Data Archive

npy Files A NumPy Array storage

A .npy file is a binary file format specifically designed to store a single NumPy array. NumPy, or Numerical Python, is a powerful library in Python used for numerical computing and data analysis.

Why Use .npy Files?

  • Efficiency: Storing data in binary format is generally more efficient than storing it in text-based formats like CSV or JSON. This means faster read/write operations and less disk space usage.
  • Preserves Data Structure: .npy files maintain the exact structure and data type of the NumPy array, ensuring that the data can be loaded back into memory without any loss of information.
  • Simple Format: The .npy format is relatively straightforward, making it easy to read and write using NumPy’s built-in functions.

How to Create and Load .npy Files

Creating an .npy File:

#1. Import NumPy:
   import numpy as np
 
#2. Create a NumPy Array:
   my_array = np.array([[1, 2, 3], [4, 5, 6]])
 
#3. Save the Array to a .npy File:
   np.save('my_array.npy', my_array)
 
#Loading a .npy File:
#1. Load the Array from the .npy File:
 
   loaded_array = np.load('my_azray.npy')

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