Input Data:
Period Invoice_No Amount Date Mar-19 123 5000.00 12-02-2019 Mar-19 124 5000.00 13-02-2019 Mar-19 125 7000.00 13-02-2019 Mar-19 126 5000.00 19-02-2019 Mar-19 127 5000.00 25-02-2019 Mar-19 128 5000.00 27-02-2019
So basically want to check if first row amount (5000.00) is equal to second row amount; then perform a date difference function (13-02-2019 “-” 12-02-2019) and if difference is less than “5 days” then the following is the output. If difference is more than 5 days exclude from the output (Line number 4)
Period Invoice_No Amount Date Mar-19 123 5000.00 12-02-2019 Mar-19 124 5000.00 13-02-2019 Mar-19 127 5000.00 25-02-2019 Mar-19 128 5000.00 27-02-2019
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Answer
You can shift the date to calculate the time delta between the rows. After I filter for the conditions you defined.
df['Date_diff'] = df['Date'].shift(-1)
df['Date_diff'] = df.apply(lambda x: pd.Timedelta(x['Date_diff'] - x['Date']),axis=1)
mask = (df['Amount'] == df['Amount'].shift(-1)) & (df['Date_diff'] < pd.Timedelta('5 days'))
mask2 = (df['Amount'] == df['Amount'].shift(1)) & (df['Date_diff'].shift(1) < pd.Timedelta('5 days'))
print(df[mask | mask2].drop('Date_diff', axis=1))
Period Invoice_No Amount Date
0 Feb-19 123 5000.0 2019-02-12
1 Feb-19 123 5000.0 2019-02-13