Universal data analysis tools for atmospheric sciences

Overview

U_analysis

Universal data analysis tools for atmospheric sciences

Script written in python 3. This file defines multiple functions that can be used for data analysis, with an emphasis in atmospheric sciences. To use, just place it in the same directory as your code is and import it as any other module (import U_Analysis_main). For full functionality add the other files to the same directory).

Working in adding it to the python repository such that it can be imported using pip or conda...

This module has hundreds of functions (fairly well organized by theme) some specially useful functions are:

nc_show_variable_info (which shows all variables inside, their shape, and units, it can also give more info for specific variable)

p_plot(for general (1D arrays) time series or scatter plots, basically a general wrapper for matplotlib, can be used to plot over map if topographical files are present)

p_plot_arr(for general plotting of 2D arrays, where the horizontal and vertical arrays are also provided, basically a general wrapper for matplotlib, can be used to plot over map if topographical files are present)

p_plot_SkewT_sonde(for creating nice skewT plots, needs the skewT_module given below)

wrf_var_search(give it the wrf filename (or nc object) and a keyword and it will print all variables with the keyword in either the name or the description)

create_virtual_sonde_from_wrf(give it radiosonde data and a list of wrf output files and it will create a virtual sonde from wrf data that follows as closely as possible the real radiosonde (accounts for time passage and horizontal displacement)

calculate_mountain_height_from_era5(as the name implies)

calculate_mountain_height_from_WRF(as the name implies)

download_HIM8_2000m(give it the time stamp and the channel number and it gives you the array)

get_himawari8_2000m_NCI(same as above but it is meant to run on gadi, and just gets the desired array from the data for some time and channel)

era5_download_save(downloads era5 data from copernicus data store, just give it times you want and the variables you want and it will do the rest. it requires you to have an account and cdsapi installed)

hysplit_load_freq_endpoints(reads hysplit text files and converts to data arrays)

plot_hysplit_traj(plots hysplit trajectories from data arrays)

download_MSLP(give it the time and it downloads the MSLP chart from the BoM)

merge_multiple_netCDF_by_time_dimension(really useful, as the name implies)

netCDF_crop_timewise(when you don't need the whole file, creates a copy with only the desired time range in it)

plot_arr_over_map_nc(to create quick maps, like panoply, requires basemap)

You might also like...
Helper tools to construct probability distributions built from expert elicited data for use in monte carlo simulations.

Elicited Helper tools to construct probability distributions built from expert elicited data for use in monte carlo simulations. Credit to Brett Hoove

GWpy is a collaboration-driven Python package providing tools for studying data from ground-based gravitational-wave detectors

GWpy is a collaboration-driven Python package providing tools for studying data from ground-based gravitational-wave detectors. GWpy provides a user-f

Tools for working with MARC data in Catalogue Bridge.

catbridge_tools Tools for working with MARC data in Catalogue Bridge. Borrows heavily from PyMarc

A collection of robust and fast processing tools for parsing and analyzing web archive data.

ChatNoir Resiliparse A collection of robust and fast processing tools for parsing and analyzing web archive data. Resiliparse is part of the ChatNoir

Tools for analyzing data collected with a custom unity-based VR for insects.

unityvr Tools for analyzing data collected with a custom unity-based VR for insects. Organization: The unityvr package contains the following submodul

MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.
MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data.

MetPy MetPy is a collection of tools in Python for reading, visualizing and performing calculations with weather data. MetPy follows semantic versioni

Flenser is a simple, minimal, automated exploratory data analysis tool.

Flenser Have you ever been handed a dataset you've never seen before? Flenser is a simple, minimal, automated exploratory data analysis tool. It runs

Tablexplore is an application for data analysis and plotting built in Python using the PySide2/Qt toolkit.
Tablexplore is an application for data analysis and plotting built in Python using the PySide2/Qt toolkit.

Tablexplore is an application for data analysis and plotting built in Python using the PySide2/Qt toolkit.

Exploratory Data Analysis for Employee Retention Dataset

Exploratory Data Analysis for Employee Retention Dataset Employee turn-over is a very costly problem for companies. The cost of replacing an employee

Releases(v1.0.0)
Owner
Luis Ackermann
Atmospheric chemistry and physics scientist. Master's degree focused in Atmospheric Sciences and a Bachelor's in Physics both from the University of Houston.
Luis Ackermann
MEAD: A Large-scale Audio-visual Dataset for Emotional Talking-face Generation [ECCV2020]

MEAD: A Large-scale Audio-visual Dataset for Emotional Talking-face Generation [ECCV2020] by Kaisiyuan Wang, Qianyi Wu, Linsen Song, Zhuoqian Yang, Wa

112 Dec 28, 2022
WAL enables programmable waveform analysis.

This repro introcudes the Waveform Analysis Language (WAL). The initial paper on WAL will appear at ASPDAC'22 and can be downloaded here: https://www.

