How to introduce LAG time in Python?
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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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