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@MichaelWS
Created December 16, 2013 23:46
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ptdump of panels
/ (RootGroup) ''
/._v_attrs (AttributeSet), 5 attributes:
[CLASS := 'GROUP',
FILTERS := Filters(complevel=9, complib='blosc', shuffle=True, fletcher32=False),
PYTABLES_FORMAT_VERSION := '2.1',
TITLE := '',
VERSION := '1.0']
/AR (Group) ''
/AR._v_attrs (AttributeSet), 15 attributes:
[CLASS := 'GROUP',
FILTERS := Filters(complevel=9, complib='blosc', shuffle=True, fletcher32=False),
TITLE := '',
VERSION := '1.0',
data_columns := ['liq', 'close', 'volume'],
encoding := None,
index_cols := [(1, 'major_axis'), (2, 'minor_axis')],
info := {'major_axis': {'index_name': 'id'}, 'minor_axis': {'index_name': 'date'}},
levels := 1,
nan_rep := 'nan',
non_index_axes := [(0, ['close', 'country', 'currency', 'high', 'low', 'open', 'volume', 'unadj_open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_volume', 'liq', 'adj_factor', 'dividend'])],
pandas_type := 'wide_table',
pandas_version := '0.10.1',
table_type := 'appendable_panel',
values_cols := ['values_block_0', 'values_block_1', 'liq', 'close', 'volume']]
/AR/table (Table(503182,), shuffle, blosc(9)) ''
description := {
"major_axis": StringCol(itemsize=11, shape=(), dflt='', pos=0),
"minor_axis": Int64Col(shape=(), dflt=0, pos=1),
"values_block_0": Float64Col(shape=(10,), dflt=0.0, pos=2),
"values_block_1": StringCol(itemsize=3, shape=(2,), dflt='', pos=3),
"liq": Float64Col(shape=(), dflt=0.0, pos=4),
"close": Float64Col(shape=(), dflt=0.0, pos=5),
"volume": Float64Col(shape=(), dflt=0.0, pos=6)}
byteorder := 'little'
chunkshape := (1016,)
/AR/table._v_attrs (AttributeSet), 30 attributes:
[CLASS := 'TABLE',
FIELD_0_FILL := '',
FIELD_0_NAME := 'major_axis',
FIELD_1_FILL := 0,
FIELD_1_NAME := 'minor_axis',
FIELD_2_FILL := 0.0,
FIELD_2_NAME := 'values_block_0',
FIELD_3_FILL := '',
FIELD_3_NAME := 'values_block_1',
FIELD_4_FILL := 0.0,
FIELD_4_NAME := 'liq',
FIELD_5_FILL := 0.0,
FIELD_5_NAME := 'close',
FIELD_6_FILL := 0.0,
FIELD_6_NAME := 'volume',
NROWS := 503182,
TITLE := '',
VERSION := '2.7',
close_dtype := 'float64',
close_kind := ['close'],
liq_dtype := 'float64',
liq_kind := ['liq'],
major_axis_kind := 'string',
minor_axis_kind := 'datetime64',
values_block_0_dtype := 'float64',
values_block_0_kind := ['adj_factor', 'dividend', 'high', 'low', 'open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_open', 'unadj_volume'],
values_block_1_dtype := 'string24',
values_block_1_kind := ['country', 'currency'],
volume_dtype := 'float64',
volume_kind := ['volume']]
/BM (Group) ''
/BM._v_attrs (AttributeSet), 15 attributes:
[CLASS := 'GROUP',
FILTERS := Filters(complevel=9, complib='blosc', shuffle=True, fletcher32=False),
TITLE := '',
VERSION := '1.0',
data_columns := ['liq', 'close', 'volume'],
encoding := None,
index_cols := [(1, 'major_axis'), (2, 'minor_axis')],
info := {'major_axis': {'index_name': 'id'}, 'minor_axis': {'index_name': 'date'}},
levels := 1,
nan_rep := 'nan',
non_index_axes := [(0, ['close', 'country', 'currency', 'high', 'low', 'open', 'volume', 'unadj_open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_volume', 'liq', 'adj_factor', 'dividend'])],
pandas_type := 'wide_table',
pandas_version := '0.10.1',
table_type := 'appendable_panel',
values_cols := ['values_block_0', 'values_block_1', 'liq', 'close', 'volume']]
/BM/table (Table(2466,), shuffle, blosc(9)) ''
description := {
"major_axis": StringCol(itemsize=11, shape=(), dflt='', pos=0),
"minor_axis": Int64Col(shape=(), dflt=0, pos=1),
"values_block_0": Float64Col(shape=(10,), dflt=0.0, pos=2),
"values_block_1": StringCol(itemsize=3, shape=(2,), dflt='', pos=3),
"liq": Float64Col(shape=(), dflt=0.0, pos=4),
"close": Float64Col(shape=(), dflt=0.0, pos=5),
"volume": Float64Col(shape=(), dflt=0.0, pos=6)}
byteorder := 'little'
chunkshape := (508,)
/BM/table._v_attrs (AttributeSet), 30 attributes:
