How can I convert from Pandas DataFrame to TimeSeries?

Question

I have a data frame which looks like this. How can I create a Time Series from this data frame??

df = pd.read_csv("example.csv", parse_dates=True)
df.tail()

The output is what you see below.

I tried pd.Series(df). However I get this error: ValueError: cannot copy sequence with size 3 to array axis with dimension 729.

The data I am reading in looks like this:

Answer 1

Let df be your dataframe, you can first read it and parse dates with:

df = pd.read_csv('yourfile.csv',parse_dates=['ds'])

then you can set its index to get the time as index with:

df = df.set_index('ds')

and then proceed. It depends on your needs but you should now have a dataframe ready for a time-series analysis.

EDIT:

I tried to reproduce your sample dataframe:

city,ds,bookings
City_1,2013-01-01,55
City_2,2013-01-02,56

And applied the above method it returns:

df = pd.read_csv('yourfile.csv',parse_dates=['ds'])
df = df.set_index('ds')

which returns:

              city  bookings
ds                          
2013-01-01  City_1        55
2013-01-02  City_2        56