sarpy | basic Python library to demonstrate reading

by ngageoint Python Version: 1.3.58 License: MIT

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

kandi X-RAY | sarpy Summary

sarpy is a Python library. sarpy 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 sarpy' or download it from GitHub, PyPI.

A basic Python library to demonstrate reading, writing, display, and simple processing of complex SAR data using the NGA SICD standard.

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Support

sarpy has a low active ecosystem.

It has 180 star(s) with 65 fork(s). There are 30 watchers for this library.

There were 10 major release(s) in the last 12 months.

There are 2 open issues and 66 have been closed. On average issues are closed in 73 days. There are 1 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of sarpy is 1.3.58

Quality

sarpy has 0 bugs and 2355 code smells.

Security

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

sarpy code analysis shows 0 unresolved vulnerabilities.

There are 18 security hotspots that need review.

License

sarpy 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

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

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.

sarpy saves you 94807 person hours of effort in developing the same functionality from scratch.

It has 117833 lines of code, 3887 functions and 491 files.

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

Top functions reviewed by kandi - BETA

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

Returns SICD type
Construct from an array
Derive the simulation
Derive the PFA
Get SIC DICD instance
Populates the RDIIRS for a SICD
Populates the rniir
Calculate the area of the snow layer
Calculate nominal noise estimate
Convert input_file to SICD format
Calculates the quality of a SICD
Find SICD metadata
Change the name of an entry
Returns the numpy dtype of the vector
Fit the best physical location to the ground location
Create the image subheader and image submits
Determine the parameters of the grid
Build a location spline line from the data
Finds best adjustmentable parameters for SICD
Set the plane frame
Return a string representation of a value
Add object from arguments
Create a new object from arguments
Creates a detection image sidd
Returns the SICD type
Convenience function to convert the input files to SICD format
Create a KMZ file for the given polarization

Get all kandi verified functions for this library.

sarpy Key Features

No Key Features are available at this moment for sarpy.

sarpy Examples and Code Snippets

No Code Snippets are available at this moment for sarpy.

Community Discussions

Trending Discussions on sarpy

Is there an R function to help turn State abbreviations into full names? Or Vice Versa?

QUESTION

Is there an R function to help turn State abbreviations into full names? Or Vice Versa?

Asked 2022-Apr-18 at 03:52

I have two large-ish data frames I am trying to append...

In df1, I have state codes, county codes, state names (Alabama, Alaska, etc.), county names, and years from 2010:2020.

In df2, I have county names, state abbreviations (AL, AK), and data for the year 2010 (which I am trying to merge into df1. The issue lies in that without specifying the state name and simply merging df1 and df2, some of the data which I am trying to get into df1 is duplicated due to there being some counties with the same name...hence, I am trying to also join by state to prevent this, but I have state abbreviations, and state names.

Is there any way in which I can make either the state names in df1 abbreviations, or the state names in df2 full names? Please let me know! Thank you for the help.

Edit: dput(df2)

...

ANSWER

Answered 2022-Apr-18 at 03:52

Here's one way you could turn state abbreviations into state names using R's built in state vectors:

Source https://stackoverflow.com/questions/71907258

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

Vulnerabilities

No vulnerabilities reported

Install sarpy

From PyPI, install using pip (may require escalated privileges e.g. sudo):. Note that here pip represents the pip utility for the desired Python environment. For verbose instructions for installing from source, see [here](https://docs.python.org/3/install/index.html). It is recommended that still the package is built locally and installed using pip, which allows a proper package update mechanism, while python setup.py install does not.

Support

Documentation for the project is available at [readthedocs](https://sarpy.readthedocs.io/en/latest/). If this documentation is inaccessible, it can be built locally after checking out this repository using sphinx via the command python setup.py build_sphinx. This depends on python packages sphinx and sphinxcontrib-napoleon.

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