Unable to parse string at a seemingly random position

I scraped a website in order to convert chart data to a dataframe format.

As such, all of the values of the graph are in the form of a String, which I am trying to convert to int form so it can be plotted.

The generated dataframe:

Since the values under Prime and Subprime headers are strings, I wrote the following to first get rid of the percentage symbol so I could subsequently convert the string to an int:

masked = df
masked.Prime = masked.Prime.str[:-1]
masked.Subprime = masked.Subprime.str[:-1]

This actually worked for the first dataset. But for the second one, I got the following error:

ValueError: Unable to parse string "0.30%" at position 322

What’s wrong here? I converted the half-parsed dataframe to Excel and it was successful up until that random position.

I’ve looked across this site for possible solutions, but I couldn’t find anything that pertained to this issue.

>Solution :

I’d try:

for col in ('Prime', 'Subprime'):
    df[col] = pd.to_numeric(df[col].str.strip().str.strip('%'))

Strip whitespace, then strip % values.