Add separated component field plotting

docs/photonics/examples/effective_area.py

@@ -95,7 +95,7 @@
 
         for mode in modes:
             if mode.tm_fraction > 0.5:
-                # mode.show(np.real(mode.E))
+                # mode.show("E", part="real")
                 print(f"Effective refractive index: {mode.n_eff:.4f}")
                 print(f"Effective mode area: {mode.calculate_effective_area(field='y'):.4f}")
                 print(f"Mode transversality: {mode.transversality}")

docs/photonics/examples/selecting_modes.py

@@ -124,7 +124,7 @@
 modes = compute_modes(basis0, epsilon, wavelength=wavelength, num_modes=4)
 
 for mode in modes:
-    mode.show(mode.E.real, direction="x")
+    mode.show("E", part="real")
 
 print(f"The effective index of the SiN mode is {np.real(modes[2].n_eff)}")
 
@@ -158,7 +158,7 @@
 modes = compute_modes(basis0, epsilon, wavelength=wavelength, num_modes=2)
 
 for mode in modes:
-    mode.show(mode.E.real, direction="x")
+    mode.show("E", part="real")
 
 print(f"The effective index of the SiN mode is {np.real(modes[0].n_eff)}")
 
@@ -180,7 +180,7 @@
 modes = compute_modes(basis0, epsilon, wavelength=wavelength, num_modes=2, n_guess=1.62)
 
 for mode in modes:
-    mode.show(mode.E.real, direction="x")
+    mode.show("E", part="real")
 
 print(f"The effective index of the SiN mode is {np.real(modes[1].n_eff)}")
 

docs/photonics/examples/waveguide_modes.py

@@ -83,20 +83,16 @@
 modes = compute_modes(basis0, epsilon, wavelength=wavelength, num_modes=2, order=2)
 for mode in modes:
     print(f"Effective refractive index: {mode.n_eff:.4f}")
-    mode.show(mode.E.real, colorbar=True, direction="x")
-    mode.show(mode.E.imag, colorbar=True, direction="x")
+    mode.show("E", part="real", colorbar=True)
+    mode.show("E", part="imag", colorbar=True)
 
 
 # %% [markdown]
 # The intensity can be plotted directly from the mode object
 # +
 
 # %%
-fig, ax = plt.subplots()
-modes[0].plot_intensity(ax=ax)
-plt.title("Normalized Intensity")
-plt.tight_layout()
-plt.show()
+modes[0].show("I", colorbar=True)
 
 # %% [markdown]
 # -

femwell/examples/coplanar_waveguide.py

@@ -127,7 +127,7 @@ def mesh_coax(filename, radius_inner, radius_outer):
     )
     print("propagation constants", 1 / modes.n_effs)
 
-    modes[0].show(modes[0].E.real, plot_vectors=True)
+    modes[0].show("E", part="real", plot_vectors=True, colorbar=True)
 
     from skfem import *
     from skfem.helpers import *
@@ -139,7 +139,7 @@ def current_form(w):
     currents = np.zeros((len(conductors), len(modes)))
 
     for mode_i, mode in enumerate(modes):
-        mode.show(mode.H.real, plot_vectors=True)
+        modes[0].show("H", part="real", plot_vectors=True, colorbar=True)
 
         (ht, ht_basis), (hz, hz_basis) = mode.basis.split(mode.H)
         for conductors_i, conductor in enumerate(conductors):

femwell/maxwell/waveguide.py

@@ -2,7 +2,8 @@
 
 from dataclasses import dataclass
 from functools import cached_property
-from typing import List, Tuple
+from typing import Callable, List, Literal, Optional, Tuple
+from warnings import warn
 
 import matplotlib.pyplot as plt
 import numpy as np
@@ -281,9 +282,142 @@ def plot(self, field, plot_vectors=False, colorbar=True, direction="y", title="E
             direction=direction,
         )
 
