BUG: error in in _convert_to_indexer while using .loc with tz-aware DateTimeIndex

[lopezco]

addtl example / repro in #13908

Hello,

I encounter some problems using the data provided here: data.txt

When I was trying to use .loc on my DateTimeIndex, I go t the following error

KeyError: "['2015-03-01T02:00:00.000000000+0100'] not in index"

Notice that the error occurs only if we have the DST changing time in the DateTimeIndex

While debugging I've found that the error comes from the _convert_to_indexer method at:

# indexing.py
mask = check == -1
if mask.any():
    raise KeyError('%s not in index' % objarr[mask]) <------------------------------------

Here is the copy-paste example using the data on the .txt attached:

data = pd.read_csv("data.txt"), parse_dates={'time':['Date']})
data.set_index('time', inplace=True)
data.index = data.index.tz_localize('Europe/Paris', ambiguous='infer').tz_convert('UTC')

for i in range(1, len(data)):
    try:-aware 
        data.loc[data.index[:i], 'value'] = -1
    except Exception as e:
        print i,e
        break

Other important fact: the error occurs for pandas version 0.17.0 and 0.17.1. However, I've managed to make it work with an older version of pandas (0.16.2)

I hope this is explicit enough.

UPDATE

In[19]: pd.show_versions()

INSTALLED VERSIONS
------------------
commit: None
python: 2.7.6.final.0
python-bits: 64
OS: Linux
OS-release: 3.19.0-33-generic
machine: x86_64
processor: x86_64
byteorder: little
LC_ALL: None
LANG: en_US.UTF-8

pandas: 0.17.1
nose: 1.3.7
pip: 7.1.2
setuptools: 18.5
Cython: 0.23.4
numpy: 1.10.1
scipy: 0.16.1
statsmodels: None
IPython: 4.0.0
sphinx: None
patsy: None
dateutil: 2.4.2
pytz: 2015.7
blosc: None
bottleneck: None
tables: None
numexpr: 2.4.6
matplotlib: 1.5.0
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: None

[jreback]

pls show a copy-pastable example, and pd.show_versions()

[briandavidgreen]

I'm experiencing a similar issue, specifically when using a DateTimeIndex as a major_axis in a panel. Somewhere inside the pandas indexing, the dtype of a time-zone aware DateTimeIndex is being stripped away. Copy-paste example:
import pandas as pd

##########################################################################################
#Works
axis_0 = ['A','B','C']
axis_1 = pd.DatetimeIndex(start='2015-11-04',end='2015-11-05',freq='120T')
axis_2 = ['d','e','f']

normal_panel = pd.Panel(items = axis_0, major_axis = axis_1, minor_axis = axis_2)

normal_panel.ix[:,:,'d'] = 1.
normal_panel.ix[:,:,'e'] = normal_panel.ix[:,:,'d']

print normal_panel.ix[:,:,'e']

##########################################################################################
#Doesn't work
axis_0 = ['A','B','C']
axis_1 = pd.DatetimeIndex(start='2015-11-04',end='2015-11-05',freq='120T',tz='US/Central')
axis_2 = ['d','e','f']

tz_panel = pd.Panel(items = axis_0, major_axis = axis_1, minor_axis = axis_2)

tz_panel.ix[:,:,'d'] = 1.
tz_panel.ix[:,:,'e'] = tz_panel.ix[:,:,'d']

print tz_panel.ix[:,:,'e']

[briandavidgreen]

INSTALLED VERSIONS

commit: None
python: 2.7.10.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

pandas: 0.17.0
nose: 1.3.7
pip: 7.1.2
setuptools: 18.4
Cython: 0.23.4
numpy: 1.10.1
scipy: 0.16.0
statsmodels: 0.6.1
IPython: 4.0.0
sphinx: 1.3.1
patsy: 0.4.0
dateutil: 2.4.2
pytz: 2015.7
blosc: None
bottleneck: 1.0.0
tables: 3.2.2
numexpr: 2.4.4
matplotlib: 1.4.3
openpyxl: 2.2.6
xlrd: 0.9.4
xlwt: 1.0.0
xlsxwriter: 0.7.7
lxml: 3.4.4
bs4: 4.4.1
html5lib: None
httplib2: None
apiclient: None
sqlalchemy: 1.0.9
pymysql: None
psycopg2: None

[briandavidgreen]

Similarly I am able to produce joseRLC's issue when slicing on the major_axis:

tz_panel.ix[:,tz_panel.major_axis[0:1],'d'] = tz_panel.ix[:,tz_panel.major_axis[0:1],'e']

KeyError Traceback (most recent call last)
in ()
----> 1 tz_panel.ix[:,tz_panel.major_axis[0:1],'d'] = tz_panel.ix[:,tz_panel.major_axis[0:1],'e']

C:\Anaconda2\lib\site-packages\pandas\core\indexing.pyc in setitem(self, key, value)
112
113 def setitem(self, key, value):
--> 114 indexer = self._get_setitem_indexer(key)
115 self._setitem_with_indexer(indexer, value)
116

C:\Anaconda2\lib\site-packages\pandas\core\indexing.pyc in _get_setitem_indexer(self, key)
104
105 if isinstance(key, tuple) and not self.ndim < len(key):
--> 106 return self._convert_tuple(key, is_setter=True)
107
108 try:

C:\Anaconda2\lib\site-packages\pandas\core\indexing.pyc in _convert_tuple(self, key, is_setter)
153 else:
154 for i, k in enumerate(key):
--> 155 idx = self._convert_to_indexer(k, axis=i, is_setter=is_setter)
156 keyidx.append(idx)
157 return tuple(keyidx)

C:\Anaconda2\lib\site-packages\pandas\core\indexing.pyc in _convert_to_indexer(self, obj, axis, is_setter)
1119 mask = check == -1
1120 if mask.any():
-> 1121 raise KeyError('%s not in index' % objarr[mask])
1122
1123 return _values_from_object(indexer)

KeyError: "['2015-11-04T00:00:00.000000000-0600'] not in index"

[briandavidgreen]

@JoseRLC issue title should probably say "...with tz_aware DateTimeIndex" The issue does not occur for non-tz_aware indices.

[lopezco]

@briandavidgreen you're right. Sorry!