dmr_utils | Python utilities for working with DMR | Data Manipulation library

 by   n0mjs710 Python Version: Current License: GPL-3.0

kandi X-RAY | dmr_utils Summary

kandi X-RAY | dmr_utils Summary

dmr_utils is a Python library typically used in Utilities, Data Manipulation, Numpy applications. dmr_utils has no bugs, it has no vulnerabilities, it has build file available, it has a Strong Copyleft License and it has low support. You can install using 'pip install dmr_utils' or download it from GitHub, PyPI.

Python utilities for working with DMR
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            kandi-support Support

              dmr_utils has a low active ecosystem.
              It has 19 star(s) with 22 fork(s). There are 8 watchers for this library.
              OutlinedDot
              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 1 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of dmr_utils is current.

            kandi-Quality Quality

              dmr_utils has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              dmr_utils is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              dmr_utils releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed dmr_utils and discovered the below as its top functions. This is intended to give you an instant insight into dmr_utils implemented functionality, and help decide if they suit your requirements.
            • Encode the embedded LCV data
            • Decoder of 16 bits
            • Calculate the checksum of the data
            • Convert a string representation of a sound
            • Convert an integer to bytes
            • Convert a string to a bitarray
            • Return a hex ID as a hex string
            • Decode a 16 bit integer
            • Takes an AMBE bit
            • Convert a 49 bit value to an AMBE
            • Parse a voice head term
            • Decode a full LSTL encoding
            • Encode the TLC header
            • Return a hexadecimal ID
            • Convert an integer to a hex string
            • Create a full full id dictionary from a file
            • Create a dict of callsign ids
            • Encode the LCS segment
            • Decode a byte string
            • Decode a 32 - bit integer
            • Convert sound to AMBE
            • Try to download file
            • Decode a full LCSL encoding
            • Get an alias from _dict
            • Get info from _dict
            • Calculate the CRC of the data
            • Decodes an EBLC envelope
            Get all kandi verified functions for this library.

            dmr_utils Key Features

            No Key Features are available at this moment for dmr_utils.

            dmr_utils Examples and Code Snippets

            No Code Snippets are available at this moment for dmr_utils.

            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 dmr_utils

            You can install using 'pip install dmr_utils' or download it from GitHub, PyPI.
            You can use dmr_utils 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 .
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