pymarkups | Wrapper around various text markups , used in ReText | Data Manipulation library

 by   retext-project Python Version: 4.0.0 License: BSD-3-Clause

kandi X-RAY | pymarkups Summary

kandi X-RAY | pymarkups Summary

pymarkups is a Python library typically used in Utilities, Data Manipulation applications. pymarkups has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However pymarkups build file is not available. You can install using 'pip install pymarkups' or download it from GitHub, PyPI.

Wrapper around various text markups, used in ReText
Support
    Quality
      Security
        License
          Reuse

            kandi-support Support

              pymarkups has a low active ecosystem.
              It has 33 star(s) with 11 fork(s). There are 7 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 15 have been closed. On average issues are closed in 118 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of pymarkups is 4.0.0

            kandi-Quality Quality

              pymarkups has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              pymarkups is licensed under the BSD-3-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              pymarkups releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              pymarkups has no build file. You will be need to create the build yourself to build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed pymarkups and discovered the below as its top functions. This is intended to give you an instant insight into pymarkups implemented functionality, and help decide if they suit your requirements.
            • Exports the given markup file
            • Return the full HTML representation of the document
            • Get the JavaScript string
            • Return the document body
            • Get document title
            • Get the stylesheet
            • Load global extension list from file
            • Loads extensions list from a YAML file
            • Splits the extension config from the extension
            • Loads extensions list from a text file
            • Returns the markup class for the given file name
            • Return all available markups
            • Find a markup class by its name
            • Returns available markup types
            Get all kandi verified functions for this library.

            pymarkups Key Features

            No Key Features are available at this moment for pymarkups.

            pymarkups Examples and Code Snippets

            Extract and Join Text in Nested Parentheses
            Pythondot img1Lines of Code : 39dot img1License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            string = '(Order Filled (today))'
            string.replace('(','').replace(')','')
            
            def markup(message):
                msg = message
                result = ""
                markups = "()"
                num = 0
            
                # Check if the parentheses
                def has_ending(_str
            How to create an internal link in ReportLab Python?
            Pythondot img2Lines of Code : 6dot img2License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            Go to the end (go to document internal destination)
            Go to the beginning
            
            This is the document start
              (define document destination inside paragraph, color is optional)
            
            How to traverse a complex json in python
            Pythondot img3Lines of Code : 4dot img3License : Strong Copyleft (CC BY-SA 4.0)
            copy iconCopy
            import json
            
            json_dict = json.loads(json_string)
            

            Community Discussions

            QUESTION

            R: Is there a "Un-Character" Command in R?
            Asked 2022-Apr-10 at 17:37

            I am working with the R programming language.

            I have the following dataset:

            ...

            ANSWER

            Answered 2022-Apr-10 at 05:36

            Up front, "1,3,4" != 1. It seems you should look to split the strings using strsplit(., ",").

            Source https://stackoverflow.com/questions/71813866

            QUESTION

            Creating new columns based on data in row separated by specific character in R
            Asked 2022-Mar-15 at 08:48

            I've the following table

            Owner Pet Housing_Type A Cats;Dog;Rabbit 3 B Dog;Rabbit 2 C Cats 2 D Cats;Rabbit 3 E Cats;Fish 1

            The code is as follows:

            ...

            ANSWER

            Answered 2022-Mar-15 at 08:48

            One approach is to define a helper function that matches for a specific animal, then bind the columns to the original frame.

            Note that some wrangling is done to get rid of whitespace to identify the unique animals to query.

            Source https://stackoverflow.com/questions/71478316

            QUESTION

            Multiplying and Adding Values across Rows
            Asked 2022-Mar-10 at 08:24

            I have this data frame:

            ...

            ANSWER

            Answered 2022-Mar-10 at 04:12

            We can use stri_replace_all_regex to replace your color_1 into integers together with the arithmetic operator.

            Here I've stored your values into a vector color_1_convert. We can use this as the input in stri_replace_all_regex for better management of the values.

            Source https://stackoverflow.com/questions/71418533

            QUESTION

            How to make a rank column in R
            Asked 2022-Mar-07 at 16:19

            I have a database with columns M1, M2 and M3. These M values correspond to the values obtained by each method. My idea is now to make a rank column for each of them. For M1 and M2, the rank will be from the highest value to the lowest value and M3 in reverse. I made the output table for you to see.

