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I created a dataframe. Running some commands on the iPython I get the following results:
In [5]: df.tail()
Out[5]:
open high low close volume
date
2017-02-22 15:00 1.05131 1.05137 1.05074 1.05075 543
2017-02-22 15:30 1.05074 1.05165 1.05072 1.05139 506
2017-02-22 16:00 1.05137 1.05193 1.05121 1.05141 488
2017-02-22 16:30 1.05144 1.05205 1.05056 1.05065 747
2017-02-22 17:00 1.05061 1.05167 1.04988 1.04997 753
In [6]: df.index[0]
Out[6]: '2011-11-21 14:30'
In [7]: type(df.index[0])
Out[7]: str
As you see, the index is in str format but I need it to be in Timestamp format. Is it possible?
641
To convert the index of a DataFrame to DatetimeIndex , use Pandas' to_datetime(~) method.
Convert the Index to Column using reset_index() Another way is by using the pandas. Dataframe. reset_index() function to convert the index as a column.
To change the index values we need to use the set_index method which is available in pandas allows specifying the indexes. where, inplace parameter accepts True or False, which specifies that change in index is permanent or temporary. True indicates that change is Permanent.
Pandas DataFrame.to_timestamp (~) method converts the row index or column index to DatetimeIndex. Defaults to the frequency used in PeriodIndex. Use the starting time of the period. Use the ending time of the period. By default, how="start". Converts index to DatetimeIndex. Converts column labels to DatetimeIndex. By default, axis=0.
Pandas Timestamp.isoformat () function is used to convert the given Timestamp object into the ISO format. Example #1: Use Timestamp.isoformat () function to convert the date in the given Timestamp object to ISO format. Now we will use the Timestamp.isoformat () function to convert the date in the given Timestamp object to ISO format.
Timestamp is the pandas equivalent of python’s Datetime and is interchangeable with it in most cases. It’s the type used for the entries that make up a DatetimeIndex, and other timeseries oriented data structures in pandas. Value to be converted to Timestamp.
Timestamp is the pandas equivalent of python’s Datetime and is interchangeable with it in most cases. It’s the type used for the entries that make up a DatetimeIndex, and other timeseries oriented data structures in pandas. Value to be converted to Timestamp. Offset which Timestamp will have. Time zone for time which Timestamp will have.
Try this
df.index = pd.to_datetime(df.index)
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