groupby boxplot doesn't work if multiple by's are used · Issue #14701 · pandas-dev/pandas (original) (raw)
Code Sample, a copy-pastable example if possible
data = pd.DataFrame({'A': [1, 1, 2, 2], 'B': ['a', 'b', 'a', 'b'], 'value': [1, 2, 3, 4]}) data.groupby(['A', 'B']).boxplot()
Problem description
This code fails with an obscure error message from the internals:
KeyError Traceback (most recent call last)
<ipython-input-118-d3ffaf6e9196> in <module>()
----> 1 data.groupby(['A', 'B']).boxplot()
/home/languitar/miniconda2/envs/monitoring/lib/python2.7/site-packages/pandas/tools/plotting.pyc in boxplot_frame_groupby(grouped, subplots, column, fontsize, rot, grid, ax, figsize, layout, **kwds)
3109 rot=rot, grid=grid, **kwds)
3110 ax.set_title(pprint_thing(key))
-> 3111 ret.loc[key] = d
3112 fig.subplots_adjust(bottom=0.15, top=0.9, left=0.1,
3113 right=0.9, wspace=0.2)
/home/languitar/miniconda2/envs/monitoring/lib/python2.7/site-packages/pandas/core/indexing.pyc in __setitem__(self, key, value)
137 else:
138 key = com._apply_if_callable(key, self.obj)
--> 139 indexer = self._get_setitem_indexer(key)
140 self._setitem_with_indexer(indexer, value)
141
/home/languitar/miniconda2/envs/monitoring/lib/python2.7/site-packages/pandas/core/indexing.pyc in _get_setitem_indexer(self, key)
124
125 try:
--> 126 return self._convert_to_indexer(key, is_setter=True)
127 except TypeError as e:
128
/home/languitar/miniconda2/envs/monitoring/lib/python2.7/site-packages/pandas/core/indexing.pyc in _convert_to_indexer(self, obj, axis, is_setter)
1227 mask = check == -1
1228 if mask.any():
-> 1229 raise KeyError('%s not in index' % objarr[mask])
1230
1231 return _values_from_object(indexer)
There is no hint in the documentation that this could be an illegal operation.
Expected Output
It should just print a boxplot for all groups, or if this really doesn't work, give a real hint why.
Output of pd.show_versions()
``` INSTALLED VERSIONS ------------------ commit: None python: 2.7.12.final.0 python-bits: 64 OS: Linux OS-release: 4.8.8-1-ARCH machine: x86_64 processor: byteorder: little LC_ALL: None LANG: en_US.UTF-8 LOCALE: en_US.UTF-8
pandas: 0.19.0
nose: None
pip: 8.1.2
setuptools: 27.2.0
Cython: None
numpy: 1.11.2
scipy: 0.18.1
statsmodels: None
xarray: None
IPython: 5.1.0
sphinx: None
patsy: None
dateutil: 2.5.3
pytz: 2016.7
blosc: None
bottleneck: None
tables: 3.3.0
numexpr: 2.6.1
matplotlib: 1.5.3
openpyxl: None
xlrd: None
xlwt: None
xlsxwriter: None
lxml: None
bs4: None
html5lib: None
httplib2: None
apiclient: None
sqlalchemy: None
pymysql: None
psycopg2: None
jinja2: 2.8
boto: None
pandas_datareader: None