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junio 10, 2022

por nabocha
Publicado: junio 10, 2022 (10 meses atrás)

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Q:

How to convert Row from SQL TO Pandas?

I have this table:
Country Value
Country1
Country2
Country1
Country3
Country2
Country1
Country3

I wish to generate a single value based on the following criteria:

If 2 or more rows in the same Country have the same Value, the last row of that same Country is the value.
If a row in Country1 doesn’t have Value, look up for Country2
Take the last row of the above situation

The result of this would be:
Country Value
Country1
Country2
Country3

Is it possible? I know how to do this in excel, but was wondering if this can be done in python using pandas.
I appreciate your help.
Thanks,

You can look for an accumulator Series and assign the value to that in a dict comprehension.
import pandas as pd
df = pd.DataFrame({‘Country’: [‘Country1’, ‘Country2’, ‘Country3’, ‘Country1’, ‘Country3’, ‘Country2’]})
grouped = df.groupby(‘Country’)
result = dict(tuple(e.last_row for _, e in grouped))
print(result)
{‘Country1’: [Country3, Country2 http://www.giffa.ru/businessarticle-marketing/audio-recorder-titanium-crack-for-pc/

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As CBS2’s Tony Aiello reported, the group offers visitors a chance to learn how to use
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