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VisualizaçõesPandas unable to reset index because name exist
I have a multi-level pandas dataframe which im trying to level. I use reset_index but its giving me error that the name already exist.
I dont want to use reset_index(drop=True) because i want to keep one of the column names still.
i want as my new dataframe:
country,listing_neighborhood,count
right now,
df.columns only gives count.
my code:
df.columns = ['count']
df.reset_index() -> gives error that `ValueError: cannot insert country, already exists`
I also tried:
df.columns.droplevel(0) -> gives error that 'Index' object has no attribute 'droplevel'
·
Santiago Trujillo
2 Respostas
Responde à pergunta0
You need remove first duplicated level:
df = pd.DataFrame({
'A':list('abcdef'),
'B':[4,5,4,5,5,4],
'C':[7,8,9,4,2,3],
'F':list('aaabbb')
})
df = (df.set_index(['A','F','C'])
.rename_axis(['country','country','listing_neighborhood'])
.rename(columns={'B':'count'}))
print (df)
count
country country listing_neighborhood
a a 7 4
b a 8 5
c a 9 4
d b 4 5
e b 2 5
f b 3 4
df = df.reset_index(level=0, drop=True).reset_index()
print (df)
country listing_neighborhood count
0 a 7 4
1 a 8 5
2 a 9 4
3 b 4 5
4 b 2 5
5 b 3 4
Or:
df = df.droplevel(0).reset_index()
·
Santiago Trujillo
Relatório
0
You can change the existing name so that it would not be duplicated anymore:
df.reset_index(name="new_name")
Hope this help
·
Santiago Trujillo
Relatório
Responde à pergunta