data_filter | an extensible DSL for filtering data sets | Widget library

by backupify Ruby Version: Current License: MIT

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

kandi X-RAY | data_filter Summary

data_filter is a Ruby library typically used in User Interface, Widget applications. data_filter has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

DataFilter is a library for creating filters that are consistent, reusable, and easy to read. A filter is simply something that decides whether or not an element should be removed from a set. For example, we could create a DataFilter::FilterSet that is comprised of various filters and then pass an array into the filter set. The filter set will then remove elements that do not pass each of the filters.

Support

Quality

Security

License

Reuse

Support

data_filter has a low active ecosystem.

It has 54 star(s) with 0 fork(s). There are 63 watchers for this library.

It had no major release in the last 6 months.

There are 0 open issues and 1 have been closed. On average issues are closed in 124 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of data_filter is current.

Quality

data_filter has 0 bugs and 0 code smells.

Security

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

data_filter code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

data_filter is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

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

Installation instructions are not available. Examples and code snippets are available.

data_filter saves you 244 person hours of effort in developing the same functionality from scratch.

It has 595 lines of code, 39 functions and 16 files.

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

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data_filter Key Features

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data_filter Examples and Code Snippets

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Community Discussions

Trending Discussions on data_filter

Django custom queryset class slicing not working

trouble with mutate and group by in reactive values in shiny

Is it possible to return the output of an if statement to use as a filter in shiny?

Select from data.frame based on another data.frame in R

How to include a new geography in this table?

Filter and get unique values from array

plotly graph in shinyapp isn't reactive to input

Upsample timeseries with weather data in a correct way

AttributeError: 'list' object has no attribute 'data_filter'

How to add custom space between widgets in QVboxLayout?

QUESTION

Django custom queryset class slicing not working

Asked 2022-Apr-08 at 09:49

We are using a custom object(pas1_objects). Once we perform some filter operation we are getting the below query set.

...

ANSWER

Answered 2022-Apr-08 at 09:49

Querysets are evaluated only when you slice them. In other terms the database is hit each time you perform a slicing operation (cf. Django documentation regarding this point).

Then, the question is: why isn't the effect of your order_by method the same for every evaluation? There might be several (non exclusive) explanations, depending on the content of your User database table and on your variable sort_array.

The database has been updated between 2 evaluations of the queryset,
*sort_array corresponds to a tuple which is not long, precise enough for the order to be fixed and unique. From the documentation:

A particular ordering is guaranteed only when ordering by a set of fields that uniquely identify each object in the results. For example, if a name field isn’t unique, ordering by it won’t guarantee objects with the same name always appear in the same order.

A simple solution would be to force the evaluation of your queryset before to perform slicing, by calling list() on it:

Source https://stackoverflow.com/questions/71794591

QUESTION

trouble with mutate and group by in reactive values in shiny

Asked 2022-Feb-19 at 15:23

My shiny app will be used in the following way:

upload csv (tab 1)
select variables of interest (tab 2)
press button for operation (tab 2)

The operation is to count the number of unique observations (factor A) by group (trial_id) to estimate the degree of freedom for a particular trial (those interested in stats will know what I mean). However, I have not been able to group by using reactive values (selected variables of a csv file). I've tried a lot of things. rlang, etc. Even when the output is printed, the group_by function is not able to properly get the correct grouping. Any help would be greatly appreciated.

...

ANSWER

Answered 2022-Feb-19 at 15:23

Perhaps you are looking for this

Source https://stackoverflow.com/questions/71180758

QUESTION

Is it possible to return the output of an if statement to use as a filter in shiny?

Asked 2022-Jan-14 at 05:13

I am attempting to use an if statement as a way to return a column name that will be selected in an interactive shiny app to return a monthly average of the selected column's stats. I have attempted to use input$type, case_when, ifelse, and base R if statements -- is there a better strategy for referring to an unknown column name in shiny?

...

ANSWER

Answered 2022-Jan-14 at 05:13

We can use .data[[]] pronoun to subset with a string.

