StackOverflow2013

Note that there are some explanatory texts on larger screens.

plurals

PO
primarykey
Id
14124963
data
AcceptedAnswerId
0
AnswerCount
0
ClosedDate
CommentCount
0
CommunityOwnedDate
CreationDate
2013-01-02T15:52:26.043
FavoriteCount
0
LastActivityDate
2013-01-02T16:22:29.640
LastEditDate
2017-05-23T12:14:16.767
LastEditorUserId
-1
OwnerUserId
1240268
ParentId
14124710
PostTypeId
2
Score
1
ViewCount
0
LastEditorDisplayName
text
Body
To obtain the unique values in a column you can use the <a href="http://pandas.pydata.org/pandas-docs/dev/generated/pandas.Series.unique.html#pandas.Series.unique" rel="nofollow noreferrer"><code>unique</code></a> Series method, which will return a numpy array of the unique values (and it is fast!). <pre><code>df.long.unique() # returns numpy array of unique values </code></pre> You could then use <a href="http://docs.scipy.org/doc/numpy/reference/generated/numpy.append.html" rel="nofollow noreferrer"><code>numpy.append</code></a>: <pre><code>np.append(df.long.unique(), df.short.unique()) </code></pre> Note: This just appends the two unique results together and so itself is not unique! . Here's a (trivial) example: <pre><code>import pandas as pd import numpy as np df = pd.DataFrame([[1, 2], [1, 4]], columns=['long','short']) In [4]: df Out[4]: long short 0 1 2 1 1 4 In [5]: df.long.unique() Out[5]: array([1]) In [6]: df.short.unique() Out[6]: array([2, 4]) </code></pre> And then <a href="https://stackoverflow.com/a/9775378/1240268">appending the resulting two arrays</a>: <pre><code>In [7]: np.append(df.long.unique(), df.short.unique()) Out[7]: array([1, 2, 4]) </code></pre> Using @Zalazny7's <code>set</code> is significantly faster (since it runs over the array only once) and somewhat upsettingly it's even faster than <a href="http://docs.scipy.org/doc/numpy/reference/generated/numpy.unique.html" rel="nofollow noreferrer"><code>np.unique</code></a> (which sorts the resulting array!).
Tags
Title
singulars
PostAcceptedAnswerId
1. This table or related slice is empty.
PostParentId
1. POTwo Columns of a pandas dataframe - Concat in Python
 singulars
 PostTypePostTypeId
 PTQuestion
PostTypePostTypeId
1. PTAnswer
UserLastEditorUserId
1. USCommunity
UserOwnerUserId
1. USAndy Hayden
plurals
PostLinksPostIdRelatedPostId
1. This table or related slice is empty.
PostLinksRelatedPostIdPostId
1. This table or related slice is empty.
PostsAcceptedAnswerId
1. This table or related slice is empty.
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
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.