            ...

            ANSWER

            Answered 2022-Mar-07 at 14:15

            Using rank and relocate:

            Source https://stackoverflow.com/questions/71381995

            QUESTION

            How to return the column title wherein the row contains the greatest value in Pandas Dataframe
            Asked 2022-Feb-24 at 20:56

            I working on a Python project that has a DataFrame like this:

            ...

            ANSWER

            Answered 2022-Feb-24 at 20:48

            You could use the idxmax method on axis:

            Source https://stackoverflow.com/questions/71258033

            QUESTION

            Split large csv file into multiple files based on column(s)
            Asked 2022-Feb-07 at 12:49

            I would like to know of a fast/efficient way in any program (awk/perl/python) to split a csv file (say 10k columns) into multiple small files each containing 2 columns. I would be doing this on a unix machine.

            ...

            ANSWER

            Answered 2021-Dec-12 at 05:22

            With your show samples, attempts; please try following awk code. Since you are opening files all together it may fail with infamous "too many files opened error" So to avoid that have all values into an array and in END block of this awk code print them one by one and I am closing them ASAP all contents are getting printed to output file.

            Source https://stackoverflow.com/questions/70320648

            QUESTION

            Get the first non-null value from selected cells in a row
            Asked 2022-Feb-04 at 09:55

            Good afternoon, friends!

            I'm currently performing some calculations in R (df is displayed below). My goal is to display in a new column the first non-null value from selected cells for each row.

            My df is:

            ...

            ANSWER

            Answered 2022-Feb-03 at 11:16

            One option with dplyr could be:

            Source https://stackoverflow.com/questions/70970158

            QUESTION

            pivot_longer with column pairs
            Asked 2022-Feb-03 at 14:02

            I am again struggling with transforming a wide df into a long one using pivot_longer The data frame is a result of power analysis for different effect sizes and sample sizes, this is how the original df looks like:

            ...

            ANSWER

            Answered 2022-Feb-03 at 10:59
            library(tidyverse)
            
            example %>% 
              pivot_longer(cols = starts_with("es"), names_to = "type", names_prefix = "es_", values_to = "es") %>%
              pivot_longer(cols = starts_with("pwr"), names_to = "pwr", names_prefix = "pwr_") %>% 
              filter(substr(type, 1, 3) == substr(pwr, 1, 3)) %>% 
              mutate(pwr = parse_number(pwr)) %>% 
              arrange(pwr, es, type)
            

            Source https://stackoverflow.com/questions/70969176

            QUESTION

            Simulating Random Draws From a "Hat"
            Asked 2021-Dec-28 at 21:50

            Suppose I have the following 10 variables (num_var_1, num_var_2, num_var_3, num_var_4, num_var_5, factor_var_1, factor_var_2, factor_var_3, factor_var_4, factor_var_5):

            ...

            ANSWER

            Answered 2021-Dec-26 at 10:11

            You may define a function FUN(n) that creates a data set as shown in OP.

            Source https://stackoverflow.com/questions/70483731

            QUESTION

            Break Apart a String into Separate Columns R
            Asked 2021-Dec-17 at 20:39

            I am trying to tidy up some data that is all contained in 1 column called "game_info" as a string. This data contains college basketball upcoming game data, with the Date, Time, Team IDs, Team Names, etc. Ideally each one of those would be their own column. I have tried separating with a space delimiter, but that has not worked well since there are teams such as "Duke" with 1 part to their name, and teams with 2 to 3 parts to their name (Michigan State, South Dakota State, etc). There also teams with "-" dashes in their name.

            Here is my data:

            ...

            ANSWER

            Answered 2021-Dec-16 at 15:25

            Here's one with regex. See regex101 link for the regex explanations

            Source https://stackoverflow.com/questions/70381064

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

            Vulnerabilities

            No vulnerabilities reported

            Install pymarkups

            You can install using 'pip install pymarkups' or download it from GitHub, PyPI.
            You can use pymarkups like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            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:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
            CLONE
          • HTTPS

            https://github.com/retext-project/pymarkups.git

          • CLI

            gh repo clone retext-project/pymarkups

          • sshUrl

            git@github.com:retext-project/pymarkups.git

          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link