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A:

I’ll see if I can do better than others.
import pandas as pd

df = pd.read_csv(‘file.csv’)

df2 = df.loc[df.start_date > pd.datetime(2019,12,31)]
df2 = df2.loc[df2.start_date > pd.datetime(2019,12,31)]

df3 = pd.merge(df2, df, on=’start_date’, suffixes=[”, ‘_down’])
df3 = df3[~df3[‘_down’]].drop(‘_down’, 1)
df3 = df3.dropna()

print(df3)

start_date end_date month day value
0 2019-12-31 2019-12-31 12 31 22 255
1 2019-12-31 2019-12-31 12 31 23 32

P.S. Don’t use paste for appending empty strings, use something else, but you might be okay here. I’d write your code differently, but that’s off topic.

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