Is there any way to get the info of a HDF table using the pandas HDF store?
For example in SQL there is:
SELECT COUNT(*)
I would like to read basic table sizes without having to load the tables itself.
try this:
In [4]: %paste
store_path = r'c:/temp/.data/test.h5'
store_key = 'test'
df.to_hdf(store_path, key=store_key, mode='w', format='t', complib='zlib', complevel=4)
## -- End pasted text --
In [5]: store = pd.HDFStore(store_path)
available methods
In [6]: store.
store.append store.flush store.items store.root
store.append_to_multiple store.get store.iteritems store.select
store.close store.get_node store.keys store.select_as_coordinates
store.copy store.get_storer store.open store.select_as_multiple
store.create_table_index store.groups store.put store.select_column
store.filename store.is_open store.remove
show items
In [6]: store.items
Out[6]:
<bound method HDFStore.items of <class 'pandas.io.pytables.HDFStore'>
File path: c:/temp/.data/test.h5
/test frame_table (typ->appendable,nrows->1000000,ncols->3,indexers->[index])>
In [8]: store.append('test_indexed', df, data_columns=df.columns)
In [9]: store.items
Out[9]:
<bound method HDFStore.items of <class 'pandas.io.pytables.HDFStore'>
File path: c:/temp/.data/test.h5
/test frame_table (typ->appendable,nrows->1000000,ncols->3,indexers->[index])
/test_indexed frame_table (typ->appendable,nrows->1000000,ncols->3,indexers->[index],dc->[A,B,C])>