Calculate the Molecular Weight from an arbitrary chemical formula as a string, and processes PHREEQC databases into programmable JSON files.
Project description
The molecular weight (MW) can be algebraically calculated from any chemical formula that adheres to chemical conventions.
The ChemMW object of ChemW parses a chemical formula string – which consists of any combination of elements, however sensible or outrageous – and precisely calculates the MW of the chemical formula, based upon the current physical accuracy that is embedded in the periodic_table dictionary of the chemicals module.
The PHREEQdb object of ChemW parses a PHREEQ database via the ChemMW object. The object exports a JSON file that consolidate the elements and minerals, and importantly mineral masses, of the database. This unique application of the ChemMW object has been applied as the pivotal means of predicting the mass of mineral scaling in the ROSSpy module for reverse osmosis research.
The ChemW module is offered with the MIT License. Examples of the module are available in the examples directory of the ChemW GitHub repository. Please submit errors or inaccuracies as GitHub issues so that they may be resolved.
installation
The following command installs ChemW in a command prompt/terminal environment:
pip install chemw
ChemMW
__init__
The data environment, in a Python IDE, is defined:
import chemw
chem_mw = chemw.ChemMW(verbose = False, printing = True)
verbose & printing bool: specifies whether troubleshooting information or MW results will be printed, respectively.
mass()
The parameterized data is fitted to the Hill equation, with the following arguments and their default values:
chem_mw.mass(formula)
formula str: parameterizes the chemical formula for which the MW is desired. The acceptable formats for the formula are quite broad, which are exemplified in the following formulae:
Example chemical |
Format option |
---|---|
'C60_H120_O2' |
Underscores can arbitrarily separate content, since these are ignored by ChemMW. |
'Na2.43_Cl_(OH)2_(OH)1.2_(OH)' |
|
'Na2.43Cl(Ca(OH)2)1.2' |
Chemical groups can be nested, with differing stoichiometric values. |
'Na2.43Cl:2H2O' |
|
'Na.96Al.96Si2.04O6:H2O' |
|
'Na2SO4:3K2SO4' |
Non-water entities can be complexed. |
'CaCl2:(MgCl2)2:12H2O' |
Multiple complexations can be applied with repeated : separators. |
'Ca1.019Na.136K.006Al2.18Si6.82O18:7.33H2O' |
The complexity, while remaining within the aforementioned format, is arbitrary. |
Accessible content
The ChemMW object retains numerous components that are accessible to the user:
mw float: The MW of the parameterized chemical formula.
proportions dict: The ratio of elements in the chemical formula. This loses accuracy with the grouped elements, and is being improved.
formula str: The original chemical formula as a string.
groups int: A numerical counter for the quantity of chemical groups that are
group_masses dict: A dictionary for the masses of each nesting level in a molecule.
PHREEQdb
__init__
The data environment, in a Python IDE, is defined:
import chemw
phreeq_db = chemw.PHREEQdb(output_path = None, verbose = False, printing = False)
output_path str: optionally specifies an path to where the processed PHREEQ database file will be exported, where None selects the current working directory.
verbose & printing bool: optionally specifies whether progress or results of the calculations, respectively, are printed. The former is valuable for troubleshooting while the latter is beneficial for reviewing a readout summary of the calculations.
process()
A PHREEQ database file is processed into a JSON file of the elements and minerals, with their respective formula and MW:
phreeq_db.process(db_path)
db_path str: The path to where the .dat PHREEQ database file that will be processed.
Accessible content
The PHREEQdb object retains numerous components that are accessible to the user:
db_name str: The name of the database that is parsed in the process() function.
db, minerals, & elements Pandas.DataFrame: The entire PHREEQ database and the minerals and elements of the PHREEQ database, respectively, expressed in a Pandas Database object, and organized with labeled columns of the content.
chem_mw ChemMW: An instance of the ChemMW object is loaded, which allows the user to access the ChemMW module through the PHREEQdb module.
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