jwql | The James Webb Space Telescope Quicklook Application | Data Manipulation library

by spacetelescope Python Version: 1.1.1 License: BSD-3-Clause

X-Ray Key Features Code Snippets(3)Community Discussions(10)Vulnerabilities Install Support

kandi X-RAY | jwql Summary

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

The James Webb Space Telescope Quicklook Application

Support

Quality

Security

License

Reuse

Support

jwql has a low active ecosystem.

It has 55 star(s) with 37 fork(s). There are 12 watchers for this library.

It had no major release in the last 12 months.

There are 115 open issues and 478 have been closed. On average issues are closed in 84 days. There are 14 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of jwql is 1.1.1

Quality

jwql has no bugs reported.

Security

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

License

jwql 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.

Reuse

jwql releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

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

Plot temperature plots
Creates cryo temperature
Create pandas dataframe
Plot detector temperature
Run the bad pixel monitor
Identify the relevant tables
Returns a list of possible aperture names
Filter results based on filtering criteria
Process a program
Run bias_monitor
Parse filename
Generate the power plots
Run calibration task
Extract data for a single day
Get the database for a given instrument
Group filenames by exposure
Generate an interactive preview for an image
Plot voltages
Validate the search data
Run the readnoise monitor
Get data from a fits file
Extract information about an amplifier
Saves a calibration task to a file
Run the dark monitor
Run the analysis
Run the main routine

Get all kandi verified functions for this library.

jwql Key Features

No Key Features are available at this moment for jwql.

jwql Examples and Code Snippets

Environment Installation

Python

Lines of Code : 4

License : Permissive (BSD-3-Clause)

Copy

conda update conda

source activate base/root

conda env create -f environment_python_3_7.yml

conda env create -f environment_python_3.8.yml

Clone the

Python

Lines of Code : 4

License : Permissive (BSD-3-Clause)

Copy

git clone https://github.com/spacetelescope/jwql.git
cd jwql

git clone git@github.com:spacetelescope/jwql.git
cd jwql

The JWST Quicklook Application (,Installation for Users

Python

Lines of Code : 1

License : Permissive (BSD-3-Clause)

Copy

pip install jwql

Community Discussions

Trending Discussions on Data Manipulation

R: Is there a "Un-Character" Command in R?

Creating new columns based on data in row separated by specific character in R

Multiplying and Adding Values across Rows

How to make a rank column in R

How to return the column title wherein the row contains the greatest value in Pandas Dataframe

Split large csv file into multiple files based on column(s)

Get the first non-null value from selected cells in a row

pivot_longer with column pairs

Simulating Random Draws From a "Hat"

Break Apart a String into Separate Columns R

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 jwql

To install jwql, simply use pip:. The section below describes a more detailed installation for users that wish to contribute to the jwql repository.
Getting jwql up and running on your own computer requires four steps, detailed below:.
Cloning the GitHub repository
Installing the condaenvironment
Installing the python package
Setting up the configuration file
Following the download of the jwql repository, contributors can then install the jwql conda environment via the environment yaml file, which contains all of the dependencies for the project. First, if necessary, install conda. Next, ensure that your version of conda is up to date:.

Support

There are two current pages to review before you begin contributing to the jwql development. The first is our style guide and the second is our suggested git workflow page, which contains an in-depth explanation of the workflow. Contributors are also encouraged to check out the Checklist for Contributors Guide to ensure the pull request contains all of the necessary changes.

Find more information at: