Filter/ Remove rows of value that dates fall on 2021 from given dataframe

Question

Filter and remove dates that fall on 2021 from the given dataframe.

Example:

MNG     Cus         Regis_date
8059    281614530   20211230
8099    2810288123  20211105
8099    2810288123  20211106
8099    2810288123  20211210
8099    2810288123  20220110
8099    2810288123  20220124
8960    2815496326  20220422

Desired output:

MNG     Cus         Regis_date
8960    2815496326  20220422

Please help!
Thanks!

table photo here

Asked By: Zanetolearn

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Source

Answer 1

Try this:

# list to store unique cus
cus: list = []

# Filter cus that have regis_date in 2021
for _, row in df.iterrows():
    if row['Cus'] not in cus and row['Regis_date'].year == 2021:
        cus.append(row['Cus'])

# Remove cus that have regis_date in 2021
df = df[df['Cus'].isin(cus) == False]

Answered By: Immature trader

Filter/ Remove rows of value that dates fall on 2021 from given dataframe

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