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mikedewar
d3py
Python2012–2013
mikedewar / d3py

d3py

a plottling library for python, based on D3

6Distinct people
6Mentions
0Explicit recommenders
1.4KGitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

a plottling library for python, based on D3

GitHub

Where it is used

No documented product use has been verified yet.

What people are saying

No recommendation phrase was found in the indexed comments.

No classified warning is attached to this page. Read the discussions before treating silence as approval.

Also in these discussions

No other repository is repeatedly linked in the same discussions.

This week on Hacker News

Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 3:56:07 PM UTC.

No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.

Mentions over time

HN mentions by month6 dated mentions

Observed mentions: 2012-02-11 00:34:09 UTC to 2013-03-28 16:34:06 UTC.

012012-02-01 00:00:00 UTC to 2012-03-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsFeb 20122012-03-01 00:00:00 UTC to 2012-04-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2012-04-01 00:00:00 UTC to 2012-05-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2012-05-01 00:00:00 UTC to 2012-06-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2012-06-01 00:00:00 UTC to 2012-07-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2012-07-01 00:00:00 UTC to 2012-08-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2012-08-01 00:00:00 UTC to 2012-09-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsAug 20122012-09-01 00:00:00 UTC to 2012-10-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2012-10-01 00:00:00 UTC to 2012-11-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2012-11-01 00:00:00 UTC to 2012-12-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2012-12-01 00:00:00 UTC to 2013-01-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 comments2013-01-01 00:00:00 UTC to 2013-02-01 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 comments2013-02-01 00:00:00 UTC to 2013-03-01 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2013-03-01 00:00:00 UTC to 2013-04-01 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsMar 2013

Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.

View mention counts and date ranges
UTC ranges include their start and exclude their end. Select a period to filter the source evidence.
PeriodStart (UTC)End (exclusive, UTC)MentionsSubmissionsComments
Feb 20122012-02-01 00:00:00 UTC2012-03-01 00:00:00 UTC101
Mar 20122012-03-01 00:00:00 UTC2012-04-01 00:00:00 UTC000
Apr 20122012-04-01 00:00:00 UTC2012-05-01 00:00:00 UTC000
May 20122012-05-01 00:00:00 UTC2012-06-01 00:00:00 UTC000
Jun 20122012-06-01 00:00:00 UTC2012-07-01 00:00:00 UTC000
Jul 20122012-07-01 00:00:00 UTC2012-08-01 00:00:00 UTC000
Aug 20122012-08-01 00:00:00 UTC2012-09-01 00:00:00 UTC101
Sep 20122012-09-01 00:00:00 UTC2012-10-01 00:00:00 UTC000
Oct 20122012-10-01 00:00:00 UTC2012-11-01 00:00:00 UTC000
Nov 20122012-11-01 00:00:00 UTC2012-12-01 00:00:00 UTC101
Dec 20122012-12-01 00:00:00 UTC2013-01-01 00:00:00 UTC101
Jan 20132013-01-01 00:00:00 UTC2013-02-01 00:00:00 UTC110
Feb 20132013-02-01 00:00:00 UTC2013-03-01 00:00:00 UTC000
Mar 20132013-03-01 00:00:00 UTC2013-04-01 00:00:00 UTC101

What Hacker News says

6 sources
Very interested in d3 integration. Some people (http://github.com/mikedewar/D3py) have already started working in that direction. The IPython HTML notebook makes JavaScript visualization combined with pandas a very attractive option going forward, especially if you can come up with a way to have an interactive plot with backend computations being handled by pandas. pandas currently does not emit JSON; I would live to adapt UltraJSON or another library to turn DataFrame objects into JSON very fast and efficiently.
In Pandas 0.7.0 released: Python data analysis library

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