chunkshape := (689,) autoindex := True colindexes := { "index": Index(6, medium, shuffle, zlib(1)).is_csi=False} Storing MultiIndex DataFrames Storing MultiIndex DataFrames as tables is very similar to storing/selecting colindexes := { "B": Index(9, full, shuffle, zlib(1)).is_csi=True} In [435]: st.close() See here for how to create a completely-sorted-index (CSI) on an existing store. Query via data columns You can shuffle, zlib(1)).is_csi=False, "B": Index(6, medium, shuffle, zlib(1)).is_csi=False, "C": Index(6, medium, shuffle, zlib(1)).is_csi=False, "string": Index(6, medium, shuffle, zlib(1)).is_csi=False, "string2":

chunkshape := (689,) autoindex := True colindexes := { "index": Index(6, medium, shuffle, zlib(1)).is_csi=False} 18.7.6 Storing Multi-Index DataFrames Storing multi-index dataframes as tables is very similar shuffle, zlib(1)).is_csi=False, "C": Index(6, medium, shuffle, zlib(1)).is_csi=False, "B": Index(6, medium, shuffle, zlib(1)).is_csi=False, "string2": Index(6, medium, shuffle, zlib(1)).is_csi=False, "string": "string": Index(6, medium, shuffle, zlib(1)).is_csi=False} There is some performance degredation by making lots of columns into data columns, so it is up to the user to designate these. In addition, you cannot

chunkshape := (689,) autoindex := True colindexes := { "index": Index(6, medium, shuffle, zlib(1)).is_csi=False} 19.8. HDF5 (PyTables) 505 pandas: powerful Python data analysis toolkit, Release 0.13.1 19 [303]: i.optlevel, i.kind Out[303]: (9, ’full’) See here for how to create a completely-sorted-index (CSI) on an existing store. 19.8.9 Query via Data Columns You can designate (and index) certain columns shuffle, zlib(1)).is_csi=False, "C": Index(6, medium, shuffle, zlib(1)).is_csi=False, "B": Index(6, medium, shuffle, zlib(1)).is_csi=False, "string2": Index(6, medium, shuffle, zlib(1)).is_csi=False, "string":

chunkshape := (689,) autoindex := True colindexes := { "index": Index(6, medium, shuffle, zlib(1)).is_csi=False} 19.8.6 Storing Multi-Index DataFrames Storing multi-index dataframes as tables is very similar [301]: i.optlevel, i.kind Out[301]: (9, ’full’) See here for how to create a completely-sorted-index (CSI) on an existing store. 19.8.9 Query via Data Columns You can designate (and index) certain columns shuffle, zlib(1)).is_csi=False, "C": Index(6, medium, shuffle, zlib(1)).is_csi=False, "B": Index(6, medium, shuffle, zlib(1)).is_csi=False, "string2": Index(6, medium, shuffle, zlib(1)).is_csi=False, "string":

chunkshape := (689,) autoindex := True colindexes := { "index": Index(6, medium, shuffle, zlib(1)).is_csi=False} 23.8.6 Storing Multi-Index DataFrames Storing multi-index dataframes as tables is very similar [318]: i.optlevel, i.kind Out[318]: (9, ’full’) See here for how to create a completely-sorted-index (CSI) on an existing store. 23.8.9 Query via Data Columns You can designate (and index) certain columns shuffle, zlib(1)).is_csi=False, "C": Index(6, medium, shuffle, zlib(1)).is_csi=False, "B": Index(6, medium, shuffle, zlib(1)).is_csi=False, "string2": Index(6, medium, shuffle, zlib(1)).is_csi=False, "string":

chunkshape := (689,) autoindex := True colindexes := { "index": Index(6, medium, shuffle, zlib(1)).is_csi=False} 23.8.6 Storing Multi-Index DataFrames Storing multi-index dataframes as tables is very similar Python data analysis toolkit, Release 0.15.1 See here for how to create a completely-sorted-index (CSI) on an existing store. 23.8.9 Query via Data Columns You can designate (and index) certain columns shuffle, zlib(1)).is_csi=False, "C": Index(6, medium, shuffle, zlib(1)).is_csi=False, "B": Index(6, medium, shuffle, zlib(1)).is_csi=False, "string2": Index(6, medium, shuffle, zlib(1)).is_csi=False, "string":

chunkshape := (689,) autoindex := True colindexes := { "index": Index(6, medium, shuffle, zlib(1)).is_csi=False} Storing Multi-Index DataFrames Storing multi-index dataframes as tables is very similar to [342]: i.optlevel, i.kind Out[342]: (9, 'full') See here for how to create a completely-sorted-index (CSI) on an existing store. Query via Data Columns You can designate (and index) certain columns that shuffle, zlib(1)).is_csi=False, "C": Index(6, medium, shuffle, zlib(1)).is_csi=False, "B": Index(6, medium, shuffle, zlib(1)).is_csi=False, "string2": Index(6, medium, shuffle, zlib(1)).is_csi=False, "string":

chunkshape := (689,) autoindex := True colindexes := { "index": Index(6, medium, shuffle, zlib(1)).is_csi=False} 25.8. HDF5 (PyTables) 959 pandas: powerful Python data analysis toolkit, Release 0.19.0 Storing colindexes := { "B": Index(9, full, shuffle, zlib(1)).is_csi=True} In [380]: st.close() See here for how to create a completely-sorted-index (CSI) on an existing store. Query via Data Columns You can shuffle, zlib(1)).is_csi=False, "C": Index(6, medium, shuffle, zlib(1)).is_csi=False, "B": Index(6, medium, shuffle, zlib(1)).is_csi=False, "string2": Index(6, medium, shuffle, zlib(1)).is_csi=False, "string":

chunkshape := (689,) autoindex := True colindexes := { "index": Index(6, medium, shuffle, zlib(1)).is_csi=False} Storing Multi-Index DataFrames Storing multi-index dataframes as tables is very similar to chunkshape := (2730,) autoindex := True colindexes := { "B": Index(9, full, shuffle, zlib(1)).is_csi=True} 968 Chapter 25. IO Tools (Text, CSV, HDF5, ...) pandas: powerful Python data analysis toolkit toolkit, Release 0.19.1 In [380]: st.close() See here for how to create a completely-sorted-index (CSI) on an existing store. Query via Data Columns You can designate (and index) certain columns that you

chunkshape := (689,) autoindex := True colindexes := { "index": Index(6, medium, shuffle, zlib(1)).is_csi=False} 24.8.5.2 Storing Multi-Index DataFrames Storing multi-index dataframes as tables is very similar colindexes := { "B": Index(9, full, shuffle, zlib(1)).is_csi=True} In [419]: st.close() See here for how to create a completely-sorted-index (CSI) on an existing store. 24.8.6.4 Query via Data Columns shuffle, zlib(1)).is_csi=False, "B": Index(6, medium, shuffle, zlib(1)).is_csi=False, "C": Index(6, medium, shuffle, zlib(1)).is_csi=False, "string": Index(6, medium, shuffle, zlib(1)).is_csi=False, "string2":