MNT: fix some typos

rocketpy/environment/environment.py

@@ -95,7 +95,7 @@ class Environment:  # pylint: disable=too-many-public-methods
         True if the user already set a topographic profile. False otherwise.
     Environment.max_expected_height : float
         Maximum altitude in meters to keep weather data. The altitude must be
-        above sea level (ASL). Especially useful for controlling plottings.
+        above sea level (ASL). Especially useful for controlling plots.
         Can be altered as desired by doing `max_expected_height = number`.
     Environment.pressure_ISA : Function
         Air pressure in Pa as a function of altitude as defined by the
@@ -962,7 +962,7 @@ def set_atmospheric_model(  # pylint: disable=too-many-branches
 
             .. note::
 
-                Time referece for the Forecasts are:
+                Time reference for the Forecasts are:
 
                 - ``GFS``: `Global` - 0.25deg resolution - Updates every 6
                   hours, forecast for 81 points spaced by 3 hours

rocketpy/mathutils/function.py

@@ -1191,7 +1191,7 @@ def plot(self, *args, **kwargs):
             elif self.__dom_dim__ == 2:
                 self.plot_2d(*args, **kwargs)
             else:
-                print("Error: Only functions with 1D or 2D domains are plottable!")
+                print("Error: Only functions with 1D or 2D domains can be plotted.")
 
     def plot1D(self, *args, **kwargs):
         """Deprecated method, use Function.plot_1d instead."""
@@ -2614,8 +2614,8 @@ def isbijective(self):
             return len(distinct_map) == len(x_data_distinct) == len(y_data_distinct)
         else:
             raise TypeError(
-                "Only Functions whose source is a list of points can be "
-                "checked for bijectivity."
+                "`isbijective()` method only supports Functions whose "
+                "source is an array."
             )
 
     def is_strictly_bijective(self):
@@ -2667,8 +2667,8 @@ def is_strictly_bijective(self):
             return np.all(y_data_diff >= 0) or np.all(y_data_diff <= 0)
         else:
             raise TypeError(
-                "Only Functions whose source is a list of points can be "
-                "checked for bijectivity."
+                "`is_strictly_bijective()` method only supports Functions "
+                "whose source is an array."
             )
 
     def inverse_function(self, approx_func=None, tol=1e-4):
@@ -2678,8 +2678,9 @@ def inverse_function(self, approx_func=None, tol=1e-4):
         and only if F is bijective. Makes the domain the range and the range
         the domain.
 
-        If the Function is given by a list of points, its bijectivity is
-        checked and an error is raised if it is not bijective.
+        If the Function is given by a list of points, the method
+        `is_strictly_bijective()` is called and an error is raised if the
+        Function is not bijective.
         If the Function is given by a function, its bijection is not
         checked and may lead to inaccuracies outside of its bijective region.
 

rocketpy/simulation/monte_carlo.py

@@ -397,10 +397,10 @@ def __check_export_list(self, export_list):
                 "lateral_surface_wind",
             }
         )
-        # NOTE: exportables needs to be updated with Flight numerical properties
-        #       example: You added the property 'inclination' to Flight, so you may
-        #       need to add it to exportables as well. But don't add other types.
-        exportables = set(
+        # NOTE: this list needs to be updated with Flight numerical properties
+        #       example: You added the property 'inclination' to Flight.
+        #       But don't add other types.
+        can_be_exported = set(
             {
                 "inclination",
                 "heading",
@@ -456,7 +456,7 @@ def __check_export_list(self, export_list):
                     raise TypeError("Variables in export_list must be strings.")
 
                 # Checks if attribute is not valid
-                if attr not in exportables:
+                if attr not in can_be_exported:
                     raise ValueError(
                         f"Attribute '{attr}' can not be exported. Check export_list."
                     )