Pandas display.date option not working

[ProfPh]

pandas: 0.17.0
python: 3.5.0.final.0

import pandas as pd

list1 = {"Date":["01/11/15"]} #1st November 2015
pd.set_option('display.date_dayfirst', True)
#pd.set_option('display.date_yearfirst', False)
df = pd.DataFrame(list1, columns=['Date'])
df['Date'] = pd.to_datetime(df['Date'], dayfirst = [True])
df1 = df.sort_values(['Date'], ascending=[True])

print(df1)

Prints:

        Date
0 2015-11-01

Setting both options to True and False doesn't work nor does only setting one. Printing df and df1 have the same result. And not specifying a dayfirst argument in pd.to_datetime doesn't change anything.

[jreback]

I don't think the actual display part of this was ever implemented.

the parsing is (though not tested with the actual option value).

pull-requests welcome on both counts!

[ProfPh]

So, currently, the only way to display sorted dates is Y-m-d ?

[jreback]

no this is just a display issue you can sort in many ways

[ProfPh]

Yeah that's what I meant, there's no way of displaying a sorted dataframe in other dateformats?

[jreback]

no, that's why its marked as an enhancement. though you could convert to string (e.g. via .strftime) if you wanted to just display it that way.

[ProfPh]

If it's a string then it can't be sorted? But if it's a datetime object then the format must be the default one? Damn, that sucks :/

[jreback]

you are missing the point. you can sort however you want. this is just a display issue only.

[ProfPh]

I think we're on different pages too. If I have a sorted dataframe and I want to export this to a .csv or a .xlsx, I don't have any way of changing how the date format is displayed? If I wanted it to be shown as 01/11/15 instead of 2015-11-01 there's no way of doing that currently?

[ProfPh]

Apologies, I see what you were talking about. In the code I put, if I had just changed the format after I sorted it, then I would have had no problems,

[joooeey]

How is this completed? The example given in the OP still doesn't work as implied by the docs for Pandas options.