What is the best way to append data using matching column names from two different data frames with differing dimensions? Scenario: Df1 = 350(rows)x2778(columns) Df2 = 321×2910 Df1 has <2778 columns with the exact same name as <2910 columns in Df2. -It could be 500 columns in each data frame as an example that have equivalent names What I want

# Tag: r

## Grouping of a dataframe monthly after calculating the highest daily values

I’ve got a dataframe with two columns one is datetime dataframe consisting of dates, and another one consists of quantity. It looks like something like this, I want to make another dataframe. It should consist of two columns one is Month/Year and the other is Till Highest. I basically want to calculate the highest quantity value until that month and

## New column based on values from other columns AND respecting pre-established rules

I’m looking for an algorithm to create a new column based on values from other columns AND respecting pre-established rules. Here’s an example: artificial data The goal is to create a new_column based on the values of col_1, col_2, and col_3. For that, the rules are: If the value ‘Yes’ is present in any of the columns, the value of

## How to sample data points for two variables that has highest (close to +1) or lowest (close to zero) correlation coefficient?

Let’s assume that we have N (N=212 in this case) number of datapoints for both variables A and B. I have to sample n (n=50 in this case) number of data points for A and B such that A and B should have the highest possible positive correlation coefficient or lowest correlation coefficient (close to zero) for that sample set.

## Substitute the variables of a polynomial with caracas (Sympy)

I have a long polynomial in four variables x, y, z, w: I’m working with R. I want to use the caracas package (a wrapper of Sympy) to get this expression as a polynomial after doing a change of variables. Namely, I want to substitue x, y, z and w by respectively. I tried subs with no luck. Here is

## Unable to determine R library path

I am new to R. I am running Jupyter Lab on a Windows 11 machine, and have created a virtual environment where I installed some packages and irkernel. I get the following message when I execute %load_ext rpy2.ipython: Here is my complete code: Apart from the environment variables, the above code comes from David Mertz book “Cleaning Data for Effective

## Calling an R package function with rpy2

I’m new to R and need to pass string data from a pandas dataframe to a function in R. This function accepts nested lists of strings, such as: The code I tried two approaches: 1) That yielded KeyError: <class ‘list’> error message. 2) That yielded the error message: I checked if d is a list or not: I’d be grateful

## R not attached in VS Code on Win10

I am recently switching from RStudio to VS Code. I have installed R extension in VS Code, but when I open VS Code and R terminal, R cannot be loaded. I followed coip’s method but still cannot get R loaded: ############################################################################## I followed coip’s suggstion and R is successfully activated. In another of my laptop (Win), R could be activated

## python in Rmarkdown using reticulate cannot read packages

I am using R on a MacBook. I have an Rmarkdown document and I’m trying to use reticulate in order to use python within R. First I download the libraries: Next I look at an R chunk and figure out my working directory. Then I write mtcars to my desktop. Then I try to use python instead to read in

## np.linalg.multi_dot for R

I’m trying to do a nested dot result is effectively x.dot(M.dot(M)): In python this loop can be reduced by: Is there something similar for R? Answer As @akrun commented, you could also use Reduce: