reset_index_operator

Resets the DataFrame index.

class tasrif.processing_pipeline.pandas.reset_index_operator.ResetIndexOperator(**kwargs)

Examples

>>> import pandas as pd
>>> import numpy as np
>>>
>>> from tasrif.processing_pipeline.pandas import ResetIndexOperator
>>>
>>>
>>>
>>> df = pd.DataFrame([
...     [1,'2016-03-12 01:00:00',10],
...     [1,'2016-03-12 04:00:00',250],
...     [1,'2016-03-12 06:00:00',30],
...     [1,'2016-03-12 20:00:00',10],
...     [1,'2016-03-12 23:00:00',23],
...     [2,'2016-03-12 00:05:00',20],
...     [2,'2016-03-12 19:06:00',120],
...     [2,'2016-03-12 21:07:00',100],
...     [2,'2016-03-12 23:08:00',50],
...     [3,'2016-03-12 10:00:00',300]
... ], columns=['Id', 'ActivityTime', 'Calories'])
>>>
>>> df['ActivityTime'] = pd.to_datetime(df['ActivityTime'])
>>>
>>>
>>> df = df.set_index('ActivityTime')
>>> operator = ResetIndexOperator()
>>> df = operator.process(df)[0]
>>> df
ActivityTime    Id  Calories
0   2016-03-12 01:00:00     1   10
1   2016-03-12 04:00:00     1   250
2   2016-03-12 06:00:00     1   30
3   2016-03-12 20:00:00     1   10
4   2016-03-12 23:00:00     1   23
5   2016-03-12 00:05:00     2   20
6   2016-03-12 19:06:00     2   120
7   2016-03-12 21:07:00     2   100
8   2016-03-12 23:08:00     2   50
9   2016-03-12 10:00:00     3   300

__init__(**kwargs)

Initializes the operator

Parameters

**kwargs – key word arguments passed to pandas DataFrame.reset_index method

replace_operator rolling_operator