The app should look something like this.

Source https://stackoverflow.com/questions/70705136

QUESTION

Select from data.frame based on another data.frame in R

Asked 2021-Dec-30 at 12:24

I have a very simple question I struggling to solve in R (find many answers in other coding systems).

I have a data.frame with an ID field with several IDs:

...

ANSWER

Answered 2021-Dec-30 at 11:02

You can use dplyr to filter for existing ids:

Source https://stackoverflow.com/questions/70530651

QUESTION

How to include a new geography in this table?

Asked 2021-Nov-09 at 21:12

I got this code from someone else and so only know the basic framework. However, to reproduce this you would open a new R markdown document, delete everything below the YAML, and then paste in this. The items in bold below have to be moved to the left for this to knit.

My question is this, how would I bring the United States into the table as a 11th item? Would I do this action in the jolts section or the subtable? United states is code "00". Every state has a two digit state code with the US being "00"

...

ANSWER

Answered 2021-Nov-09 at 21:12

So the solution is two parts.

First, put the following code in after the four jolts elements.

Source https://stackoverflow.com/questions/69904650

QUESTION

Filter and get unique values from array

Asked 2021-Oct-11 at 06:46

I am trying to apply filter on array and get unique values. In the array below, I am applying filter on Group and then extract unique values from Category. I have written a function which is working absolutely fine, wanted to understand if it is an efficient approach to pull unique values after filtering.

...

ANSWER

Answered 2021-Oct-11 at 06:16

You could make use of Set.

Your filter logic to filter down the input array is correct. In order to generate the unique categories, you could create an array of categories using Array.map. From that list you can pick the unique elements using Set. Also sort that unique array if needed.

Working Fiddle

Source https://stackoverflow.com/questions/69521585

QUESTION

plotly graph in shinyapp isn't reactive to input

Asked 2021-Sep-14 at 13:13

I'm trying to set up a shinyapp with a plotly linegraph that is reactive to the input. I am using plot_ly for the graph and my ideal graph would have as many lines as are selected in the checkboxGroupInput. My problem is that the graph isn't reacting to the input, it's plotting either all of the choices or won't plot more than one but I can't figure out to code it the way I want. It has worked with ggplot, but I have to use plotly for other reasons, so I would like to stick with that. I have tried to filter my data or to make a reactive variable ->col(), but that didn't work. Another problem is that the sliderInput with the date-variable doesn't work (or the graph isn't reacting accordingly).

If you have any suggestions or tipps, I would be really thankful!

Here is my code so far:

...

ANSWER

Answered 2021-Sep-14 at 13:12

library(dplyr)
library(shiny)
library(shinydashboard)
library(plotly)

# data frame
land <- c("BW", "BW", "BW", 
          "MV", "MV", "MV", "MV",
          "SH", "SH", "SH")

total <- c(1, 5, 3, 
           7, 4, 2, 4, 
           7, 2, 6)

gewalt <- c(1, 1, 2, 
            2, 2, 0, 1, 
            4, 0, 3)

sonst <- c(0, 4, 1, 
           5, 2, 2, 3, 
           3, 2, 3)

date <- c("2001-12-31", "2003-06-30", "2006-11-30",
          "2001-12-31", "2006-11-30", "2008-09-30", "2010-02-28",
          "2001-12-31", "2003-06-30", "2006-11-30")

data <- data.frame(cbind(land, total, gewalt, sonst, date))

data$land <- as.factor(data$land)
data$total <- as.numeric(data$total)
data$gewalt <- as.numeric(data$gewalt)
data$sonst <- as.numeric(data$sonst)
data$date <- as.Date(data$date)

