You can always update to the latest version of lasertram using pip:
pip install --upgrade lasertram
or install a specific version:
pip install lasertram==version-number
To check which version of lasertram you have installed:
pip show lasertram
Current and past maintainers of lasertram:
- Addresses reviewer comments from Issue !1 related to USGS internal code review
- updated syntax to reflect
pylintrecommendations (e.g., snake case variables, correct negation/equivalence referencing)
- transitioned to solely using a
pyproject.tomlrather than combination ofsetup.cfg+pyproject.toml
- fixed indexing issue in
despike_data
- added more coverage in tests to now include
get_secondary_standard_accuraciesanddespike_data
- added
lasertram.__version__
- 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
- Any attribute or method that references an internal standard uses
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 classLaserCalchelpers: holds the submodulesbatchandconversions, for batch processing and unit conversions, respectively.
An example folder structure for this is as follows:
└── 📁lasertram
└── 📁calc
└── calc.py
└── __init__.py
└── 📁helpers
└── batch.py
└── conversions.py
└── __init__.py
└── 📁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:
from lasertram import LaserTRAM, LaserCalc, batchor to import an entire module:
from from lasertram.helpers import batch, conversions- Fixed undeclared list instantiation in
LaserTRAM.despike().
- Fixed issue with
calculate_uncertainties()internal error calculation dropping the wrong terms
- 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.
- Updated Basic Usage page to reflect new uncertainty output implemented in
v0.0.10
- added support for both internal and external precision on output.
- Now on output uncertainties are displayed with column header suffixes as either
_exterrorinterrto reflect overall uncertainties that incorporate the uncertainty in the calibration standard accepted value or those that don't, respectively. The vast majority of use cases should utilize_exterrvalues unless one is comparing datasets processed with the same calibration standard.
- Now on output uncertainties are displayed with column header suffixes as either
- fixed type issue with internal standard compositions being defaulted to
int - fixed pandas indexing in
drift_check()to support future move to.iloc
- added support for both GUI (LaserTRAM-DB) and API (
lasertram.LaserTRAM) outputs to be used as inputs intolasertram.LaserCalc() - changed all naming instances of
calibration_standardtocalibration_std. Previously some there were a mix of attributes that had one or the other. Now anything that deals with the calibration standard (e.g.,self.calibration_std_stats) will always havecalibration_stdin the name for consistency.
- Fixed bug that overwrote and ignored omission interval in
LaserTRAM.normalize_interval() - Future proofed output report for deprecated pandas indexing. Now properly uses
.iloc - Fixed interval
dtypeinconsistencies so they are all typefloat64rather thanobject
- Added general motivation to documentation landing page
- Added required dependencies to
setup.cfg
- Fixed
omitted_regionbeing counted as experiment analyte
- fixed filepath issues and typos in Basic Useage tutorial
- moved all test data to
test_datafolder - created
testsfolder for future tests to be held - created
CHANGELOG.md
- First release of
lasertramfor public use.