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How to read HDF5 files in Python

Hello Guys, How are you all? Hope You all Are Fine. Today We Are Going To learn about How to read HDF5 files in Python in Python. So Here I am Explain to you all the possible Methods here.

Without wasting your time, Let’s start This Article.

Table of Contents

How to read HDF5 files in Python?

  1. How to read HDF5 files in Python?

    Here's a simple function I just wrote which reads a .hdf5 file generated by the save_weights function in keras and returns a dict with layer names and weights:

  2. read HDF5 files in Python

    Here's a simple function I just wrote which reads a .hdf5 file generated by the save_weights function in keras and returns a dict with layer names and weights:

Method 1

you can use Pandas.

import pandas as pd
pd.read_hdf(filename,key)

Method 2

Here’s a simple function I just wrote which reads a .hdf5 file generated by the save_weights function in keras and returns a dict with layer names and weights:

def read_hdf5(path):

    weights = {}

    keys = []
    with h5py.File(path, 'r') as f: # open file
        f.visit(keys.append) # append all keys to list
        for key in keys:
            if ':' in key: # contains data if ':' in key
                print(f[key].name)
                weights[f[key].name] = f[key].value
    return weights

Conclusion

It’s all About this issue. Hope all Methods helped you a lot. Comment below Your thoughts and your queries. Also, Comment below which Method worked for you? Thank You.

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