Per the FAQ, you can expand the dataset using dset.resize
. For example,
import os
import h5py
import numpy as np
path="/tmp/out.h5"
os.remove(path)
with h5py.File(path, "a") as f:
dset = f.create_dataset('voltage284', (10**5,), maxshape=(None,),
dtype="i8", chunks=(10**4,))
dset[:] = np.random.random(dset.shape)
print(dset.shape)
# (100000,)
for i in range(3):
dset.resize(dset.shape[0]+10**4, axis=0)
dset[-10**4:] = np.random.random(10**4)
print(dset.shape)
# (110000,)
# (120000,)
# (130000,)