pythreadex 0.1

Utility for retrieving and plotting ThreadEx data

pythreadex

Pythreadex is a simple Python utility to fetch long-term station data for the United States from ThreadEx, courtesy of ACIS (https://www.rcc-acis.org/). This utility includes a few plotting and climatology functions, as well as converting data to CSV format.

Installation

Pip

Installation is available via pip:

pip install pythreadex

From source

pythreadex can also be installed from source by cloning the GitHub repository:

git clone https://github.com/tomerburg/pythreadex
cd pythreadex
python setup.py install

Dependencies

• matplotlib >= 2.2.2
• numpy >= 1.14.3
• scipy >= 1.1.0
• pandas >= 1.3.0

Sample Usage

For full documentation and examples, please refer to Tropycal Documentation.

As of v0.3, the documentation is up-to-date following a bug that started with v0.2.5 where the documentation was not updated with each release.

Sample Usage

This sample code shows how to search through a dataset, retrieve station data, make a plot and convert the data to CSV format:

from pyhreadex import Dataset
import matplotlib.pyplot as plt
            
# Create an instance of Dataset
dataset = Dataset()

# Retrieve all stations in New Jersey
print(stations.search_by_state('NJ'))

# Search for Newark, NJ's station ID
station_id = dataset.search_by_name('Newark, NJ')

# Create an instance of a Station object with this station ID
station = dataset.get_station(station_id)

# Make a plot of 2023 maximum temperatures, from January to May
station.plot_temp_time_series('max', year=2023, date_range=('1/1','5/31'))

# Convert data to a CSV file
station.to_csv('newark.csv')