How to map each value in data frame to 0 or 1

The only thing I can see wrong with the code you have is that item is a string and you must first convert it to a numeric type. As the error message says

Quote:

'<=' not supported between instances of 'str' and 'float'

then I suggest you convert it to a float, although interestingly there is no <= in the code you shared, so that cannot be the error message you received.

You could try something like this

for item in dataframe:
if float(item) > 100:
...

or you could convert the entire column of the dataframe to be float (or integer) - probably the best option if you want to reset the values to a numeric - see Pandas Convert Column to Float in DataFrame - Spark by {Examples}[^]

I have just seen the following comment in the documentation for pandas Dataframe

Quote:

You should never modify something you are iterating over. This is not guaranteed to work in all cases. Depending on the data types, the iterator returns a copy and not a view, and writing to it will have no effect.

You are going to have to find an alternative way to achieve whatever it is you are trying to do - perhaps at the point of populating the datafram