otp.Source.tail (jupyter)#

Source.tail(n=5, **kwargs)#

Executes the query and returns last n ticks as a pandas dataframe.

It is useful in the Jupyter case when you want to observe last n values.

Parameters:

  • n (int) – number of ticks to return

  • kwargs – parameters will be passed to otp.run

  • self (Source)

Return type:

DataFrame

Examples

>>> data = otp.Ticks(X=list('abcdefgik'))
>>> data.tail()
                     Time  X
0 2003-12-01 00:00:00.004  e
1 2003-12-01 00:00:00.005  f
2 2003-12-01 00:00:00.006  g
3 2003-12-01 00:00:00.007  i
4 2003-12-01 00:00:00.008  k

See also

onetick.py.agg.last()
otp.run
onetick.py.Source.head()
onetick.py.Source.count()