wise −

print("\nResult (floor)...\n",np.floor(arr))

To return the floor of a specific array element, use the index value in the numpy.floor() method in Python Numpy −

print("\nResult (floor of a specific element)...\n",np.floor(arr[2]))

Example

import numpy as np

# Create an array
arr = np.array([97.3, 57.4, 100.8, 50, -10.5])

# Display the array
print("Array...\n", arr)

# Get the type of the array
print("\nOur Array type...\n", arr.dtype)

# Get the dimensions of the Array
print("\nOur Array Dimensions...\n", arr.ndim)

# Get the number of elements in the Array
print("\nNumber of elements...\n", arr.size)

# Return the floor of the array elements, element-wise
print("\nResult (floor)...\n",np.floor(arr))

# To return the floor of a specific array element, use the index value in the numpy.floor() method in Python Numpy
print("\nResult (floor of a specific element)...\n",np.floor(arr[2]))

Output

Array...
[ 97.3 57.4 100.8 50. -10.5]

Our Array type...
float64

Our Array Dimensions...
1

Number of elements...
5

Result (floor)...
[ 97. 57. 100. 50. -11.]

Result (floor of a specific element)...
100.0
raja
Updated on 16-Feb-2022 10:57:53

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