fetch_csv multiple columns - Always picking the last one

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fetch_csv multiple columns - Always picking the last one

patrick skerrett

edited Mar 6, 2016

Seeking Help Fetcher

Hello folks,

I am using fetch_csv to pull in a custom trigger file that I am massaging on another server.

Data is:


Report_Date_as_MM_DD_YYYY,Value,M_Money_Positions_Long_ALL,M_Money_Positions_Short_ALL  
2015-02-09 00:00:00,0.971660184826,1.01063518308  
2015-02-02 00:00:00,1.05036958713,1.17507058074  
2015-01-26 00:00:00,0.996146637139,0.97929879499  
2015-01-19 00:00:00,1.13220621458,1.2342616715

The code I am using for fetcher is -

fetch_csv('http://my.host/use.csv',  
              date_column='Report_Date_as_MM_DD_YYYY',  
              symbol='cot',  
              usecols=['M_Money_Positions_Long_ALL'],  
              date_format='%m/%d/%Y')

I am pulling the data into a variable using -

change_long = data['cot']['M_Money_Positions_Long_ALL']

No matter what I try, it is always using the last column in the csv as its value. Here is a debug -

>  
data['cot']  
 data['cot']: SIDData  
M_Money_Positions_Long_ALL: 0.97929879499  
datetime: 2015-01-26 00:00:00+00:00  
dt: 2015-01-26 00:00:00+00:00  
get: <instancemethod>  
mavg: <instancemethod>  
returns: <instancemethod>  
sid: cot  
source_id: PandasRequestsCSV  
stddev: <instancemethod>  
type: 9  
vwap: <instancemethod>

As you can see, 0.97929879499 is the wrong value for _Long. It is in the _Short column, but it seems to ignore anything but the last column in the csv.

Any ideas? I've been stuck on this for days.

Thanks.

1 response

patrick skerrett

Fixed.

There was a type-o and I had been up too long coding :)

Report_Date_as_MM_DD_YYYY,Value,M_Money_Positions_Long_ALL,M_Money_Positions_Short_ALL
Had an extra field (Value)

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The material on this website is provided for informational purposes only and does not constitute an offer to sell, a solicitation to buy, or a recommendation or endorsement for any security or strategy, nor does it constitute an offer to provide investment advisory services by Quantopian.

In addition, the material offers no opinion with respect to the suitability of any security or specific investment. No information contained herein should be regarded as a suggestion to engage in or refrain from any investment-related course of action as none of Quantopian nor any of its affiliates is undertaking to provide investment advice, act as an adviser to any plan or entity subject to the Employee Retirement Income Security Act of 1974, as amended, individual retirement account or individual retirement annuity, or give advice in a fiduciary capacity with respect to the materials presented herein. If you are an individual retirement or other investor, contact your financial advisor or other fiduciary unrelated to Quantopian about whether any given investment idea, strategy, product or service described herein may be appropriate for your circumstances. All investments involve risk, including loss of principal. Quantopian makes no guarantees as to the accuracy or completeness of the views expressed in the website. The views are subject to change, and may have become unreliable for various reasons, including changes in market conditions or economic circumstances.