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Groups > comp.lang.python > #92625
| Newsgroups | comp.lang.python |
|---|---|
| Date | 2015-06-15 03:59 -0700 |
| References | <b0cbc75c-cc0b-4f27-a8d6-e4c20c356e6d@googlegroups.com> |
| Message-ID | <18f75f78-2a6b-4e3a-b3b8-3811b47ff3e4@googlegroups.com> (permalink) |
| Subject | Re: python financial data cleaning |
| From | Sebastian M Cheung <minscheung@googlemail.com> |
On Monday, June 15, 2015 at 11:13:07 AM UTC+1, Sebastian M Cheung wrote: > How to do financial data cleaning ? Say I assume a list of 1000 finance series data in myList = Open, High, Low and Close. For missing Close Price data, What is best practice to clean data in Python Thanks Mark just looking into Pandas now Seb
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python financial data cleaning Sebastian M Cheung <minscheung@googlemail.com> - 2015-06-15 03:12 -0700
Re: python financial data cleaning Mark Lawrence <breamoreboy@yahoo.co.uk> - 2015-06-15 11:19 +0100
Re: python financial data cleaning Sebastian M Cheung <minscheung@googlemail.com> - 2015-06-15 14:01 -0700
Re: python financial data cleaning Mark Lawrence <breamoreboy@yahoo.co.uk> - 2015-06-16 20:40 +0100
Re: python financial data cleaning Sebastian M Cheung <minscheung@googlemail.com> - 2015-06-15 03:59 -0700
Re: python financial data cleaning Laura Creighton <lac@openend.se> - 2015-06-15 13:34 +0200
Re: python financial data cleaning Sebastian M Cheung <minscheung@googlemail.com> - 2015-06-15 06:42 -0700
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