Utilities#
Isotherm interpolator#
A class used for isotherm interpolation.
- class pygaps.utilities.isotherm_interpolator.IsothermInterpolator(known_data, interp_data, interp_branch='ads', interp_kind='linear', interp_fill=None)[source]#
Class used to interpolate between isotherm points.
Call directly to use.
It is mainly a wrapper around scipy.interpolate.interp1d.
- Parameters:
interp_type (str) -- What variable the interpolator works on (pressure, loading etc).
known_data (str) -- The values corresponding to the input variable.
interp_data (str) -- The values corresponding to the variable to be interpolated.
interp_branch (str, optional) -- Stores which isotherm branch the interpolator is based on.
interp_kind (str, optional) -- Determine which kind of interpolation is done between the datapoints.
interp_fill (str, optional) -- The parameter passed to the scipy.interpolate.interp1d function to determine what to do outside data bounds.
Thermodynamic backend utilities#
Utilities for interacting with the CoolProp backend.
- pygaps.utilities.coolprop_utilities.COOLPROP_BACKEND = 'HEOS'#
The backend which CoolProp uses, normally either HEOS or REFPROP.
Python utilities#
Collections of various python utilities.
- pygaps.utilities.python_utilities.grouped(iterable, n)[source]#
Divide an iterable in subgroups of max n elements.
Exceptions#
Custom errors thrown by the program.
Math utilities#
Function-independent mathematical calculations.
- pygaps.utilities.math_utilities.split_ads_data(data, pressure_key)[source]#
Find the inflection in an adsorption dataset with adsorption/desorption.
- pygaps.utilities.math_utilities.find_limit_indices(array: list, limits: tuple[float, float] = None, smallest_selection: int = 3)[source]#
Find the indices of an array limits
- pygaps.utilities.math_utilities.find_linear_sections(xdata, ydata)[source]#
Find all sections of a curve which are linear.
- pygaps.utilities.math_utilities.bspline(xs, ys, n=100, degree=2, periodic=False)[source]#
Calculate n samples on a b-spline.
Adapted from: https://stackoverflow.com/questions/24612626/b-spline-interpolation-with-python
- Parameters:
xs (array) -- X points of the curve to fit
ys (array) -- Y points of the curve to fit
n (int) -- Number of samples to return
degree (int) -- Curve degree
periodic (bool) -- True - Curve is closed False - Curve is open
String processing utilities#
General functions for string transformations.
- pygaps.utilities.string_utilities.convert_chemformula_ltx(string: str) str [source]#
Convert a chemical formula string to a matplotlib parsable format (latex).
- Parameters:
string or Adsorbate (str) -- String to process.
- Returns:
str -- Processed string.
- pygaps.utilities.string_utilities.convert_unit_ltx(string: str, negative: bool = False) str [source]#
Convert a unit string to a nice matplotlib parsable format (latex).
- Parameters:
string (str) -- String to process.
negative (bool) -- Whether the power is negative instead.
- Returns:
str -- Processed string.
SQLite utilities#
General functions for SQL query building.
- pygaps.utilities.sqlite_utilities.db_execute_general(statement: str, pth: str, verbose: bool = False)[source]#
Execute general SQL statements.
- Parameters:
statement (str) -- SQL statement to execute.
pth (str) -- Path where the database is located.
verbose (bool) -- Print out extra information.
- pygaps.utilities.sqlite_utilities.build_update(table: str, to_set: list, where: list, prefix: str | None = None)[source]#
Build an update request.
- Parameters:
table (str) -- Table where query will be directed.
to_set (iterable) -- The list of columns to update.
where (iterable) -- The list of conditions to constrain the query.
prefix (str, optional) -- The prefix to introduce to the second part of the constraint.
- Returns:
str -- Built query string.
- pygaps.utilities.sqlite_utilities.build_insert(table: str, to_insert: list)[source]#
Build an insert request.
- Parameters:
table (str) -- Table where query will be directed.
to_insert (iterable) -- The list of columns where the values will be inserted.
- Returns:
str -- Built query string.
- pygaps.utilities.sqlite_utilities.build_select(table: str, to_select: list, where: list | None = None)[source]#
Build a select request.
- Parameters:
table (str) -- Table where query will be directed.
to_set (iterable) -- The list of columns to select.
where (iterable) -- The list of conditions to constrain the query.
- Returns:
str -- Built query string.
- pygaps.utilities.sqlite_utilities.build_select_unnamed(table: str, to_select: list, where: list, join: str = 'AND')[source]#
Build an select request with multiple parameters.
- Parameters:
table (str) -- Table where query will be directed.
to_set (iterable) -- The list of columns to select
where (iterable) -- The list of conditions to constrain the query.
join (str) -- The joining clause of the parameters.
- Returns:
str -- Built query string.
- pygaps.utilities.sqlite_utilities.build_delete(table: str, where: list)[source]#
Build a delete request.
- Parameters:
table (str) -- Table where query will be directed.
where (iterable) -- The list of conditions to constrain the query.
- Returns:
str -- Built query string.
- pygaps.utilities.sqlite_utilities.check_SQL_bool(val)[source]#
Check if a value is a bool. Useful for storage.
- pygaps.utilities.sqlite_utilities.check_SQL_python_type(val)[source]#
Convert between the database string dtype and a python data type.
- pygaps.utilities.sqlite_utilities.find_SQL_python_type(val)[source]#
Convert between a python data type and a database string.
Generate the default sqlite database.
- pygaps.utilities.sqlite_db_creator.db_create(path: str, verbose: bool = False)[source]#
Create the entire database.
- Parameters:
path (str) -- Path where the database is created.
verbose (bool) -- Print out extra information.
All sql pragmas to generate the sqlite database.