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Reshaping a 1D NumPy array into a 2D array

Python Pandas Numpy: Exercise-22 with Solution

Reshape a 1D NumPy array into a 2D array.

Sample Solution:

Python Code:

import numpy as np

# Create a 1D NumPy array
array_1d = np.array([1, 2, 3, 4, 5, 6, 7, 8])

# Reshape into a 2D array with 2 rows and 4 columns
array_2d = np.reshape(array_1d, (2, 4))
# Alternatively, you can use the array's reshape method:
# array_2d = array_1d.reshape((2, 4))

# Display the 2D array
print(array_2d)

Output:

[[1 2 3 4]
 [5 6 7 8]]

Explanation:

Here's a breakdown of the above code:

  • We create a 1D NumPy array "array_1d".
  • The np.reshape(array_1d, (2, 4)) function reshapes the array into a 2D array with 2 rows and 4 columns.
  • Alternatively, you can use the array's reshape method: array_2d = array_1d.reshape((2, 4)).
  • The resulting 2D array (array_2d) is then printed.

Flowchart:

Flowchart: Reshaping a 1D NumPy array into a 2D array.

Python Code Editor:

Previous: Calculating the dot product of NumPy arrays.
Next: Slicing and extracting a portion of a NumPy array.

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