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apron | Advanced Properties — Read and write Java | JSON Processing library

 by   hupfdule Java Version: 2.1.1 License: Apache-2.0

 by   hupfdule Java Version: 2.1.1 License: Apache-2.0

kandi X-RAY | apron Summary

apron is a Java library typically used in Utilities, JSON Processing applications. apron has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub, Maven.
Apron is a small library for reading and writing Java .properties files. The main goal of this library is to be compatible with the java.util.Properties class. Not API-wise (the API is quite different), but being able to read every Java .properties file and getting exactly the same key-value pairs as java.util.Properties does. However Apron maintains the order of the entries in the properties files and also the comments, blank lines and whitespace before keys and around separators. This allows writing .properties files back that do not differ from the original ones. Since version 2.0.0 Apron provides the ability to reformat and reorder the content of .properties files according to different constraints. Refer to Reformatting and Reordering for a more detailled description. Apron was mainly written to be used in the Kilt toolset, but was intended from the start to be a general purpose library.
Support
Support
Quality
Quality
Security
Security
License
License
Reuse
Reuse

kandi-support Support

  • apron has a low active ecosystem.
  • It has 43 star(s) with 3 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 8 have been closed. On average issues are closed in 0 days. There are no pull requests.
  • It has a neutral sentiment in the developer community.
  • The latest version of apron is 2.1.1
apron Support
Best in #JSON Processing
Average in #JSON Processing
apron Support
Best in #JSON Processing
Average in #JSON Processing

quality kandi Quality

  • apron has 0 bugs and 0 code smells.
apron Quality
Best in #JSON Processing
Average in #JSON Processing
apron Quality
Best in #JSON Processing
Average in #JSON Processing

securitySecurity

  • apron has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
  • apron code analysis shows 0 unresolved vulnerabilities.
  • There are 0 security hotspots that need review.
apron Security
Best in #JSON Processing
Average in #JSON Processing
apron Security
Best in #JSON Processing
Average in #JSON Processing

license License

  • apron is licensed under the Apache-2.0 License. This license is Permissive.
  • Permissive licenses have the least restrictions, and you can use them in most projects.
apron License
Best in #JSON Processing
Average in #JSON Processing
apron License
Best in #JSON Processing
Average in #JSON Processing

buildReuse

  • apron releases are available to install and integrate.
  • Deployable package is available in Maven.
  • Build file is available. You can build the component from source.
  • Installation instructions, examples and code snippets are available.
  • It has 5940 lines of code, 375 functions and 30 files.
  • It has high code complexity. Code complexity directly impacts maintainability of the code.
apron Reuse
Best in #JSON Processing
Average in #JSON Processing
apron Reuse
Best in #JSON Processing
Average in #JSON Processing
Top functions reviewed by kandi - BETA

kandi has reviewed apron and discovered the below as its top functions. This is intended to give you an instant insight into apron implemented functionality, and help decide if they suit your requirements.

  • Unescapes a character sequence .
    • Reads the next logical line from the stream .
      • Merges an existing mapping with the new value .
        • Compares two BasicEntry objects .
          • Write an entry to the output stream .
            • Parse the property format string .
              • Removes an ordered orderable property key from the list .
                • Checks to see if Java version is Java .
                  • Gets the line ending .
                    • Returns a map of properties .

                      Get all kandi verified functions for this library.

                      Get all kandi verified functions for this library.

                      apron Key Features

                      Advanced Properties — Read and write Java .properties files in a more sane manner.

                      apron Examples and Code Snippets

                      Community Discussions

                      Trending Discussions on apron
                      • How do I pivot columns?
                      • how to filter array from the letters found within a word game?
                      • how to compare arrays and find if a letter is in the array at the same index and if it is in the array even if its not at the same index?
                      • Find the table entry with the largest number, only if it matches a condition
                      • Why is sklearn's TfidfVectorizer returning an empty matrix when I pass an argument for vocabulary, but not when I don't?
                      • jq - Parsing fields with hyphen - Invalid Numeric Literal
                      • Search Form refreshes the page instead of searching for a value
                      • Explode Array into Multidimensional Arrays (parent->child->sub-child)
                      • Use a specific part of code (img src) that I generated using a foreach loop in the page I open using asp-route-id and asp-page
                      • MongoDB query on two collections to add/subtract a field in first collection with matched field from second collection
                      Trending Discussions on apron

                      QUESTION

                      How do I pivot columns?

                      Asked 2021-Aug-04 at 17:08

                      I have found this dataframe in an Excel file, very disorganized. This is just a sample of a bigger dataset, with many jobs.

                      df <- data.frame(
                        Job = c("Frequency", "Driver", "Operator"),
                        Gloves = c("Daily", 1,2),
                        Aprons = c("Weekly", 2,0),
                      )
                      

                      Visually it's enter image description here

                      I need it to be in this format, something that I can work in a database:

                      df <- data.frame(
                        Job = c("Driver", "Driver", "Operator", "Operator"),
                        Frequency= c("Daily", "Weekly", "Daily", "Weekly"),
                        Item= c("Gloves", "Aprons", "Gloves", "Aprons"),
                        Quantity= c(1,2,2,0)
                      )
                      

                      Visually it's

                      enter image description here

                      Any thoughts in how do we have to manipulate the data? I have tried without any luck.

                      ANSWER

                      Answered 2021-Aug-04 at 17:03

                      We could use tidyverse methods by doing this in three steps

                      1. Remove the first row - slice(-1), reshape to 'long' format (pivot_longer)
                      2. Keep only the first row - slice(1), reshape to 'long' format (pivot_longer)
                      3. Do a join with both of the reshaped datasets
                      library(dplyr)
                      library(tidyr)
                      df %>% 
                         slice(-1) %>%
                         pivot_longer(cols = -Job, names_to = 'Item', 
                             values_to = 'Quantity') %>%
                          left_join(df %>%
                               slice(1) %>% 
                               pivot_longer(cols= -Job, values_to = 'Frequency',
                                  names_to = 'Item') %>% 
                              select(-Job) )
                      

                      -output

                      # A tibble: 4 x 4
                        Job      Item   Quantity Frequency
                        <chr>    <chr>  <chr>    <chr>    
                      1 Driver   Gloves 1        Daily    
                      2 Driver   Aprons 2        Weekly   
                      3 Operator Gloves 2        Daily    
                      4 Operator Aprons 0        Weekly   
                      
                      data
                      df <- data.frame(
                        Job = c("Frequency", "Driver", "Operator"),
                        Gloves = c("Daily", 1,2),
                        Aprons = c("Weekly", 2,0))
                      

                      Source https://stackoverflow.com/questions/68653856

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

                      Vulnerabilities

                      No vulnerabilities reported

                      Install apron

                      To use Apron in a maven based project use the following maven coordinates:. Otherwise download the jar-file of Apron from the Download page and put it into the classpath of your application.

                      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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                      Install
                      Clone
                      • https://github.com/hupfdule/apron.git

                      • gh repo clone hupfdule/apron

                      • git@github.com:hupfdule/apron.git

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