Pandas pivot table, sort values

Question

I am trying to create a pivot table in Pandas.

df_pivot = df_final.groupby('bm').apply(lambda sub: sub.pivot_table(
    index=['Utm_campaign', 'Time'],
    values=['Cost', 'Install', 'Show', 'Link_cliks', 'Reg', 'Ftd'],
    aggfunc=np.sum,
    margins=True,
    margins_name='Total'
))

# Calculation
df_pivot = df_pivot.assign(Instal_cost = df_pivot.Cost/df_pivot.Install)
df_pivot = df_pivot.assign(Reg_cost = df_pivot.Cost/df_pivot.Reg)
df_pivot = df_pivot.assign(FTD_cost = df_pivot.Cost/df_pivot.Ftd)
df_pivot = df_pivot.assign(CTR = df_pivot.Link_cliks/df_pivot.Show*100)

# Replace Inf
df_pivot.replace([np.inf, -np.inf, np.nan], 0, inplace=True)
df_pivot = df_pivot.drop(['Link_cliks', 'Show'], axis=1)

df_pivot = df_pivot.sort_values(by = ["bm", 'Utm_campaign'], axis = 0, ascending=[True, False])

I've attached an image from Excel as it is easier to see in tabular format what I am trying to achieve.

I tried using.sort_values() but I couldn't sort ' Cost '.

Thanks in advance

---

df_pivot:

bm	Utm_campaign	Time	Cost	Ftd	Install	Reg	Instal_cost	Reg_ cost	FTD_cost	CTR
name49438	Total		2,43	0	0	0	0	0	0	0
	OPD_DE_SL_name49438	11:00	2,43	0	0	0	0	0	0	0
name54908	Total		8,5	0	2	1	4,25	8,5	0	1,02
	OPD_DE_SL_name54908	10:00	8,5	0	2	0	4,25	0	0	1,02
		11:00	0	0	0	1	0	0	0	0
name56281	Total		17,76	0	4	3	4,44	5,92	0	0,63
	OPD_DE_name56281	11:00	17,76	0	4	3	4,44	5,92	0	0,63
name57749	Total		0,01	0	0	0	0	0	0	0
	OPD_DE_SL_name57749	10:00	0,01	0	0	0	0	0	0	0
		11:00	0	0	0	0	0	0	0	0

Answer 1

Try:

df_pivot['ucost'] = df_pivot['Cost'].str.replace(',', '').astype(int)
df_pivot = df_pivot.sort_values(by = ['ucost', "bm", 'Utm_campaign', "Time"], axis = 0, ascending=[False, True, False, True]).drop('ucost', axis=1)

---

res: