89
[1,2,3,4]
[1,2,3],[3,4,5],[1,3,4]
[[2 3 5][ 4 5 6][4 5 6]]
np.ndim(array_name)
array_name.ndim()
np.dim(array_name)
array_name.dim
print(arr[1])
print(arr,0)
print(arr,1)
None of These
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
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])
Which syntax would print the last 3 numbers from the array below:
print(arr[3:])
print(arr[3])
print(arr[:3])
print(arr[4:])
Which syntax would print every other item from the array below:
print(arr[1:3:5:7])
print(arr[::2])
print(arr(0:step=2))
print(arr[2:2:2])
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])
arr=np.array([1,2,3,4],dtype='f')
arr=np.array([1,2,3,4],dtype=float)
All of the above
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.concatenate()
np.join()
np.array_join()
np.join_array()
array_split()
split()
split_array()
hstack() and vstack()
What will be output for the following code?
import numpy as np ary = np.array([1,2,3,5,8]) ary = ary + 1 print (ary[1])
0
1
2
3
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])
18
20
21
22
np.array()
np.zeros()
np.empty()
shape, dtype, ndim
objects, type, list
objects, non vectorization
Unicode and shape
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
All of above
change in shape of array
reshaping of array
get the shape of the array
Number of Rows and Column in array
Size of each items in array
Number of elements in array
Largest element of an array