# user interface
ui <- dashboardPage(
  dashboardHeader(),
  dashboardSidebar(),
  dashboardBody(
    fluidRow(
      box(
        selectInput("art3", "select what kind of crime:",
                    choices = c("Insgesamt"= "total",
                                "Gewalttaten"= "gewalt", 
                                "Straftaten"= "sonst")),
        
        sliderInput("time3", "select the time frame",
                    min(data$date), max(data$date),
                    value = c(min(data$date), max(data$date)), timeFormat = "%b %Y"),
        
        checkboxGroupInput("bl3", "select the state:",
                           choices= levels(data$land)),
        
        width = 4),
      
      box(plotlyOutput("plot3"),
          width = 8)
    )))

# server
server <- function(input, output, session) {
  

  output$plot3 <- renderPlotly({ 
    validate(
      need(input$bl3, 
           message = "select something first."
      )) 
    
    
    data_filtered <- filter(
      data, 
      date >= input$time3[1], 
      date <= input$time3[2],
      land %in% input$bl3) # filter land as well
    
    
    
    plot_ly(data_filtered, 
            x=~date, color = ~land, mode= "lines+markers") %>% 
      add_lines(y= ~ .data[[input$art3]])
  })
}

shinyApp(ui, server)

Source https://stackoverflow.com/questions/69178125

QUESTION

Upsample timeseries with weather data in a correct way

Asked 2021-Aug-31 at 17:07

I have a dataset that holds weather data for each month from 1st day to 20th of month and for each hour of the day throw a year and the last 10 days(with it's hours) of each month are removed.

The weather data are : (temperature - humidity - wind_speed - visibility - dew_temperature - solar_radiation - rainfall -snowfall)

I want to upsample the dataset as time series to fill the missing data of the days but i face many issue due too the changes of climate.

Here it what is tried so far

...

ANSWER

Answered 2021-Aug-31 at 17:07

There is a lot of manners to deal with missing timeseries values in fact.

You already tried the traditional way, imputing data with mean values. But the drawback of this method is the bias caused by so many values on the data.

You can try a genetic algorithm (GA), Support Vector Machine(SVR), autoregressive(AR) and moving average(MA) for time series imputation and modeling. To overcome the bias problem caused by the tradional method (mean), these methods are used to forecast or/and impute time series.

(Consider that you have a multivariate timeseries)

Here are some ressources you can use :

A Survey on Deep Learning Approaches

time.series.missing-values-in-time-series-in-python

Interpolation in Python to fill Missing Values

Source https://stackoverflow.com/questions/68963674

QUESTION

AttributeError: 'list' object has no attribute 'data_filter'

Asked 2021-Jun-05 at 18:57

I want to make a Telegram bot to notify korea school meal but It has a problem

AttributeError: 'list' object has no attribute 'data_filter'

I tried to modify the source code, but I was quite a beginner, so another error occurred when I tried to modify it. I'm sorry to write such an unhelpful word.

koreans are not the cause of the error

...

ANSWER

Answered 2021-Jun-05 at 18:55

You are converting Filters.text to a list. Remove the square brackets in MessageHandler method.

Source https://stackoverflow.com/questions/67852882

QUESTION

How to add custom space between widgets in QVboxLayout?

Asked 2021-Apr-19 at 14:39

I am trying to move last 2 widgets (btn1, btn2) apart from the rest of widgets in vbox layout. I use insertSpacing with index of the widget below but it moves both widgets down by 500. How can I move down btn1 by 20 and btn2 by 500 ?

...

ANSWER

Answered 2021-Apr-19 at 14:39

Qt layout managers use abstract items called QLayoutItem in order to represent an element that is managed by a layout.

Those items normally contain widgets, but they can also contain other layouts or spacers (QSpacerItem).

What happens in your case is that when you call the following line:

Source https://stackoverflow.com/questions/67163778

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

Vulnerabilities

No vulnerabilities reported

Install data_filter

You can download it from GitHub.
On a UNIX-like operating system, using your system’s package manager is easiest. However, the packaged Ruby version may not be the newest one. There is also an installer for Windows. Managers help you to switch between multiple Ruby versions on your system. Installers can be used to install a specific or multiple Ruby versions. Please refer ruby-lang.org for more information.

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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