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paultopia
plottyprint
Python2019–2019
paultopia / plottyprint

plottyprint

micro-library to produce a couple of basic, attractive, printable plots with matplotlib

2Distinct people
2Mentions
0Explicit recommenders
10GitHub stars
REPOSITORY AT A GLANCE

What to know before exploring

What it is

micro-library to produce a couple of basic, attractive, printable plots with matplotlib

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, 11:23:53 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 week2 dated mentions

Observed mentions: 2019-08-16 15:45:40 UTC to 2019-11-16 16:38:56 UTC. Weeks start Monday, UTC.

012019-08-12 00:00:00 UTC to 2019-08-19 00:00:00 UTC (exclusive): 1 mentions; 1 submissions, 0 commentsAug 122019-08-19 00:00:00 UTC to 2019-08-26 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-08-26 00:00:00 UTC to 2019-09-02 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-09-02 00:00:00 UTC to 2019-09-09 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-09-09 00:00:00 UTC to 2019-09-16 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-09-16 00:00:00 UTC to 2019-09-23 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-09-23 00:00:00 UTC to 2019-09-30 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 commentsSep 232019-09-30 00:00:00 UTC to 2019-10-07 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-10-07 00:00:00 UTC to 2019-10-14 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-10-14 00:00:00 UTC to 2019-10-21 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-10-21 00:00:00 UTC to 2019-10-28 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-10-28 00:00:00 UTC to 2019-11-04 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-11-04 00:00:00 UTC to 2019-11-11 00:00:00 UTC (exclusive): 0 mentions; 0 submissions, 0 comments2019-11-11 00:00:00 UTC to 2019-11-18 00:00:00 UTC (exclusive): 1 mentions; 0 submissions, 1 commentsNov 11

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
Aug 122019-08-12 00:00:00 UTC2019-08-19 00:00:00 UTC110
Aug 192019-08-19 00:00:00 UTC2019-08-26 00:00:00 UTC000
Aug 262019-08-26 00:00:00 UTC2019-09-02 00:00:00 UTC000
Sep 22019-09-02 00:00:00 UTC2019-09-09 00:00:00 UTC000
Sep 92019-09-09 00:00:00 UTC2019-09-16 00:00:00 UTC000
Sep 162019-09-16 00:00:00 UTC2019-09-23 00:00:00 UTC000
Sep 232019-09-23 00:00:00 UTC2019-09-30 00:00:00 UTC000
Sep 302019-09-30 00:00:00 UTC2019-10-07 00:00:00 UTC000
Oct 72019-10-07 00:00:00 UTC2019-10-14 00:00:00 UTC000
Oct 142019-10-14 00:00:00 UTC2019-10-21 00:00:00 UTC000
Oct 212019-10-21 00:00:00 UTC2019-10-28 00:00:00 UTC000
Oct 282019-10-28 00:00:00 UTC2019-11-04 00:00:00 UTC000
Nov 42019-11-04 00:00:00 UTC2019-11-11 00:00:00 UTC000
Nov 112019-11-11 00:00:00 UTC2019-11-18 00:00:00 UTC101

What Hacker News says

1 sources
This post is great---even just explaining the difference between figure and axis, and the multiple systems (and the wise recommendation to use the OO system), and all the rest is gold---that stuff took me days of beating my head against the wall and searching through the matplotlib documentation to sort out. Honestly, for 99% of uses Seaborn is great, so long as you remember to use the latest version---for some reason, a lot of people seem to have 0.8.0 installed, and the api changed with 0.9.0. For uses beyond what Seaborn can do, I think that the best strategy is just to figure out a personal plotting language and then wrap that up into a personal library so you never have to think about that again. That's kind what I've done: I threw together a library to produce some basic figures that are suitable for printing,[1] and now I never hav
Read the rest
e to think about those figures again. [1] https://github.com/paultopia/plottyprint
In Effectively Using Matplotlib (2017)

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