Bob_Ross_Paintings | Dataset : All Bob Ross paintings
kandi X-RAY | Bob_Ross_Paintings Summary
kandi X-RAY | Bob_Ross_Paintings Summary
Bob_Ross_Paintings is a Python library. Bob_Ross_Paintings has no bugs, it has no vulnerabilities and it has low support. However Bob_Ross_Paintings build file is not available. You can download it from GitHub.
This repo stores data from the paintings of Bob Ross featured in the TV Show 'The Joy of Painting':.
This repo stores data from the paintings of Bob Ross featured in the TV Show 'The Joy of Painting':.
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Bob_Ross_Paintings has a low active ecosystem.
It has 99 star(s) with 23 fork(s). There are 5 watchers for this library.
It had no major release in the last 6 months.
Bob_Ross_Paintings has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Bob_Ross_Paintings is current.
Quality
Bob_Ross_Paintings has 0 bugs and 0 code smells.
Security
Bob_Ross_Paintings has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
Bob_Ross_Paintings code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
Bob_Ross_Paintings does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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Bob_Ross_Paintings releases are not available. You will need to build from source code and install.
Bob_Ross_Paintings has no build file. You will be need to create the build yourself to build the component from source.
Installation instructions are not available. Examples and code snippets are available.
Bob_Ross_Paintings saves you 30 person hours of effort in developing the same functionality from scratch.
It has 83 lines of code, 11 functions and 1 files.
It has low code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed Bob_Ross_Paintings and discovered the below as its top functions. This is intended to give you an instant insight into Bob_Ross_Paintings implemented functionality, and help decide if they suit your requirements.
- Get a list of all paintings
- Get the text number of text
- Get the url of the image
- Get painting number
- Return episode number
- Gets the data image
- Get the number of colors in the result
- Get painting title
- Return season number
- Gets youtube src from result
Get all kandi verified functions for this library.
Bob_Ross_Paintings Key Features
No Key Features are available at this moment for Bob_Ross_Paintings.
Bob_Ross_Paintings Examples and Code Snippets
No Code Snippets are available at this moment for Bob_Ross_Paintings.
Community Discussions
Trending Discussions on Bob_Ross_Paintings
QUESTION
Why d3.extent without parseInt returns the max value of "9" on column num_colors on Bob Ross dataset?
Asked 2021-Apr-03 at 19:20
With this dataset (https://github.com/jwilber/Bob_Ross_Paintings/tree/master/data), I want to get the min and max value of the column:
- num_colors.
With d3.extent() I'm able to achieve it, the values are stringify and needed to be parse first. But why does it return "9" without parseInt.
The possible values are the following for num_colors: 1, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15
...ANSWER
Answered 2021-Apr-03 at 19:20Without parseInt d3.extent interprets num_colors as a string value and sorts it alphabetically
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Bob_Ross_Paintings
You can download it from GitHub.
You can use Bob_Ross_Paintings 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.
You can use Bob_Ross_Paintings 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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