On 27.04.2016 15:14, Edilson Santos wrote:
> Hi,
> I'm using a Michael Halls-Moore's source code, posted on
> https://www.quantstart.com/articles/Forecasting-Financial-Time-Series-Part-1
> The original code import the Yahoo's data, using a user-defined function.
> This function imports the data set with the correct number of decimal
> places.
> I've made a modification to import *.csv files, eliminating the function
> definition.
> The problem is that imported file comes with only two decimal places, even
> if the original file (*.csv) presents six decimal places.
> How can I get a DataFrame with correct decimal places?

This SIG is about relational databases, so I think you'd be better
off asking in a pandas related forum for help.

Something you might want to try is use the stdlib csv module
for the import and then pass the resulting list to pandas.

> ///////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
> #Location=r'C:\Users\...\XXXX.csv'
> Location = r'C:\Users\.....\XXXX.csv'
> #Access Data set
> ts =
> pd.DataFrame.from_csv(Location,header=0,sep=',',index_col=1,parse_dates=True,
>       encoding=None,tupleize_cols=False,infer_datetime_format=False)
> ////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////////
> 
> Best Regards
> 
> Edilson
> 
> 
> 
> _______________________________________________
> DB-SIG maillist  -  DB-SIG@python.org
> https://mail.python.org/mailman/listinfo/db-sig
> 

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