rubick | 基于 electron 的开源工具箱,自由集成丰富插件。 | Runtime Evironment library
kandi X-RAY | rubick Summary
kandi X-RAY | rubick Summary
基于 electron 的开源工具箱,自由集成丰富插件,打造极致的桌面端效能工具。Rubick(拉比克) 是 dota 里面的英雄之一,其核心技能是插件化使用其他英雄的技能,用完即走。非常符合本工具的设计理念,所以取名 Rubick。.
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QUESTION
ANSWER
Answered 2021-Apr-09 at 15:43I tried to make this solution as generic as possible while also fulfilling the specific case presented. This will only work for the second case, as without th
elements or specific classes only on header elements, it cannot be determined whether the headers are vertical or horizontal programmatically.
QUESTION
I'am currently working on a school project where I'am to develop a DotA 2 web application, where I have created a HTML table that is supposed to show a specific Hero from DotA 2 statistics against other Heroes. There are 118 heroes total, so the table will have 117 rows. This matchup table also has four columns:
- Hero (name of the hero)
- Games played
- Win rate
- Advantage
For visual reference, the image below is close to the same layout I strive for: (credit to opendota.com).
Like the image above, I would also like to have a small image avatar along with the name of the Hero in each row, in the HERO column, like for example "Void Spirit", "Rubick" and "Clockwerk".
Since I dont want to manually autofill in 118 rows in my HTML code, I tried to develop a JavaScript file that would do this for me, which can be seen below:
...ANSWER
Answered 2020-Dec-12 at 22:30I think the problem is that you are trying to insert HTML as a Text Content
Try to replace this line
QUESTION
Hi I want to insert my sqlite data into excell using python. I know how to import row values but I don't know how to import table column names. I need output like in the first row of excell: table column names, in the second row: column values and etc.
...ANSWER
Answered 2020-Jun-27 at 11:06Here is a simple solution using pandas library.
QUESTION
I can do a pivot similar to the structure below, but i cant manage with Mongo.
Let'assume that we have a collection like this:
...ANSWER
Answered 2018-Apr-15 at 20:12While the below is probably one of the most horrific aggregation pipelines I have ever written (and almost certainly can be optimized by some smarter people like @veeram) it gets the job done for your very example from what I can tell...
QUESTION
I have two DataFrames that looks like this:
...ANSWER
Answered 2018-Feb-09 at 15:15You need unstack here , more info look at here
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