I have a dataframe that I got from the below code, but I am unable to convert the date
index to dd/mm/yyyy
df= pandas.read_html(base_url, header=0, index_col='Date', parse_dates=True)[0]
df.index = pandas.to_datetime(df.index, dayfirst=True)
This is the result
Col1 Col2
Date
2017-02-10 val1 val1
2017-02-09 val2 val2
2017-02-08 val3 val3
2017-02-07 val4 val4
I have tired a couple of other different variations that I searched for on stackoverflow, but i'm not able to find a combination that works.
it still prints out the date
as yyyy-mm-dd
If need DatetimeIndex
then is is problem, because yyyy-mm-dd
is default display format of dates
in pandas
.
If need string
index by DatetimeIndex.strftime
:
df.index = df.index.strftime('%d/%m/%Y')
print (df)
Col1 Col2
10/02/2017 val1 val1
09/02/2017 val2 val2
08/02/2017 val3 val3
07/02/2017 val4 val4
print (type(df.index[0]))
<class 'str'>
Unfortunately this does not work - docs :
with pd.option_context('display.date_dayfirst', True):
print (df)
Col1 Col2
Date
2017-02-10 val1 val1
2017-02-09 val2 val2
2017-02-08 val3 val3
2017-02-07 val4 val4
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