Reputation: 867
Installed latest version of pandas 0.9.0 in case this was an error. EDIT: forgot to mention this is Python 2.7. Trying to read Excel file. That part seems ok. Originally, I was trying iteritems() for each row of the pandas dataframe, as the id_company had to be verified against a mysql database (code not included). Same/similar error message to putting it into a tuple (code is below). Error message follows.
Note there is a .reindex() but it didn't work before, either. The reindex() was kind of a hail-mary.
As a work-around, I'm probably going to simply import from my target sql and do a join. I'm concerned because of the size of the datasets.
import pandas as pd
def runNow():
#identify sheet
source = 'C:\Users\jlalonde\Desktop\startup_geno\startupgenome_w_id_xl_20121109.xlsx'
xls_file = pd.ExcelFile(source)
sd = xls_file.parse('Sheet1')
source_u = sd.drop_duplicates(cols = 'id_company', take_last=False)
source_r = source_u[['id_company','id_good','description', 'website','keyword', 'company_name','founded_month', 'founded_year', 'description']]
source_i = source_r.reindex() #hail mary
tup_r = [tuple(x) for x in source_i.values]
Here is the error:
Traceback (most recent call last):
File "<pyshell#10>", line 1, in <module>
sg_sql_2.runNow()
File "sg_sql_2.py", line 31, in runNow
tup_r = [tuple(x) for x in source_r.values]
File "C:\Python27\lib\site-packages\pandas\core\frame.py", line 1443, in as_matrix
return self._data.as_matrix(columns).T
File "C:\Python27\lib\site-packages\pandas\core\internals.py", line 723, in as_matrix
mat = self._interleave(self.items)
File "C:\Python27\lib\site-packages\pandas\core\internals.py", line 743, in _interleave
indexer = items.get_indexer(block.items)
File "C:\Python27\lib\site-packages\pandas\core\index.py", line 748, in get_indexer
raise Exception('Reindexing only valid with uniquely valued Index '
Exception: Reindexing only valid with uniquely valued Index objects
So, after hammering my head against the wall on this for the better part of the day, can anyone tell me if this is a bug or if I am missing something really obvious?
Upvotes: 4
Views: 4732
Reputation: 105481
Fixed underlying bug today on GitHub: https://github.com/pydata/pandas/issues/2236
Upvotes: 4