how to load npy file in jupyter notebook

What is NPY file?

NPY file is a binary file format that is used to store NumPy arrays. The file extension of NPY files is .npy. NPY files are used in various machine learning and data science applications to store data and share it across different systems.

What is Jupyter Notebook?

Jupyter Notebook is an open-source web application that allows easy creation and sharing of code, visualizations, and narrative text. It supports various programming languages, including Python, R, and Julia. Jupyter Notebook is widely used in the field of data science and machine learning.

How to load NPY files in Jupyter Notebook

Step 1: Import NumPy and load NPY file

To load an NPY file in Jupyter Notebook, you need to first import the NumPy library, which is typically used to work with NPY files. You can use the load() function of NumPy to load the NPY file. Here is an example code snippet:```pythonimport numpy as npdata = np.load('filename.npy')```In this example, 'filename.npy' is the name of the NPY file that you want to load. The data variable will contain the NumPy array that was stored in the NPY file.

Step 2: Check the shape and type of the loaded data

Once you have loaded the NPY file, you can check the shape and type of the loaded data using the shape and dtype attributes of the NumPy array. Here is an example code snippet:```pythonprint(data.shape)print(data.dtype)```The shape attribute returns the dimensions of the NumPy array, and the dtype attribute returns the data type of the elements in the array.

Step 3: Visualize the loaded data

After loading the NPY file, you can visualize the loaded data using various visualization libraries in Python, such as matplotlib. Here is an example code snippet:```pythonimport matplotlib.pyplot as pltplt.imshow(data)```In this example, we are using the imshow() function of matplotlib to display the NumPy array as an image.

Conclusion

In this article, we have learned how to load NPY files in Jupyter Notebook. We first discussed what NPY files are and how they are used in machine learning and data science applications. We then introduced Jupyter Notebook and its features. We then explained the steps to load an NPY file in Jupyter Notebook, including importing the NumPy library, loading the NPY file, checking the shape and type of the loaded data, and visualizing the loaded data. By following these steps, you can easily load and work with NPY files in Jupyter Notebook.