Hello, I have the following two-dimensional dense axis array results extracted from a constraint. [shadow prices] Rows represent time stamps [T] and columns represent nodes [N]. Is there a way of converting the DenseAxisArray into a dataframe with the same dimensions? Thanks

There’s no special support. You’d have to construct the dataframe manually. Potentially something like this: t_list = [t for t in T for _ in N] n_list = [n for _ in T for n in N] x_list = [nodal_pr[t, n] for (t, n) in zip(t_list, n_list)] DataFrame(t = t_list, n = n_list, shadow_price = x_list)

Converting Dense Axis array results into dataframe

Specific Domains Optimization (Mathematical)

pdeffebach July 5, 2022, 4:06pm 2

Can you provide an MWE? See some advice on asking a question here

2 Likes

Topic		Replies	Views
Extracting JuMP results Optimization (Mathematical) jump , error , optimization , dataframes	6	1986	December 10, 2020
Convert a dataframe to a 2d array New to Julia	5	1278	December 14, 2018
Cant create dataframe Optimization (Mathematical) jump , dataframes	16	743	September 29, 2020
From DataFrame to multidimensional Array Data array , dataframes	9	2749	June 21, 2021
help converting JuMPArray to regular array Optimization (Mathematical)	2	1669	March 19, 2019

Converting Dense Axis array results into dataframe

Related topics