Kiwi | For embedding your GitHub Wiki locally , i.e in ASP.Net MVC | Model View Controller library

by danielwertheim C# Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | Kiwi Summary

Kiwi is a C# library typically used in Architecture, Model View Controller applications. Kiwi has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

For embedding your GitHub Wiki locally, i.e in ASP.Net MVC

Support

Quality

Security

License

Reuse

Support

Kiwi has a low active ecosystem.

It has 46 star(s) with 16 fork(s). There are 5 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of Kiwi is current.

Quality

Kiwi has 0 bugs and 0 code smells.

Security

Kiwi has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

Kiwi code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Kiwi does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

Kiwi releases are not available. You will need to build from source code and install.

Kiwi saves you 16950 person hours of effort in developing the same functionality from scratch.

It has 33659 lines of code, 0 functions and 32 files.

It has low code complexity. Code complexity directly impacts maintainability of the code.

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Kiwi Key Features

No Key Features are available at this moment for Kiwi.

Kiwi Examples and Code Snippets

No Code Snippets are available at this moment for Kiwi.

Community Discussions

Trending Discussions on Kiwi

Make this javascript random word generator work on many divs within the same document, from the same single array, onclick event

Group dataframe rows by creating a unique ID column based on the amount of time passed between entries and variable values

Counting the votes of items listed in an array_ python

Pandas comparing rows with a condition

Remove rows based on a Pandas groupby() result

Filtering a pandas data frame which has 2 level of column headers

Using target.event how to close the dropdown when clicked outside in Vuejs?

Pandas-way to separate a DataFrame based on previouse groupby() explorations without loosing the not-grouped columns

Replacing nested loops over a dataframe with faster/more efficient alternatives

Kusto logstash update syslogs in real time

QUESTION

Make this javascript random word generator work on many divs within the same document, from the same single array, onclick event

Asked 2021-Jun-13 at 22:13

This is not a Duplicate question, I spent 3 days searching here and there is no other question similar to mine!

This javascript generates random words only when called from one single div, or the first one when trying different DOM Methods to get Elements.

I've tried several options and combinations with getElementsBy ID, Tag, Name, Class, and CSS Selector.

However after several days searching and testing, I can't make it work in more than one div.

I need to use the same array as the only source for all my 36 divs, to generate random words from an onClick event on each of them.

I'm open to edit it, or completely change it.

This is what I have currently working for the first div using getElementsByClassName which I suppose should be the correct way as I need to call this script from several elements, not just one:

...

ANSWER

Answered 2021-Jun-13 at 21:11

You can create a loop to add the click handler to all fruits

Source https://stackoverflow.com/questions/67962647

QUESTION

Group dataframe rows by creating a unique ID column based on the amount of time passed between entries and variable values

Asked 2021-Jun-10 at 16:18

I'm trying to group the rows of my dataframe into "courses" when the same variables appear at regular date intervals. When there is a gap in time frequency or when one of variables change I would like to give it a new course ID.

To give an example, my data looks something like this:

...

ANSWER

Answered 2021-Jun-10 at 16:18

Here's a dplyr approach that calculates the gap and rolling avg gap within each Name/Item group, then flags large gaps, and assigns a new group for each large gap or change in Name or Item.

Source https://stackoverflow.com/questions/67922878

QUESTION

Counting the votes of items listed in an array_ python

Asked 2021-Jun-10 at 12:55

There is a party and each and every person must write the fruit they want and by doing this they are also voting. After that the fruits should be printed and the number of votes(the number of times it appeared).

Sample input

Enter the names of parties (terminated by DONE):

apples

oranges

pears

bananas

kiwis

oranges

apples

oranges

DONE

Sample output

Vote counts:

apples - 2

bananas - 2

kiwis - 1

oranges - 5

pears - 1

...

ANSWER

Answered 2021-Jun-10 at 12:55

You couldn't import Counter because you wrote "counter", with a lowercase "C".

in your code, with this line

Source https://stackoverflow.com/questions/67730542

QUESTION

Pandas comparing rows with a condition

Asked 2021-Jun-08 at 12:42

Let's say we have a example dataframe like below,

...

