python - IndexError obstructing code from working with larger csv file -

i have data sorts csv using groupby , plots information. used small sample of information create code. ran smoothly , tried running huge file of data.

i pretty new @ python , problem has been quite frustrating suggestions on how troubleshoot problem helpful.

my code stopping in section:

import pandas pd  df =pd.dataframe.from_csv('mydata.csv') mode = lambda ts: ts.value_counts(sort=true).index[0] 

i tried selecting parts of huge data file , ran, entire thing getting error:

indexerror: index 0 out of bounds axis 0 size 0

but i've looked @ 2 data set side-by-side , columns same! noticed big file has utf8 issues accents , working on combing out, indexerror perplexing me.

here traceback

runfile('c:/users/jbyrusb/documents/python scripts/tests/tests/topsixcustomersexecute.py', wdir='c:/users/jbyrusb/documents/python scripts/tests/tests') traceback (most recent call last):    file "<ipython-input-45-53a2a006076e>", line 1, in <module>     runfile('c:/users/jbyrusb/documents/python scripts/tests/tests/topsixcustomersexecute.py', wdir='c:/users/jbyrusb/documents/python scripts/tests/tests')    file "c:\users\jbyrusb\appdata\local\continuum\anaconda\lib\site-packages\spyderlib\widgets\externalshell\sitecustomize.py", line 682, in runfile     execfile(filename, namespace)    file "c:\users\jbyrusb\appdata\local\continuum\anaconda\lib\site-packages\spyderlib\widgets\externalshell\sitecustomize.py", line 71, in execfile     exec(compile(scripttext, filename, 'exec'), glob, loc)    file "c:/users/jbyrusb/documents/python scripts/tests/tests/topsixcustomersexecute.py", line 23, in <module>     df = df.groupby('companyname')[['column1','name', 'birthday', 'country', 'county']].agg(mode).t.reindex(columns=cols)    file "c:\users\jbyrusb\appdata\local\continuum\anaconda\lib\site-packages\pandas\core\groupby.py", line 676, in agg     return self.aggregate(func, *args, **kwargs)    file "c:\users\jbyrusb\appdata\local\continuum\anaconda\lib\site-packages\pandas\core\groupby.py", line 2674, in aggregate     result = self._aggregate_generic(arg, *args, **kwargs)    file "c:\users\jbyrusb\appdata\local\continuum\anaconda\lib\site-packages\pandas\core\groupby.py", line 2722, in _aggregate_generic     return self._aggregate_item_by_item(func, *args, **kwargs)    file "c:\users\jbyrusb\appdata\local\continuum\anaconda\lib\site-packages\pandas\core\groupby.py", line 2751, in _aggregate_item_by_item     colg.aggregate(func, *args, **kwargs), data)    file "c:\users\jbyrusb\appdata\local\continuum\anaconda\lib\site-packages\pandas\core\groupby.py", line 2307, in aggregate     result = self._aggregate_named(func_or_funcs, *args, **kwargs)    file "c:\users\jbyrusb\appdata\local\continuum\anaconda\lib\site-packages\pandas\core\groupby.py", line 2394, in _aggregate_named     output = func(group, *args, **kwargs)    file "c:/users/jbyrusb/documents/python scripts/tests/tests/topsixcustomersexecute.py", line 20, in <lambda>     mode = lambda ts: ts.value_counts(sort=true).index[0]    file "c:\users\jbyrusb\appdata\local\continuum\anaconda\lib\site-packages\pandas\core\index.py", line 915, in __getitem__     return getitem(key)  indexerror: index 0 out of bounds axis 0 size 0 

it difficult without seeing data causing error, try this:

mode = (lambda ts: ts.value_counts(sort=true).index[0]                     if len(ts.value_counts(sort=true)) else none)