When loading Org tables into Pandas data frames, the `colnames' does exactly what it should not,
in that "yes" means "no" and vice versa: =colnames= set to =yes=: #+HEADER: :colnames yes #+HEADER: :session *Python* #+HEADER: :var INPUT = 20a0ea41-3669-482c-989e-d28486d5d400 #+BEGIN_SRC python import pandas as pd pd.DataFrame(INPUT) #+END_SRC #+RESULTS: : 0 1 : 0 10 20 : 1 30 40 =colnames= set to =no=: #+HEADER: :colnames no #+HEADER: :session *Python* #+HEADER: :var INPUT = 20a0ea41-3669-482c-989e-d28486d5d400 #+BEGIN_SRC python import pandas as pd pd.DataFrame(INPUT) #+END_SRC #+RESULTS: : 0 1 : 0 A B : 1 10 20 : 2 30 40 Confirmed on Stack Overflow (Sep 1, 2023): https://stackoverflow.com/a/67091398/1306956 Rudy -- "I love deadlines. I love the whooshing noise they make as they go by." --- Douglas Adams, The Salmon of Doubt, 2002 Rudolf Adamkovič <rud...@adamkovic.org> [he/him] http://adamkovic.org