-    def show(self, field, **kwargs):
-        self.plot(field=field, **kwargs)
-        plt.show()
+    def plot_component(
+        self,
+        field: Literal["E", "H"],
+        component: Literal["x", "y", "z", "n", "t"],
+        part: Literal["real", "imag", "abs"] | Callable = "real",
+        boundaries: bool = True,
+        colorbar: bool = False,
+        ax: Axes = None,
+    ):
+        from mpl_toolkits.axes_grid1 import make_axes_locatable
+
+        if part == "real":
+            conv_func = np.real
+        elif part == "imag":
+            conv_func = np.imag
+        elif part == "abs":
+            conv_func = np.abs
+        elif isinstance(part, Callable):
+            conv_func = part
+        else:
+            raise ValueError("A valid part is 'real', 'imag' or 'abs'.")
+
+        if ax is None:
+            fig = plt.figure()
+            ax = fig.add_subplot(111)
+
+        if field == "E":
+            mfield = self.E
+        elif field == "H":
+            mfield = self.H
+        else:
+            raise ValueError("A valid field is 'E' or 'H'.")
+
+        (mfield_t, mfield_t_basis), (mfield_n, mfield_n_basis) = self.basis.split(mfield)
+
+        if component == "x" or component == "y":
+            plot_basis = mfield_t_basis.with_element(ElementVector(ElementDG(ElementTriP1())))
+            mfield_xy = plot_basis.project(mfield_t_basis.interpolate(conv_func(mfield_t)))
+            (mfield_x, mfield_x_basis), (mfield_y, mfield_y_basis) = plot_basis.split(mfield_xy)
+            if component == "x":
+                mfield_x_basis.plot(mfield_x, ax=ax, shading="gouraud")
+            else:
+                mfield_y_basis.plot(mfield_y, ax=ax, shading="gouraud")
+        elif component == "t":
+            plot_basis = mfield_t_basis
+            mfield_t_basis.plot(conv_func(mfield_t), ax=ax, shading="gouraud")
+        elif component == "z" or component == "n":
+            plot_basis = mfield_n_basis
+            mfield_z, mfield_z_basis = mfield_n, mfield_n_basis
+            mfield_z_basis.plot(conv_func(mfield_z), ax=ax, shading="gouraud")
+        else:
+            raise ValueError("A valid component is 'x', 'y', 'z', 'n' or 't'.")
+
+        if boundaries:
+            for subdomain in plot_basis.mesh.subdomains.keys() - {"gmsh:bounding_entities"}:
+                plot_basis.mesh.restrict(subdomain).draw(ax=ax, boundaries_only=True, color="k")
+        if colorbar:
+            divider = make_axes_locatable(ax)
+            cax = divider.append_axes("right", size="5%", pad=0.05)
+            plt.colorbar(ax.collections[-1], cax=cax)
+
+        ax.set_title(f"{field}{component} ({conv_func.__name__}. part)")
+
+        return ax
+
+    # def show(
+    #     self,
+    #     field: Literal["E", "H"] ,
+    #     part: Literal["real", "imag", "abs"] = "real",
+    #     boundaries: bool = True,
+    #     colorbar: bool = False,
+    # ):
+    #     fig, axs = plt.subplots(1, 3, subplot_kw=dict(aspect=1))
+
+    #     for id_ax, comp in enumerate("xyz"):
+    #         self.plot_component(field, comp, part, boundaries, colorbar, axs[id_ax])
+    #     plt.tight_layout()
+    #     plt.show()
+
+    def show(
+        self,
+        field: Literal["E", "H", "I"] | NDArray,
+        part: Literal["real", "imag", "abs"] | Callable = "real",
+        plot_vectors: bool = False,
+        boundaries: bool = True,
+        colorbar: bool = False,
+        direction: Literal["x", "y"] = "x",
+        title: Optional[str] = None,
+    ):
+        """Plots the different quantities associated with a field.
+
+        Args:
+            field ("E", "H", "I"): Field of interest, can be the electric field, the magnetic field or the intensity of the mode.
+            part ("real", "imag", "abs", callable): Function to use to preprocess the field to be plotted. Defaults to "real".
+            plot_vectors (bool): If set to True, plot the normal and tangential component
+            boundaries (bool): Superimpose the mesh boundaries on the plot. Defaults to True.
+            colorbar (bool): Adds a colorbar to the plot. Defaults to False.
+            direction ("x", "y"): Orientation of the plots ("x" for horizontal and "y" for vertical) Defaults to "x".
+        Returns:
+            Tuple[Figure, Axes]: Figure and axes of the plot.
+        """
+        if type(field) is np.ndarray:
+            warn(
+                "The behavior of passing an array directly to `show` "
+                + "is deprecated and will be removed in the future. "
+                + "Use `plot` instead.",
+                DeprecationWarning,
+                stacklevel=2,
+            )
+            self.plot(field, plot_vectors, colorbar, direction, title)
+            plt.show()
+        else:
+            from mpl_toolkits.axes_grid1 import make_axes_locatable
+
+            if plot_vectors is True:
+                if field == "I":
+                    return ValueError(
+                        "'plot_vectors' is used to plot the tangential components "
+                        + "of a field. Thus it can be used only with 'E' or 'H'."
+                    )
+                rc = (2, 1) if direction != "x" else (1, 2)
+                fig, axs = plt.subplots(*rc, subplot_kw=dict(aspect=1))
+
+                self.plot_component(field, "t", part, boundaries, colorbar, axs[0])
+                self.plot_component(field, "n", part, boundaries, colorbar, axs[1])
+            elif field == "I":
+                fig, ax = self.plot_intensity(ax=None, colorbar=colorbar)
+                ax.set_title(f"Intensity")
+            else:
+                rc = (3, 1) if direction != "x" else (1, 3)
+                fig, axs = plt.subplots(*rc, subplot_kw=dict(aspect=1))
+
+                for id_ax, comp in enumerate("xyz"):
+                    self.plot_component(field, comp, part, boundaries, colorbar, axs[id_ax])
+            plt.tight_layout()
+            plt.show()
 
     def plot_intensity(
         self,