Skip to main content

X-ray diffraction analysis for high pressure science

Project description

PeakPo

DOI

PeakPo is a Python application for X-ray diffraction analysis of samples at high pressure and high temperature.

Major features include:

  • Pressure and temperature estimation
  • Phase identification
  • Two-dimensional data analysis
  • Visual equation-of-state fitting
  • Peak fitting
  • Visual unit-cell fitting
  • Generation of Excel files containing all calculation results

How to install

For PeakPo 7.10.x, use a separate environment from PeakPo 7.9.x.

If you already installed PeakPo 7.9.x with pip in an environment named peakpo, rename that environment to pkpo709 first:

conda create -n pkpo709 --clone peakpo -y
conda remove -n peakpo --all -y

Then create a new environment for PeakPo 7.10.x:

conda create -n pkpo710 python=3.11 -y

Activate pkpo710:

conda activate pkpo710

Install PeakPo 7.10.x:

python -m pip install --upgrade pip
python -m pip install peakpo

Upgrading from 7.9.x to 7.10.x

PeakPo 7.9.x is based on PyQt5, while PeakPo 7.10.x is based on PyQt6.

Because of this Qt transition, do not upgrade in-place in your old 7.9.x environment. Keep 7.9.x in pkpo709, and install 7.10.x in pkpo710.

Recommended setup:

conda create -n pkpo709 --clone peakpo -y
conda remove -n peakpo --all -y
conda create -n pkpo710 python=3.11 -y
conda activate pkpo710
python -m pip install --upgrade pip
python -m pip install peakpo

Use environments like this:

conda activate pkpo709   # old 7.9.x
conda activate pkpo710   # new 7.10.x

How to upgrade

Upgrade inside the target environment:

conda activate pkpo710
python -m pip install --upgrade --upgrade-strategy eager peakpo

How to reinstall

Reinstall inside the target environment:

conda activate pkpo710
python -m pip install --force-reinstall peakpo

How to run PeakPo (pip install)

Activate the environment where peakpo is installed:

conda activate pkpo710

Run PeakPo:

peakpo

If the peakpo command is not found, run:

python -m peakpo

How to install before 7.9.x

Installation wiki page

Installation Google Slides

Where to download executables

I no longer provide executable files. You can still download previous versions from this Google Drive folder.

Where to get help

See the PeakPo wiki for detailed instructions on installation, setup, operation, and updates.

How to cite

S.-H. Shim (2017). PeakPo: A Python software package for X-ray diffraction analysis at high pressure and high temperature. Zenodo. https://doi.org/10.5281/zenodo.810199

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

peakpo-7.10.12.tar.gz (633.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

peakpo-7.10.12-py3-none-any.whl (653.2 kB view details)

Uploaded Python 3

File details

Details for the file peakpo-7.10.12.tar.gz.

File metadata

  • Download URL: peakpo-7.10.12.tar.gz
  • Upload date:
  • Size: 633.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.13

File hashes

Hashes for peakpo-7.10.12.tar.gz
Algorithm Hash digest
SHA256 de2b9324de6f23695c6b50706f93f77a33956067150348027f64b00d4afa0103
MD5 962578e05418c0c4f9e094c364727ecf
BLAKE2b-256 b7b1489e3985de5b97122fdbca91fa517eac16b519f61d054c2ef1884680a2dc

See more details on using hashes here.

File details

Details for the file peakpo-7.10.12-py3-none-any.whl.

File metadata

  • Download URL: peakpo-7.10.12-py3-none-any.whl
  • Upload date:
  • Size: 653.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.12.13

File hashes

Hashes for peakpo-7.10.12-py3-none-any.whl
Algorithm Hash digest
SHA256 cc0fa0de0961da11e617f727e05c69eb8e2b9ea8e168635e58f4a88a169e3751
MD5 ef116f54137f799522eb6616f71d2d41
BLAKE2b-256 2d6f16124c2fbdf3cbebacbc1ccc029691789bec4956014e6d54c0d06bb108d3

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page