EPA-Weather-Tool | Weather Data Tool is a command line interface application
kandi X-RAY | EPA-Weather-Tool Summary
kandi X-RAY | EPA-Weather-Tool Summary
EPA-Weather-Tool is a Python library typically used in Travel, Transportation, Logistics applications. EPA-Weather-Tool 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.
The Weather Data Tool is a command line interface application written in Python that facilitates the acquisition of time series precipitation data from national Forecast and Historical weather data providers and generates an output file to be consumed by the EPA Storm Water Management Model (SWMM). The application conducts lightweight processing and formatting of the downloaded data to generate an output file containing rainfall precipitation values greater than 0 and conforms to the specified DSI-3240 file format. Disclaimer: The United States Environmental Protection Agency (EPA) GitHub project code is provided on an "as is" basis and the user assumes responsibility for its use. EPA has relinquished control of the information and no longer has responsibility to protect the integrity , confidentiality, or availability of the information. Any reference to specific commercial products, processes, or services by service mark, trademark, manufacturer, or otherwise, does not constitute or imply their endorsement, recommendation or favoring by EPA. The EPA seal and logo shall not be used in any manner to imply endorsement of any commercial product or activity by EPA or the United States Government. Link to EPA Weather Tool in EPA's Reusable Components Services (RCS) page.
The Weather Data Tool is a command line interface application written in Python that facilitates the acquisition of time series precipitation data from national Forecast and Historical weather data providers and generates an output file to be consumed by the EPA Storm Water Management Model (SWMM). The application conducts lightweight processing and formatting of the downloaded data to generate an output file containing rainfall precipitation values greater than 0 and conforms to the specified DSI-3240 file format. Disclaimer: The United States Environmental Protection Agency (EPA) GitHub project code is provided on an "as is" basis and the user assumes responsibility for its use. EPA has relinquished control of the information and no longer has responsibility to protect the integrity , confidentiality, or availability of the information. Any reference to specific commercial products, processes, or services by service mark, trademark, manufacturer, or otherwise, does not constitute or imply their endorsement, recommendation or favoring by EPA. The EPA seal and logo shall not be used in any manner to imply endorsement of any commercial product or activity by EPA or the United States Government. Link to EPA Weather Tool in EPA's Reusable Components Services (RCS) page.
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Quality
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Support
EPA-Weather-Tool has a low active ecosystem.
It has 6 star(s) with 1 fork(s). There are 3 watchers for this library.
It had no major release in the last 6 months.
EPA-Weather-Tool has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of EPA-Weather-Tool is current.
Quality
EPA-Weather-Tool has 0 bugs and 0 code smells.
Security
EPA-Weather-Tool has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
EPA-Weather-Tool code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
EPA-Weather-Tool is licensed under the CC0-1.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
EPA-Weather-Tool 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.
Top functions reviewed by kandi - BETA
kandi has reviewed EPA-Weather-Tool and discovered the below as its top functions. This is intended to give you an instant insight into EPA-Weather-Tool implemented functionality, and help decide if they suit your requirements.
- Get an iterator over the datetimes
- Return the easter of a given year
- Add a value to the list
- Rebuilds the mask
- Parse command line arguments
- Log to console
- Returns a new rrule with the given kwargs
- Prompt the user for a coordinate system
- Loop through the data provider
- Parse rfc
- Parse a time offset
- Determine the transition for a given year
- Format the process data
- Rebuild a tar archive
- Checks if a datetime exists
- Run the routine
- Generate the output data of a Quantitative Precipitation
- Handle the BYDAY clause
- Return a dictionary of values for a key
- Return the metadata for the zoneinfo file
- Convert time to microseconds
- Return True if the given datetime is ambiguous
- Convert grid to grid
- Read a tzinfo file
- Convert datetime to UTC
- Get a tz instance
- Convert a naive datetime to a given epoch
Get all kandi verified functions for this library.
EPA-Weather-Tool Key Features
No Key Features are available at this moment for EPA-Weather-Tool.
EPA-Weather-Tool Examples and Code Snippets
No Code Snippets are available at this moment for EPA-Weather-Tool.
Community Discussions
No Community Discussions are available at this moment for EPA-Weather-Tool.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install EPA-Weather-Tool
You can download it from GitHub.
You can use EPA-Weather-Tool 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 EPA-Weather-Tool 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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