Reputation: 85
Now I am analyzing a lot of data extracted in logs.
Could you let me know how to sort a column of dataframe by index in alphabetical order?
I want to sort column values by "Temp" in alphabetical order.
I have tried to use "sort_values(by="", axis=1)"
ex) df = df.sort_values(by=['env','In','Temp'], axis=1)
I think I might not know how to sort values in multi-index.
I don't get expected result until now. :
from pandas import Series, DataFrame
raw_data = {'Function': ['env', 'env', 'env', 'func1', 'func1', 'func1'],
'Type': ['In', 'In', 'In', 'In','In', 'out'],
'Name': ['Volt', 'Temp', 'BD#', 'Name1','Name2', 'Name3'],
'Val1': ['Max', 'High', '1', '3', '5', '6'],
'Val2': ['Typ', 'Mid', '2', '4', '7', '6'],
'Val3': ['Min', 'Low', '3', '3', '6', '3'],
'Val4': ['Max', 'High', '4', '3', '9', '4'],
'Val5': ['Max', 'Low', '5', '3', '4', '5'] }
df = DataFrame(raw_data)
df= df.set_index(["Function", "Type","Name"])
print (df)
below is printed dataframe
Val1 Val2 Val3 Val4 Val5
Function Type Name
env In Volt Max Typ Min Max Max
Temp High Mid Low High Low
BD# 1 2 3 4 5
func1 In Name1 3 4 3 3 3
Name2 5 7 6 9 4
out Name3 6 6 3 4 5
I'd like to sort multi-index dataframe by "Temp".
below is expected df I want.
Val1 Val4 Val3 Val5 Val2
Function Type Name
env In Volt Max Max Min Max Typ
Temp High High Low Low Mid
BD# 1 4 3 5 2
func1 In Name1 3 3 3 3 4
Name2 5 9 6 4 7
out Name3 6 4 3 5 6
Upvotes: 0
Views: 170
Reputation: 13255
Use double transpose with sort_values
:
df = df.T.sort_values(('env','In','Temp')).T
print(df)
Val1 Val4 Val3 Val5 Val2
Function Type Name
env In Volt Max Max Min Max Typ
Temp High High Low Low Mid
BD# 1 4 3 5 2
func1 In Name1 3 3 3 3 4
Name2 5 9 6 4 7
out Name3 6 4 3 5 6
Upvotes: 2