# PyScanCf: A Library for IMD Weather Radar Data **Release:** {{release}}\ **Date:** {{today}} % PyScanCf documentation master file, created by % sphinx-quickstart on Fri Apr 14 00:46:39 2023. % You can adapt this file completely to your liking, but it should at least % contain the root `toctree` directive. ## Welcome to PyScanCf's documentation! ```{include} ../Examples/examples.md ``` ```{warning} *This library is under heavy development.* ``` ```{toctree} :maxdepth: 2 :caption: Contents API notebooks/tutorial.ipynb ``` ```{image} https://badges.gitter.im/PyScanCf/Issues.svg :alt: Join the chat at https://gitter.im/PyScanCf/Issues :target: https://gitter.im/PyScanCf/Issues?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge ``` ## What is PyScanCf? Creates Py-ART compatible cf-radial data from individual sweeps of Indian Meteorological Department (IMD) Radar data ### Description PyScanCf is a library for creating cfradial (polar) data from IMD radars that contain all 10 sweeps from single scans which are named as (Polar_ABC.nc) as well as gridded radar data from which are named as (grid_ABC.nc). Both formats are compatible for PyART. It uses Pyart to create grid data, so please remember to cite **Py-ART** as well. ## Installation Installing PyScanCf from source is the only way to get the latest updates and enhancement to the software that have not yet made it into a release. The latest source code for PyScanCf can be obtained from the GitHub repository, . How to install: ``` conda create -n pcf python=3.9 jupyter arm_pyart pandas wradlib git -c conda-forge conda activate pcf pip install git+https://github.com/syedhamidali/PyScanCf.git ``` Or, to install in your home directory, use: ``` git clone https://github.com/syedhamidali/PyScanCf.git python setup.py install --user ``` Or, Install via pip: ``` pip install pyscancf ``` ## Citation ```{image} https://zenodo.org/badge/DOI/10.5281/zenodo.5881692.svg :target: https://doi.org/10.5281/zenodo.5574160 ``` Syed, H. A., Sayyed, I., Kalapureddy, M. C. R., & Grandhi, K. K. (2021). PyScanCf – The library for single sweep datasets of IMD weather radars. Zenodo. DOI:10.5281/zenodo.5574160. ## PyScanCf Tutorial on Youtube [https://youtu.be/OUrdhe5virA](https://youtu.be/OUrdhe5virA) ## Quick Usage Import Library: ``` import pyscancf as pcf import pyart import glob ``` Mention the data path: ``` inp = "../imd_temp_radar/B/" out = "../imd_temp_radar/out/" ``` Convert data to cfradial, and gridded format: ``` pcf.cfrad(input_dir=inp, output_dir=out, scan_type="B", gridder=True) ``` output: ``` Number of files: 20 Total number of files will be created: 2 Merging all scans in one file Data merging done Total Time Elapsed: 0:00:35.931653 ``` Plot Cappi: ``` files = glob.glob(out+"grid*") for file in files: grid = pyart.io.read_grid(file) pcf.plot_cappi(grid, "REF", cmap="pyart_HomeyerRainbow", #optional crosshair=False, #optional savedir=out) #optional ``` And you'll see the beautiful gridded data plot in your notebook, the figures will be saved in the directory from where you launched the notebook ![MAX-CAPPI](./_static/cappi.png) ## Latest Examples Notebooks