np.ndim(array_name)
array_name.ndim()
np.dim(array_name)
array_name.dim
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])
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])
Mathematical and logical operations on arrays.
Fourier transforms and routines for shape manipulation.
Operations related to linear algebra.
All of the above
What will be the output of the following ?
import numpy as npa = np.arange(5,1)print(a)
[ ]
[1 2 3 4 5]
[5 4 3 2 1]
[1 2 3 4]
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
Indexed
Sliced
Iterated
All of the mentioned 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 npprint(np.maximum([2, 3, 4], [1, 5, 2]))
[1 5 2]
[1 5 4]
[2 3 4]
[2 5 4]
numpy.maximum()
numpy.arraymax()
numpy.amax()
numpy.big()
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
shape, dtype, ndim
objects, type, list
objects, non vectorization
Unicode and shape
Size, shape
memory consumption
data type of array
All of these
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
make a matrix with first column 0
make a matrix with all elements 0
make a matrix with diagonal elements 0
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
Which syntax would print the last 3 numbers from the array below:
print(arr[3:])
print(arr[3])
print(arr[:3])
print(arr[4:])
Filled with Zero
Filled with Blank space
Filled with random garbage value
Filled with One
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)
none of these
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])
6
24
0
None of these
np.array([4,5,6])
np.create_array([4,5,6])
np.createArray([4,5,6])
np.numpyArray([4,5,6])
change in shape of array
reshaping of array
get the shape of the array
All of above
import numpy as nparr=np.array([1,2,3])print(arr.shape)
(3,)
(4,)
1
3
What will be output for the following code ?
import numpy as npa = np.array([[1, 2, 3],[0,1,4],[11,22,33]])print (a.size)
9
4
unlimited length
all private members must have leading and trailing underscores
Preferred Installer Program
import numpy as npa=np.array([[1,2,3],[0,1,4]])print (a.size)
5
np.concatenate()
np.join()
np.array_join()
np.join_array()
axes
degree
cordinate
points
from numpy import *
import numpy
import numpy as my_numpy
array_split()
split()
split_array()
hstack() and vstack()
Number of Rows and Column in array
Size of each items in array
Number of elements in array
Largest element of an array
arr=np.array([1,2,3,4],dtype='f')
arr=np.array([1,2,3,4],dtype=float)
Indexing
Slicing
Reshaping
rank
dtype
shape
import numpy as npa=np.array([2,3,4,5])print(a.dtype)
int32
int
float
import numpy as npa=np.array([2,4,1])b=aa[1]=3print(b)
[2 4 1]
[3 4 1]
[2 3 1]
[2 4 3]
integer
string
boolean
What will be the output of the following code?
import numpy as npa=np.array([1,2,3])print(a.ndim)
2
what will be output for the following code?
import numpy as npa=np.array([1,2,3,5,8])print(a.ndim)
What is the datatype of x ?
import numpy as npa=np.array([1,2,3,4])x=a.tolist()
array
tuple
list
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]
[2 4 6 8]
What will be the output of the following Python code?
len(["hello",2, 4, 6])
Error
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)
What will be the output of following Python code?
import numpy as npa = np.array([(10,20,30)])print(a.itemsize)
10
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
Web development
Machine learning and scientific computing
Game development
Database management
full
empty
init
import numpy as npa = np.arange(1,5,2)print(a)
[1 3 5]
[1 3]
[1,3]
[1,2,3,4,5]
numpy.array(list)
numpy.array(list, dtype=float)
Both a and b