v0.0.1

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "AdsorptionBreakthroughAnalysis"
-version = "0.0.2"
+version = "0.0.1"
 authors = [
   { name="Daniel Maroto-Andresen", email="[email protected]" },
 ]
@@ -28,5 +28,5 @@ dependencies = [
 ]
 
 [project.urls]
-"Homepage" = "https://github.com/dm937/AdsorptionBreakthroughAnalysis"
-"Bug Tracker" = "https://github.com/dm937/AdsorptionBreakthroughAnalysis/issues"
+"Homepage" = "https://github.com/dm937/Adsorption_Breakthrough_Analysis"
+"Bug Tracker" = "https://github.com/dm937/Adsorption_Breakthrough_Analysis/issues"

src/AdsorptionBreakthroughAnalysis.egg-info/PKG-INFO

@@ -1,6 +1,6 @@
 Metadata-Version: 2.1
 Name: AdsorptionBreakthroughAnalysis
-Version: 0.0.2
+Version: 0.0.1
 Summary: For analysis of a breakthrough curve from the RCCS breakthrough rig. Coriolis flow meter analysis included.
 Author-email: Daniel Maroto-Andresen <[email protected]>
 License: Copyright (c) 2008-present Daniel Maroto-Andresen
@@ -23,42 +23,11 @@ License: Copyright (c) 2008-present Daniel Maroto-Andresen
         LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
         OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
         WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
-Project-URL: Homepage, https://github.com/dm937/AdsorptionBreakthroughAnalysis
-Project-URL: Bug Tracker, https://github.com/dm937/AdsorptionBreakthroughAnalysis/issues
+Project-URL: Homepage, https://github.com/dm937/Adsorption_Breakthrough_Analysis
+Project-URL: Bug Tracker, https://github.com/dm937/Adsorption_Breakthrough_Analysis/issues
 Classifier: Programming Language :: Python :: 3
 Classifier: License :: OSI Approved :: MIT License
 Classifier: Operating System :: OS Independent
 Requires-Python: >=3.8
 Description-Content-Type: text/plain
 License-File: LICENSE
-
-# Adsorption Breakthrough Analysis 
-
-This program is used to analyse the breakthrough curves generated by adsorption in the rig created by Dr E.G (in the lab as of 1st of September 2022).
-
-The folders include:
-
-* Code
-  * Contains the python script
-* Explaining program 
-  * This contains a jupyter notebook explaining how to use the Python script and some extra information if neeeded
-* Generating results
-  * Contains a simple jupyter notebook with the essentials needed to run and produce the required outputs
-
-## Usage 
-
-The program takes in MS and coriolis readings and then creates a dataframe containing only the relevant breakthrough data
-
-This is done by the use of classes. Each part of the experiment will be an object containing the related data. for example 14%_CO2_UiO66_sample may be one object.
-
-To create the object setup the ExperimentalSetup dictionary with the relevant values and the MS and coriolis files must be in the same folder and inputted to the ExperimentalSetup aswell. The object is then created by calling the class and inputting the relevant conditions.
-
-Once a blank and sample object are created you can call the standard output function in order to produce the standard set of results.
-
-This is all explained further (with functions/methods called in code cells) in the "Explaining program" notebook
-
-## Acknowledgements
-
-This work is part of the PrISMa Project (299659), funded through the ACT Programme (Accelerating CCS Technologies, Horizon 2020 Project 294766). Financial contributions from the Department for Business, Energy & Industrial Strategy (BEIS) together with extra funding from the NERC and EPSRC Research Councils, United Kingdom, the Research Council of Norway (RCN), the Swiss Federal Office of Energy (SFOE), and the U.S. Department of Energy are gratefully acknowledged. Additional financial support from TOTAL and Equinor is also gratefully acknowledged.
-
-

src/AdsorptionBreakthroughAnalysis.egg-info/SOURCES.txt

@@ -1,5 +1,5 @@
 LICENSE
-README.txt
+README.md
 pyproject.toml
 src/AdsorptionBreakthroughAnalysis/__init__.py
 src/AdsorptionBreakthroughAnalysis/breakthrough_analysis.py