Institute for Complex Systems (ICS), Johannes Kepler University Linz 40 Dec 13, 2022
Pip install minimal-pandas-api-for-polars

Minimal Pandas API for Polars Install From PyPI: pip install minimal-pandas-api-for-polars Example Usage (see tests/test_minimal_pandas_api_for_polars

Austin Ray 6 Oct 16, 2022
pyETT: Python library for Eleven VR Table Tennis data

pyETT: Python library for Eleven VR Table Tennis data Documentation Documentation for pyETT is located at https://pyett.readthedocs.io/. Installation

Tharsis Souza 5 Nov 19, 2022
Wafer Fault Detection - Wafer circleci with python

Wafer Fault Detection Problem Statement: Wafer (In electronics), also called a slice or substrate, is a thin slice of semiconductor, such as a crystal

Avnish Yadav 14 Nov 21, 2022
🌍 Create 3d-printable STLs from satellite elevation data 🌏

mapa 🌍 Create 3d-printable STLs from satellite elevation data Installation pip install mapa Usage mapa uses numpy and numba under the hood to crunch

Fabian Gebhart 13 Dec 15, 2022
Detailed analysis on fraud claims in insurance companies, gives you information as to why huge loss take place in insurance companies

Insurance-Fraud-Claims Detailed analysis on fraud claims in insurance companies, gives you information as to why huge loss take place in insurance com

1 Jan 27, 2022
Two phase pipeline + StreamlitTwo phase pipeline + Streamlit

Two phase pipeline + Streamlit This is an example project that demonstrates how to create a pipeline that consists of two phases of execution. In betw

Rick Lamers 1 Nov 17, 2021
A 2-dimensional physics engine written in Cairo

A 2-dimensional physics engine written in Cairo

Topology 38 Nov 16, 2022
Calculate multilateral price indices in Python (with Pandas and PySpark).

IndexNumCalc Calculate multilateral price indices using the GEKS-T (CCDI), Time Product Dummy (TPD), Time Dummy Hedonic (TDH), Geary-Khamis (GK) metho

Dr. Usman Kayani 3 Apr 27, 2022
TE-dependent analysis (tedana) is a Python library for denoising multi-echo functional magnetic resonance imaging (fMRI) data

tedana: TE Dependent ANAlysis TE-dependent analysis (tedana) is a Python library for denoising multi-echo functional magnetic resonance imaging (fMRI)

136 Dec 22, 2022
VevestaX is an open source Python package for ML Engineers and Data Scientists.

VevestaX Track failed and successful experiments as well as features. VevestaX is an open source Python package for ML Engineers and Data Scientists.

Vevesta 24 Dec 14, 2022
MeSH2Matrix - A set of Python codes for the generation of biomedical ontologies from the MeSH keywords of the PubMed scholarly publications

A set of Python codes for the generation of biomedical ontologies from the MeSH keywords of the PubMed scholarly publications

SisonkeBiotik 6 Nov 30, 2022
Flood modeling by 2D shallow water equation

hydraulicmodel Flood modeling by 2D shallow water equation. Refer to Hunter et al (2005), Bates et al. (2010). Diffusive wave approximation Local iner

6 Nov 30, 2022
An implementation of the largeVis algorithm for visualizing large, high-dimensional datasets, for R

largeVis This is an implementation of the largeVis algorithm described in (https://arxiv.org/abs/1602.00370). It also incorporates: A very fast algori

336 May 25, 2022
pipeline for migrating lichess data into postgresql

How Long Does It Take Ordinary People To "Get Good" At Chess? TL;DR: According to 5.5 years of data from 2.3 million players and 450 million games, mo

Joseph Wong 182 Nov 11, 2022
Package for decomposing EMG signals into motor unit firings, as used in Formento et al 2021.

EMGDecomp Package for decomposing EMG signals into motor unit firings, created for Formento et al 2021. Based heavily on Negro et al, 2016. Supports G

13 Nov 01, 2022
Flexible HDF5 saving/loading and other data science tools from the University of Chicago

deepdish Flexible HDF5 saving/loading and other data science tools from the University of Chicago. This repository also host a Deep Learning blog: htt

UChicago - Department of Computer Science 255 Dec 10, 2022
PySpark Structured Streaming ROS Kafka ApacheSpark Cassandra

PySpark-Structured-Streaming-ROS-Kafka-ApacheSpark-Cassandra The purpose of this project is to demonstrate a structured streaming pipeline with Apache

Zekeriyya Demirci 5 Nov 13, 2022
Making the DAEN information accessible.

The purpose of this repository is to make the information on Australian COVID-19 adverse events accessible. The Therapeutics Goods Administration (TGA) keeps a database of adverse reactions to medica

10 May 10, 2022