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  1. Prepare
  2. Python
  3. Numpy
  4. Transpose and Flatten
  5. Discussions

Transpose and Flatten

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330 Discussions

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  • kgkeklikci
     + 0 comments
    import numpy

arr = []
n, m = list(map(int, input().split()))

for _ in range(n):
    arr.append(list(map(int, input().split())))

np_arr = numpy.array(arr)
print(np_arr.T)
print(np_arr.flatten())

  • nidhipawankumar
     + 0 comments

    import numpy

    n,m=map(int,input().split()) matrix=[] for i in range(n): matrix.append(list(map(int, input().split())))

    array=numpy.array(matrix) print(numpy.transpose(array)) print(array.flatten())

  • loucifsk
     + 0 comments

    With the help of regEx :

    import sys, re, numpy


entry = sys.stdin.read().replace(' ', '').splitlines()[1:]

my_array = []
for i in range(len(entry)):
   my_array.append([int(i) for i in re.findall(r"\d", entry[i])])

my_array = numpy.array(my_array)
print(numpy.transpose(my_array), my_array.flatten(), sep='\n')

  • nurulbashar21
     + 0 comments
    import numpy as np

# Input number of rows and columns
rows, cols = map(int, input().split())

data = []
for _ in range(rows):
    row = list(map(int, input().split()))
    data.append(row)

# Convert the list of lists to a NumPy array
array = np.array(data)
print(np.transpose(array))
print(array.flatten())

  • [deleted]Challenge Author     + 0 comments

    For Python3

    import numpy

n, m = map(int, input().split())
lst = []

for i in range(n):
    lst.append([*map(int, input().split())])

arr = numpy.array(lst)
print(numpy.transpose(arr))
print(arr.flatten())