py-findpeaks | Overview of the peaks dectection algorithms | Data Manipulation library

 by   MonsieurV Python Version: Current License: MIT

kandi X-RAY | py-findpeaks Summary

kandi X-RAY | py-findpeaks Summary

py-findpeaks is a Python library typically used in Utilities, Data Manipulation, Numpy applications. py-findpeaks has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However py-findpeaks build file is not available. You can download it from GitHub.

Included in Scipy 0.11+. Included in Scipy 1.1+. Single file sourceDepends on Numpy. Minimum distanceMinimum heightRelative threshold. PyPI package PeakUtils Depends on Scipy. Single file sourceDepends on Scipy. Requires an Octave-Forge distribution+ PyPI package oct2pyDepends on Scipy. Minimum distanceMinimum heightMinimum peak width. Single functionDepends on Numpy. Single functionDepends on Numpy. Included in mlpyDepends on Scipy and GSL. Single functionDepends on Scipy and GSL.
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            kandi-support Support

              py-findpeaks has a low active ecosystem.
              It has 693 star(s) with 166 fork(s). There are 38 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 4 have been closed. On average issues are closed in 26 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of py-findpeaks is current.

            kandi-Quality Quality

              py-findpeaks has 0 bugs and 0 code smells.

            kandi-Security Security

              py-findpeaks has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              py-findpeaks code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              py-findpeaks is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              py-findpeaks releases are not available. You will need to build from source code and install.
              py-findpeaks has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions, examples and code snippets are available.
              py-findpeaks saves you 310 person hours of effort in developing the same functionality from scratch.
              It has 747 lines of code, 19 functions and 18 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

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            py-findpeaks Key Features

            No Key Features are available at this moment for py-findpeaks.

            py-findpeaks Examples and Code Snippets

            No Code Snippets are available at this moment for py-findpeaks.

            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 py-findpeaks

            You need to have Numpy, Scipy and Matplotlib installed - possibly the latest versions.
            Some examples rely on other packages - like PeakUtils. Install them using Pipenv to run all sample codes:.

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            https://github.com/MonsieurV/py-findpeaks.git

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            gh repo clone MonsieurV/py-findpeaks

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