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
Data Science Environment Setup in single line

datascienv is package that helps your to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

Ashish Patel 55 Dec 16, 2022
A notebook to analyze Amazon Recommendation Review Dataset.

Amazon Recommendation Review Dataset Analyzer A notebook to analyze Amazon Recommendation Review Dataset. Features Calculates distinct user count, dis

isleki 3 Aug 22, 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
Hatchet is a Python-based library that allows Pandas dataframes to be indexed by structured tree and graph data.

Hatchet Hatchet is a Python-based library that allows Pandas dataframes to be indexed by structured tree and graph data. It is intended for analyzing

Lawrence Livermore National Laboratory 14 Aug 19, 2022
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
Py-price-monitoring - A Python price monitor

A Python price monitor This project was focused on Brazil, so the monitoring is

Samuel 1 Jan 04, 2022
Data analysis and visualisation projects from a range of individual projects and applications

Python-Data-Analysis-and-Visualisation-Projects Data analysis and visualisation projects from a range of individual projects and applications. Python

Tom Ritman-Meer 1 Jan 25, 2022
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

GWpy 342 Jan 07, 2023
A crude Hy handle on Pandas library

Quickstart Hyenas is a curde Hy handle written on top of Pandas API to allow for more elegant access to data-scientist's powerhouse that is Pandas. In

Peter Výboch 4 Sep 05, 2022
Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.

Stock Statistics/Indicators Calculation Helper VERSION: 0.3.2 Introduction Supply a wrapper StockDataFrame based on the pandas.DataFrame with inline s

Cedric Zhuang 1.1k Dec 28, 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
CSV database for chihuahua (HUAHUA) blockchain transactions

super-fiesta Shamelessly ripped components from https://github.com/hodgerpodger/staketaxcsv - Thanks for doing all the hard work. This code does only

Arlene Macciaveli 1 Jan 07, 2022
Python package for processing UC module spectral data.

UC Module Python Package How To Install clone repo. cd UC-module pip install . How to Use uc.module.UC(measurment=str, dark=str, reference=str, heade

Nicolai Haaber Junge 1 Oct 20, 2021
Hangar is version control for tensor data. Commit, branch, merge, revert, and collaborate in the data-defined software era.

Overview docs tests package Hangar is version control for tensor data. Commit, branch, merge, revert, and collaborate in the data-defined software era

Tensorwerk 193 Nov 29, 2022
In this tutorial, raster models of soil depth and soil water holding capacity for the United States will be sampled at random geographic coordinates within the state of Colorado.

Raster_Sampling_Demo (Resulting graph of this demo) Background Sampling values of a raster at specific geographic coordinates can be done with a numbe

2 Dec 13, 2022
Tkinter Izhikevich Neuron Model With Python

TKINTER IZHIKEVICH NEURON MODEL WITH PYTHON Hodgkin-Huxley Model It is a mathematical model for the generation and transmission of action potentials i

Rabia KOÇ 8 Jul 16, 2022
PLStream: A Framework for Fast Polarity Labelling of Massive Data Streams

PLStream: A Framework for Fast Polarity Labelling of Massive Data Streams Motivation When dataset freshness is critical, the annotating of high speed

4 Aug 02, 2022
Collections of pydantic models

pydantic-collections The pydantic-collections package provides BaseCollectionModel class that allows you to manipulate collections of pydantic models

Roman Snegirev 20 Dec 26, 2022
Integrate bus data from a variety of sources (batch processing and real time processing).

Purpose: This is integrate bus data from a variety of sources such as: csv, json api, sensor data ... into Relational Database (batch processing and r

1 Nov 25, 2021
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