How to introduce LAG time in Python?
DATA MUNGING

How to introduce LAG time in Python?

How to introduce LAG time in Python?

This recipe helps you introduce LAG time in Python

0
This python source code does the following : 1. Creates your own time series data. 2. Implements Lag time function("shift")for filling nan values. 3. Displays the final result.
In [1]:
## How to introduce LAG time in Python 
def Kickstarter_Example_46():
    print()
    print(format('How to introduce LAG time in Python','*^82'))
    import warnings
    warnings.filterwarnings("ignore")

    # Load library
    import pandas as pd

    # Create data frame
    df = pd.DataFrame()

    # Create data
    df['dates'] = pd.date_range('11/11/2016', periods=5, freq='D')
    df['stock_price'] = [1.1,2.2,3.3,4.4,5.5]

    # Lag Time Data By One Row
    df['previous_days_stock_price'] = df['stock_price'].shift(1)

    # Show data frame
    print(); print(df)

    # Lag Time Data By Two Rows
    df['previous_days_stock_price'] = df['stock_price'].shift(2)

    # Show data frame
    print(); print(df)

Kickstarter_Example_46()
***********************How to introduce LAG time in Python************************

       dates  stock_price  previous_days_stock_price
0 2016-11-11          1.1                        NaN
1 2016-11-12          2.2                        1.1
2 2016-11-13          3.3                        2.2
3 2016-11-14          4.4                        3.3
4 2016-11-15          5.5                        4.4

       dates  stock_price  previous_days_stock_price
0 2016-11-11          1.1                        NaN
1 2016-11-12          2.2                        NaN
2 2016-11-13          3.3                        1.1
3 2016-11-14          4.4                        2.2
4 2016-11-15          5.5                        3.3

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