Pandas HDF5 append time series fails -


going through documentation of pandas hdf5 usability (http://pandas.pydata.org/pandas-docs/stable/io.html#io-hdf5) given example raises error:

import pandas pd import numpy np  store = pd.hdfstore('store.h5')  np.random.seed(1234)  index = pd.date_range('1/1/2000', periods=8)  df = pd.dataframe(np.random.randn(8, 3), index=index)  store['df'] = df  df1 = df[0:4] df2 = df[4:] store.append('df', df1) store.append('df', df2)  traceback (most recent call last):   file "c:\anaconda3\lib\site-packages\ipython\core\interactiveshell.py", line 2885, in run_code     exec(code_obj, self.user_global_ns, self.user_ns)   file "<ipython-input-225-ef7f2e059c6a>", line 1, in <module>     store.append('df', df1)   file "c:\anaconda3\lib\site-packages\pandas\io\pytables.py", line 919, in append     **kwargs)   file "c:\anaconda3\lib\site-packages\pandas\io\pytables.py", line 1252, in _write_to_group     raise valueerror('can append tables') valueerror: can append tables

has changed here? or doing wrong?

you need enable append default store in table format setting following option @ beginning store behaves df currently:

pd.set_option('io.hdf.default_format','table')

docs


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