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Apr
26 |
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comment |
How to build groups with read_csv()? I don't think it is a bug... i was able to make it work with your data |
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Apr
25 |
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answered | How to build groups with read_csv()? |
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Apr
16 |
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awarded | Notable Question |
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Apr
10 |
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answered | Python library for Portfolio Optimization |
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Mar
30 |
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asked | Pandas DataFrame columns as class attributes |
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Mar
22 |
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answered | Disable certain output nodes in PyBrain |
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Mar
19 |
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answered | Pandas: Using rolling_mean() with maximum information criteria as a Smoothing Function? |
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Mar
19 |
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awarded | Editor |
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Mar
19 |
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comment |
How to detect and adjust for stock splits? you could always change the number that you use as threshold for detecting the split. I have updated my answer to reflect 3:2 and reverse splits |
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Mar
19 |
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revised |
How to detect and adjust for stock splits? added 23 characters in body |
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Mar
19 |
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awarded | Teacher |
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Mar
19 |
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answered | How to detect and adjust for stock splits? |
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Mar
19 |
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answered | Scanning a stock database for errors/flaws |
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Mar
15 |
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accepted | Matrix Multiplication of a Pandas DataFrame and Series |
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Mar
15 |
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asked | Matrix Multiplication of a Pandas DataFrame and Series |
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Mar
8 |
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awarded | Yearling |
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Feb
28 |
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accepted | Selecting different columns in a pandas dataframe |
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Feb
28 |
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answered | How to iterate through two pandas columns |
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Feb
27 |
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asked | Selecting different columns in a pandas dataframe |
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Feb
27 |
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comment |
Cumulative OLS with Python Pandas pandas does offer cumsum (cumulative sum) and cumprod (cumulative product) that you could apply to a series. If you can break down you reduce your function into products and sums you could achieve what you are trying to do... |
