Lasertram

Latest version: v0.1.3

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0.1.2

:bug: Bug Fixes

- fixed indexing issue in `despike_data`

:books: Documentation

- added more coverage in tests to now include `get_secondary_standard_accuracies` and `despike_data`

0.1.1

:books: Documentation

- added `lasertram.__version__`

:tada:

- changed naming of all functions that refer to standards for consistency
- Any attribute or method that references an internal standard uses `int_std`
- Any attribute or method that references the calibration standard uses `calibration_std`

0.1.0

:art: :tada: :mega: Code structure change

A re-organization of the package structure was completed to set up for further growth. This has created the following modules for `lasertram`:

- `tram`: holds the class 'LaserTRAM`
- `calc`: holds the class `LaserCalc`
- `helpers`: holds the submodules `batch` and `conversions`, for batch processing and unit conversions, respectively.

An example folder structure for this is as follows:



└── πŸ“lasertram
└── πŸ“calc
└── calc.py
└── __init__.py
└── πŸ“helpers
└── batch.py
└── conversions.py
└── __init__.py
└── πŸ“tram
└── tram.py
└── __init__.py
└── __init__.py

The only real effect on the user is the change in import statements to now be the following:
python
from lasertram import LaserTRAM, LaserCalc, batch

or to import an entire module:
python
from from lasertram.helpers import batch, conversions

0.0.13

:bug: Bug Fixes

- Fixed undeclared list instantiation in `LaserTRAM.despike()`.

0.0.12

:bug: Bug Fixes

- Fixed issue with `calculate_uncertainties()` internal error calculation dropping the wrong terms

0.0.11

:bug: Bug Fixes

- Fixed issue in `drift_check()` where data do not have a timestamp and the index of analysis was being treated as a pandas Series. It is now a numpy array for consistency and better compatibility with the statsmodels package.
- Updated analyte indexing for regex deprecation warning related to string literals.

:books: Documentation

- Updated Basic Usage page to reflect new uncertainty output implemented in `v0.0.10`

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