I am converting python lists into Pandas dataframe, then write the dataframe into csv. The lists are as following:

```
name = ['james beard', 'james beard']
ids = [304589, 304589]
year = [1999, 1999]
co_authors = [['athman bouguettaya', 'boualem benatallah', 'lily hendra', 'kevin smith', 'mourad quzzani'], ['athman bouguettaya', 'boualem benatallah', 'lily hendra', 'kevin smith', 'mourad quzzani']]
title = ['world wide databaseintegrating the web corba and databases', 'world wide databaseintegrating the web corba and databases']
venue = ['international conference on management of data', 'international conference on management of data']

data = {
    'Name': name,
    'ID': ids,
    'Year': year,    
    'Co-author': co_authors,
    'Title:': title,
    'Venue:': venue,
}

df = pd.DataFrame(data, columns=['Name','ID','Year','Co-author','Title', 'Venue'])
df
df.to_csv('test.csv')

```

My questions are

(a) "Title" and "Venue" columns are shown as 'NaN' instead of their values (see below). How can I fix this?

```
Name    ID  Year    Co-author   Title   Venue
0   james beard 304589  1999    [athman bouguettaya, boualem benatallah, lily ...   NaN NaN
1   james beard 304589  1999    [athman bouguettaya, boualem benatallah, lily ...   NaN NaN

```

(b) In CSV (see below), how to add "Index" to the header and remove brackets in "Co-author"? 

```
,Name,ID,Year,Co-author,Title,Venue
0,james beard,304589,1999,"['athman bouguettaya', 'boualem benatallah', 'lily hendra', 'kevin smith', 'mourad quzzani']",,
1,james beard,304589,1999,"['athman bouguettaya', 'boualem benatallah', 'lily hendra', 'kevin smith', 'mourad quzzani']",,

```