Comparing (less than) two values different columns not working

Question

I’m trying to compare two values on my sheet and the code is not working, although there are values that attend the condition that I am comparing.

The goal is: IF the END_DATE is smaller than the EFF_MTH, then the EFF_MTH should be the END_DATE value.

Can someone please assist? where am I missing the issue?

I added .all() as I was receiving the error:

ValueError: The truth value of a Series is ambiguous. Use a.empty, a.bool(), a.item(), a.any() or a.all().

Please let me know if there is a better way to handle this. Thanks in advance.

df = pd.read_excel (f"C:/Users/Me/Desktop/Cleaned_file - 12-01-22.xlsx")

## REMOVING TIME FROM DATES
df['DATE_START'] = df['DATE_START'].dt.strftime('%d%m%Y')

## Slices only the month
df['END_DATE'] = df['END_DATE'].dt.strftime('%d%m%Y'[2:4])

## Defines eff month based on period column

df.loc[df['PERIOD'] == '3Q', 'EFF_MTH'] = "09"
df.loc[df['PERIOD'] == '1H', 'EFF_MTH'] = "06"
df.loc[df['PERIOD'] == '2Q', 'EFF_MTH'] = "06"
df.loc[df['PERIOD'] == '1Q', 'EFF_MTH'] = "03"
df.loc[df['PERIOD'] == '2H', 'EFF_MTH'] = "12"
df.loc[df['PERIOD'] == '4Q', 'EFF_MTH'] = "12"

## comparing end month with eff month

if df['END_DATE'].all() < df['EFF_MTH'].all():
    df['EFF_MTH']== df['END_DATE']

Asked By: Ana Carolina Araujo

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Source

Answer 1

Did you mean if (df['END_DATE'] < df['EFF_MTH']).all()?

But what you want to do is:

df['EFF_MTH'] = np.where(df['END_DATE'] > df['EFF_MTH'], df['END_DATE'], df['EFF_MTH'])

Answered By: Yevhen Kuzmovych

Comparing (less than) two values different columns not working

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