StackOverflow2013

Note that there are some explanatory texts on larger screens.

plurals

PO
primarykey
Id
17961468
data
AcceptedAnswerId
0
AnswerCount
0
ClosedDate
CommentCount
5
CommunityOwnedDate
CreationDate
2013-07-31T04:12:35.957
FavoriteCount
0
LastActivityDate
2015-12-01T13:29:00.803
LastEditDate
2015-12-01T13:29:00.803
LastEditorUserId
2626968
OwnerUserId
2626968
ParentId
17960511
PostTypeId
2
Score
22
ViewCount
0
LastEditorDisplayName
text
Body
Your answer lies in the pandas docs: <a href="http://pandas-docs.github.io/pandas-docs-travis/indexing.html?highlight=view#indexing-view-versus-copy" rel="noreferrer">returning-a-view-versus-a-copy</a>. <blockquote> Whenever an array of labels or a boolean vector are involved in the indexing operation, the result will be a copy. With single label / scalar indexing and slicing, e.g. df.ix[3:6] or df.ix[:, 'A'], a view will be returned. </blockquote> In your example, <code>bar</code> is a view of slices of <code>foo</code>. If you wanted a copy, you could have used the <code>copy</code> method. Modifying <code>bar</code> also modifies <code>foo</code>. pandas does not appear to have a copy-on-write mechanism. See my code example below to illustrate: <pre><code>In [1]: import pandas as pd ...: import numpy as np ...: foo = pd.DataFrame(np.random.random((10,5))) ...: In [2]: pd.__version__ Out[2]: '0.12.0.dev-35312e4' In [3]: np.__version__ Out[3]: '1.7.1' In [4]: # DataFrame has copy method ...: foo_copy = foo.copy() In [5]: bar = foo.iloc[3:5,1:4] In [6]: bar == foo.iloc[3:5,1:4] == foo_copy.iloc[3:5,1:4] Out[6]: 1 2 3 3 True True True 4 True True True In [7]: # Changing the view ...: bar.ix[3,1] = 5 In [8]: # View and DataFrame still equal ...: bar == foo.iloc[3:5,1:4] Out[8]: 1 2 3 3 True True True 4 True True True In [9]: # It is now different from a copy of original ...: bar == foo_copy.iloc[3:5,1:4] Out[9]: 1 2 3 3 False True True 4 True True True </code></pre>
Tags
Title
singulars
PostAcceptedAnswerId
1. This table or related slice is empty.
PostParentId
1. POPandas: Subindexing dataframes: Copies vs views
 singulars
 PostTypePostTypeId
 PTQuestion
PostTypePostTypeId
1. PTAnswer
UserLastEditorUserId
1. USdavidshinn
UserOwnerUserId
1. USdavidshinn
plurals
PostLinksPostIdRelatedPostId
1. This table or related slice is empty.
PostLinksRelatedPostIdPostId
1. This table or related slice is empty.
PostsAcceptedAnswerId
1. POPandas: Subindexing dataframes: Copies vs views
 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
 VTUpMod
3. VO
 singulars
 PostPostId
 PO
 UserUserId
 This table or related slice is empty.
 VoteTypeVoteTypeId
 VTAcceptedByOriginator
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.