Adding a column with no header to a dataframe
Question:
How can I add an empty column to my dataframe without introducing a header to it?
I am using pandas to work on a dataframe where I need to add an empty column without any header. I know that by using
df["New_Column_Name"] = ""
(where df is my dataframe) would add an empty column to the df. But, in my case I don’t want that "New_Column_Name" there.
Thanks.
Answers:
data = {'Name': ['Rob', 'Bob', 'Tob'],
'Age': [20, 21, 19]}
df = pd.DataFrame(data)
df[''] = ''
print(df.columns)
output:
Index(['Name', 'Age', ''], dtype='object')
I strongly suggest you create some dummy name for column header. Creating a dataframe without headers is not a good option for manipulating afterward
How can I add an empty column to my dataframe without introducing a header to it?
I am using pandas to work on a dataframe where I need to add an empty column without any header. I know that by using
df["New_Column_Name"] = ""
(where df is my dataframe) would add an empty column to the df. But, in my case I don’t want that "New_Column_Name" there.
Thanks.
data = {'Name': ['Rob', 'Bob', 'Tob'],
'Age': [20, 21, 19]}
df = pd.DataFrame(data)
df[''] = ''
print(df.columns)
output:
Index(['Name', 'Age', ''], dtype='object')
I strongly suggest you create some dummy name for column header. Creating a dataframe without headers is not a good option for manipulating afterward