Closed
Description
A copy-pastable code sample
import pandas
c = pandas.Categorical(["A", "B", "C", "D"], categories=["A", "B", "C", "D"])
df = pandas.DataFrame({"x": c})
bytes = df.to_msgpack()
pandas.read_msgpack(bytes)What happens
<ipython-input-1-ec1dc8306f4c> in <module>()
1 import pandas
2 df = pandas.DataFrame({"x": pandas.Categorical(["A", "B", "C", "D"], categories=["A", "B", "C", "D"])})
----> 3 pandas.read_msgpack(df.to_msgpack())
/home/pwaller/.local/lib/python3.4/site-packages/pandas/io/packers.py in read_msgpack(path_or_buf, encoding, iterator, **kwargs)
153 try:
154 fh = compat.BytesIO(path_or_buf)
--> 155 return read(fh)
156 finally:
157 if fh is not None:
/home/pwaller/.local/lib/python3.4/site-packages/pandas/io/packers.py in read(fh)
131
132 def read(fh):
--> 133 l = list(unpack(fh, encoding=encoding, **kwargs))
134 if len(l) == 1:
135 return l[0]
pandas/msgpack/_unpacker.pyx in pandas.msgpack._unpacker.Unpacker.__next__ (pandas/msgpack/_unpacker.cpp:5277)()
pandas/msgpack/_unpacker.pyx in pandas.msgpack._unpacker.Unpacker._unpack (pandas/msgpack/_unpacker.cpp:4268)()
/home/pwaller/.local/lib/python3.4/site-packages/pandas/io/packers.py in decode(obj)
526 placement=placement)
527
--> 528 blocks = [create_block(b) for b in obj['blocks']]
529 return globals()[obj['klass']](BlockManager(blocks, axes))
530 elif typ == 'datetime':
/home/pwaller/.local/lib/python3.4/site-packages/pandas/io/packers.py in <listcomp>(.0)
526 placement=placement)
527
--> 528 blocks = [create_block(b) for b in obj['blocks']]
529 return globals()[obj['klass']](BlockManager(blocks, axes))
530 elif typ == 'datetime':
/home/pwaller/.local/lib/python3.4/site-packages/pandas/io/packers.py in create_block(b)
513
514 def create_block(b):
--> 515 values = unconvert(b['values'], dtype_for(b['dtype']),
516 b['compress']).reshape(b['shape'])
517
/home/pwaller/.local/lib/python3.4/site-packages/pandas/io/packers.py in dtype_for(t)
181 if t in dtype_dict:
182 return dtype_dict[t]
--> 183 return np.typeDict[t]
184
185 c2f_dict = {'complex': np.float64,
KeyError: 'category'Expected Output
A DataFrame containing a categorical variable x.
output of pd.show_versions()
Note I have also tested 0.18.0rc1.
INSTALLED VERSIONS
------------------
commit: None
python: 3.4.3.final.0
python-bits: 64
OS: Linux
OS-release: 4.2.0-30-generic
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_GB.UTF-8
pandas: 0.17.1
nose: 1.3.6
pip: 8.1.0
setuptools: 20.0
Cython: 0.23.4
numpy: 1.10.2
scipy: 0.16.1
statsmodels: 0.6.1
IPython: 4.1.1
sphinx: None
patsy: 0.4.1
dateutil: 2.5.0
pytz: 2015.7
blosc: None
bottleneck: None
tables: 3.2.2
numexpr: 2.4.6
matplotlib: 1.5.0
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: 0.7.3
lxml: None
bs4: 4.3.2
html5lib: 0.999
httplib2: 0.9
apiclient: None
sqlalchemy: 1.0.11
pymysql: None
psycopg2: None
Jinja2: None