Set operations as a branch of set theory which includes operations such as: Union, Intersection, Subset, Set Difference, Symmetrical Set Difference, and Set Equality.
How do you calculate the union of two dict objects in Python, where a (key, value) pair is present in the result iff key is in either dict (unless there are duplicates)?
For example, the union of {'a' : 0, 'b' : 1} and {'c' : 2} is {'a' : 0, 'b' :…
Are there any standard library calls I can use to either perform set operations on two arrays, or implement such logic myself (ideally as functionally and also efficiently as possible)?
I am intrigued by the following python expression:
d3 = dict(d1, **d2)
The task is to merge 2 dictionaries into a third one, and the above expression accomplishes the task just fine. I am interested in the ** operator and what exactly is it doing…
I have two arrays list1 and list2 which have objects with some properties; userId is the Id or unique property:
list1 = [
{ userId: 1234, userName: 'XYZ' },
{ userId: 1235, userName: 'ABC' },
{ userId: 1236, userName: 'IJKL' },
{…
Python sets have these methods:
s.union(t) s | t new set with elements from both s and t
s.update(t) s |= t return set s with elements added from t
Likewise, there's also these:
s.intersection_update(t) s &= t return set s keeping only…
I have two collections of type ICollection called c1 and c2. I'd like to find the set of items that are in c2 that are not in c1, where the heuristic for equality is the Id property on MyType.
What is the quickest way to perform this in C#…
What's the simplest way to perform a set subtraction given two arrays in C#? Apparently this is dead easy in Ruby. Basically I just want to remove the elements from array a that are in array b:
string[] a = new string[] { "one", "two", "three",…
I have a list of vectors as follows.
data <- list(v1=c("a", "b", "c"), v2=c("g", "h", "k"),
v3=c("c", "d"), v4=c("n", "a"), v5=c("h", "i"))
I am trying to achieve the following:
Check whether any of the vectors intersect with each…
I have the following tables:
work_units - self explanatory
workers - self explanatory
skills - every work unit requires a number of skills if you want to work on it. Every worker is proficient in a number of skills.
work_units_skills - join…
I came across this example and I don't understand what it means.
(SELECT drinker FROM Frequents)
EXCEPT ALL
(SELECT drinker FROM Likes);
relations: Frequents(drinker, bar), Likes(drinker, beer)
What does the ALL do in this case? How is the…
Randomly select two sets ,both set contains distinct keys (one key may belongs to multiple sets ,one set can never contain duplicate keys ).
Return a integer which represents for the number of keys belongs to both sets .
For example…
[Update 1: As Matthew Dowle noted, I'm using data.table version 1.6.7 on R-Forge, not CRAN. You won't see the same behavior with an earlier version of data.table.]
As background: I am porting some little utility functions to do set operations on…
I'm making some comparisons with UpSetR, and I'd like to save the lists of elements that fall into each intersection. Is this possible? I can't find it anywhere...
It would be pretty tedious to do it manually (many lists), and since they're…
I had seen this test question on Pluralsight:
Given these sets:
x = {'a', 'b', 'c', 'd'}
y = {'c', 'e', 'f'}
z = {'a', 'g', 'h', 'i'}
What is the value of x | y ^ z?
The expected answer is:
{'a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i'}
Combines…
Suppose we are given two 2D numpy arrays a and b with the same number of rows. Assume furthermore that we know that each row i of a and b has at most one element in common, though this element may occur multiple times. How can we find this element…