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-7.10.5.tar.gz (613.6 kB view details)

Uploaded Source

Built Distribution

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

peakpo-7.10.5-py3-none-any.whl (638.9 kB view details)

Uploaded Python 3

File details

Details for the file peakpo-7.10.5.tar.gz.

File metadata

  • Download URL: peakpo-7.10.5.tar.gz
  • Upload date:
  • Size: 613.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.2

File hashes

Hashes for peakpo-7.10.5.tar.gz
Algorithm Hash digest
SHA256 996d54a29ffc9aa733e25d75d862545710e78ae6fccdc45c47147ffb31be7662
MD5 13636060502b588b4ff940f58af3ed07
BLAKE2b-256 8c76d0f37e02f6c47eabc717a0fb00ffbf4c0ce679ebac22a5d320fc9d1f0e71

See more details on using hashes here.

File details

Details for the file peakpo-7.10.5-py3-none-any.whl.

File metadata

  • Download URL: peakpo-7.10.5-py3-none-any.whl
  • Upload date:
  • Size: 638.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.2

File hashes

Hashes for peakpo-7.10.5-py3-none-any.whl
Algorithm Hash digest
SHA256 9e8bd4d4035cb5396b9a7d9364844d3b906ea5027452914279473700e17b6a88
MD5 b31b4a7a974b444e7983cbef43646845
BLAKE2b-256 033c55408dbd17478a4c9f1fb5c3204677baeb8b14c849aa3e9d57b1900e107a

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