How to add multiple new columns in pandas data frame without assigning their names manually?

Question

I have a list of strings which I want them to be the names of the new columns I want to add to the data frame.

enter code here
  for i in len(range(col_name_lis)):
        name = col_name_lis[i]
        merged_df.insert(col_len, name , "")

but this gives me this error: 'list' object cannot be interpreted as an integer

Answer 1

You need to switch the order of len(range(...)) to range(len(...)):

col_name_list = ["column 1", "column 2", "column 3"]
df = pd.DataFrame()
for i in range(len(col_name_list)):
    name = col_name_list[i]
    df[name] = ""

Better yet, use a shorthand for list iteration:

col_name_list = ["column 1", "column 2", "column 3"]
for name in col_name_list:
    df[name] = ""