如何使用h5py覆盖H5文件中数组 [英] How to overwrite array inside h5 file using h5py

问题描述

我试图覆盖numpy的阵列，这是一个pretty的一小部分复杂H5文件。

I'm trying to overwrite a numpy array that's a small part of a pretty complicated h5 file.

我解压一个数组，改变一些值，则需要重新插入阵列到H5文件。

I'm extracting an array, changing some values, then want to re-insert the array into the h5 file.

我没有问题，那提取的嵌套数组。

I have no problem extracting the array that's nested.

f1 = h5py.File(file_name,'r')
X1 = f1['meas/frame1/data'].value
f1.close()

我试图code看起来像这样没有成功：

My attempted code looks something like this with no success:

f1 = h5py.File(file_name,'r+')
dset = f1.create_dataset('meas/frame1/data', data=X1)
f1.close()

作为一个全面的检查，我使用下面的code执行该Matlab中，并没有任何问题的工作。

As a sanity check, I executed this in Matlab using the following code, and it worked with no problems.

h5write(file1, '/meas/frame1/data', X1);

有没有人对如何做到这一点有什么建议成功？

Does anyone have any suggestions on how to do this successfully?

推荐答案

askewchan的回答描述了做到这一点（您不能创建在已经存在的名称的数据集，但你当然可以修改该数据集的数据）。但是请注意，该数据集必须具有相同的形状作为数据（ X1 ）你正在写它。如果你想的替换的不同形状的其他一些数据集数据集，必须先删除它：

askewchan's answer describes the way to do it (you cannot create a dataset under a name that already exists, but you can of course modify the dataset's data). Note, however, that the dataset must have the same shape as the data (X1) you are writing to it. If you want to replace the dataset with some other dataset of different shape, you first have to delete it:

del f1['meas/frame1/data']
dset = f1.create_dataset('meas/frame1/data', data=X1)

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