ANSWER

Answered 2021-Jun-08 at 12:42

Use DataFrameGroupBy.shift for shift per groups:

Source https://stackoverflow.com/questions/67887131

QUESTION

Remove rows based on a Pandas groupby() result

Asked 2021-Jun-08 at 10:55

I want to remove a subset of rows from a Pandas DataFrame based on a groupby() inspection.

The primary DataFrame:

...

ANSWER

Answered 2021-Jun-08 at 10:47

Not sure if this is an elegant solution. Based on this tutorial.

Booth DataFrame need to have the same index.

Source https://stackoverflow.com/questions/67885541

QUESTION

Filtering a pandas data frame which has 2 level of column headers

Asked 2021-Jun-03 at 23:01

I am trying to filter a pandas data frame which has 2 levels of columns header using a list in the fairly standard way of using isin and a mask to retun a new filtered dataframe. However I keep running into a value error around overlapping index names which I can't seem to solve.

Here are examples, of my list I'd like to filter on, as well as the dataframe itself. Not sure how to provide the code needed to generate this dataframe as it is imported from an csv file.

...

ANSWER

Answered 2021-Jun-03 at 21:52

Take a look at what df['CODE'].isin(my_list) produces:

Source https://stackoverflow.com/questions/67829048

QUESTION

Using target.event how to close the dropdown when clicked outside in Vuejs?

Asked 2021-Jun-02 at 17:42

...

ANSWER

Answered 2021-Jun-02 at 17:42

I found out a solution to your problem. Follow below steps At first Add box class to every element that lies inside the box that toggle the dropdown

Source https://stackoverflow.com/questions/67809336

QUESTION

Pandas-way to separate a DataFrame based on previouse groupby() explorations without loosing the not-grouped columns

Asked 2021-Jun-02 at 13:05

I tried to translate the problem with my real data to example data presented in my question. Maybe I just have a simple technical problem. Or maybe my whole way and workflow is not the best?

The objectiv

There are persons (column name) who have eaten different fruit's at different day's. And there is some more data (column foo and bar) I do not want to lose.

I want to separate/split the original data, without loosing the additational data (in foo and bar). The condition to separate is the number of unique fruits eaten at the specific days.

That is the initial data

...

ANSWER

Answered 2021-Jun-02 at 13:05

Use DataFrameGroupBy.nunique in GroupBy.transform, so possible filter original DataFrame:

Source https://stackoverflow.com/questions/67805487

QUESTION

Replacing nested loops over a dataframe with faster/more efficient alternatives

Asked 2021-Jun-02 at 07:46

I want to eliminate the nested loop in my code and I can't seem to figure out the best way to do it. I have explained what I am trying to do below:

I have a dataframe df.

...

ANSWER

Answered 2021-Jun-02 at 07:20

my approach would be using .explode() method and pandas.merge() function.

Source https://stackoverflow.com/questions/67800146

QUESTION

Kusto logstash update syslogs in real time

Asked 2021-Jun-01 at 17:56

I hope everyone is doing great.

I do have a question about azure data explorer and logstash.

I followed this Microsoft tutorial to configure a azure data explorer with Kusto and logstash.

https://docs.microsoft.com/en-us/azure/data-explorer/ingest-data-logstash

I created a azure data explorer, created a table for the data. on the other side I pinned up a virtual machine, installed logstash and configured all the minimum required to forward syslogs to azure data explorer.

Everything works just fine and I don't have any problem, but there is one step that is bugging me a bit and would like some clarifications.

I wanted to test this project with real time syslogs coming from my virtual machine.

so I configured conf file for logstash as follow:

...

ANSWER

Answered 2021-Jun-01 at 17:56

For the 10 minutes it takes to show up in Kusto, this is likely due to the ingestionbatching policy on the table where the default batching period is five minutes. If you want the data to show up faster you can set the MaximumBatchingTimeSpan to less than this, where 10 seconds is the minimum, please note that having too small of a batching window may have an adverse impact on the cluster performance.

I am not sure how the Azure function relates to the scenario can you please clarify?

Source https://stackoverflow.com/questions/67791477

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install Kiwi

You can download it from GitHub.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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