Utility functions for analyzing scientific data.
Project description
If your analysis and visualization workflow is some combination of pandas, numpy, scipy and matplotlib, it is likely that quantalyze can save you a lot of time. Quantalyze is a set of utility functions that facilitate the analysis of scientific data in the fields of quantum matter and correlated electron systems. Most of the operations are designed to work on pandas.DataFrame objects and functionality is pulled from a combination of numpy, scipy.
Non-domain-specific functionality is contained within the core module. Domain-specific utilities are contained within their respective modules and import from the core module. For example, the transport module contains a function that calculates the magnetoresistance from resistivity data taken in magnetic fields that pulls its functionality from core.smoothing (binning onto equally spaced x values) and core.symmetrization (the symmetrization in field).
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
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file quantalyze-0.1.7.tar.gz.
File metadata
- Download URL: quantalyze-0.1.7.tar.gz
- Upload date:
- Size: 178.3 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.7.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c9d91c54e493164ce051d503512ac41449a92fa86e06f018256f90e2bccf655f
|
|
| MD5 |
ddef691c137e95828ead57e1d0005dbc
|
|
| BLAKE2b-256 |
c8e40e550f42ba371be825fdc03373fe920758cc3b5221259c7ea451c5d85bc4
|
File details
Details for the file quantalyze-0.1.7-py3-none-any.whl.
File metadata
- Download URL: quantalyze-0.1.7-py3-none-any.whl
- Upload date:
- Size: 15.8 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: uv/0.7.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
78c848fc7d37950f9c655f0f4289ac6f0a842a9316abd3ab697e13ec913bb2e3
|
|
| MD5 |
b459e616d804df4abd4259a3813028ef
|
|
| BLAKE2b-256 |
087ca51f24e7808deb98213b2d6d8593bba12bd36399774e8ae8d7807586e171
|