When running
pd.read_hdf('myfile.h5')
I get the following traceback error:
[[...some longer traceback]]
~/.local/lib/python3.6/site-packages/pandas/io/pytables.py in read_array(self, key, start, stop) 2487 2488 if isinstance(node, tables.VLArray): -> 2489 ret = node[0][start:stop] 2490 else: 2491 dtype = getattr(attrs, 'value_type', None)
~/.local/lib/python3.6/site-packages/tables/vlarray.py in getitem(self, key)
~/.local/lib/python3.6/site-packages/tables/vlarray.py in read(self, start, stop, step)
tables/hdf5extension.pyx in tables.hdf5extension.VLArray._read_array()
ValueError: cannot set WRITEABLE flag to True of this array
No clue what's going on. I've tried reinstalling tables, pandas everything basically, but doesn't want to read it.
Are you using numpy 1.16? It is incompatible with the latest release of pytables (see https://github.com/PyTables/PyTables/blob/v3.4.4/tables/hdf5extension.pyx#L2155) but the pytables team have not yet released a fixed version: https://github.com/PyTables/PyTables/issues/719
The only way I found to fix this is to downgrade numpy.
It seems that time-date strings were causing the problem and when I converted these from text to numpy (pd.to_datetime()) and stored the table and the problem went away so perhaps it has something to do with text data?
来源：https://stackoverflow.com/questions/54210073/pd-read-hdf-throws-cannot-set-writable-flag-to-true-of-this-array