Aggregate function in pandas dataframe not working appropriately

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I'm trying to sum a certain column based on a groupby of another column, I have the code right, but the output is wildly different. So I tried a simply min() function on that groupby, the output from this is also completely different from the expected output, did I do something wrong by chance?

Below are the images of the df displayed. I grouped it by lga_desc, and when tested for minimum value from those rows, I get the wrong output

|Taxable Income |lga_desc|

|300,000,450    |Alpine  |

|240,000        |Alpine  |

|700,000        |Alpine  |

|260,000,450    |Ararat  |

|469,000        |Ararat  |

|5,200,000      |Ararat  |


df = df.groupby('lga_desc')
df = df['Taxable income'].min()

output when applying min function:

lga_desc

Alpine           700,000 

Ararat           469,000

these are the wrong outputs, from the given dataframe

thank you for the help!

pandas aggregate python
2 Answers

You need to convert the data type to int first:

df['Taxable Income'] = df['Taxable Income'].str.replace(',', '').astype(int)
result = df.groupby('lga_desc')['Taxable Income'].min().reset_index()

OUTPUT:

  lga_desc  Taxable Income
0  Alpine            240000
1  Ararat            469000
user_154380330

update for this question. After careful checking on my code again, apparently when I imported this file, all numbers become strings. So a lesson, don't forget to make sure your numbers are actual numbers! not strings :)

user_159052490
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