linne | Write CSS in R - Website Get | Web Site library

by JohnCoene R Version: v0.0.2 License: Non-SPDX

X-Ray Key Features Code Snippets(2)Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | linne Summary

linne is a R library typically used in Web Site applications. linne has no bugs, it has no vulnerabilities and it has low support. However linne has a Non-SPDX License. You can download it from GitHub.

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Support

linne has a low active ecosystem.

It has 70 star(s) with 1 fork(s). There are 2 watchers for this library.

It had no major release in the last 12 months.

There are 0 open issues and 3 have been closed. On average issues are closed in 228 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of linne is v0.0.2

Quality

linne has no bugs reported.

Security

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

License

linne has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

linne releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

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linne Key Features

No Key Features are available at this moment for linne.

linne Examples and Code Snippets

Example

Lines of Code : 25

License : Non-SPDX (NOASSERTION)

Copy

library(linne)

linne <- Linne$new()

actionButton(inputId = "myButton", label = "Click me")

library(linne)

linne <- Linne$
  new()$
  rule(
    sel_input("myButton"), # inputId = "myButton"
    backgroundColor = 'red', 
    fontSize = 20,

Installation

Lines of Code : 3

License : Non-SPDX (NOASSERTION)

Copy

install.packages("linne")

# install.packages("remotes")
remotes::install_github("JohnCoene/linne")

Community Discussions

Trending Discussions on linne

AWK: filtering of the data based on TWO column information

AWK: multi-step filtering of data based on the selected column

AWK: post-processing of the data based on two columns

Split Json Data by certain string values (Python)

Creating Lists from Multiple Jsons with Missing Keys

AWK: sorting line based on the column data

JSON data to list

ret = torch._C._nn.nll_loss(input, target, weight, _Reduction.get_enum(reduction), ignore_index) throws IndexError: Target 42 is out of bounds

How can I make a select * query work in CosmosDB with a join?

count the number of unique rows from a huge csv file

QUESTION

AWK: filtering of the data based on TWO column information

Asked 2021-Apr-08 at 09:49

I am working on post-processing of multi-column CSV arranged in multi-column format:

...

ANSWER

Answered 2021-Apr-07 at 14:04

You may use this awk solution:

Source https://stackoverflow.com/questions/66987158

QUESTION

AWK: multi-step filtering of data based on the selected column

Asked 2021-Mar-27 at 09:48

I am dealing with the post-processing of multi-column CSV arranged in fixed format: the first column corresponds to the line number (ID), the second one contains its population (POP, the number of the samples fell into this ID) and the third column (dG) represent some inherent value of this ID (always negative):

...

ANSWER

Answered 2021-Mar-26 at 16:07

This 2 phase awk should work for you:

Source https://stackoverflow.com/questions/66818092

QUESTION

AWK: post-processing of the data based on two columns

Asked 2021-Mar-26 at 10:49

I am dealing with the post-procession of CSV logs arranged in the multi-column format in the following order: the first column corresponds to the line number (ID), the second one containts its population (POP, the number of the samples fell into this ID) and the third column (dG) represent some inherent value of this ID (which is always negative):

...

ANSWER

Answered 2021-Mar-26 at 10:49

Both tasks can be done in a single awk:

Source https://stackoverflow.com/questions/66814869

QUESTION

Split Json Data by certain string values (Python)

Asked 2021-Feb-19 at 07:09

I want to split incidents by "incidentType" values for python. It always have 5 of these values: period, injuryTime, goal, card and substitution.

Json File

...

