Problem with appending a dataframe after a loop

• Python
I am iterating over 2 variables below and after the calculation are done, i'd like to append the dataframe to add the rows after each iteration, but what is happening now is that the row is getting replaced instead of getting added.

Python:
pre = [10, 9, 8, 7, 6, 5, 4, 3, 2, 1]
post  = [0, 1, 2, 3, 4, 5]

for i in pre:
for j in post:
results = pd.DataFrame(index=None)
row = pd.DataFrame({'pre':i, 'post:j})
results = results.append(row, ignore_index=True)
how do i ensure that at every iteration a new row will be added instead of replacing the existing one? Thanks

Ibix
2020 Award
Python:
        results = pd.DataFrame(index=None)
What does that line do?

What does that line do?
it creates a new dataframe called results and i am appending this dataframe with the values from row

Ibix
2020 Award
it creates a new dataframe called results and i am appending this dataframe with the values from row
So what does it do the second time round the loop?

So what does it do the second time round the loop?
so for the first row it should add 10, 0 and when it goes through the loop again, there should be a new row in with values 10, 1 but whats happening now is the 10,0 is getting replaced with 10,1 instead of getting added.

Ibix
2020 Award
Not what I wanted to know. What does that line I quoted do the second time around the loop?

Not what I wanted to know. What does that line I quoted do the second time around the loop?
yes, i get what you mean now. it creates an empty dataframe again. didn't occur to me until now! thanks. i will move it to before the loop begins.

rbelli1 and Ibix
changed the code to below:

Python:
import pandas as pd
pre = [10, 9, 8, 7, 6, 5, 4, 3, 2, 1]
post  = [0, 1, 2, 3, 4, 5]
index = 0

results = pd.DataFrame(index=None)
for i in pre:
for j in post:
row = pd.DataFrame({'pre':i, 'post':j})
results = results.append(row, ignore_index=True)
print('The new data frame is: \n{}'.format(results))
but its giving me this error now

ValueError: If using all scalar values, you must pass an index --- at the row line.. i am not sure what index should i place in there.

changed the code to below:

Python:
import pandas as pd
pre = [10, 9, 8, 7, 6, 5, 4, 3, 2, 1]
post  = [0, 1, 2, 3, 4, 5]
index = 0

results = pd.DataFrame(index=None)
for i in pre:
for j in post:
row = pd.DataFrame({'pre':i, 'post':j}, index[0])
results = results.append(row, ignore_index=True)
print('The new data frame is: \n{}'.format(results))