ME breakpoints in fama french factors library

[MichaelWS]

ME_breakpoints.zip is not read because it is a different format.
In this zip, there is only one file "ME_Breakpoints.txt". How should this be handed?

[MichaelWS]

I am happy to put a PR that just reads the file using an if statement.

[jreback]

@MichaelWS where/what is this breakpoints file?

[MichaelWS]

the breakpoints between the deciles. For example what is the 5%, 10%, etc.

http://mba.tuck.dartmouth.edu/pages/faculty/ken.french/data_library.html#Breakpoints
It's in the same location as the rest. for example:
http://mba.tuck.dartmouth.edu/pages/faculty/ken.french/ftp/ME_Breakpoints.zip

[MichaelWS]

I am not sure how much this should be in pandas in general, but I feel like it should just work if famafrench is there.

Someone brought this particular file up to me today.

[jreback]

to the extent that other FamaFrench data exists not adverse to adding this. That said, might make sense to sping off some of these data utils to a new repo, maybe pandas-data, interested?

[MichaelWS]

I agree that it makes sense.

[MichaelWS]

I definitely think some of the data makes more sense in a separate repo. I feel like data needs much more urgent releases than pandas would

[MichaelWS]

jreback, how would you envision pandas-data to work

[jorisvandenbossche]

@MichaelWS let's discuss this in a separate issue (I am creating one)

[mmeanwe]

Not sure this is right place for this but new to Pandas and trying FamaFrench pandas:
This works:

read data from Ken French's website

ff = web.DataReader('F-F_Research_Data_Factors', 'famafrench')[0]
ff.columns = ['xsm', 'smb', 'hml', 'rf']

But this does not

read data from Ken French's website

ff = web.DataReader('F-F_Momentum_Factor', 'famafrench')[0]
ff.columns = ['mom']
Throws KeyError: 0
Any suggestions? Thanks

[jorisvandenbossche]

@gitmmeanwell web.DataReader('F-F_Momentum_Factor', 'famafrench') returns a dict with keys [1, 2], so that is why get a KeyError.

[mmeanwe]

Thanks for the reply - any suggestions on how to resolve? New to pandas
and data frames.
On Feb 8, 2015 5:32 AM, "Joris Van den Bossche" [email protected]
wrote:

@gitmmeanwell https://github.com/gitmmeanwell web.DataReader('F-F_Momentum_Factor',
'famafrench') returns a dict with keys [1, 2], so that is why get a
KeyError.

—
Reply to this email directly or view it on GitHub
#8842 (comment).

[jorisvandenbossche]

Not using 0 in web.DataReader('F-F_Momentum_Factor', 'famafrench')[0]?

I don't know what you are trying to achieve, so difficult to say. I also don't exactly know the structure of that dataset. So you will have to specify your question more (but maybe http://stackoverflow.com/ is a better place to ask)

[mmeanwe]

Here is some more info on Use case - I'll head to StackOverflow to research
further unless you have any final comments? Thanks again!

Goal: use Pandas to read file from FamaFrench website and perform some
analysis.

load packages (if it's redundant it'll be ignored)

import pandas.io.data as web

anything after the hashtag is a comment

#%reset
import datetime as dt
import matplotlib.pyplot as plt # plotting tools

the next one is an IPython command: it says put plots here in the

notebook, rather than in a separate window.
%matplotlib inline

read data from Ken French's website

ff = web.DataReader('F-F_Momentum_Factor', 'famafrench')

NB: ff.xs is a conflict, rename to xsm

ff.columns = ['mom']

txt file structure example (file downloaded to local c:) - this is the
file F-F_Momentum_Factor that is read from site and loaded to local c:\

This file was created by CMPT_ME_PRIOR_RETS using the 201412 CRSP
database. It
contains a momentum factor, constructed from six value-weight portfolios
formed
using independent sorts on size and prior return of NYSE, AMEX, and NASDAQ
stocks.
Mom is the average of the returns on two (big and small) high prior
return portfolios
minus the average of the returns on two low prior return portfolios. The
portfolios
are constructed monthly. Big means a firm is above the median market cap
on the NYSE
at the end of the previous month; small firms are below the median NYSE
market cap.
Prior return is measured from month -12 to - 2. Firms in the low prior
return
portfolio are below the 30th NYSE percentile. Those in the high portfolio
are above
the 70th NYSE percentile.

Missing data are indicated by -99.99 or -999.

      Mom

192701 0.44
etc
etc

On Sun, Feb 8, 2015 at 6:19 AM, Joris Van den Bossche <
[email protected]> wrote:

Not using 0 in web.DataReader('F-F_Momentum_Factor', 'famafrench')[0]?

I don't know what you are trying to achieve, so difficult to say. I also
don't exactly know the structure of that dataset. So you will have to
specify your question more (but maybe http://stackoverflow.com/ is a
better place to ask)

—
Reply to this email directly or view it on GitHub
#8842 (comment).

[mmeanwe]

Moving comment/issue to StackOverflow.

[MichaelWS]

web.DataReader('F-F_Momentum_Factor', 'famafrench') creates a dict with keys 1,2. 1 works for daily returns.
when we break this into a separate project, I would eventually like to make the keys ,"daily", "monthly", "annual" so it's easier to understand.

[jorisvandenbossche]

@MichaelWS be sure to open an issue for that at https://github.com/pydata/pandas-datareader/issues to not forget that! (as the separate project is already there)

[jorisvandenbossche]

and maybe also move this issue if you want

[jorisvandenbossche]

Closing this in favor of pydata/pandas-datareader#21