[CLASS := 'TABLE',
FIELD_0_FILL := '',
FIELD_0_NAME := 'major_axis',
FIELD_1_FILL := 0,
FIELD_1_NAME := 'minor_axis',
FIELD_2_FILL := 0.0,
FIELD_2_NAME := 'values_block_0',
FIELD_3_FILL := '',
FIELD_3_NAME := 'values_block_1',
FIELD_4_FILL := 0.0,
FIELD_4_NAME := 'liq',
FIELD_5_FILL := 0.0,
FIELD_5_NAME := 'close',
FIELD_6_FILL := 0.0,
FIELD_6_NAME := 'volume',
NROWS := 2466,
TITLE := '',
VERSION := '2.7',
close_dtype := 'float64',
close_kind := ['close'],
liq_dtype := 'float64',
liq_kind := ['liq'],
major_axis_kind := 'string',
minor_axis_kind := 'datetime64',
values_block_0_dtype := 'float64',
values_block_0_kind := ['adj_factor', 'dividend', 'high', 'low', 'open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_open', 'unadj_volume'],
values_block_1_dtype := 'string24',
values_block_1_kind := ['country', 'currency'],
volume_dtype := 'float64',
volume_kind := ['volume']]
/BR (Group) ''
/BR._v_attrs (AttributeSet), 15 attributes:
[CLASS := 'GROUP',
FILTERS := Filters(complevel=9, complib='blosc', shuffle=True, fletcher32=False),
TITLE := '',
VERSION := '1.0',
data_columns := ['liq', 'close', 'volume'],
encoding := None,
index_cols := [(1, 'major_axis'), (2, 'minor_axis')],
info := {'major_axis': {'index_name': 'id'}, 'minor_axis': {'index_name': 'date'}},
levels := 1,
nan_rep := 'nan',
non_index_axes := [(0, ['close', 'country', 'currency', 'high', 'low', 'open', 'volume', 'unadj_open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_volume', 'liq', 'adj_factor', 'dividend'])],
pandas_type := 'wide_table',
pandas_version := '0.10.1',
table_type := 'appendable_panel',
values_cols := ['values_block_0', 'values_block_1', 'liq', 'close', 'volume']]
/BR/table (Table(3720504,), shuffle, blosc(9)) ''
description := {
"major_axis": StringCol(itemsize=11, shape=(), dflt='', pos=0),
"minor_axis": Int64Col(shape=(), dflt=0, pos=1),
"values_block_0": Float64Col(shape=(10,), dflt=0.0, pos=2),
"values_block_1": StringCol(itemsize=3, shape=(2,), dflt='', pos=3),
"liq": Float64Col(shape=(), dflt=0.0, pos=4),
"close": Float64Col(shape=(), dflt=0.0, pos=5),
"volume": Float64Col(shape=(), dflt=0.0, pos=6)}
byteorder := 'little'
chunkshape := (2032,)
/BR/table._v_attrs (AttributeSet), 30 attributes:
[CLASS := 'TABLE',
FIELD_0_FILL := '',
FIELD_0_NAME := 'major_axis',
FIELD_1_FILL := 0,
FIELD_1_NAME := 'minor_axis',
FIELD_2_FILL := 0.0,
FIELD_2_NAME := 'values_block_0',
FIELD_3_FILL := '',
FIELD_3_NAME := 'values_block_1',
FIELD_4_FILL := 0.0,
FIELD_4_NAME := 'liq',
FIELD_5_FILL := 0.0,
FIELD_5_NAME := 'close',
FIELD_6_FILL := 0.0,
FIELD_6_NAME := 'volume',
NROWS := 3720504,
TITLE := '',
VERSION := '2.7',
close_dtype := 'float64',
close_kind := ['close'],
liq_dtype := 'float64',
liq_kind := ['liq'],
major_axis_kind := 'string',
minor_axis_kind := 'datetime64',
values_block_0_dtype := 'float64',
values_block_0_kind := ['adj_factor', 'dividend', 'high', 'low', 'open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_open', 'unadj_volume'],
values_block_1_dtype := 'string24',
values_block_1_kind := ['country', 'currency'],
volume_dtype := 'float64',
volume_kind := ['volume']]
/CA (Group) ''
/CA._v_attrs (AttributeSet), 15 attributes:
[CLASS := 'GROUP',
FILTERS := Filters(complevel=9, complib='blosc', shuffle=True, fletcher32=False),
TITLE := '',
VERSION := '1.0',
data_columns := ['liq', 'close', 'volume'],
encoding := None,
index_cols := [(1, 'major_axis'), (2, 'minor_axis')],
info := {'major_axis': {'index_name': 'id'}, 'minor_axis': {'index_name': 'date'}},
levels := 1,
nan_rep := 'nan',
non_index_axes := [(0, ['close', 'country', 'currency', 'high', 'low', 'open', 'volume', 'unadj_open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_volume', 'liq', 'adj_factor', 'dividend'])],
pandas_type := 'wide_table',
pandas_version := '0.10.1',
table_type := 'appendable_panel',
values_cols := ['values_block_0', 'values_block_1', 'liq', 'close', 'volume']]
/CA/table (Table(30779139,), shuffle, blosc(9)) ''
