How to reset the index in groupby

Groupby how to reset the index, many novices are not very clear about this, in order to help you solve this problem, the following editor will explain for you in detail, people with this need can come to learn, I hope you can gain something.

1. Load data first

Df = pd.read_excel (r "D:\ my documents\ jupyter.xlsx") df

two。 Conventional aggregation operation

# ordinary aggregation operation df.groupby (["course nature"]) ["credits"] .sum ()

3. Reset indexing method 1

# reset indexing method-df.groupby (["course nature"]) ["credits"] .sum () .reset_index ()

4. Reset index method 2

# reset indexing method II Df.groupby (["nature of the course"], as_index = False) ["credits"] .sum ()

If you can't see clearly, please look below:

5. Aggregate operation with two sets of variables (the following two-tier index is purely a clerical error, but too lazy to change it)

# aggregate operation of two-tier index df.groupby (["nature of the course"]) ["credits", "overall score"] .sum ()

6. Use .reset _ index () to reset the index

# use .reset _ index () to reset the index df.groupby (["course nature"]) ["credits", "overall grade"] .sum () .reset_index ()

7. Reset the index with .groupby (as_index = False)

# use .groupby (as_index = False) to reset the index df.groupby (["course nature"], as_index = False) ["credits", "overall score"] .sum ()

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