如何创建具有多级列的数据透视表？

Question

Here's my current code:

pd.pivot_table(filtered_dfs[key], values=["Entered Debit Amount", "Entered Credit Amount", "Converted Debit Amount", "Converted Credit Amount"],
                    index=["ATTRIBUTE1 Value for Journal Entry Line DFF", "Segment3"], aggfunc=np.sum)

which works out fine and give me this output:

However I want the segment 3 to be a value to be grouped by as well, example:

Is there a way to do this with pandas pivot table?

Answer 1

IIUC use:

pd.pivot_table(filtered_dfs[key], values=["Entered Debit Amount", "Entered Credit Amount", "Converted Debit Amount", "Converted Credit Amount"],
                index=["ATTRIBUTE1 Value for Journal Entry Line DFF", "Segment3"], aggfunc=np.sum).unstack()

Or:

pd.pivot_table(filtered_dfs[key], values=["Entered Debit Amount", "Entered Credit Amount", "Converted Debit Amount", "Converted Credit Amount"],
                index="ATTRIBUTE1 Value for Journal Entry Line DFF", columns="Segment3", aggfunc=np.sum)