How to read a specific dataset from an HDF5 file into a NumPy array?

Last update on April 29 2025 13:00:04 (UTC/GMT +8 hours)

10. Specific Dataset from HDF5

Write a NumPy program that reads a specific dataset from an HDF5 file into a NumPy array.

Sample Solution:

Python Code:

import numpy as np
import h5py

# Define the path to the HDF5 file
hdf5_file_path = 'data.h5'

# Read the specific dataset from the HDF5 file into a NumPy array
with h5py.File(hdf5_file_path, 'r') as hdf5_file:
    dataset_name = 'dataset'  # Specify the dataset name
    data_array = hdf5_file[dataset_name][:]

# Print the NumPy array
print(data_array)

Output:

[[1 2 3]
 [4 5 6]
 [7 8 9]]

Explanation:

Import NumPy and h5py Libraries: Import the NumPy and h5py libraries to handle arrays and HDF5 file operations.
Define HDF5 File Path: Specify the path to the HDF5 file containing the dataset.
Read Specific Dataset: Open the HDF5 file in read mode using h5py.File(). Specify the name of the dataset you want to read and load it into a NumPy array.
Print NumPy Array: Output the resulting NumPy array to verify that the dataset was read correctly from the HDF5 file.

For more Practice: Solve these Related Problems:

Write a Numpy program to open an HDF5 file and read a specific dataset by its path, then verify the dimensions.
Write a Numpy program to read multiple datasets from an HDF5 file and then merge them into a single array.
Write a Numpy program to extract a dataset from an HDF5 file and then perform statistical analysis on the data.
Write a Numpy program to read a dataset from HDF5 and apply a transformation function before comparing with the original.

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Python-Numpy Code Editor:

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