description := {
"major_axis": StringCol(itemsize=11, shape=(), dflt='', pos=0),
"minor_axis": Int64Col(shape=(), dflt=0, pos=1),
"values_block_0": Float64Col(shape=(10,), dflt=0.0, pos=2),
"values_block_1": StringCol(itemsize=3, shape=(2,), dflt='', pos=3),
"liq": Float64Col(shape=(), dflt=0.0, pos=4),
"close": Float64Col(shape=(), dflt=0.0, pos=5),
"volume": Float64Col(shape=(), dflt=0.0, pos=6)}
byteorder := 'little'
chunkshape := (4064,)
/CA/table._v_attrs (AttributeSet), 30 attributes:
[CLASS := 'TABLE',
FIELD_0_FILL := '',
FIELD_0_NAME := 'major_axis',
FIELD_1_FILL := 0,
FIELD_1_NAME := 'minor_axis',
FIELD_2_FILL := 0.0,
FIELD_2_NAME := 'values_block_0',
FIELD_3_FILL := '',
FIELD_3_NAME := 'values_block_1',
FIELD_4_FILL := 0.0,
FIELD_4_NAME := 'liq',
FIELD_5_FILL := 0.0,
FIELD_5_NAME := 'close',
FIELD_6_FILL := 0.0,
FIELD_6_NAME := 'volume',
NROWS := 30779139,
TITLE := '',
VERSION := '2.7',
close_dtype := 'float64',
close_kind := ['close'],
liq_dtype := 'float64',
liq_kind := ['liq'],
major_axis_kind := 'string',
minor_axis_kind := 'datetime64',
values_block_0_dtype := 'float64',
values_block_0_kind := ['adj_factor', 'dividend', 'high', 'low', 'open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_open', 'unadj_volume'],
values_block_1_dtype := 'string24',
values_block_1_kind := ['country', 'currency'],
volume_dtype := 'float64',
volume_kind := ['volume']]
/CL (Group) ''
/CL._v_attrs (AttributeSet), 15 attributes:
[CLASS := 'GROUP',
FILTERS := Filters(complevel=9, complib='blosc', shuffle=True, fletcher32=False),
TITLE := '',
VERSION := '1.0',
data_columns := ['liq', 'close', 'volume'],
encoding := None,
index_cols := [(1, 'major_axis'), (2, 'minor_axis')],
info := {'major_axis': {'index_name': 'id'}, 'minor_axis': {'index_name': 'date'}},
levels := 1,
nan_rep := 'nan',
non_index_axes := [(0, ['close', 'country', 'currency', 'high', 'low', 'open', 'volume', 'unadj_open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_volume', 'liq', 'adj_factor', 'dividend'])],
pandas_type := 'wide_table',
pandas_version := '0.10.1',
table_type := 'appendable_panel',
values_cols := ['values_block_0', 'values_block_1', 'liq', 'close', 'volume']]
/CL/table (Table(1197194,), shuffle, blosc(9)) ''
description := {
"major_axis": StringCol(itemsize=11, shape=(), dflt='', pos=0),
"minor_axis": Int64Col(shape=(), dflt=0, pos=1),
"values_block_0": Float64Col(shape=(10,), dflt=0.0, pos=2),
"values_block_1": StringCol(itemsize=3, shape=(2,), dflt='', pos=3),
"liq": Float64Col(shape=(), dflt=0.0, pos=4),
"close": Float64Col(shape=(), dflt=0.0, pos=5),
"volume": Float64Col(shape=(), dflt=0.0, pos=6)}
byteorder := 'little'
chunkshape := (2032,)
/CL/table._v_attrs (AttributeSet), 30 attributes:
[CLASS := 'TABLE',
FIELD_0_FILL := '',
FIELD_0_NAME := 'major_axis',
FIELD_1_FILL := 0,
FIELD_1_NAME := 'minor_axis',
FIELD_2_FILL := 0.0,
FIELD_2_NAME := 'values_block_0',
FIELD_3_FILL := '',
FIELD_3_NAME := 'values_block_1',
FIELD_4_FILL := 0.0,
FIELD_4_NAME := 'liq',
FIELD_5_FILL := 0.0,
FIELD_5_NAME := 'close',
FIELD_6_FILL := 0.0,
FIELD_6_NAME := 'volume',
NROWS := 1197194,
TITLE := '',
VERSION := '2.7',
close_dtype := 'float64',
close_kind := ['close'],
liq_dtype := 'float64',
liq_kind := ['liq'],
major_axis_kind := 'string',
minor_axis_kind := 'datetime64',
values_block_0_dtype := 'float64',
values_block_0_kind := ['adj_factor', 'dividend', 'high', 'low', 'open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_open', 'unadj_volume'],
values_block_1_dtype := 'string24',
values_block_1_kind := ['country', 'currency'],
volume_dtype := 'float64',
volume_kind := ['volume']]
/CO (Group) ''
/CO._v_attrs (AttributeSet), 15 attributes:
[CLASS := 'GROUP',
FILTERS := Filters(complevel=9, complib='blosc', shuffle=True, fletcher32=False),
TITLE := '',
VERSION := '1.0',
data_columns := ['liq', 'close', 'volume'],
encoding := None,
index_cols := [(1, 'major_axis'), (2, 'minor_axis')],
