蟒蛇熊猫打破对Python的阅读3.6.x的HDF文件

问题描述 投票:1回答:1

我使用的是蟒蛇环境使用Python 3.6.8,与conda create -n temp pandas pytables h5py python=3.6.8创建。当我尝试读取.h5文件,如:

f = pd.read_hdf(filename, key)

我得到一个ValueError例外:

Traceback (most recent call last):
  File "read_data.py", line 6, in <module>
    f = pd.read_hdf(filename, key)
  File "/home/fauzanzaid/anaconda3/envs/temp/lib/python3.6/site-packages/pandas/io/pytables.py", line 394, in read_hdf
    return store.select(key, auto_close=auto_close, **kwargs)
  File "/home/fauzanzaid/anaconda3/envs/temp/lib/python3.6/site-packages/pandas/io/pytables.py", line 741, in select
    return it.get_result()
  File "/home/fauzanzaid/anaconda3/envs/temp/lib/python3.6/site-packages/pandas/io/pytables.py", line 1483, in get_result
    results = self.func(self.start, self.stop, where)
  File "/home/fauzanzaid/anaconda3/envs/temp/lib/python3.6/site-packages/pandas/io/pytables.py", line 734, in func
    columns=columns)
  File "/home/fauzanzaid/anaconda3/envs/temp/lib/python3.6/site-packages/pandas/io/pytables.py", line 2928, in read
    ax = self.read_index('axis%d' % i, start=_start, stop=_stop)
  File "/home/fauzanzaid/anaconda3/envs/temp/lib/python3.6/site-packages/pandas/io/pytables.py", line 2523, in read_index
    _, index = self.read_index_node(getattr(self.group, key), **kwargs)
  File "/home/fauzanzaid/anaconda3/envs/temp/lib/python3.6/site-packages/pandas/io/pytables.py", line 2621, in read_index_node
    data = node[start:stop]
  File "/home/fauzanzaid/anaconda3/envs/temp/lib/python3.6/site-packages/tables/vlarray.py", line 685, in __getitem__
    return self.read(start, stop, step)
  File "/home/fauzanzaid/anaconda3/envs/temp/lib/python3.6/site-packages/tables/vlarray.py", line 821, in read
    listarr = self._read_array(start, stop, step)
  File "tables/hdf5extension.pyx", line 2155, in tables.hdf5extension.VLArray._read_array
ValueError: cannot set WRITEABLE flag to True of this array

这个问题消失,如果我用python的3.7或3.5的环境。不过,我需要使用Python 3.6。

我怎样才能解决这个问题?

pandas anaconda python-3.6 ubuntu-18.04 pytables
1个回答
0
投票

我降级numpy的,以1.14.3下面的命令,它为我工作:

PIP3安装numpy的== 1.14.3

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