h5py_hdf5_file_create_dataset_numpy_read_write.py

1import h5py
2import numpy as np
3
4# Create a new file using the 'w' (write) mode
5f = h5py.File("mytestfile.hdf5", "w")
6
7# Create a dataset within the file
8# This creates a dataset named "mydataset" with shape (100,) and integer type
9dset = f.create_dataset("mydataset", (100,), dtype='i')
10
11# Datasets support NumPy-style slicing
12# Let's fill the dataset with numbers 0 to 99
13dset[...] = np.arange(100)
14
15# You can access attributes and data just like a NumPy array
16print(f"Dataset name: {dset.name}")
17print(f"Dataset shape: {dset.shape}")
18print(f"First 10 elements: {dset[0:10]}")
19
20# Always close the file when finished
21f.close()