info := {'major_axis': {'index_name': 'id'}, 'minor_axis': {'index_name': 'date'}},
levels := 1,
nan_rep := 'nan',
non_index_axes := [(0, ['close', 'country', 'currency', 'high', 'low', 'open', 'volume', 'unadj_open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_volume', 'liq', 'adj_factor', 'dividend'])],
pandas_type := 'wide_table',
pandas_version := '0.10.1',
table_type := 'appendable_panel',
values_cols := ['values_block_0', 'values_block_1', 'liq', 'close', 'volume']]
/CO/table (Table(356160,), shuffle, blosc(9)) ''
description := {
"major_axis": StringCol(itemsize=11, shape=(), dflt='', pos=0),
"minor_axis": Int64Col(shape=(), dflt=0, pos=1),
"values_block_0": Float64Col(shape=(10,), dflt=0.0, pos=2),
"values_block_1": StringCol(itemsize=3, shape=(2,), dflt='', pos=3),
"liq": Float64Col(shape=(), dflt=0.0, pos=4),
"close": Float64Col(shape=(), dflt=0.0, pos=5),
"volume": Float64Col(shape=(), dflt=0.0, pos=6)}
byteorder := 'little'
chunkshape := (1016,)
/CO/table._v_attrs (AttributeSet), 30 attributes:
[CLASS := 'TABLE',
FIELD_0_FILL := '',
FIELD_0_NAME := 'major_axis',
FIELD_1_FILL := 0,
FIELD_1_NAME := 'minor_axis',
FIELD_2_FILL := 0.0,
FIELD_2_NAME := 'values_block_0',
FIELD_3_FILL := '',
FIELD_3_NAME := 'values_block_1',
FIELD_4_FILL := 0.0,
FIELD_4_NAME := 'liq',
FIELD_5_FILL := 0.0,
FIELD_5_NAME := 'close',
FIELD_6_FILL := 0.0,
FIELD_6_NAME := 'volume',
NROWS := 356160,
TITLE := '',
VERSION := '2.7',
close_dtype := 'float64',
close_kind := ['close'],
liq_dtype := 'float64',
liq_kind := ['liq'],
major_axis_kind := 'string',
minor_axis_kind := 'datetime64',
values_block_0_dtype := 'float64',
values_block_0_kind := ['adj_factor', 'dividend', 'high', 'low', 'open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_open', 'unadj_volume'],
values_block_1_dtype := 'string24',
values_block_1_kind := ['country', 'currency'],
volume_dtype := 'float64',
volume_kind := ['volume']]
/EC (Group) ''
/EC._v_attrs (AttributeSet), 15 attributes:
[CLASS := 'GROUP',
FILTERS := Filters(complevel=9, complib='blosc', shuffle=True, fletcher32=False),
TITLE := '',
VERSION := '1.0',
data_columns := ['liq', 'close', 'volume'],
encoding := None,
index_cols := [(1, 'major_axis'), (2, 'minor_axis')],
info := {'major_axis': {'index_name': 'id'}, 'minor_axis': {'index_name': 'date'}},
levels := 1,
nan_rep := 'nan',
non_index_axes := [(0, ['close', 'country', 'currency', 'high', 'low', 'open', 'volume', 'unadj_open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_volume', 'liq', 'adj_factor', 'dividend'])],
pandas_type := 'wide_table',
pandas_version := '0.10.1',
table_type := 'appendable_panel',
values_cols := ['values_block_0', 'values_block_1', 'liq', 'close', 'volume']]
/EC/table (Table(1,), shuffle, blosc(9)) ''
description := {
"major_axis": StringCol(itemsize=11, shape=(), dflt='', pos=0),
"minor_axis": Int64Col(shape=(), dflt=0, pos=1),
"values_block_0": Float64Col(shape=(10,), dflt=0.0, pos=2),
"values_block_1": StringCol(itemsize=3, shape=(2,), dflt='', pos=3),
"liq": Float64Col(shape=(), dflt=0.0, pos=4),
"close": Float64Col(shape=(), dflt=0.0, pos=5),
"volume": Float64Col(shape=(), dflt=0.0, pos=6)}
byteorder := 'little'
chunkshape := (508,)
/EC/table._v_attrs (AttributeSet), 30 attributes:
[CLASS := 'TABLE',
FIELD_0_FILL := '',
FIELD_0_NAME := 'major_axis',
FIELD_1_FILL := 0,
FIELD_1_NAME := 'minor_axis',
FIELD_2_FILL := 0.0,
FIELD_2_NAME := 'values_block_0',
FIELD_3_FILL := '',
FIELD_3_NAME := 'values_block_1',
FIELD_4_FILL := 0.0,
FIELD_4_NAME := 'liq',
FIELD_5_FILL := 0.0,
FIELD_5_NAME := 'close',
FIELD_6_FILL := 0.0,
FIELD_6_NAME := 'volume',
NROWS := 1,
TITLE := '',
VERSION := '2.7',
close_dtype := 'float64',
close_kind := ['close'],
liq_dtype := 'float64',
liq_kind := ['liq'],
major_axis_kind := 'string',
minor_axis_kind := 'datetime64',
values_block_0_dtype := 'float64',
values_block_0_kind := ['adj_factor', 'dividend', 'high', 'low', 'open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_open', 'unadj_volume'],
