rename_operator

Renames dataframe elements (rows, columns) using Pandas rename method.

class tasrif.processing_pipeline.pandas.rename_operator.RenameOperator(**kwargs)

Examples

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

__init__(**kwargs)

Initializes the operator

Parameters

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

read_csv_operator replace_operator