有没有一种方法可以从HDF5数据集中删除行? [英] Is there a way of removing rows from a HDF5 dataset?

问题描述

我创建了一个约有210万个实例的H5PY数据集.问题是我已经填满了除最后一行以外的所有行.我想删除最后一行，但不确定这样做是否可行或安全.

I have created a H5PY dataset, with around 2.1 million instances. The issue is I have filled all the rows apart from the last one. I want to remove the last row but unsure if it is feasible or safe to do.

这是如何创建数据集的摘录:

This is a snippet of how the dataset is created:

shape = (dataset_length, args.batch_size, 2048, 1, 1)

with h5py.File(path, mode='a') as hdf5_file:
       array_40 = hdf5_file.create_dataset(
                  f'{phase}_40x_arrays',  shape, maxshape=(None, args.batch_size, 2048, 1, 1)


# either new or checkpointed file exists
# load file and create references to exisitng h5 datasets
with h5py.File(path, mode='r+') as hdf5_file:
      array_40 = hdf5_file[f'{phase}_40x_arrays']

     for i, (inputs40x, labels) in enumerate(dataloaders_dict):

          inputs40x = inputs40x.to(device)
          x40 = resnet(inputs40x)
          array_40[batch_idx, ...] = x40.cpu()

          hdf5_file.flush()

我不确定是否需要将所有实例复制到新数据集中.我尝试调整大小，但这没用...

I'm not really sure if I need to copy all instances to a new dataset. I tried resizing, but that didn't work...

干杯

推荐答案

这是一个非常简单的示例，用于演示一个数据集的 dataset.resize().

Here is a very simple example to demonstrate dataset.resize() for one dataset.

import numpy as np
import h5py

arr = np.random.rand(100).reshape(20,5)

with h5py.File('SO_61487687.h5', mode='a') as h5f:
     h5f.create_dataset('array1',  data=arr, maxshape=(None, 5) )

with h5py.File('SO_61487687.h5', mode='r+') as h5f:
     print ('Before:', h5f['array1'].shape)
     h5f['array1'].resize(10,axis=0)
     print ('After:', h5f['array1'].shape)
     h5f.flush()

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