values_block_1_dtype := 'string24',
values_block_1_kind := ['country', 'currency'],
volume_dtype := 'float64',
volume_kind := ['volume']]
/JM (Group) ''
/JM._v_attrs (AttributeSet), 15 attributes:
[CLASS := 'GROUP',
FILTERS := Filters(complevel=9, complib='blosc', shuffle=True, fletcher32=False),
TITLE := '',
VERSION := '1.0',
data_columns := ['liq', 'close', 'volume'],
encoding := None,
index_cols := [(1, 'major_axis'), (2, 'minor_axis')],
info := {'major_axis': {'index_name': 'id'}, 'minor_axis': {'index_name': 'date'}},
levels := 1,
nan_rep := 'nan',
non_index_axes := [(0, ['close', 'country', 'currency', 'high', 'low', 'open', 'volume', 'unadj_open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_volume', 'liq', 'adj_factor', 'dividend'])],
pandas_type := 'wide_table',
pandas_version := '0.10.1',
table_type := 'appendable_panel',
values_cols := ['values_block_0', 'values_block_1', 'liq', 'close', 'volume']]
/JM/table (Table(131355,), shuffle, blosc(9)) ''
description := {
"major_axis": StringCol(itemsize=11, shape=(), dflt='', pos=0),
"minor_axis": Int64Col(shape=(), dflt=0, pos=1),
"values_block_0": Float64Col(shape=(10,), dflt=0.0, pos=2),
"values_block_1": StringCol(itemsize=3, shape=(2,), dflt='', pos=3),
"liq": Float64Col(shape=(), dflt=0.0, pos=4),
"close": Float64Col(shape=(), dflt=0.0, pos=5),
"volume": Float64Col(shape=(), dflt=0.0, pos=6)}
byteorder := 'little'
chunkshape := (1016,)
/JM/table._v_attrs (AttributeSet), 30 attributes:
[CLASS := 'TABLE',
FIELD_0_FILL := '',
FIELD_0_NAME := 'major_axis',
FIELD_1_FILL := 0,
FIELD_1_NAME := 'minor_axis',
FIELD_2_FILL := 0.0,
FIELD_2_NAME := 'values_block_0',
FIELD_3_FILL := '',
FIELD_3_NAME := 'values_block_1',
FIELD_4_FILL := 0.0,
FIELD_4_NAME := 'liq',
FIELD_5_FILL := 0.0,
FIELD_5_NAME := 'close',
FIELD_6_FILL := 0.0,
FIELD_6_NAME := 'volume',
NROWS := 131355,
TITLE := '',
VERSION := '2.7',
close_dtype := 'float64',
close_kind := ['close'],
liq_dtype := 'float64',
liq_kind := ['liq'],
major_axis_kind := 'string',
minor_axis_kind := 'datetime64',
values_block_0_dtype := 'float64',
values_block_0_kind := ['adj_factor', 'dividend', 'high', 'low', 'open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_open', 'unadj_volume'],
values_block_1_dtype := 'string24',
values_block_1_kind := ['country', 'currency'],
volume_dtype := 'float64',
volume_kind := ['volume']]
/MX (Group) ''
/MX._v_attrs (AttributeSet), 15 attributes:
[CLASS := 'GROUP',
FILTERS := Filters(complevel=9, complib='blosc', shuffle=True, fletcher32=False),
TITLE := '',
VERSION := '1.0',
data_columns := ['liq', 'close', 'volume'],
encoding := None,
index_cols := [(1, 'major_axis'), (2, 'minor_axis')],
info := {'major_axis': {'index_name': 'id'}, 'minor_axis': {'index_name': 'date'}},
levels := 1,
nan_rep := 'nan',
non_index_axes := [(0, ['close', 'country', 'currency', 'high', 'low', 'open', 'volume', 'unadj_open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_volume', 'liq', 'adj_factor', 'dividend'])],
pandas_type := 'wide_table',
pandas_version := '0.10.1',
table_type := 'appendable_panel',
values_cols := ['values_block_0', 'values_block_1', 'liq', 'close', 'volume']]
/MX/table (Table(1874880,), shuffle, blosc(9)) ''
description := {
"major_axis": StringCol(itemsize=11, shape=(), dflt='', pos=0),
"minor_axis": Int64Col(shape=(), dflt=0, pos=1),
"values_block_0": Float64Col(shape=(10,), dflt=0.0, pos=2),
"values_block_1": StringCol(itemsize=3, shape=(2,), dflt='', pos=3),
"liq": Float64Col(shape=(), dflt=0.0, pos=4),
"close": Float64Col(shape=(), dflt=0.0, pos=5),
"volume": Float64Col(shape=(), dflt=0.0, pos=6)}
byteorder := 'little'
chunkshape := (2032,)
/MX/table._v_attrs (AttributeSet), 30 attributes:
[CLASS := 'TABLE',
FIELD_0_FILL := '',
FIELD_0_NAME := 'major_axis',
FIELD_1_FILL := 0,
FIELD_1_NAME := 'minor_axis',
FIELD_2_FILL := 0.0,
FIELD_2_NAME := 'values_block_0',
FIELD_3_FILL := '',
FIELD_3_NAME := 'values_block_1',