ANSWER

Answered 2021-Feb-19 at 07:09

ABC = {
  "incidents": [
    {
      "text": "FT",
      "homeScore": 2,
      "awayScore": 1,
      "isLive": False,
      "time": 90,
      "addedTime": 999,
      "incidentType": "period"
    },
    {
      "length": 4,
      "time": 90,
      "addedTime": 0,
      "incidentType": "injuryTime"
    },
    {
      "homeScore": 2,
      "awayScore": 1,
      "player": {
        "name": "Mostafa Mohamed",
        "firstName": "",
        "lastName": "",
        "slug": "mostafa-mohamed",
        "shortName": "M. Mohamed",
        "position": "F",
        "userCount": 3949,
        "id": 873551
      },
      "id": 141786584,
      "time": 89,
      "isHome": True,
      "incidentClass": "penalty",
      "incidentType": "goal"
    },
    {
      "player": {
        "name": "Duško Tošić",
        "slug": "dusko-tosic",
        "shortName": "D. Tošić",
        "position": "D",
        "userCount": 215,
        "id": 14557
      },
      "playerName": "Duško Tošić",
      "reason": "Foul",
      "id": 119728583,
      "time": 85,
      "isHome": False,
      "incidentClass": "yellow",
      "incidentType": "card"
    },
    {
      "playerIn": {
        "name": "Younès Belhanda",
        "slug": "younes-belhanda",
        "shortName": "Y. Belhanda",
        "position": "M",
        "userCount": 2165,
        "id": 72999
      },
      "playerOut": {
        "name": "Martin Linnes",
        "slug": "martin-linnes",
        "shortName": "M. Linnes",
        "position": "D",
        "userCount": 339,
        "id": 109569
      },
      "id": 120059400,
      "time": 82,
      "isHome": True,
      "incidentType": "substitution"
    },
    {
      "player": {
        "name": "Kevin Varga",
        "slug": "kevin-varga",
        "shortName": "K. Varga",
        "position": "M",
        "userCount": 274,
        "id": 602730
      },
      "playerName": "Kevin Varga",
      "reason": "Foul",
      "id": 119728582,
      "time": 82,
      "isHome": False,
      "incidentClass": "yellow",
      "incidentType": "card"
    },
    {
      "playerIn": {
        "name": "DeAndre Yedlin",
        "slug": "deandre-yedlin",
        "shortName": "D. Yedlin",
        "position": "D",
        "userCount": 702,
        "id": 314040
      },
      "playerOut": {
        "name": "Muhammed Kerem Aktürkoğlu",
        "firstName": "",
        "lastName": "",
        "slug": "muhammed-kerem-akturkoglu",
        "shortName": "M. K. Aktürkoğlu",
        "position": "F",
        "userCount": 281,
        "id": 903324
      },
      "id": 120059399,
      "time": 77,
      "isHome": True,
      "incidentType": "substitution"
    },
    {
      "playerIn": {
        "name": "Ryan Donk",
        "slug": "ryan-donk",
        "shortName": "R. Donk",
        "position": "D",
        "userCount": 489,
        "id": 14900
      },
      "playerOut": {
        "name": "Ryan Babel",
        "slug": "ryan-babel",
        "shortName": "R. Babel",
        "position": "F",
        "userCount": 1577,
        "id": 1876
      },
      "id": 120059397,
      "time": 72,
      "isHome": True,
      "incidentType": "substitution"
    },
    {
      "playerIn": {
        "name": "Emre Akbaba",
        "slug": "emre-akbaba",
        "shortName": "E. Akbaba",
        "position": "M",
        "userCount": 604,
        "id": 343527
      },
      "playerOut": {
        "name": "Gedson Fernandes",
        "slug": "fernandes-gedson",
        "shortName": "G. Fernandes",
        "position": "M",
        "userCount": 3030,
        "id": 862055
      },
      "id": 120059396,
      "time": 71,
      "isHome": True,
      "incidentType": "substitution"
    },
    {
      "playerIn": {
        "name": "Henry Onyekuru",
        "slug": "henry-onyekuru",
        "shortName": "H. Onyekuru",
        "position": "M",
        "userCount": 1474,
        "id": 809220
      },
      "playerOut": {
        "name": "Emre Kılınç",
        "slug": "emre-kilinc",
        "shortName": "E. Kılınç",
        "position": "M",
        "userCount": 526,
        "id": 202032
      },
      "id": 120059398,
      "time": 71,
      "isHome": True,
      "incidentType": "substitution"
    },
    {
      "player": {
        "name": "Haris Hajradinović",
        "slug": "haris-hajradinovic",
        "shortName": "H. Hajradinović",
        "position": "M",
        "userCount": 357,
        "id": 254979
      },
      "playerName": "Haris Hajradinović",
      "reason": "Foul",
      "id": 119728581,
      "time": 71,
      "isHome": False,
      "incidentClass": "yellow",
      "incidentType": "card"
    },
    {
      "homeScore": 1,
      "awayScore": 1,
      "player": {
        "name": "Isaac Kiese Thelin",
        "slug": "isaac-kiese-thelin",
        "shortName": "I. K. Thelin",
        "position": "F",
        "userCount": 386,
        "id": 178743
      },
      "assist1": {
        "name": "Haris Hajradinović",
        "slug": "haris-hajradinovic",
        "shortName": "H. Hajradinović",
        "position": "M",
        "userCount": 357,
        "id": 254979
      },
      "id": 141786585,
      "time": 51,
      "isHome": False,
      "incidentClass": "regular",
      "incidentType": "goal"
    },
    {
      "playerIn": {
        "name": "Kevin Varga",
        "slug": "kevin-varga",
        "shortName": "K. Varga",
        "position": "M",
        "userCount": 274,
        "id": 602730
      },
      "playerOut": {
        "name": "Gilbert Koomson",
        "slug": "gilbert-koomson",
        "shortName": "G. Koomson",
        "position": "F",
        "userCount": 76,
        "id": 341107
      },
      "id": 120059401,
      "time": 46,
      "isHome": False,
      "incidentType": "substitution"
    },
    {
      "text": "HT",
      "homeScore": 1,
      "awayScore": 0,
      "isLive": False,
      "time": 45,
      "addedTime": 999,
      "incidentType": "period"
    },
    {
      "player": {
        "name": "Isaac Kiese Thelin",
        "slug": "isaac-kiese-thelin",
        "shortName": "I. K. Thelin",
        "position": "F",
        "userCount": 386,
        "id": 178743
      },
      "playerName": "Isaac Kiese Thelin",
      "reason": "Foul",
      "id": 119728580,
      "time": 15,
      "isHome": False,
      "incidentClass": "yellow",
      "incidentType": "card"
    },
    {
      "homeScore": 1,
      "awayScore": 0,
      "player": {
        "name": "Muhammed Kerem Aktürkoğlu",
        "firstName": "",
        "lastName": "",
        "slug": "muhammed-kerem-akturkoglu",
        "shortName": "M. K. Aktürkoğlu",
        "position": "F",
        "userCount": 281,
        "id": 903324
      },
      "id": 141786583,
      "time": 9,
      "isHome": True,
      "incidentClass": "regular",
      "incidentType": "goal"
    }
  ]
}

