StackOverflow2013

Note that there are some explanatory texts on larger screens.

plurals

PO
primarykey
Id
11126099
data
AcceptedAnswerId
0
AnswerCount
0
ClosedDate
CommentCount
0
CommunityOwnedDate
CreationDate
2012-06-20T18:43:09.563
FavoriteCount
0
LastActivityDate
2012-06-20T18:51:17.890
LastEditDate
2012-06-20T18:51:17.890
LastEditorUserId
722121
OwnerUserId
722121
ParentId
11126012
PostTypeId
2
Score
5
ViewCount
0
LastEditorDisplayName
text
Body
It's worth noting that you should try to use <a href="http://preshing.com/20110920/the-python-with-statement-by-example" rel="nofollow">the <code>with</code> statement</a> when opening files in Python. This is both more readable and removes the possibility of a file being left unclosed (even when exceptions occur). Your actual problem comes in that you are not doing what you want to do. <pre><code>reader = csv.reader(filein, skipinitialspace = True) listofxys = [] for row in reader: listofxys.append(row) </code></pre> All this does is <code>reader = list(csv.reader(filein, skipinitialspace = True))</code> in a very inefficient manner. What you want to do is use <a href="http://docs.python.org/library/functions.html#zip" rel="nofollow">the <code>zip()</code> builtin</a> to take a list of pairs and turn it into two lists. You do this with the star operator: <pre><code>import csv with open("test") as filein: reader = csv.reader(filein, skipinitialspace = True) xs, ys = zip(*reader) print(xs) print(ys) </code></pre> Which gives: <pre><code>('10', '2', '5', '7', '9', '3', '2', '6', '0', '5') ('5', '4', '6', '8', '12', '45', '4', '5', '3', '6') </code></pre> Do note the fact these values are strings. If you want to have them as numbers, you will want to use <a href="http://docs.python.org/library/csv.html#csv.QUOTE_NONNUMERIC" rel="nofollow"><code>csv.QUOTE_NONNUMERIC</code></a>, e.g: <code>reader = csv.reader(filein, quoting=csv.QUOTE_NONNUMERIC, skipinitialspace = True)</code> Which gives: <pre><code>(10.0, 2.0, 5.0, 7.0, 9.0, 3.0, 2.0, 6.0, 0.0, 5.0) (5.0, 4.0, 6.0, 8.0, 12.0, 45.0, 4.0, 5.0, 3.0, 6.0) </code></pre>
Tags
Title
singulars
PostAcceptedAnswerId
1. This table or related slice is empty.
PostParentId
1. PORead CSV and Separate by column
 singulars
 PostTypePostTypeId
 PTQuestion
PostTypePostTypeId
1. PTAnswer
UserLastEditorUserId
1. USGareth Latty
UserOwnerUserId
1. USGareth Latty
plurals
PostLinksPostIdRelatedPostId
1. This table or related slice is empty.
PostLinksRelatedPostIdPostId
1. This table or related slice is empty.
PostsAcceptedAnswerId
1. PORead CSV and Separate by column
 singulars
 PostTypePostTypeId
 PTQuestion
PostsParentIdCreationDate
1. This table or related slice is empty.
VotesPostIdCreationDate
1. VO
 singulars
 PostPostId
 PO
 UserUserId
 This table or related slice is empty.
 VoteTypeVoteTypeId
 VTUpMod
2. VO
 singulars
 PostPostId
 PO
 UserUserId
 This table or related slice is empty.
 VoteTypeVoteTypeId
 VTAcceptedByOriginator
3. VO
 singulars
 PostPostId
 PO
 UserUserId
 This table or related slice is empty.
 VoteTypeVoteTypeId
 VTUpMod
CommentsPostId
1. This table or related slice is empty.

Querying!

Guidance

A row detail

Detail views are divided into sections. All the information in the data section comes from columns in the selected row. The other sections display data from other, related rows.

Related data can be related in a to-one or a to-many fashion. Captions of data related in a to-many fashion link to a list view showing a filtered view of the table.

Try moving around until you find a non-empty to-many entry and click on the label to get to one. You can move back to the root by clicking on the database name in the header.