# -*- coding:utf-8 -*-

import h5py
import numpy as np

file = h5py.File('myunlim_dataset.hdf5','a')

dt_unlimt = file.create_dataset('data',[10,224,224,3],maxshape=[None,224,224,3],chunks=True,
compression='gzip',compression_opts=7) # 創(chuàng)建一個數(shù)據(jù)集對象，先把各項參數(shù)設(shè)置好，后續(xù)就不能改了，后面直接通過索引寫入數(shù)據(jù)，數(shù)據(jù)會自動根據(jù)這些屬性設(shè)置進(jìn)行壓縮存儲。

# generate example data
a = np.arange(10*224*224*3).reshape(10,224,224,3)

# write a into dataset 'data',remenmber dt_unlimt is a 'data' dataset obj.
dt_unlimt[0:10] = a # write in by slice !

# now, we need to write new data to dataset 'data', and shape is [100,224,224,3],for example:

b = np.arange(100*224*224*3).reshape(100,224,224,3)

# before we write in new data, we need to resize dataset 'data' 's total shape first:
dt_unlimt.resize((110,224,224,3)) # 這里的resize的參數(shù)是dataset的總的shape，不僅僅是新寫入數(shù)據(jù)集的shape。
dt_unlimt[10:110] = b # write in by slice! 記住，python切片是左閉右開的

# 寫完數(shù)據(jù)不要忘記關(guān)閉！
file.close()

# That's OK !

            
          

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