The zeros tool returns a new array with a given shape and type filled with 's.
import numpy
print numpy.zeros((1,2)) #Default type is float
#Output : [[ 0. 0.]]
print numpy.zeros((1,2), dtype = numpy.int) #Type changes to int
#Output : [[0 0]]
The ones tool returns a new array with a given shape and type filled with 's.
import numpy
print numpy.ones((1,2)) #Default type is float
#Output : [[ 1. 1.]]
print numpy.ones((1,2), dtype = numpy.int) #Type changes to int
#Output : [[1 1]]
Task
You are given the shape of the array in the form of space-separated integers, each integer representing the size of different dimensions, your task is to print an array of the given shape and integer type using the tools numpy.zeros
and numpy.ones
.
Input Format
A single line containing the space-separated integers.
Constraints
Output Format
First, print the array using the numpy.zeros
tool and then print the array with the numpy.ones
tool.
Sample Input 0
3 3 3
Sample Output 0
[[[0 0 0]
[0 0 0]
[0 0 0]]
[[0 0 0]
[0 0 0]
[0 0 0]]
[[0 0 0]
[0 0 0]
[0 0 0]]]
[[[1 1 1]
[1 1 1]
[1 1 1]]
[[1 1 1]
[1 1 1]
[1 1 1]]
[[1 1 1]
[1 1 1]
[1 1 1]]]
Explanation 0
Print the array built using numpy.zeros
and numpy.ones
tools and you get the result as shown.