What is a correct syntax to print the number 8 from the array below:
arr = np.array([[1,2,3,4,5], [6,7,8,9,10]])
print(arr[3,0])
print(arr[1,2])
print(arr[7,2])
None of The Above
all_like
ones_like
one_alike
all of the mentioned
Size, shape
memory consumption
data type of array
All of these
What will be the output of the following Python code?
len(["hello",2, 4, 6])
Error
6
4
3
What will be the output of the following ?
import numpy as npa=np.array([2,4,1])b=np.array([3,5])c=a+bprint(c)
[2 4 1 3 5 ]
[5 9 1]
15
ValueError
A machine learning library
A web development framework
A numerical computing library in Python
A data visualization tool
It creates a new Python list.
It creates a NumPy array.
It performs element-wise addition.
It calculates the mean of an array.
What will be output for the following code?
import numpy as npa=np.array([[1,2,3],[0,1,4]])print (a.size)
1
5
What will be output for the following code ?
import numpy as npa=np.array([2,3,4,5])print(a.dtype)
int32
int
float
none of these
import numpy as npa = np.array( [2, 3, 4, 5] )b = np.arange(4)print(a+b)
[2 3 4 5]
[3 4 5 6]
[1 2 3 4]
[2 4 6 8]
axes
degree
cordinate
points
shape, dtype, ndim
objects, type, list
objects, non vectorization
Unicode and shape
What will be the output of following Python code?
import numpy as npa = np.array([(10,20,30)])print(a.itemsize)
10
9
All of the mentioned above
Numbering Python
Number In Python
Numerical Python
None of the above
What is the output of following code ?
a = np.array([[1,2,3],[4,5,6]])print(a.shape)
(2,3)
(3,2)
(1,1)
Indexing
Slicing
Reshaping
import numpy as npa=np.array([2,4,1])b=a.copy()a[1]=3print(b)
[2 4 1]
[2 3 1]
[3 4 1]
[2 4 3]
import numpy as nparr=np.array([1,2,3])print(arr.shape)
(3,)
(4,)
change in shape of array
reshaping of array
get the shape of the array
All of above
import numpy as npary = np.array([1,2,3,5,8])ary = ary + 1print (ary[1])
0
2
89
[1,2,3,4]
[1,2,3],[3,4,5],[1,3,4]
[[2 3 5][ 4 5 6][4 5 6]]
To make a Matrix with all diagonal element 0
To make a Matrix with first row 0
To make a Matrix with all elements 0
Which syntax would print every other item from the array below:
arr = np.array([1,2,3,4,5,6,7])
print(arr[1:3:5:7])
print(arr[::2])
print(arr(0:step=2))
print(arr[2:2:2])
What is the output of the following code?
import numpy as np a=np.array([1,2,3,5,8]) b=np.array([0,3,4,2,1]) c=a+b c=c*a print(c[2])
21
12
28
np.array([4,5,6])
np.create_array([4,5,6])
np.createArray([4,5,6])
np.numpyArray([4,5,6])
np.concatenate()
np.join()
np.array_join()
np.join_array()
print(arr[1])
print(arr,0)
print(arr,1)
None of These
Number in Python
Number for Python
the shape is the number of rows
the shape is the number of columns
the shape is the number of element in each dimension
Total number of elements in array
np.array()
np.zeros()
np.empty()
All of the above
import numpy as npa = np.array([[ 1,2,3,4], [5,6,7,8], [9,10,11,12]])print(a[2,2])
7
11
8
Which syntax would print the last 3 numbers from the array below:
print(arr[3:])
print(arr[3])
print(arr[:3])
print(arr[4:])
Guido van Rossum
Travis Oliphant
Wes McKinney
Jim Hugunin
import numpy as npa = np.arange(5,1)print(a)
[ ]
[1 2 3 4 5]
[5 4 3 2 1]
Array
List
Matrix
Tuple
import numpy as npa=np.array([2,4])b=np.array([3,5])c=a*bprint(c)
[ 2 4 3 5]
[ 6 20]
[ 6 12 10 20]
26
import numpy as np
ary=np.array([1,2,3,5,8])
ary=ary+1
print(ary[1])
numpy.array(list)
numpy.array(list, dtype=float)
Both a and b
arr=np.float([1,2,3,4])
arr=np.array([1,2,3,4]).toFloat()
arr=np.array([1,2,3,4],dtype='float')
arr=np.farray([1,2,3,4])
ndarray
narray
nd_array
darray
integer
string
boolean
arr=np.array([1,2,3,4],dtype='f')
arr=np.array([1,2,3,4],dtype=float)
import numpy as npa = np.array([1, 5, 4, 7, 8])a = a + 1print(a[1])
make a matrix with first column 0
make a matrix with all elements 0
make a matrix with diagonal elements 0
from numpy import *
import numpy
import numpy as my_numpy
What is the output of the following code ?
import numpy as npy = np.array([[11, 12, 13, 14], [32, 33, 34, 35]])print(y.ndim)
import numpy as npa = np.array([[1, 2, 3],[0,1,4],[11,22,33]])print (a.size)
import numpy as npa = np.arange(1,5,2)print(a)
[1 3 5]
[1 3]
[1,3]
[1,2,3,4,5]
import numpy as npa = np.array([1,2,3,5,8])b = np.array([0,1,5,4,2])c = a + bc = c*aprint (c[2])
24
None of these
What is a correct syntax to print the numbers [3, 4, 5] from the array below:
print(arr[2:4])
print(arr[2:5])
print(arr[2:6])
print(arr[3:6])