I have the following pandas dataframe df
:
import pandas as pd
from io import StringIO
s = '''\
"Unnamed: 0","Unnamed: 1"
Objet,"Unités vendues"
Chaise,3
Table,2
Tabouret,1
'''
df = pd.read_csv(StringIO(s))
which looks as:
Unnamed: 0 Unnamed: 1
0 Objet Unités vendues
1 Chaise 3
2 Table 2
3 Tabouret 1
My target is to make the first row as header.
I use :
headers = df.iloc[0]
df.columns = [headers]
However, the "0" appears in index column name (which is normal, because this 0 was in the first row).
0 Objet Unités vendues
1 Chaise 3
2 Table 2
I tried to delete it in many way, but nothing work :
Neither del df.index.name
from this post
Neither df.columns.name = None
from this post or this one (which is the same situation)
How can I have this expected output :
Objet Unités vendues
1 Chaise 3
2 Table 2
what about defining that when you load your table in the first place?
pd.read_csv('filename', header = 1)
otherwise I guess you can just do this:
df.drop('0', axis = 1)