DT | R Interface to the jQuery Plug-in DataTables | Plugin library

by rstudio JavaScript Version: v0.27 License: Non-SPDX

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

kandi X-RAY | DT Summary

DT is a JavaScript library typically used in Plugin, jQuery applications. DT has no bugs, it has no vulnerabilities and it has low support. However DT has a Non-SPDX License. You can download it from GitHub.

R Interface to the jQuery Plug-in DataTables

Support

Quality

Security

License

Reuse

Support

DT has a low active ecosystem.

It has 549 star(s) with 185 fork(s). There are 84 watchers for this library.

It had no major release in the last 12 months.

There are 157 open issues and 708 have been closed. On average issues are closed in 93 days. There are 7 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of DT is v0.27

Quality

DT has 0 bugs and 0 code smells.

Security

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

DT code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

DT 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

DT releases are available to install and integrate.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi's functional review helps you automatically verify the functionalities of the libraries and avoid rework.
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of DT

Get all kandi verified functions for this library.

DT Key Features

No Key Features are available at this moment for DT.

DT Examples and Code Snippets

No Code Snippets are available at this moment for DT.

Community Discussions

Trending Discussions on DT

What is the fastest way of creating an identificator for multi-row groups with data.table in R?

Changing overlap order of a line chart in altair

Pass a data.table column name to a function using :=

Creating nested columns in python dataframe

For loop for dataframes in R

Efficient way to extract data from NETCDF files

How to get message from logging function?

How can I transform and aggregate numeric values in a character column?

Apache Beam Cloud Dataflow Streaming Stuck Side Input

How to create a new data table based on pairwise combinations of a subset of column names?

QUESTION

What is the fastest way of creating an identificator for multi-row groups with data.table in R?

Asked 2022-Mar-24 at 08:14

I have a dataframe that identifies a set of values with an id:

...

ANSWER

Answered 2022-Mar-22 at 21:24

How about reshaping wider and using paste0()?

Source https://stackoverflow.com/questions/71578973

QUESTION

Changing overlap order of a line chart in altair

Asked 2022-Mar-08 at 02:17

I generate a line chart in Altair. I'd like to control which lines are "on top" of the stack of lines. In my example here, I wish for the red line to be on top (newest date) and then descend down to the yellow (oldest date) to be on the bottom.

I tried to control this with the sort parameter of of alt.Color but regardless of sort='ascending' or sort='descending' the order of the line overlap will not change.

How can I control this? Was hoping I can do this without sorting my source dataframe itself.

...

ANSWER

Answered 2022-Mar-08 at 02:17

By default, graphical marks are plotted in the order they occur in the dataframe (as you noted), which means that the elements last in the dataframe will be plotted last and end up on top in the chart (called the highest "layer" or the highest "z-order"):

Source https://stackoverflow.com/questions/71260969

QUESTION

Pass a data.table column name to a function using :=

Asked 2022-Mar-01 at 21:36

This question is the data.table equivalent of Pass a data.frame column name to a function.

Suppose I have a very simple data.table:

...

ANSWER

Answered 2022-Feb-26 at 00:32

new_column_byref <- function(df,col_name,expr){
  col_name <- deparse(substitute(col_name))
  set(df,j=col_name,value=eval(substitute(expr),df,parent.frame()))
}


dat <- data.table(x = 1:4,y = 5:8)

new_column_byref(dat,z,x+y)[]

   x y  z
1: 1 5  6
2: 2 6  8
3: 3 7 10
4: 4 8 12

Source https://stackoverflow.com/questions/71273018

QUESTION

Creating nested columns in python dataframe

Asked 2022-Feb-20 at 15:56

I have 3 columns namely Models(should be taken as index), Accuracy without normalization, Accuracy with normalization (zscore, minmax, maxabs, robust) and these are required to be created as:

...

ANSWER

Answered 2022-Feb-20 at 13:01

There's a dirty way to do this, I'll write about it till someone answers with a better idea. Here we go:

Source https://stackoverflow.com/questions/71193085

QUESTION

For loop for dataframes in R

Asked 2022-Feb-10 at 20:54

I am trying to do a function of decumulation with a for loop in R because the financial information provided by the company is accumulated for different concepts (this means that the info of January is only of January, the info of February is the sum of January and February, the one of March is the sum of January, February and March, etc.).

