pumpernickel | This Java project includes classes related to desktop applications, Swing, performance, image proces

by mickleness Java Version: Current License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | pumpernickel Summary

pumpernickel is a Java library typically used in User Interface, JavaFX applications. pumpernickel 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.

Check out the project page for a slideshow of screenshots. That's probably the best way to get a feel for what topics are covered here.

Support

Quality

Security

License

Reuse

Support

pumpernickel has a low active ecosystem.

It has 55 star(s) with 13 fork(s). There are 8 watchers for this library.

It had no major release in the last 6 months.

There are 41 open issues and 40 have been closed. On average issues are closed in 225 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of pumpernickel is current.

Quality

pumpernickel has 0 bugs and 0 code smells.

Security

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

pumpernickel code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pumpernickel is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

pumpernickel releases are not available. You will need to build from source code and install.

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

pumpernickel saves you 137703 person hours of effort in developing the same functionality from scratch.

It has 143688 lines of code, 10421 functions and 979 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

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

Creates a JavaScript script with the given letter name
Trace the shape
Returns a map of all group IDs
Calculate the index of a given point
Draws the background image
Adds a color stop
Returns a LinearGradientPaint object
Returns a new image scaled to the maximum size
Pads an image to a desired size
Returns the shapes for this shape
Layouts this panel
Paint the slider slider
Paint the border around the border
Creates text pane
Get instruction instructions
This method returns an array of instructions that can be used to draw a transformation
Determines the border borders
Retrieve the ShowcaseDemos
Resample pixels
Installs the keyboard actions
Show the window
Creates a toolkit
Refresh the button
Paint the track
Parses a list of buttons into a list of buttons
Export to the file

Get all kandi verified functions for this library.

pumpernickel Key Features

No Key Features are available at this moment for pumpernickel.

pumpernickel Examples and Code Snippets

No Code Snippets are available at this moment for pumpernickel.

Community Discussions

Trending Discussions on pumpernickel

Convert a data frame to a dictionary with a few keys (member_IDs) and additive values (account balances)

QUESTION

Convert a data frame to a dictionary with a few keys (member_IDs) and additive values (account balances)

Asked 2020-Apr-02 at 18:07

I have following problem: My goal is to extract the unique member IDs of a data frame and have the as keys and also extract and sum up the transactions they have and have them as values.

unique mem_id = e.g. 70850441974905670928446

amount = 150.78

card_members = df['unique_mem_id'].unique()

EDIT: Here an excerpt from the dataframe:

...

ANSWER

Answered 2020-Mar-27 at 04:39

dic = {}
for i in range(len(df)):
    key = df.at[i, 'unique_mem_id']
    if df.at[i, 'unique_mem_id'] in dic:
        dic[key] += df.at[i, 'description amount']
    else:
        dic[key] = df.at[i, 'description amount']

Source https://stackoverflow.com/questions/60761418

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

Vulnerabilities

No vulnerabilities reported

Install pumpernickel

You can download it from GitHub.
You can use pumpernickel like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the pumpernickel component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

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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