Comming from R/dplyr, I’m used to the piping concept to chain transformation steps during data analysis and have taken this to pandas in a sometimes similar, sometimes better but also sometimes worse fashion (see this article for reference). This is an example of a worse situation. I’m conducting an analysis of some objects and want to understand the behavior by
how to clip pandas for a multiple column in a data frame
Here is the df: each column in the dataframe has a lower and an upper limit as mentioned in the below list eg: But this returns every element as nan whereas the expected result is to clip each column based on the upper limit and lower limit mentioned in the list… Using for loop, I was able to make the
Create / Load json files (json.decoder.JSONDecodeError: Extra data:)
Expecting I am expecting to create/add new record and load json files using python. Json Result I m not sure if JSON is well formatted. Maybe should it be any error when creating this file? What is the best and correct thing to do on this case? i expect return and print that values on terminal on this project that’s
it’s possible to obtain the lagrange multipliers from an optimal solution in Pyomo?
I’d like to know how it’s possible to obtain the lagrange multipliers from an optimal solution in a Concrete model solved with glpk? Thanks! Answer This works for me in gurobi, try it out and tell me if it works with glpk. You need to prompt getting the Lagrange multipliers / dual variable in pyomo by putting the following line
Numerical Python: Solving a BVP with a boolean condition?
I am not sure about the best way to ask this question, but I am trying to find the long-term state of an ODE system with an arbitrary extra constraint that needs to be fulfilled. Ex: In the code above, f is the right-hand-side of my ODE model. N is the dimension of my state vector X, t_range is the
How can I run a Python project on another computer without installing anything on it?
I have a Python Project that has a bunch of dependencies (in my VirtualEnv). I need to run my project in my school computer for Demonstration. My School computer does not have python installed, and lets assume also wont have an Internet connection to install it. I have written the program in Windows 10, and the school computer runs Windows
how to print something in the terminal for limited rime
I want to print random number in the terminal for just a few second but I can’t delete it after its display in terminal. is there any way to hide number after it show in terminal? Answer You can go back to the beginning of the line with r and flush=True, then overwrite the content of the line. For more
Trouble implementing “concurrent” softmax function from paper (PyTorch)
I am trying to implement the so called ‘concurrent’ softmax function given in the paper “Large-Scale Object Detection in the Wild from Imbalanced Multi-Labels”. Below is the definition of the concurrent softmax: NOTE: I have left the (1-rij) term out for the time being because I don’t think it applies to my problem given that my training dataset has a
Creating a nested dictionary from a pandas dataframe
I have a dataframe which demonstrates a hierarchy of meters. A meter has an ID, and can have any number of children, this children can also have children, which can also have children, ad infinitum. The dataframe has a meter per row, and the level of the child is shown by column. As shown below: The aim is to convert
How to find the regression line for multiple independent variables?
I’m trying to understand how the Multiple Line Regression works in code for machine learning. The issue I’m having is that I don’t get how to set up my regression line properly or if my coefficients are correct. So I guess I can divide my thoughts into three questions. Is my method of finding the coefficients for the regression line