CCF_Product | CCF农产品价格预测线上rank2代码
kandi X-RAY | CCF_Product Summary
kandi X-RAY | CCF_Product Summary
CCF_Product is a Python library. CCF_Product has no bugs, it has no vulnerabilities and it has low support. However CCF_Product build file is not available. You can download it from GitHub.
CCF农产品价格预测线上rank2代码
CCF农产品价格预测线上rank2代码
Support
Quality
Security
License
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Support
CCF_Product has a low active ecosystem.
It has 92 star(s) with 47 fork(s). There are 5 watchers for this library.
It had no major release in the last 6 months.
There are 6 open issues and 2 have been closed. On average issues are closed in 258 days. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of CCF_Product is current.
Quality
CCF_Product has 0 bugs and 0 code smells.
Security
CCF_Product has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
CCF_Product code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
CCF_Product 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.
Reuse
CCF_Product releases are not available. You will need to build from source code and install.
CCF_Product has no build file. You will be need to create the build yourself to build the component from source.
CCF_Product saves you 405 person hours of effort in developing the same functionality from scratch.
It has 961 lines of code, 53 functions and 10 files.
It has low code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed CCF_Product and discovered the below as its top functions. This is intended to give you an instant insight into CCF_Product implemented functionality, and help decide if they suit your requirements.
- Creates a pandas dataframe with the latest price
- Move a day by a given offset
- Extract farm data
- Compute the difference between two dates
- Creates a pandas dataframe containing farm data
- Creates a pandas DataFrame with warm prices
- Generate a varm csv file
- Generate warm price data for a given date range
- Generate y data for a given day
- Creates a CSV file with time_diff
- Create CSV file with time_diff
Get all kandi verified functions for this library.
CCF_Product Key Features
No Key Features are available at this moment for CCF_Product.
CCF_Product Examples and Code Snippets
No Code Snippets are available at this moment for CCF_Product.
Community Discussions
No Community Discussions are available at this moment for CCF_Product.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install CCF_Product
You can download it from GitHub.
You can use CCF_Product 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 CCF_Product 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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