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Welcome to snowexsql

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Code Coverage

About

Database access and tools for using the SnowEx database. This tool is simply a client for accessing the database using python

WARNING - This is under active development in preparation for SnowEx Hackweek. Use at your own risk. Data will change as it is QA/QC'd and the end goal is for all data in this database to be pulled from NSIDC. The goal is for this to become a community database open to all.

Features

  • Database access for SnowEx Database
  • Analysis tools
  • Useful conversions to pandas and geopandas
  • Lots of examples

Installing

If you are just planning on using the database, then only install the python package instructions below.

I just want to use it

Install using pip:

pip install snowexsql

I want data fast

A programmatic API has been created for fast and standard access to Point and Layer data. There are two examples covering the features and usage of the api. See the specific api documentation for detailed description.

from snowexsql.api import PointMeasurements, LayerMeasurements
# The main functions we will use are `from_area` and `from_filter` like this
df = PointMeasurements.from_filter(
    date=date(2020, 5, 28), instrument='camera'
)
print(df.head())

I need help

Jump over to our discussion forum and get help from our community.

I want to contribute

Thank you for the interest!

Our community follows the Contributor Covenant

Have a look at our contribution guide and see the many ways to get involved!

Documentation

There is a whole host of resources for users in the documentation. It has been setup for you to preview in your browser.

In there you will find:

  • Examples of database use
  • Database structure
  • API to the python package snowexsql
  • Links to other resources
  • Notes about the data uploaded
  • And more!

To see the documentation in your browser:

Warning: To see the examples/gallery, the snowex db needs to be up. Otherwise they will be left with the last image submitted to GitHub.

make docs

DOI

  • SnowEx Hackweek 2022 - HW22