我正面临这种奇怪的行为，我得到了一个包含 DataFrames 的 HDFStore。对于 store 中的 2 个键，形状信息因查询方式而异。例子：
In [1]: mystore = pandas.HDFStore('/store')
In [2]: mystore
Out[2]:
<class 'pandas.io.pytables.HDFStore'>
File path: /store
/chunk_data frame (shape->[1,1])
/enrich_data_kb frame (shape->[1,11])
/inputs frame (shape->[105,4])
/prepare_data frame (shape->[105,7])
/reduce_data frame (shape->[18,4])
In [3]: mystore['chunk_data'].shape
Out[3]: (0, 1)
In [4]: mystore['enrich_data_kb'].shape
Out[4]: (18, 11)
In [5]: mystore['inputs'].shape
Out[5]: (105, 4)
任何想法 ？
正如 Jeff 建议的那样，这是 ptdump 的结果（仅限于enrich_data_kb 键）：
/enrich_data_kb (Group) ''
/enrich_data_kb._v_attrs (AttributeSet), 13 attributes:
[CLASS := 'GROUP',
TITLE := '',
VERSION := '1.0',
axis0_variety := 'regular',
axis1_variety := 'regular',
block0_items_variety := 'regular',
block1_items_variety := 'regular',
block2_items_variety := 'regular',
encoding := None,
nblocks := 3,
ndim := 2,
pandas_type := 'frame',
pandas_version := '0.15.2']
/enrich_data_kb/axis0 (Array(11,)) ''
atom := StringAtom(itemsize=10, shape=(), dflt='')
maindim := 0
flavor := 'numpy'
byteorder := 'irrelevant'
chunkshape := None
/enrich_data_kb/axis0._v_attrs (AttributeSet), 7 attributes:
[CLASS := 'ARRAY',
FLAVOR := 'numpy',
TITLE := '',
VERSION := '2.4',
kind := 'string',
name := None,
transposed := True]
/enrich_data_kb/axis1 (Array(18,)) ''
atom := Int64Atom(shape=(), dflt=0)
maindim := 0
flavor := 'numpy'
byteorder := 'little'
chunkshape := None
/enrich_data_kb/axis1._v_attrs (AttributeSet), 7 attributes:
[CLASS := 'ARRAY',
FLAVOR := 'numpy',
TITLE := '',
VERSION := '2.4',
kind := 'integer',
name := None,
transposed := True]
/enrich_data_kb/block0_items (Array(8,)) ''
atom := StringAtom(itemsize=10, shape=(), dflt='')
maindim := 0
flavor := 'numpy'
byteorder := 'irrelevant'
chunkshape := None
/enrich_data_kb/block0_items._v_attrs (AttributeSet), 8 attributes:
[CLASS := 'ARRAY',
FLAVOR := 'numpy',
TITLE := '',
VERSION := '2.4',
freq := None,
kind := 'string',
name := None,
transposed := True]
/enrich_data_kb/block0_values (VLArray(1,)) ''
atom = ObjectAtom()
byteorder = 'irrelevant'
nrows = 1
flavor = 'numpy'
/enrich_data_kb/block0_values._v_attrs (AttributeSet), 5 attributes:
[CLASS := 'VLARRAY',
PSEUDOATOM := 'object',
TITLE := '',
VERSION := '1.4',
transposed := True]
/enrich_data_kb/block1_items (Array(2,)) ''
atom := StringAtom(itemsize=10, shape=(), dflt='')
maindim := 0
flavor := 'numpy'
byteorder := 'irrelevant'
chunkshape := None
/enrich_data_kb/block1_items._v_attrs (AttributeSet), 8 attributes:
[CLASS := 'ARRAY',
FLAVOR := 'numpy',
TITLE := '',
VERSION := '2.4',
freq := None,
kind := 'string',
name := None,
transposed := True]
/enrich_data_kb/block1_values (Array(18, 2)) ''
atom := Float64Atom(shape=(), dflt=0.0)
maindim := 0
flavor := 'numpy'
byteorder := 'little'
chunkshape := None
/enrich_data_kb/block1_values._v_attrs (AttributeSet), 5 attributes:
[CLASS := 'ARRAY',
FLAVOR := 'numpy',
TITLE := '',
VERSION := '2.4',
transposed := True]
/enrich_data_kb/block2_items (Array(1,)) ''
atom := StringAtom(itemsize=8, shape=(), dflt='')
maindim := 0
flavor := 'numpy'
byteorder := 'irrelevant'
chunkshape := None
/enrich_data_kb/block2_items._v_attrs (AttributeSet), 8 attributes:
[CLASS := 'ARRAY',
FLAVOR := 'numpy',
TITLE := '',
VERSION := '2.4',
freq := None,
kind := 'string',
name := None,
transposed := True]
/enrich_data_kb/block2_values (Array(18, 1)) ''
atom := Int64Atom(shape=(), dflt=0)
maindim := 0
flavor := 'numpy'
byteorder := 'little'
chunkshape := None
/enrich_data_kb/block2_values._v_attrs (AttributeSet), 5 attributes:
[CLASS := 'ARRAY',
FLAVOR := 'numpy',
TITLE := '',
VERSION := '2.4',
transposed := True]