For example, let's say that I have the next dataframe:

...

ANSWER

Answered 2021-Dec-29 at 18:21

First note that if you apply base function diff to the months columns, you will get one column less but transposed.

Source https://stackoverflow.com/questions/70523195

QUESTION

Efficient way to extract data from NETCDF files

Asked 2022-Jan-21 at 18:30

I have a number of coordinates (roughly 20000) for which I need to extract data from a number of NetCDF files each comes roughly with 30000 timesteps (future climate scenarios). Using the solution here is not efficient and the reason is the time spent at each i,j to convert "dsloc" to "dataframe" (look at the code below). ** an example NetCDF file could be download from here **

...

ANSWER

Answered 2021-Sep-26 at 00:51

I have a potential solution. The idea is to convert xarray data array to pandas first, then get a subset of the pandas dataframe based on lat/lon conditions.

Source https://stackoverflow.com/questions/69330668

QUESTION

How to get message from logging function?

Asked 2022-Jan-18 at 13:27

I have a logger function from logging package that after I call it, I can send the message through logging level.

I would like to send this message also to another function, which is a Telegram function called SendTelegramMsg().

How can I get the message after I call the funcion setup_logger send a message through logger.info("Start") for example, and then send this exatcly same message to SendTelegramMsg() function which is inside setup_logger function?

My currently setup_logger function:

...

ANSWER

Answered 2022-Jan-06 at 15:59

Picking up the idea suggested by @gold_cy: You implement a custom logging.Handler. Some hints for that:

for the handler to be able to send message via a bot, you may want to pass the bot to the handlers __init__ so that you have it available later
emit must be implemented by you. Here you'll want to call format which gives you a formatted version of the log record. You can then use that message to send it via the bot
Maybe having a look at the implementation of StreamHandler and FileHandler is helpful as well

Source https://stackoverflow.com/questions/70608619

QUESTION

How can I transform and aggregate numeric values in a character column?

Asked 2022-Jan-12 at 18:47

I have the followed column structure:

...

ANSWER

Answered 2022-Jan-12 at 17:36

We may remove the non-numeric part with gsub, read with read.table specifying the sep as - and use rowMeans in base R

Source https://stackoverflow.com/questions/70685950

QUESTION

Apache Beam Cloud Dataflow Streaming Stuck Side Input

Asked 2022-Jan-12 at 13:12

I'm currently building PoC Apache Beam pipeline in GCP Dataflow. In this case, I want to create streaming pipeline with main input from PubSub and side input from BigQuery and store processed data back to BigQuery.

Side pipeline code

...

ANSWER

Answered 2022-Jan-12 at 13:12

Here you have a working example:

Source https://stackoverflow.com/questions/70561769

QUESTION

How to create a new data table based on pairwise combinations of a subset of column names?

Asked 2022-Jan-08 at 00:15

I am trying to define a function that takes a data frame or table as input with a specific number of ID columns (e.g., 2 or 3 ID columns), and the remaining columns are NAME1, NAME2, ..., NAMEK (numeric columns). The output should be a data table that consists of the same ID columns as before plus one additional ID column that groups each unique pairwise combination of the column names (NAME1, NAME2, ...). In addition, we must gather the actual values of the numeric columns into two new columns based on the ID column; an example with two ID columns and three numeric columns:

...

ANSWER

Answered 2021-Dec-29 at 11:06

Attention:

Here is an inspiring idea which is not fully satisfy OP's requirement (e.g., ID.new and number order) but I think it worth to be recoreded here.

You can turn DT into long format by melt firstly. Then to shift value with the step -nrow(DT) in order to do the minus operation, i.e. NAME1 - NAME2, NAME2 - NAME3, NAME3 - NAME1.

Source https://stackoverflow.com/questions/70495334

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

Vulnerabilities

No vulnerabilities reported

Install DT

You may install the stable version from CRAN, or the development version using remotes:. See the full documentation at https://rstudio.github.io/DT/. Please use Github issues only if you want to file bug reports or feature requests, and you are expected to ask questions on StackOverflow with at least the tags r and dt.

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 .

Find more information at: