Division
The division between two NumPy arrays is element-wise division and is represented by /
e.g.
import numpy as np
R = np.array( [ 20, 30, 40, 50] )
S = np.arange( 1, 5 )
T = R / S
print(R)
array([ 20, 30, 40, 50 ])
print(S)
array( [ 1, 2, 3, 4 ] )
print(T)
Output will be
array([ 20, 15, 13.33333, 12.5 ] )
Integer Division
Integer Division between two NumPy arrays is also element-wise division and is represented by //. In integer division, the resulting element values are converted to integers (instead of float).
e.g.
import numpy as np
Ri = np.array( [ 20, 30, 40, 50] )
Si = np.arange( 1, 5 )
Ti = Ri // Si
print(Ri)
array([ 20, 30, 40, 50 ])
print(Si)
array( [ 1, 2, 3, 4 ] )
print(Ti)
Output will be
array([ 20, 15, 13, 12 ] )
Modulus
Modulus between two NumPy arrays is also applied element-wise and is represented by %
e.g.
import numpy as np
Rm = np.array( [ 20, 30, 40, 50] )
Sm = np.arange( 1, 5 )
Tm = Rm % Sm
print(Rm)
array([ 20, 30, 40, 50 ])
print(Sm)
array( [ 1, 2, 3, 4 ] )
print(Tm)
Output will be
array([ 0, 0, 1, 2 ] )
Please follow the below steps:
(1) Please import numpy as np
Division
(2) Please create two NumPy arrays - R_div and S_div - as shown below
R_div = np.array([ [ 25,65], [40, 14] ])
S_div = np.array([ [2, 10], [4, 5] ] )
(3) Divide (using normal division) above created NumPy array R_div by S_div and store the result in a variable T_div
<<your code comes here>> = R_div << your code comes here>> S_div
(4) Print the array T_div to see its values
print(<<your code comes here>>)
Integer Division
(1) Please import numpy as np
(2) Please create two NumPy arrays - R_int_div and S_int_div - as shown below
R_int_div = np.array([ [ 25,65], [40, 70] ])
S_int_div = np.array([ [2, 10], [8, 3] ] )
(3) Divide (using integer division) above created NumPy array R_int_div by S_int_div and store the result in a variable T_int_div
<<your code comes here>> = R_int_div << your code comes here>> S_int_div
(4) Print the array T_int_div to see its values
print(<<your code comes here>>)
Modulus
(1) Please import numpy as np
(2) Please create two NumPy arrays - R_mod and S_mod - as shown below
R_mod = np.array([ [ 20,65], [40, 70] ])
S_mod = np.array([ [2, 10], [8, 3] ] )
(3) Apply modulus operation between above created NumPy arrays R_mod and S_mod and store the result in a variable T_mod
<<your code comes here>> = R_mod << your code comes here>> S_mod
(4) Print the array T_mod to see its values
print(<<your code comes here>>)
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16 Comments
import numpy as np
R_div = np.array([ [ 25,65], [40, 14] ])
S_div = np.array( [ [2, 10], [4, 5] ] )
T_div = R_div / S_div
print(T_div)
R_int_div = np.array([ [ 25,65], [40, 70] ])
S_int_div = np.array( [ [2, 10], [8, 3] ] )
T_int_div = R_int_div // S_int_div
R_mod = np.array([ [ 20,65], [40, 70] ])
Upvote ShareS_mod = np.array( [ [2, 10], [8, 3] ])
T_mod = R_mod % S_mod
print(T_mod)
Hi,
Please use the notebook to write and execute the code.
Thanks.
Upvote Sharehello sir..my code is correct but i got error. plz give any suggestion.
Upvote Shareimport numpy as np
--------------------------------------------------------------------------- TypeError Traceback (most recent call last) <ipython-input-72-de9095acc22a> in <module> 3 S_mod = np.array( [ [2, 10], [8, 3] ]) 4 T_mod = R_mod % S_mod ----> 5 print(T_mod) TypeError: 'numpy.ndarray' object is not callableUpvote ShareHi,
Please take a hint or look at the answer if you are stuck.
Thanks.
Upvote ShareThis comment has been removed.
R_div = np.array([ [ 25,65], [40, 14] ])
S_div = np.array([ [2, 10], [4, 5] ] )
T_div = R_div / S_div
print(T_div)
R_int_div = np.array([ [ 25,65], [40, 70] ])
S_int_div = np.array([ [2, 10], [8, 3] ] )
T_int_div = R_int_div // S_int_div
print(T_int_div)
R_mod = np.array([ [ 20,65], [40, 70] ])
S_mod = np.array([ [2, 10], [8, 3] ] )
T_mod = R_mod % S_mod
print(T_mod)
Output:
In [ ]:
But getting bellow error
Upvote ShareHi Pooja,
Can you please try restaring the kernel?
Upvote Shareimport numpy as np
R_div = np.array([ [ 25,65], [40, 14] ])
S_div = np.array( [ [2, 10], [4, 5] ] )
T_div = R_div / S_div
print(T_div)
R_int_div = np.array([ [ 25,65], [40, 70] ])
S_int_div = np.array( [ [2, 10], [8, 3] ] )
T_int_div = R_int_div // S_int_div
R_mod = np.array([ [ 20,65], [40, 70] ])
Upvote ShareS_mod = np.array( [ [2, 10], [8, 3] ])
T_mod = R_mod % S_mod
print(T_mod)
I get error: Values of T_div array not correct, whats wrong?
import numpy as np
R_div = np.array([ [ 25,65], [40, 14] ])
S_div = np.array( [ [2, 10], [4, 5] ] )
T_div = R_div // S_div
print(T_div)
R_mod = np.array([ [ 20,65], [40, 70] ])
S_mod = np.array( [ [2, 10], [8, 3] ])
T_mod = R_mod % S_mod
print(T_mod)
Output:
[[12 6]
Upvote Share[10 2]]
[[0 5]
[0 1]]
Earlier they had given same R_div and S_div for both of the divisions which gave that error. They have now resolved that by using 2 different numpy arrays (R_int_div,S_int_div). Now run the code with different arrays for both the divisions(R_int_div,,S_int_div for integer division and R_div,S_div for normal division). That should work fine. I hope this helps. Regards.
Upvote ShareDear Team,
Can you please let me know what is wrong with my code, as only this part is pending to complete Numpy.
Code:
R_div = np.array([ [ 25,65], [40, 14] ])
S_div = np.array( [ [2, 10], [4, 5] ] )
T_div = R_div / S_div
print(T_div)
Output:
[[12.5 6.5]
Upvote Share[10. 2.8]]
Earlier they had given same R_div and S_div for both of the divisions which gave that error. They have now resolved that by using 2 different numpy arrays (R_int_div,S_int_div). Now run the code with different arrays for both the divisions(R_int_div,,S_int_div for integer division and R_div,S_div for normal division). That should work fine. I hope this helps. Regards..
Upvote Shareerror -: Values of T_div array not correct .. why??
Upvote Shareimport numpy as np
R_div = np.array([ [ 25,65], [40, 14] ])
S_div = np.array( [ [2, 10], [4, 5] ] )
T_div=R_div/S_div
print(T_div)
Have u received an update on above, I am also getting the same error.
Upvote ShareEarlier they had given same R_div and S_div for both of the divisions which gave that error. They have now resolved that by using 2 different numpy arrays (R_int_div,S_int_div). Now run the code with different arrays for both the divisions(R_int_div,,S_int_div for integer division and R_div,S_div for normal division). That should work fine. I hope this helps. Regards...
Upvote Share