Numpy

numpy_array_manipulation1.py

import numpy as np
a = np.arange(6)

print(a)

#[Output]:
#[0 1 2 3 4 5]

## 1. Reshaping
a.reshape(2,3)

#[Output]:
#array([[0, 1, 2],
#       [3, 4, 5]])

## 2. Flattening the array
a.ravel()

#[Output]:
#array([0, 1, 2, 3, 4, 5])


## 3.numpy.ndarray.flat
x = np.arange(1, 7).reshape(2, 3)
print(x)

#[Output]:
#array([[1, 2, 3],
#       [4, 5, 6]])

print(x.flat[3])

#[Output]:
#4

print(x.T)

#[Output]:
#[[1 4]
# [2 5]
# [3 6]]

print(x.T.flat[3])

#[Output]:
#5

## 4.Flatten

a = np.array([[1,2], [3,4]])
a.flatten()

#[Output]:
#array([1, 2, 3, 4])