Convert Excel formulas to Python logic

Sure! To convert Excel formulas into Python logic, you’d typically use libraries like pandas, numpy, or simply Python’s built-in functionality. Here are some examples of common Excel formulas and their Python equivalents:

1. SUM (Excel) → Python

• Excel: =SUM(A1:A10)

• Python:

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import pandas as pd
df = pd.DataFrame({'A': [1, 2, 3, 4, 5, 6, 7, 8, 9, 10]})
sum_val = df['A'].sum()

2. AVERAGE (Excel) → Python

• Excel: =AVERAGE(A1:A10)

• Python:

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avg_val = df['A'].mean()

3. IF (Excel) → Python

• Excel: =IF(A1 > 10, "Greater", "Less")

• Python:

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df['Result'] = df['A'].apply(lambda x: 'Greater' if x > 10 else 'Less')

4. VLOOKUP (Excel) → Python

• Excel: =VLOOKUP(A1, B1:C10, 2, FALSE)

• Python:

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lookup_df = pd.DataFrame({'B': [1, 2, 3, 4], 'C': ['a', 'b', 'c', 'd']})
result = lookup_df.loc[lookup_df['B'] == df['A'], 'C'].values[0]

5. SUMIF (Excel) → Python

• Excel: =SUMIF(A1:A10, ">5", B1:B10)

• Python:

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sumif_val = df[df['A'] > 5]['B'].sum()

6. COUNTIF (Excel) → Python

• Excel: =COUNTIF(A1:A10, ">5")

• Python:

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countif_val = len(df[df['A'] > 5])

7. CONCATENATE (Excel) → Python

• Excel: =CONCATENATE(A1, " ", B1)

• Python:

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df['Full_Name'] = df['A'] + " " + df['B']

8. LEFT (Excel) → Python

• Excel: =LEFT(A1, 5)

• Python:

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df['Left_Part'] = df['A'].str[:5]

9. RIGHT (Excel) → Python

• Excel: =RIGHT(A1, 5)

• Python:

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df['Right_Part'] = df['A'].str[-5:]

10. LEN (Excel) → Python

• Excel: =LEN(A1)

• Python:

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df['Length'] = df['A'].str.len()

11. DATE (Excel) → Python

• Excel: =DATE(2023, 5, 18)

• Python:

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from datetime import datetime
date_val = datetime(2023, 5, 18)

12. TODAY (Excel) → Python

• Excel: =TODAY()

• Python:

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today = pd.to_datetime('today')

13. NOW (Excel) → Python

• Excel: =NOW()

• Python:

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now = pd.to_datetime('now')

Let me know if you need more complex conversions or a specific example!