这是创建csr_matrix的示例代码，然后我将其转换为SparseDataFrame并写入hdf5文件。
from scipy import sparse
from numpy import array
import pandas as pd
I = array([0,3,1,0])
J = array([0,3,1,2])
V = array([4,5,7,9])
A = sparse.coo_matrix((V,(I,J)),shape=(4,4))
然后按如下所示将其写入hdf5文件。
df = pd.SparseDataFrame(A)
df.to_hdf("/tmp/tmp.hdf", "my_data")
现在，如果我尝试将其读回，它将引发异常-“ NotImplementedError：固定的稀疏读取不支持开始和/或停止”。这很奇怪（好像是个错误），因为我能够以固定的稀疏格式编写但不能读取它。
df2 = pd.read_hdf("/tmp/tmp.hdf", "my_data")
Traceback (most recent call last):
File "<input>", line 1, in <module>
File "/Users/speaktribe/.virtualenvs/domain_classifier-g6h5ez5L/lib/python3.6/site-packages/pandas/io/pytables.py", line 394, in read_hdf
return store.select(key, auto_close=auto_close, **kwargs)
File "/Users/speaktribe/.virtualenvs/domain_classifier-g6h5ez5L/lib/python3.6/site-packages/pandas/io/pytables.py", line 741, in select
return it.get_result()
File "/Users/speaktribe/.virtualenvs/domain_classifier-g6h5ez5L/lib/python3.6/site-packages/pandas/io/pytables.py", line 1483, in get_result
results = self.func(self.start, self.stop, where)
File "/Users/speaktribe/.virtualenvs/domain_classifier-g6h5ez5L/lib/python3.6/site-packages/pandas/io/pytables.py", line 734, in func
columns=columns)
File "/Users/speaktribe/.virtualenvs/domain_classifier-g6h5ez5L/lib/python3.6/site-packages/pandas/io/pytables.py", line 2855, in read
kwargs = self.validate_read(kwargs)
File "/Users/speaktribe/.virtualenvs/domain_classifier-g6h5ez5L/lib/python3.6/site-packages/pandas/io/pytables.py", line 2821, in validate_read
raise NotImplementedError("start and/or stop are not supported "
NotImplementedError: start and/or stop are not supported in fixed Sparse reading
关于如何克服这一问题的任何建议？
我也尝试过以“表”格式编写，但是在这里写入失败。
df.to_hdf("/tmp/tmp.hdf", "my_data", format='table')
Traceback (most recent call last):
File "/Users/speaktribe/.virtualenvs/domain_classifier-g6h5ez5L/lib/python3.6/site-packages/pandas/io/pytables.py", line 1313, in _create_storer
return globals()[_TABLE_MAP[tt]](self, group, **kwargs)
KeyError: None
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "<input>", line 1, in <module>
File "/Users/speaktribe/.virtualenvs/domain_classifier-g6h5ez5L/lib/python3.6/site-packages/pandas/core/generic.py", line 1996, in to_hdf
return pytables.to_hdf(path_or_buf, key, self, **kwargs)
File "/Users/speaktribe/.virtualenvs/domain_classifier-g6h5ez5L/lib/python3.6/site-packages/pandas/io/pytables.py", line 279, in to_hdf
f(store)
File "/Users/speaktribe/.virtualenvs/domain_classifier-g6h5ez5L/lib/python3.6/site-packages/pandas/io/pytables.py", line 273, in <lambda>
f = lambda store: store.put(key, value, **kwargs)
File "/Users/speaktribe/.virtualenvs/domain_classifier-g6h5ez5L/lib/python3.6/site-packages/pandas/io/pytables.py", line 890, in put
self._write_to_group(key, value, append=append, **kwargs)
File "/Users/speaktribe/.virtualenvs/domain_classifier-g6h5ez5L/lib/python3.6/site-packages/pandas/io/pytables.py", line 1349, in _write_to_group
encoding=encoding, **kwargs)
File "/Users/speaktribe/.virtualenvs/domain_classifier-g6h5ez5L/lib/python3.6/site-packages/pandas/io/pytables.py", line 1315, in _create_storer
error('_TABLE_MAP')
File "/Users/speaktribe/.virtualenvs/domain_classifier-g6h5ez5L/lib/python3.6/site-packages/pandas/io/pytables.py", line 1239, in error
% (t, group, type(value), format, append, kwargs)
TypeError: cannot properly create the storer for: [_TABLE_MAP] [group->/my_data (Group) '',value-><class 'pandas.core.sparse.frame.SparseDataFrame'>,format->table,append->False,kwargs->{'encoding': None}]