I'm trying to turn a list of tables on this page into a Pandas DataFrame:
<https://intermediaries.hsbc.co.uk/products/product-finder/>

I want to select the customer type box only and select one of the elements (from first to last) and then click find product to display the table for each one before concatenating all the DataFrames into 1 DataFrame.

So far I have managed to select the first element and print the table but I can't seem to turn it into a pandas DataFrame as I get a value error: Must pass 2-d input. shape=(1, 38, 12)

This is my code:

```
def product_type_button(self):
    select = Select(self.driver.find_element_by_id('Availability'))
    try:
        select.select_by_visible_text('First time buyer')
    except NoSuchElementException:
        print('The item does not exist')
    time.sleep(5)

    self.driver.find_element_by_xpath('//button[@type="button" and (contains(text(),"Find product"))]').click()
    time.sleep(5)

def create_dataframe(self):

    data1 = pd.read_html(self.driver.page_source)
    print(data1)

    data2 = pd.DataFrame(data1)
    time.sleep(5)

    data2.to_csv('Data1.csv')

```

I would like to find a way to print the table for each element, maybe selecting by index instead? and then concatenating into one DataFrame. Any help would be appreciated.