How do I update a column in a csv file in Python?

How to rename csv header pandas?

I have csv with names of columns in the first row.

I would like to rename all columns in this csv. For example:

Name age name age name age. Should be renamed to: name age name age name age. You can use parameter header=None in readcsv: import pandas as pd. Import numpy as np. Df = pd.DataFrame(np.random.739897 0.6975 0.8968 0.914 0.85949 0.827
1 0.783736 0.5265 0.6997 0.611 0.6917 0.7816
2 0.835145 0.8786 0.7553 0.9994 0.5048 0.6452
3 0.332624 0.4243 0.2896 0.8204 0.9798 0.7111
4 0.666856 0.5874 0.4149 0.3062 0.4718 0.6538
5 0.814803 0.8572 0.0453 0.8656 0.7554 0.9087

Print (df.head(1)) 0 0.6975

How do you rename a column in Python?

When I was using a database that didn't allow me to have spaces or special characters, I would add "AS XXX" to the table and then change that name from inside of the editor.

Is there an easy way to do this in Python? Here is what I have now: data.renameColumn("name", "First Name") This worked perfectly fine until I ran into a column with a space in it. Is there another way? If you know, there is probably a way to work around this. I want to be able to use spaces in my columns. Is there a function that would allow for this?
The reason why I am doing this is because I am trying to import data from two different files and the columns are all out of order in both of them and have spaces in them. So, I am trying to make sure I know how to put them in order no matter what the name of the column is in each of the databases. Thanks.

Renaming a column in sqlite3 doesn't involve any Python. A "column" (named table.columnname) can just be renamed (to a quoted identifier) in the SQL statement: UPDATE table SET columnname = newname;. You can do that for a table in a csv file.