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Plotting Functions

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Will Norris edited this page Jul 5, 2019 · 1 revision

There are currently two plotting functions in SWEpy to quickly display the findings. They are simple and are meant for making sure you are getting the data you are expecting and quickly visualizing trends.

Melt Onset Visualization

Summer Length Change Visualization

Overview

Home

Before Installing

Dependencies

Setup

Installing

Setting up Jupyter

Basic Use

Instantiating the Class

Automated Workflow: scrape_all()

Scrape, Subset, and Concatenate

Advanced Use

Set Class Parameters after Instantiating the Class (set_params)

Subsetting files that are already downloaded (get_files2sub)

Downscaling imagery and using safe_subract()

Customized Web Scraping

How it Works

Set up Scraping Session

Scripting with Web Scraper

Processing Module

How to use Process

Analysis Module

What is Analysis?

How to use Analysis

Melt Onset Analysis

Plotting Functions

Reference Info

Function Summaries

Scrape_all() optimized choices

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