Tools for the analysis, simulation, and presentation of Lorentz TEM data.

Related tags

Data Analysisltempy
Overview

ltempy

ltempy is a set of tools for Lorentz TEM data analysis, simulation, and presentation.

Features

  • Single Image Transport of Intensity Equation (SITIE) reconstruction
  • simulations - calculations of phase, B, A, image
  • basic image processing - high_pass, low_pass, clipping
  • a matplotlib.pyplot wrapper tailored to presenting induction maps and Lorentz data
  • an implementation of the CIELAB colorspace
  • module-wide unit scaling (i.e., working in nm rather than m)

Installation

python -m pip install ltempy

Documentation

Documentation is available at https://mcmorranlab.github.io/ltempy/.

Tests

Tests are split into two subdirectories:

  1. tests These are typical unit tests, that assert that functions return the right shape, beam parameters return the right values, etc. Run with pytest.
  2. devtests These are tests of the actual functionality, that require a trained eye to evaluate. Run as normal .py scripts.

The rationale for devtests is that this package is math-heavy, so it's highly possible for the code to run fine, but be wrong. The easiest way to test for this is to check base cases where the developer knows what to look for.

Owner
McMorran Lab
Custom software used by the McMorran Lab, University of Oregon Department of Physics
McMorran Lab
Ejercicios Panda usando Pandas

Readme Below we add configuration details to locally test your application To co

1 Jan 22, 2022
AWS Glue ETL Code Samples

AWS Glue ETL Code Samples This repository has samples that demonstrate various aspects of the new AWS Glue service, as well as various AWS Glue utilit

AWS Samples 1.2k Jan 03, 2023
Python script to automate the plotting and analysis of percentage depth dose and dose profile simulations in TOPAS.

topas-create-graphs A script to automatically plot the results of a topas simulation Works for percentage depth dose (pdd) and dose profiles (dp). Dep

Sebastian Schäfer 10 Dec 08, 2022
This mini project showcase how to build and debug Apache Spark application using Python

Spark app can't be debugged using normal procedure. This mini project showcase how to build and debug Apache Spark application using Python programming language. There are also options to run Spark a

Denny Imanuel 1 Dec 29, 2021
ELFXtract is an automated analysis tool used for enumerating ELF binaries

ELFXtract ELFXtract is an automated analysis tool used for enumerating ELF binaries Powered by Radare2 and r2ghidra This is specially developed for PW

Monish Kumar 49 Nov 28, 2022
Analyse the limit order book in seconds. Zoom to tick level or get yourself an overview of the trading day.

Analyse the limit order book in seconds. Zoom to tick level or get yourself an overview of the trading day. Correlate the market activity with the Apple Keynote presentations.

2 Jan 04, 2022
This repo contains a simple but effective tool made using python which can be used for quality control in statistical approach.

This repo contains a powerful tool made using python which is used to visualize, analyse and finally assess the quality of the product depending upon the given observations

SasiVatsal 8 Oct 18, 2022
Very basic but functional Kakuro solver written in Python.

kakuro.py Very basic but functional Kakuro solver written in Python. It uses a reduction to exact set cover and Ali Assaf's elegant implementation of

Louis Abraham 4 Jan 15, 2022
An orchestration platform for the development, production, and observation of data assets.

Dagster An orchestration platform for the development, production, and observation of data assets. Dagster lets you define jobs in terms of the data f

Dagster 6.2k Jan 08, 2023
Projeto para realizar o RPA Challenge . Utilizando Python e as bibliotecas Selenium e Pandas.

RPA Challenge in Python Projeto para realizar o RPA Challenge (www.rpachallenge.com), utilizando Python. O objetivo deste desafio é criar um fluxo de

Henrique A. Lourenço 1 Apr 12, 2022
Sentiment analysis on streaming twitter data using Spark Structured Streaming & Python

Sentiment analysis on streaming twitter data using Spark Structured Streaming & Python This project is a good starting point for those who have little

Himanshu Kumar singh 2 Dec 04, 2021
A model checker for verifying properties in epistemic models

Epistemic Model Checker This is a model checker for verifying properties in epistemic models. The goal of the model checker is to check for Pluralisti

Thomas Träff 2 Dec 22, 2021
A Streamlit web-app for a data-science project that aims to evaluate if the answer to a question is helpful.

How useful is the aswer? A Streamlit web-app for a data-science project that aims to evaluate if the answer to a question is helpful. If you want to l

1 Dec 17, 2021
Python for Data Analysis, 2nd Edition

Python for Data Analysis, 2nd Edition Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media Buy

Wes McKinney 18.6k Jan 08, 2023
Analyze the Gravitational wave data stored at LIGO/VIRGO observatories

Gravitational-Wave-Analysis This project showcases how to analyze the Gravitational wave data stored at LIGO/VIRGO observatories, using Python program

1 Jan 23, 2022
A script to "SHUA" H1-2 map of Mercenaries mode of Hearthstone

lushi_script Introduction This script is to "SHUA" H1-2 map of Mercenaries mode of Hearthstone Installation Make sure you installed python=3.6. To in

210 Jan 02, 2023
TextDescriptives - A Python library for calculating a large variety of statistics from text

A Python library for calculating a large variety of statistics from text(s) using spaCy v.3 pipeline components and extensions. TextDescriptives can be used to calculate several descriptive statistic

150 Dec 30, 2022
BigDL - Evaluate the performance of BigDL (Distributed Deep Learning on Apache Spark) in big data analysis problems

Evaluate the performance of BigDL (Distributed Deep Learning on Apache Spark) in big data analysis problems.

Vo Cong Thanh 1 Jan 06, 2022
Performance analysis of predictive (alpha) stock factors

Alphalens Alphalens is a Python Library for performance analysis of predictive (alpha) stock factors. Alphalens works great with the Zipline open sour

Quantopian, Inc. 2.5k Jan 09, 2023
Lale is a Python library for semi-automated data science.

Lale is a Python library for semi-automated data science. Lale makes it easy to automatically select algorithms and tune hyperparameters of pipelines that are compatible with scikit-learn, in a type-

International Business Machines 293 Dec 29, 2022