Source https://stackoverflow.com/questions/66269641

QUESTION

Creating Lists from Multiple Jsons with Missing Keys

Asked 2021-Feb-18 at 20:20

I am trying to create lists from json datas by pulling one by one and append them to the lists. However, some variables does not given in all json files. For example: for the json file below, data does not have ['statistics']['aerialLost'] , so it return Key Error. My Expected solution is when json file does not have key, append 'None' value to the list and continue.

Code

...

ANSWER

Answered 2021-Feb-18 at 20:20

Use .get(). You can specify a default value to return if the key is not found, and it defaults to None.

So you can use

Source https://stackoverflow.com/questions/66267392

QUESTION

AWK: sorting line based on the column data

Asked 2021-Feb-09 at 20:08

I am dealing with the CSV file produced from > 1000 txt filles, taking from each of the file its name and the value from the 5th column using the following AWK script:

...

ANSWER

Answered 2021-Feb-09 at 20:08

I suggest to pipe the output to sort:

Source https://stackoverflow.com/questions/66126197

QUESTION

JSON data to list

Asked 2021-Jan-30 at 13:42

I am trying to create a list from JSON file which are response>0>startXI>(0,1,2,3,4...)>player>name and response>1>startXI>(0,1,2,3,4...)>player>name. I tried the code below but am getting an error.

Code:

...

ANSWER

Answered 2021-Jan-30 at 13:42

You are looking at the incorrect key in the dictionary. The names are present as a list in data['response']['startXI']

Try this code:

Source https://stackoverflow.com/questions/65968484

QUESTION

ret = torch._C._nn.nll_loss(input, target, weight, _Reduction.get_enum(reduction), ignore_index) throws IndexError: Target 42 is out of bounds

Asked 2020-May-23 at 14:46

After loading CIFAR 100, I try to train my neural network. But I don't know why I get the out of bounds error shown below

...

ANSWER

Answered 2020-May-23 at 14:46

You are using CIFAR-100, which has 100 classes (hence the name). But your model only predicts 10 classes. Naturally, any class above 10 will result in an error.

The output of the last linear linear in the model's classifier needs to be changed to 100:

Source https://stackoverflow.com/questions/61968540

QUESTION

How can I make a select * query work in CosmosDB with a join?

Asked 2019-Jun-27 at 01:25

I have documents who look similar to this

...

ANSWER

Answered 2019-Jun-27 at 01:25

The error indicates that 'SELECT *' is only valid with a single input set.

Your sql uses JOIN,so please define the specific columns you want to query:

Source https://stackoverflow.com/questions/56769188

QUESTION

count the number of unique rows from a huge csv file

Asked 2019-May-20 at 06:32

I have a huge csv file (approx 5-6 GB) in size which is in Hive. Is there a way to count the number of unique lines that exist in the file ?

I do not have any clue for this.

I need to compare the output with another hive table which is having similar content but unique values. So, basically I need to find the number of linnes which are different.

...

ANSWER

Answered 2019-May-20 at 06:32

The below logic works based on hashing. It reads the hashes of each line and not the entire line, which minimises the size. Then the hashes are compared. Hashes mostly will be same for equal string, very rarely strings may vary, so the actual lines are read and actual strings are compared to be sure. The below should work for huge files too.

Source https://stackoverflow.com/questions/56163678

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

Vulnerabilities

No vulnerabilities reported

Install linne

Install the stable version from CRAN. Or install the development version 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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