formatting/typing

src/pygaps/characterisation/area_bet.py

@@ -196,7 +196,7 @@ def area_BET(isotherm, branch='ads', limits=None, verbose=False):
         'bet_slope': slope,
         'bet_intercept': intercept,
         'corr_coef': corr_coef,
-        'limits': [minimum, maximum]
+        'limits': (minimum, maximum)
     }
 
 

src/pygaps/characterisation/area_langmuir.py

@@ -161,7 +161,7 @@ def area_langmuir(isotherm, branch='ads', limits=None, verbose=False):
         'langmuir_slope': slope,
         'langmuir_intercept': intercept,
         'corr_coef': corr_coef,
-        'limits': [minimum, maximum]
+        'limits': (minimum, maximum)
     }
 
 

src/pygaps/characterisation/isosteric_enthalpy.py

@@ -130,9 +130,12 @@ def isosteric_enthalpy(
         ) for iso in isotherms
     ]).T
 
-    iso_enthalpy, slopes, correlation, std_errs = isosteric_enthalpy_raw(
-        pressures, temperatures
-    )
+    (
+        iso_enthalpy,
+        slopes,
+        correlation,
+        std_errs,
+    ) = isosteric_enthalpy_raw(pressures, temperatures)
 
     if verbose:
         isosteric_enthalpy_plot(loading, iso_enthalpy, std_errs)

src/pygaps/characterisation/psd_mesoporous.py

@@ -2,10 +2,12 @@
 Methods of calculating a pore size distribution for pores in the mesopore range
 (2-100 nm), based on the Kelvin equation and pore condensation/evaporation.
 """
+import typing as t
 
 import numpy
 
 from ..core.adsorbate import Adsorbate
+from ..core.baseisotherm import BaseIsotherm
 from ..graphing.calc_graphs import psd_plot
 from ..utilities.exceptions import CalculationError
 from ..utilities.exceptions import ParameterError
@@ -19,14 +21,14 @@
 
 
 def psd_mesoporous(
-    isotherm,
-    psd_model='pygaps-DH',
-    pore_geometry='cylinder',
-    branch='des',
-    thickness_model='Harkins/Jura',
-    kelvin_model='Kelvin',
-    p_limits=None,
-    verbose=False
+    isotherm: BaseIsotherm,
+    psd_model: str = 'pygaps-DH',
+    pore_geometry: str = 'cylinder',
+    branch: str = 'des',
+    thickness_model: str = 'Harkins/Jura',
+    kelvin_model: str = 'Kelvin',
+    p_limits: t.Optional[t.Tuple[float, float]] = None,
+    verbose: bool = False
 ):
     r"""
     Calculate the mesopore size distribution.

src/pygaps/characterisation/psd_microporous.py

@@ -29,7 +29,7 @@ def psd_microporous(
     branch: str = 'ads',
     material_model: str = 'Carbon(HK)',
     adsorbate_model: str = None,
-    p_limits: t.List[float] = None,
+    p_limits: t.Optional[t.Tuple[float, float]] = None,
     verbose: bool = False
 ) -> t.Mapping:
     r"""

src/pygaps/graphing/calc_graphs.py

@@ -490,7 +490,6 @@ def isosteric_enthalpy_plot(
         ax.xaxis.set_major_locator(
             plt.ticker.LogLocator(base=10.0, numticks=15, numdecs=20)
         )
-    ax.set_title("Isosteric enthalpy", **TITLE_STYLE)
     ax.set_xlabel(r'Loading [$mmol\/g^{-1}$]', **LABEL_STYLE)
     ax.set_ylabel(r'Isosteric enthalpy [$kJ\/mol^{-1}$]', **LABEL_STYLE)
     ax.legend(loc='best', **LEGEND_STYLE)