I have a simple DataFrame like the following:
I want to select all values from the ‘First Season’ column and replace those that are over 1990 by 1. In this example, only Baltimore Ravens would have the 1996 replaced by 1 (keeping the rest of the data intact).
I have used the following:
df.loc[(df['First Season'] > 1990)] = 1
But, it replaces all the values in that row by 1, and not just the values in the ‘First Season’ column.
How can I replace just the values from that column?
