data.table

Compute share of resources used by node i w.r.t. neighbors on a large network

Compute share of resources used by node i w.r.t. neighbors on a large network Question: Purpose The main purpose is to be able to compute the share of resources used by node i in relation to its neighbors: r_i / sum_j^i{r_j} where r_i are node i resources and sum_j^i{r_j} is the sum of i’s neighbors’ …

Total answers: 1

Pandas dropping na within conditions

Pandas dropping na within conditions Question: if i have the following input participant trials Correct_Choice Opt_in 1 1 NaN 1 1 1 1 NAN 2 1 NaN 1 2 1 0 NaN My desired output is participant trials Correct_Choice Opt_in 1 1 1 1 2 1 0 1 What is the best way to do …

Total answers: 1

What is the Python equivalent to R data.table column creation?

What is the Python equivalent to R data.table column creation? Question: I’m in the process of converting my R scripts to python. Is there a similar process in creating new columns that r data.table does in the J step? Below is my example code in R: dat[,Returned_on_time:= ifelse(Contract_End_Date==Estimated_In_Date,’Yes’,’No’)] Thanks Asked By: Zachqwerty || Source Answers: …

Total answers: 2

Why were pandas merges in python faster than data.table merges in R in 2012?

Why were pandas merges in python faster than data.table merges in R in 2012? Question: I recently came across the pandas library for python, which according to this benchmark performs very fast in-memory merges. It’s even faster than the data.table package in R (my language of choice for analysis). Why is pandas so much faster …

Total answers: 4