pets | Pets as a Service -

I have a dataframe that looks like this:

df=pd.read_csv('https://raw.githubusercontent.com/amanaroratc/hello-world/master/ask_git.csv')

BLUF: For a specific epsilon (or for HDBSCAN's 'favorite' epsilon), I can extract the mapping of my data in that epsilon's partition. But how can I see my data's full tree membership?

I've gotten a ton out of the terrific tutorial here. In scikit learn's HDBSCAN, I can use clusterer.labels to see the best epsilon's partition labels. And I can use clusterer.single_linkage_tree_.get_clusters(0.023, min_cluster_size=2) to see the an arbitrary epsilon's partition labels. I can even plot the entire dendogram using clusterer.condensed_tree_.plot(). But how do I see the dendogram's labels for individual datapoints?

For Example: It's nice that my pets' names are {Spot, Felix, Nemo, Fido, Tigger}. Or the species are {Dog, Cat, Guppy, Dog, Cat}. But I'd like one output that tells me:

With this sort of output, I could see precisely how related Spot and Felix are, instead of "Do they have the same species? Y/N?" "Do they have the same kingdom? Y/N?"

I have a vector of words, like the below. This is an oversimplification, my real vector is over 600 words:

I have multiple cards listed in a gridView which is fetched from the model. I want to change the background color of a particular card upon selection of the card. That is, when I touch the card, I want the color of that one card to change, and if I select another card, I want the first card color to go back to its original one and want the second card's color to change. I have tried various methods but cannot do it.

Grid view:

I want to pull all the values from a particular column in another table. My goal is to take a handful of different tables and put particular columns from each of them into a single, collated table.

For example, let's say I have tables about different kinds of objects

C# 8.0 introduced the structs System.Index and System.Range

What is the most concise way to loop through a System.Range?

So my task is to clean up the data in a giant table, and create a linear regression model with the data. I noticed a problem that one of the columns store a bunch of tags in a string. The following snippet is two elements in that column.

I'm translating a very old and big Java server to Kotlin, and I'm trying to make as few logic changes as possible during the conversion. I'm looking for a way to translate this snippet of Java code without fundamentally changing it.

Consider the following toy code:

This is a followup question from this earlier thread

I have output that comes from a sequence() function. I want to run a calculation that sums up the output from the sequence() function. In particular, I want it to be structured so that my calculation will be right, even if the underlying data gets additional rows. I'll describe this in more detail with example data.

Say my output from the sequence() function looks like this