Description
Code Sample, a copy-pastable example if possible
From
import numpy as np
import pandas as pd
ser = pd.Series(np.arange(10), pd.interval_range(0, periods=10))
ser.to_msgpack('C:/temp/blah.mpk')
-->
TypeError Traceback (most recent call last)
<ipython-input-8-0da7c2fd5b28> in <module>()
----> 1 pd.Series(np.arange(10), pd.interval_range(0, periods=10)).to_msgpack('C:/temp/blah.mpk')
C:\projects\pandas-dk\pandas\core\generic.py in to_msgpack(self, path_or_buf, encoding, **kwargs)
1860 from pandas.io import packers
1861 return packers.to_msgpack(path_or_buf, self, encoding=encoding,
-> 1862 **kwargs)
1863
1864 def to_sql(self, name, con, schema=None, if_exists='fail', index=True,
C:\projects\pandas-dk\pandas\io\packers.py in to_msgpack(path_or_buf, *args, **kwargs)
152 if isinstance(path_or_buf, compat.string_types):
153 with open(path_or_buf, mode) as fh:
--> 154 writer(fh)
155 elif path_or_buf is None:
156 buf = compat.BytesIO()
C:\projects\pandas-dk\pandas\io\packers.py in writer(fh)
147 def writer(fh):
148 for a in args:
--> 149 fh.write(pack(a, **kwargs))
150
151 path_or_buf = _stringify_path(path_or_buf)
C:\projects\pandas-dk\pandas\io\packers.py in pack(o, default, encoding, unicode_errors, use_single_float, autoreset, use_bin_type)
700 use_single_float=use_single_float,
701 autoreset=autoreset,
--> 702 use_bin_type=use_bin_type).pack(o)
703
704
C:\projects\pandas-dk\pandas\io\msgpack\_packer.pyx in pandas.io.msgpack._packer.Packer.pack()
229 return ret
230
--> 231 cpdef pack(self, object obj):
232 cdef int ret
233 ret = self._pack(obj, DEFAULT_RECURSE_LIMIT)
C:\projects\pandas-dk\pandas\io\msgpack\_packer.pyx in pandas.io.msgpack._packer.Packer.pack()
231 cpdef pack(self, object obj):
232 cdef int ret
--> 233 ret = self._pack(obj, DEFAULT_RECURSE_LIMIT)
234 if ret == -1:
235 raise MemoryError
C:\projects\pandas-dk\pandas\io\msgpack\_packer.pyx in pandas.io.msgpack._packer.Packer._pack()
190 ret = self._pack(k, nest_limit - 1)
191 if ret != 0: break
--> 192 ret = self._pack(v, nest_limit - 1)
193 if ret != 0: break
194 elif PyDict_Check(o):
C:\projects\pandas-dk\pandas\io\msgpack\_packer.pyx in pandas.io.msgpack._packer.Packer._pack()
190 ret = self._pack(k, nest_limit - 1)
191 if ret != 0: break
--> 192 ret = self._pack(v, nest_limit - 1)
193 if ret != 0: break
194 elif PyDict_Check(o):
C:\projects\pandas-dk\pandas\io\msgpack\_packer.pyx in pandas.io.msgpack._packer.Packer._pack()
219 if ret == 0:
220 for v in o:
--> 221 ret = self._pack(v, nest_limit - 1)
222 if ret != 0: break
223 elif not default_used and self._default:
C:\projects\pandas-dk\pandas\io\msgpack\_packer.pyx in pandas.io.msgpack._packer.Packer._pack()
226 continue
227 else:
--> 228 raise TypeError("can't serialize {thing!r}".format(thing=o))
229 return ret
230
TypeError: can't serialize Interval(0, 1, closed='right')Problem description
Msgpack cannot serialize currently objects which have IntervalIndex. I am not sure if this is related in any way to #13463; there the issue was just serialization of a "Period", but PeriodIndex works. Here in the context of trying to serialize IntervalIndex it appears it's actually trying to serialize the Interval object.
Expected Output
Successful serialization without error.
Output of pd.show_versions()
INSTALLED VERSIONS
commit: e3b87c1
python: 3.6.4.final.0
python-bits: 64
OS: Windows
OS-release: 7
machine: AMD64
processor: Intel64 Family 6 Model 62 Stepping 4, GenuineIntel
byteorder: little
LC_ALL: None
LANG: None
LOCALE: None.None
pandas: 0.23.0.dev0+422.ge3b87c1
pytest: 3.3.2
pip: 9.0.1
setuptools: 38.4.0
Cython: 0.27.3
numpy: 1.14.0
scipy: 1.0.0
pyarrow: 0.8.0
xarray: 0.10.0
IPython: 6.2.1
sphinx: 1.6.6
patsy: 0.5.0
dateutil: 2.6.1
pytz: 2017.3
blosc: None
bottleneck: 1.2.1
tables: 3.4.2
numexpr: 2.6.4
feather: 0.4.0
matplotlib: 2.1.2
openpyxl: 2.4.10
xlrd: 1.1.0
xlwt: 1.3.0
xlsxwriter: 1.0.2
lxml: 4.1.1
bs4: 4.6.0
html5lib: 1.0.1
sqlalchemy: 1.2.1
pymysql: 0.7.11.None
psycopg2: None
jinja2: 2.10
s3fs: 0.1.2
fastparquet: 0.1.4
pandas_gbq: None
pandas_datareader: None