Split a column of values delimited by a space into separate . . . You can split the integers on col2 using str split You can either manually assign the resulting columns or use range as follows I used the example with range as you mentioned in the comment that you are looking at 99ish columns in all cols = np arange(df col2 str split(expand = True) shape[1]) df[cols] = df col2 str split(expand = True) You get
5 Best Ways to Split Pandas DataFrame Column Values Method 1: Using str split() and expand=True Strengths: Straightforward and concise for simple splits Weaknesses: Limited to simple delimiter-based splitting Method 2: Using str split() without expand Strengths: Keeps data within one column, useful for lists Weaknesses: Does not expand to multiple columns Method 3: Using apply() with a
How to Split Pandas Dataframe Column Values in Python In this article, we explored how to split Pandas dataframe column values in Python We learned how to split a column into two columns using a single separator and how to split a column into multiple columns using multiple separators
Python: Split a Pandas Dataframe • datagy In this post, you’ll learn how to split a Pandas dataframe in different ways You’ll learn how to split a Pandas dataframe by column value, how to split a Pandas dataframe by position, and how to split a Pandas dataframe by random values