FIELD_4_FILL := 0.0,
FIELD_4_NAME := 'liq',
FIELD_5_FILL := 0.0,
FIELD_5_NAME := 'close',
FIELD_6_FILL := 0.0,
FIELD_6_NAME := 'volume',
NROWS := 1874880,
TITLE := '',
VERSION := '2.7',
close_dtype := 'float64',
close_kind := ['close'],
liq_dtype := 'float64',
liq_kind := ['liq'],
major_axis_kind := 'string',
minor_axis_kind := 'datetime64',
values_block_0_dtype := 'float64',
values_block_0_kind := ['adj_factor', 'dividend', 'high', 'low', 'open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_open', 'unadj_volume'],
values_block_1_dtype := 'string24',
values_block_1_kind := ['country', 'currency'],
volume_dtype := 'float64',
volume_kind := ['volume']]
/PA (Group) ''
/PA._v_attrs (AttributeSet), 15 attributes:
[CLASS := 'GROUP',
FILTERS := Filters(complevel=9, complib='blosc', shuffle=True, fletcher32=False),
TITLE := '',
VERSION := '1.0',
data_columns := ['liq', 'close', 'volume'],
encoding := None,
index_cols := [(1, 'major_axis'), (2, 'minor_axis')],
info := {'major_axis': {'index_name': 'id'}, 'minor_axis': {'index_name': 'date'}},
levels := 1,
nan_rep := 'nan',
non_index_axes := [(0, ['close', 'country', 'currency', 'high', 'low', 'open', 'volume', 'unadj_open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_volume', 'liq', 'adj_factor', 'dividend'])],
pandas_type := 'wide_table',
pandas_version := '0.10.1',
table_type := 'appendable_panel',
values_cols := ['values_block_0', 'values_block_1', 'liq', 'close', 'volume']]
/PA/table (Table(5,), shuffle, blosc(9)) ''
description := {
"major_axis": StringCol(itemsize=11, shape=(), dflt='', pos=0),
"minor_axis": Int64Col(shape=(), dflt=0, pos=1),
"values_block_0": Float64Col(shape=(10,), dflt=0.0, pos=2),
"values_block_1": StringCol(itemsize=3, shape=(2,), dflt='', pos=3),
"liq": Float64Col(shape=(), dflt=0.0, pos=4),
"close": Float64Col(shape=(), dflt=0.0, pos=5),
"volume": Float64Col(shape=(), dflt=0.0, pos=6)}
byteorder := 'little'
chunkshape := (508,)
/PA/table._v_attrs (AttributeSet), 30 attributes:
[CLASS := 'TABLE',
FIELD_0_FILL := '',
FIELD_0_NAME := 'major_axis',
FIELD_1_FILL := 0,
FIELD_1_NAME := 'minor_axis',
FIELD_2_FILL := 0.0,
FIELD_2_NAME := 'values_block_0',
FIELD_3_FILL := '',
FIELD_3_NAME := 'values_block_1',
FIELD_4_FILL := 0.0,
FIELD_4_NAME := 'liq',
FIELD_5_FILL := 0.0,
FIELD_5_NAME := 'close',
FIELD_6_FILL := 0.0,
FIELD_6_NAME := 'volume',
NROWS := 5,
TITLE := '',
VERSION := '2.7',
close_dtype := 'float64',
close_kind := ['close'],
liq_dtype := 'float64',
liq_kind := ['liq'],
major_axis_kind := 'string',
minor_axis_kind := 'datetime64',
values_block_0_dtype := 'float64',
values_block_0_kind := ['adj_factor', 'dividend', 'high', 'low', 'open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_open', 'unadj_volume'],
values_block_1_dtype := 'string24',
values_block_1_kind := ['country', 'currency'],
volume_dtype := 'float64',
volume_kind := ['volume']]
/PE (Group) ''
/PE._v_attrs (AttributeSet), 15 attributes:
[CLASS := 'GROUP',
FILTERS := Filters(complevel=9, complib='blosc', shuffle=True, fletcher32=False),
TITLE := '',
VERSION := '1.0',
data_columns := ['liq', 'close', 'volume'],
encoding := None,
index_cols := [(1, 'major_axis'), (2, 'minor_axis')],
info := {'major_axis': {'index_name': 'id'}, 'minor_axis': {'index_name': 'date'}},
levels := 1,
nan_rep := 'nan',
non_index_axes := [(0, ['close', 'country', 'currency', 'high', 'low', 'open', 'volume', 'unadj_open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_volume', 'liq', 'adj_factor', 'dividend'])],
pandas_type := 'wide_table',
pandas_version := '0.10.1',
table_type := 'appendable_panel',
values_cols := ['values_block_0', 'values_block_1', 'liq', 'close', 'volume']]
/PE/table (Table(914685,), shuffle, blosc(9)) ''
description := {
"major_axis": StringCol(itemsize=11, shape=(), dflt='', pos=0),
"minor_axis": Int64Col(shape=(), dflt=0, pos=1),
"values_block_0": Float64Col(shape=(10,), dflt=0.0, pos=2),
