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
Number of Rows and Column in array
Size of each items in array
Number of elements in array
Largest element of an array
Filled with Zero
Filled with Blank space
Filled with random garbage value
Filled with One
change in shape of array
reshaping of array
get the shape of the array
All of above
Numbering Python
Number In Python
Numerical Python
None of the above
List
Array
Matrix
Set
What will be the output of the following ?
import numpy as nparr=np.array([1,2,3])print(arr.shape)
(3,)
(4,)
1
3
unlimited length
all private members must have leading and trailing underscores
Preferred Installer Program
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
What will be output for the following code?
import numpy as npa = np.array([1,2,3,5,8])b = np.array([0,3,4,2,1])c = a + bc = c*aprint (c[2])
18
20
21
22
What is the datatype of x ?
import numpy as npa=np.array([1,2,3,4])x=a.tolist()
int
array
tuple
list
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])
np.ndim(array_name)
array_name.ndim()
np.dim(array_name)
array_name.dim
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])
10
12
28
array_split()
split()
split_array()
hstack() and vstack()
What will be the output of the following Python code?
len(["hello",2, 4, 6])
Error
6
4
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
Mathematical and logical operations on arrays.
Fourier transforms and routines for shape manipulation.
Operations related to linear algebra.
All of the above
Number in Python
Number for Python
To make a Matrix with all element 0
What will be output for the following code ?
import numpy as npa=np.array([2,3,4,5])print(a.dtype)
int32
float
none of these
all_like
ones_like
one_alike
all of the mentioned
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
89
[1,2,3,4]
[1,2,3],[3,4,5],[1,3,4]
[[2 3 5][ 4 5 6][4 5 6]]
What is a correct syntax to print the numbers [3, 4, 5] from the array below:
arr = np.array([1,2,3,4,5,6,7])
print(arr[2:4])
print(arr[2:5])
print(arr[2:6])
print(arr[3:6])
import numpy as npary = np.array([1,2,3,5,8])ary = ary + 1print (ary[1])
0
2
Guido van Rossum
Travis Oliphant
Wes McKinney
Jim Hugunin
import numpy as npa = np.array([1, 5, 4, 7, 8])a = a + 1print(a[1])
5
7
What will be the output of the following code?
import numpy as npa=np.array([1,2,3])print(a.ndim)
What is the output of the following code ?
import numpy as npa = np.array([[1,2,3]])print(a.shape)
(2,3)
(3,1)
(1,3)
None of These
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([2,4,1])b=a.copy()a[1]=3print(b)
[2 4 1]
[2 3 1]
[3 4 1]
[2 4 3]
We can find the dimension of the array
Size of array
Operational activities on Matrix
None of the mentioned above
What is the output of following code ?
a = np.array([[1,2,3],[4,5,6]])print(a.shape)
(3,2)
(1,1)
what will be output for the following code?
import numpy as npa=np.array([1,2,3,5,8])print(a.ndim)
import numpy as npprint(np.maximum([2, 3, 4], [1, 5, 2]))
[1 5 2]
[1 5 4]
[2 3 4]
[2 5 4]
integer
string
boolean
import numpy as np
ary=np.array([1,2,3,5,8])
ary=ary+1
print(ary[1])
np.concatenate()
np.join()
np.array_join()
np.join_array()
Shape
both a) and b)
None of the above.
What will be the output of following Python code?
import numpy as npa = np.array([(10,20,30)])print(a.itemsize)
9
All of the mentioned above
Indexing
Slicing
Reshaping
Indexed
Sliced
Iterated
It creates a new Python list.
It creates a NumPy array.
It performs element-wise addition.
It calculates the mean of an array.
make a matrix with first column 0
make a matrix with all elements 0
make a matrix with diagonal elements 0
numpy.array(list)
numpy.array(list, dtype=float)
Both a and b
import numpy as npa = np.array([[1, 2, 3],[0,1,4],[11,22,33]])print (a.size)
np.array()
np.zeros()
np.empty()
numpy.linspace()
numpy.range()
numpy.arrange()
numpy.spaceline()
Which syntax would print the last 3 numbers from the array below:
print(arr[3:])
print(arr[3])
print(arr[:3])
print(arr[4:])