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])
np.concatenate()
np.join()
np.array_join()
np.join_array()
ndarray
narray
nd_array
darray
List
Array
Matrix
Set
axes
degree
cordinate
points
np.ndim(array_name)
array_name.ndim()
np.dim(array_name)
array_name.dim
What will be the output of the following ?
import numpy as npa = np.array([[ 1,2,3,4], [5,6,7,8], [9,10,11,12]])print(a[2,2])
7
11
10
8
What will be output for the following code?
import numpy as npary = np.array([1,2,3,5,8])ary = ary + 1print (ary[1])
0
1
2
3
change in shape of array
reshaping of array
get the shape of the array
All of above
Indexed
Sliced
Iterated
All of the mentioned above
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
None of the above
It creates a new Python list.
It creates a NumPy array.
It performs element-wise addition.
It calculates the mean of an array.
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
unlimited length
all private members must have leading and trailing underscores
Preferred Installer Program
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
NumPy arrays have contiguous memory location
They are more speedy to work with
They are more convenient to deal with
All of the above
Which syntax would print the last 3 numbers from the array below:
print(arr[3:])
print(arr[3])
print(arr[:3])
print(arr[4:])
What will be the output of following Python code?
import numpy as npa = np.array([(10,20,30)])print(a.itemsize)
9
4
Tuple
Numbering Python
Number In Python
Numerical Python
import numpy as np
ary=np.array([1,2,3,5,8])
ary=ary+1
print(ary[1])
import numpy as npa = np.array([1, 5, 4, 7, 8])a = a + 1print(a[1])
5
6
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
Shape
both a) and b)
None of the above.
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 in Python
Number for Python
To make a Matrix with all element 0
A machine learning library
A web development framework
A numerical computing library in Python
A data visualization tool
What is the output of the following code?
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
np.array()
np.zeros()
np.empty()
What will be the output of the following code?
import numpy as npa=np.array([1,2,3])print(a.ndim)
import numpy as npa=np.array([[1,2,3],[0,1,4]])print (a.size)
all_like
ones_like
one_alike
all of the mentioned
array_split()
split()
split_array()
hstack() and vstack()
import numpy as npy = np.array([[11, 12, 13, 14], [32, 33, 34, 35]])print(y.ndim)
arr=np.array([1,2,3,4],dtype='float')
arr=np.array([1,2,3,4],dtype='f')
arr=np.array([1,2,3,4],dtype=float)
Indexing
Slicing
Reshaping
print(arr[1])
print(arr,0)
print(arr,1)
What will be the output of the following Python code?
len(["hello",2, 4, 6])
Error
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])
12
28
import numpy as npa = np.arange(1,5,2)print(a)
[1 3 5]
[1 3]
[1,3]
[1,2,3,4,5]
what will be output for the following code?
import numpy as npa=np.array([1,2,3,5,8])print(a.ndim)
from numpy import *
import numpy
import numpy as my_numpy
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 the output of following code ?
a = np.array([[1,2,3],[4,5,6]])print(a.shape)
(3,2)
(1,1)
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]
shape, dtype, ndim
objects, type, list
objects, non vectorization
Unicode and shape
import numpy as nparr=np.array([1,2,3])print(arr.shape)
(3,)
(4,)
Size, shape
memory consumption
data type of array
All of these
import numpy as npa=np.array([2,4,1])b=aa[1]=3print(b)