"values_block_1": StringCol(itemsize=3, shape=(2,), dflt='', pos=3),
"liq": Float64Col(shape=(), dflt=0.0, pos=4),
"close": Float64Col(shape=(), dflt=0.0, pos=5),
"volume": Float64Col(shape=(), dflt=0.0, pos=6)}
byteorder := 'little'
chunkshape := (2032,)
/PE/table._v_attrs (AttributeSet), 30 attributes:
[CLASS := 'TABLE',
FIELD_0_FILL := '',
FIELD_0_NAME := 'major_axis',
FIELD_1_FILL := 0,
FIELD_1_NAME := 'minor_axis',
FIELD_2_FILL := 0.0,
FIELD_2_NAME := 'values_block_0',
FIELD_3_FILL := '',
FIELD_3_NAME := 'values_block_1',
FIELD_4_FILL := 0.0,
FIELD_4_NAME := 'liq',
FIELD_5_FILL := 0.0,
FIELD_5_NAME := 'close',
FIELD_6_FILL := 0.0,
FIELD_6_NAME := 'volume',
NROWS := 914685,
TITLE := '',
VERSION := '2.7',
close_dtype := 'float64',
close_kind := ['close'],
liq_dtype := 'float64',
liq_kind := ['liq'],
major_axis_kind := 'string',
minor_axis_kind := 'datetime64',
values_block_0_dtype := 'float64',
values_block_0_kind := ['adj_factor', 'dividend', 'high', 'low', 'open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_open', 'unadj_volume'],
values_block_1_dtype := 'string24',
values_block_1_kind := ['country', 'currency'],
volume_dtype := 'float64',
volume_kind := ['volume']]
/TT (Group) ''
/TT._v_attrs (AttributeSet), 15 attributes:
[CLASS := 'GROUP',
FILTERS := Filters(complevel=9, complib='blosc', shuffle=True, fletcher32=False),
TITLE := '',
VERSION := '1.0',
data_columns := ['liq', 'close', 'volume'],
encoding := None,
index_cols := [(1, 'major_axis'), (2, 'minor_axis')],
info := {'major_axis': {'index_name': 'id'}, 'minor_axis': {'index_name': 'date'}},
levels := 1,
nan_rep := 'nan',
non_index_axes := [(0, ['close', 'country', 'currency', 'high', 'low', 'open', 'volume', 'unadj_open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_volume', 'liq', 'adj_factor', 'dividend'])],
pandas_type := 'wide_table',
pandas_version := '0.10.1',
table_type := 'appendable_panel',
values_cols := ['values_block_0', 'values_block_1', 'liq', 'close', 'volume']]
/TT/table (Table(56392,), shuffle, blosc(9)) ''
description := {
"major_axis": StringCol(itemsize=11, shape=(), dflt='', pos=0),
"minor_axis": Int64Col(shape=(), dflt=0, pos=1),
"values_block_0": Float64Col(shape=(10,), dflt=0.0, pos=2),
"values_block_1": StringCol(itemsize=3, shape=(2,), dflt='', pos=3),
"liq": Float64Col(shape=(), dflt=0.0, pos=4),
"close": Float64Col(shape=(), dflt=0.0, pos=5),
"volume": Float64Col(shape=(), dflt=0.0, pos=6)}
byteorder := 'little'
chunkshape := (508,)
/TT/table._v_attrs (AttributeSet), 30 attributes:
[CLASS := 'TABLE',
FIELD_0_FILL := '',
FIELD_0_NAME := 'major_axis',
FIELD_1_FILL := 0,
FIELD_1_NAME := 'minor_axis',
FIELD_2_FILL := 0.0,
FIELD_2_NAME := 'values_block_0',
FIELD_3_FILL := '',
FIELD_3_NAME := 'values_block_1',
FIELD_4_FILL := 0.0,
FIELD_4_NAME := 'liq',
FIELD_5_FILL := 0.0,
FIELD_5_NAME := 'close',
FIELD_6_FILL := 0.0,
FIELD_6_NAME := 'volume',
NROWS := 56392,
TITLE := '',
VERSION := '2.7',
close_dtype := 'float64',
close_kind := ['close'],
liq_dtype := 'float64',
liq_kind := ['liq'],
major_axis_kind := 'string',
minor_axis_kind := 'datetime64',
values_block_0_dtype := 'float64',
values_block_0_kind := ['adj_factor', 'dividend', 'high', 'low', 'open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_open', 'unadj_volume'],
values_block_1_dtype := 'string24',
values_block_1_kind := ['country', 'currency'],
volume_dtype := 'float64',
volume_kind := ['volume']]
/US (Group) ''
/US._v_attrs (AttributeSet), 15 attributes:
[CLASS := 'GROUP',
FILTERS := Filters(complevel=9, complib='blosc', shuffle=True, fletcher32=False),
TITLE := '',
VERSION := '1.0',
data_columns := ['liq', 'close', 'volume'],
encoding := None,
index_cols := [(1, 'major_axis'), (2, 'minor_axis')],
info := {'major_axis': {'index_name': 'id'}, 'minor_axis': {'index_name': 'date'}},
levels := 1,
nan_rep := 'nan',
non_index_axes := [(0, ['close', 'country', 'currency', 'high', 'low', 'open', 'volume', 'unadj_open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_volume', 'liq', 'adj_factor', 'dividend'])],
