Reputation: 13
I'm trying to change to uppercase of alternate column names of a Dataframe having 6 columns.
input :
df.columns[::2].str.upper()
Output :
Index(['FIRST_NAME', 'AGE_VALUE', 'MOB_#'], dtype='object')
Now i want to apply this to Dataframe.
input : df.columns= df.columns[::2].str.upper()
ValueError: Length mismatch: Expected axis has 6 elements, new values have 3 elements
Upvotes: 1
Views: 84
Reputation: 7723
You can use rename
df
a b c d e f
0 a b c d e f
column_names = dict(zip(df.columns[::2], df.columns[::2].str.upper()))
column_names
{'a': 'A', 'c': 'C', 'e': 'E'}
df = df.rename(columns=column_names)
df
A b C d E f
0 a b c d e f
Upvotes: 0