I run the following code function on my dataframe:
del dfname["Unnamed: 0"]
dfname["date"] = pd.to_datetime(dfname["date"])
dfname.set_index(dfname["date"], drop=True, inplace=True)
But the column does not drop (I know that the default is drop=True)
The output dataframe looks like this. I'm using Python 3.6
Change column of DataFrame to column name, also drop = True is default, so is possible remove it:
dfname.set_index(dfname["date"], drop = True, inplace = True)
to:
dfname.set_index("date", inplace = True)
Sample:
rng = pd.date_range('2017-04-03', periods=10)
dfname = pd.DataFrame({'date': rng, 'a': range(10)})
dfname.set_index("date", inplace = True)
print (dfname)
a
date
2017-04-03 0
2017-04-04 1
2017-04-05 2
2017-04-06 3
2017-04-07 4
2017-04-08 5
2017-04-09 6
2017-04-10 7
2017-04-11 8
2017-04-12 9
EDIT:
If input is file, use read_csv with parameters index_col and parse_dates for DatetimeIndex:
df = pd.read_csv(file, index_col=['date'], parse_dates=['date'])