pandas_type := 'wide_table',
pandas_version := '0.10.1',
table_type := 'appendable_panel',
values_cols := ['values_block_0', 'values_block_1', 'liq', 'close', 'volume']]
/US/table (Table(57529039,), shuffle, blosc(9)) ''
description := {
"major_axis": StringCol(itemsize=11, shape=(), dflt='', pos=0),
"minor_axis": Int64Col(shape=(), dflt=0, pos=1),
"values_block_0": Float64Col(shape=(10,), dflt=0.0, pos=2),
"values_block_1": StringCol(itemsize=3, shape=(2,), dflt='', pos=3),
"liq": Float64Col(shape=(), dflt=0.0, pos=4),
"close": Float64Col(shape=(), dflt=0.0, pos=5),
"volume": Float64Col(shape=(), dflt=0.0, pos=6)}
byteorder := 'little'
chunkshape := (4064,)
/US/table._v_attrs (AttributeSet), 30 attributes:
[CLASS := 'TABLE',
FIELD_0_FILL := '',
FIELD_0_NAME := 'major_axis',
FIELD_1_FILL := 0,
FIELD_1_NAME := 'minor_axis',
FIELD_2_FILL := 0.0,
FIELD_2_NAME := 'values_block_0',
FIELD_3_FILL := '',
FIELD_3_NAME := 'values_block_1',
FIELD_4_FILL := 0.0,
FIELD_4_NAME := 'liq',
FIELD_5_FILL := 0.0,
FIELD_5_NAME := 'close',
FIELD_6_FILL := 0.0,
FIELD_6_NAME := 'volume',
NROWS := 57529039,
TITLE := '',
VERSION := '2.7',
close_dtype := 'float64',
close_kind := ['close'],
liq_dtype := 'float64',
liq_kind := ['liq'],
major_axis_kind := 'string',
minor_axis_kind := 'datetime64',
values_block_0_dtype := 'float64',
values_block_0_kind := ['adj_factor', 'dividend', 'high', 'low', 'open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_open', 'unadj_volume'],
values_block_1_dtype := 'string24',
values_block_1_kind := ['country', 'currency'],
volume_dtype := 'float64',
volume_kind := ['volume']]
/VE (Group) ''
/VE._v_attrs (AttributeSet), 15 attributes:
[CLASS := 'GROUP',
FILTERS := Filters(complevel=9, complib='blosc', shuffle=True, fletcher32=False),
TITLE := '',
VERSION := '1.0',
data_columns := ['liq', 'close', 'volume'],
encoding := None,
index_cols := [(1, 'major_axis'), (2, 'minor_axis')],
info := {'major_axis': {'index_name': 'id'}, 'minor_axis': {'index_name': 'date'}},
levels := 1,
nan_rep := 'nan',
non_index_axes := [(0, ['close', 'country', 'currency', 'high', 'low', 'open', 'volume', 'unadj_open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_volume', 'liq', 'adj_factor', 'dividend'])],
pandas_type := 'wide_table',
pandas_version := '0.10.1',
table_type := 'appendable_panel',
values_cols := ['values_block_0', 'values_block_1', 'liq', 'close', 'volume']]
/VE/table (Table(133650,), shuffle, blosc(9)) ''
description := {
"major_axis": StringCol(itemsize=11, shape=(), dflt='', pos=0),
"minor_axis": Int64Col(shape=(), dflt=0, pos=1),
"values_block_0": Float64Col(shape=(10,), dflt=0.0, pos=2),
"values_block_1": StringCol(itemsize=3, shape=(2,), dflt='', pos=3),
"liq": Float64Col(shape=(), dflt=0.0, pos=4),
"close": Float64Col(shape=(), dflt=0.0, pos=5),
"volume": Float64Col(shape=(), dflt=0.0, pos=6)}
byteorder := 'little'
chunkshape := (1016,)
/VE/table._v_attrs (AttributeSet), 30 attributes:
[CLASS := 'TABLE',
FIELD_0_FILL := '',
FIELD_0_NAME := 'major_axis',
FIELD_1_FILL := 0,
FIELD_1_NAME := 'minor_axis',
FIELD_2_FILL := 0.0,
FIELD_2_NAME := 'values_block_0',
FIELD_3_FILL := '',
FIELD_3_NAME := 'values_block_1',
FIELD_4_FILL := 0.0,
FIELD_4_NAME := 'liq',
FIELD_5_FILL := 0.0,
FIELD_5_NAME := 'close',
FIELD_6_FILL := 0.0,
FIELD_6_NAME := 'volume',
NROWS := 133650,
TITLE := '',
VERSION := '2.7',
close_dtype := 'float64',
close_kind := ['close'],
liq_dtype := 'float64',
liq_kind := ['liq'],
major_axis_kind := 'string',
minor_axis_kind := 'datetime64',
values_block_0_dtype := 'float64',
values_block_0_kind := ['adj_factor', 'dividend', 'high', 'low', 'open', 'unadj_close', 'unadj_high', 'unadj_low', 'unadj_open', 'unadj_volume'],
values_block_1_dtype := 'string24',
values_block_1_kind := ['country', 'currency'],
volume_dtype := 'float64',
volume_kind := ['volume']]
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