From a21d2dc590a80e3879a75e7a301d6faf49dc7e3d Mon Sep 17 00:00:00 2001 From: gauthiier Date: Fri, 20 Jan 2017 16:01:53 +0100 Subject: [PATCH] typos and junk debug --- docs/index.html | 2 +- nettime/report.py | 2 -- 2 files changed, 1 insertion(+), 3 deletions(-) diff --git a/docs/index.html b/docs/index.html index 07945bc..5566876 100644 --- a/docs/index.html +++ b/docs/index.html @@ -3719,7 +3719,7 @@ patrice{at}xs4all.nl
  • Dialogical clusters may be extracted and analysed to foreground the possible various 'cliques' that may, by habit, form depending on the subject at hand. Coupling this type of analysis with the previous discourse analysis could potentially produce an interesting index of the list.

  • Nettime Surveyors

    -

    David Gauthier and Marc Tuters. Special thanks to Geert Lovink for is insights.

    +

    David Gauthier and Marc Tuters. Special thanks to Geert Lovink for his insights.

    diff --git a/nettime/report.py b/nettime/report.py index 0bc1578..5a6214b 100644 --- a/nettime/report.py +++ b/nettime/report.py @@ -129,8 +129,6 @@ class Report: def tab_msgs_threads_replies(self): self.matrix_msgs_threads() - a = self.matrix[['nbr-messages', 'nbr-threads', 'nbr-replies']].astype(int) - print a return format.Tab.from_dataframe(self.matrix[['nbr-messages', 'nbr-threads', 'nbr-replies']].astype(int), name_map={'nbr-messages': 'messages', 'nbr-threads': 'threads', 'nbr-replies': 'replies in threads'})