Write a function that loops through the columns in the dataframe and applies try .astype('float64') to them. If a string value is encountered, it will be replaced by NaN.

def convert_float(df, cols):
    for col in cols:
        try:
            df[col] = df[col].astype('float64')
        except ValueError:
            df[col] = np.nan
    return df