在不存储索引的情况下将Pandas DataFrame存储在PyTables表中 [英] Store pandas DataFrame in PyTables table without storing index

问题描述

在许多DataFrame.to_foo函数中，我可以指定不想写索引

In many DataFrame.to_foo functions I can specify that I don't want to write the index

>>> help(df.to_csv)

Write DataFrame to a comma-separated values (csv) file

Parameters
----------
...
index : boolean, default True
    Write row names (index)
...

DataFrame.to_hdf是否存在类似的功能?我不想将索引存储在PyTables表中.

Does similar functionality exist for DataFrame.to_hdf? I would like to not store the index in the PyTables table.

推荐答案

您可以调出h5py并直接与HDF5交互.

You could call out to h5py and interact with HDF5 directly.

data = df.values
with h5py.File('data.h5','w') as f:
    f.create_dataset('my_table', data=data)

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