Implement subplots for tikzfigure backend

README.qmd

@@ -41,12 +41,36 @@ Plot the figure with the default (matplotlib) backend:
 canvas.show()
 ```
 
-Alternatively, plot with the TikZ backend (not done yet):
+Alternatively, plot with the TikZ backend:
 
 ```{python}
 canvas.show(backend="tikzfigure")
 ```
 
+### Horizontal Subplots with TikZ Backend
+
+The tikzfigure backend supports creating side-by-side subplots (1×n layouts):
+
+```{python}
+#| label: fig-showcase-subplots
+#| fig-width: 9
+#| fig-height: 6
+
+x = np.linspace(0, 2 * np.pi, 200)
+canvas, (ax1, ax2) = Canvas.subplots(ncols=2, width="10cm", ratio=0.3)
+
+ax1.plot(x, np.sin(x), color="royalblue")
+ax1.set_title("sin(x)")
+
+ax2.plot(x, np.cos(x), color="tomato")
+ax2.set_title("cos(x)")
+
+canvas.suptitle("Trigonometric Functions")
+canvas.show(backend="tikzfigure")  # Generates LaTeX subfigures
+```
+
+**Note:** Only horizontal layouts (1×n) are currently supported with the tikzfigure backend. Vertical/grid layouts will raise `NotImplementedError`. See the tutorials for more examples.
+
 ### Layers
 
 ```{python}

pyproject.toml

@@ -18,7 +18,7 @@ dependencies = [
     "matplotlib",
     "pint",
     "plotly",
-    "tikzfigure[vis]>=0.2.0",
+    "tikzfigure[vis]>=0.2.1",
 ]
 [project.optional-dependencies]
 test = [

src/maxplotlib/canvas/canvas.py

@@ -735,7 +735,9 @@ def show(
             self.plot_plotly(savefig=False)
         elif backend == "tikzfigure":
             fig = self.plot_tikzfigure(savefig=False, verbose=verbose)
-            fig.show()
+            # TikzFigure handles all rendering (single or multi-subplot)
+            fig.show(transparent=False)
+            return fig
         else:
             raise ValueError("Invalid backend")
 
@@ -807,19 +809,86 @@ def plot_matplotlib(
 
     def plot_tikzfigure(
         self,
-        savefig: str | None = None,
+        savefig: bool = False,
         verbose: bool = False,
     ) -> TikzFigure:
-        if len(self._subplot_dict) > 1:
+        """
+        Generate a TikZ figure from subplots.
+
+        For now, returns the first subplot's TikzFigure.
+        Full multi-subplot support requires TikzFigure's subfigure_axis API.
+
+        Parameters:
+        verbose (bool): If True, print debug information.
+
+        Returns:
+        TikzFigure: Figure object that can be shown, saved, or compiled.
+        """
+        if verbose:
+            print(f"Plotting tikzfigure with {len(self._subplot_dict)} subplot(s)")
+
+        # Check for unsupported layouts
+        if self.nrows > 1:
             raise NotImplementedError(
-                "Only one subplot is supported for tikzfigure backend."
+                "Vertical/grid layouts (nrows > 1) are not yet supported for tikzfigure backend. "
+                "Use horizontal layouts (1×n) only."
+            )
+
+        # Validate that at least one subplot exists
+        if len(self._subplot_dict) == 0:
+            raise ValueError(
+                "No subplots to plot. Call add_subplot() or Canvas.subplots() first."
             )
+
+        fig = TikzFigure()
+
+        # Add each subplot as a subfigure axis
         for (row, col), line_plot in self._subplot_dict.items():
             if verbose:
                 print(f"Plotting subplot at row {row}, col {col}")
-                print(f"{line_plot = }")
-            tikz_subplot = line_plot.plot_tikzfigure(verbose=verbose)
-        return tikz_subplot
+
+            # Create subfigure axis with subplot metadata
+            ax = fig.subfigure_axis(
+                xlabel=line_plot._xlabel or "",
+                ylabel=line_plot._ylabel or "",
+                xlim=(
+                    (line_plot._xmin, line_plot._xmax)
+                    if line_plot._xmin is not None
+                    else None
+                ),
+                ylim=(
+                    (line_plot._ymin, line_plot._ymax)
+                    if line_plot._ymin is not None
+                    else None
+                ),
+                grid=line_plot._grid,
+                caption=line_plot._title or f"Subplot {col+1}",
+                width=0.45,
+            )
+
+            # Add each plot line to the subfigure
+            for line_data in line_plot.line_data:
+                if line_data.get("plot_type") == "plot":
+                    # Extract and transform x, y data
+                    x = (line_data["x"] + line_plot._xshift) * line_plot._xscale
+                    y = (line_data["y"] + line_plot._yshift) * line_plot._yscale
+                    kwargs = line_data.get("kwargs", {})
+                    if verbose:
+                        print(f"Line {kwargs = }")
+                    # Add plot to subfigure axis
+                    ax.add_plot(
+                        x=x,
+                        y=y,
+                        # label=kwargs.get("label", ""),
+                        color=kwargs.get("color", "black"),
+                        line_width=kwargs.get("linewidth", 1.0),
+                    )
+
+            # Add legend if requested
+            if line_plot._legend and len(line_plot.line_data) > 0:
+                ax.set_legend(position="north east")
+
+        return fig
 
     def plot_plotly(self, show=True, savefig=None, usetex=False):
         """

src/maxplotlib/tests/test_canvas.py

@@ -2,5 +2,80 @@ def test():
     pass
 
 
+def test_canvas_plot_tikzfigure_horizontal_subplots():
+    """Test that Canvas.plot_tikzfigure() works with horizontal (1×n) layouts."""
+    import numpy as np
+
+    from maxplotlib import Canvas
+
+    # Create a 1×2 canvas
+    canvas, (ax1, ax2) = Canvas.subplots(ncols=2, width="10cm", ratio=0.3)
+
+    # Add data to both subplots
+    x = np.linspace(0, 2 * np.pi, 50)
+    ax1.plot(x, np.sin(x), label="sin(x)", color="royalblue")
+    ax1.set_title("Sine")
+    ax1.set_xlabel("x")
+    ax1.set_ylabel("y")
+
+    ax2.plot(x, np.cos(x), label="cos(x)", color="tomato")
+    ax2.set_title("Cosine")
+    ax2.set_xlabel("x")
+
+    canvas.suptitle("Trig Functions")
+
+    # This should NOT raise NotImplementedError
+    result = canvas.plot_tikzfigure(verbose=False)
+
+    # Result should be a TikzFigure or string containing LaTeX
+    assert result is not None
+
+
+def test_canvas_plot_tikzfigure_three_subplots():
+    """Test 1×3 layout with tikzfigure backend."""
+    import numpy as np
+
+    from maxplotlib import Canvas
+
+    x = np.linspace(0, 2 * np.pi, 50)
+    canvas, axes = Canvas.subplots(ncols=3, width="12cm", ratio=0.3)
+
+    axes[0].plot(x, np.sin(x), color="blue")
+    axes[0].set_title("Sin")
+
+    axes[1].plot(x, np.cos(x), color="red")
+    axes[1].set_title("Cos")
+
+    axes[2].plot(x, np.tan(x), color="green")
+    axes[2].set_title("Tan")
+
+    result = canvas.plot_tikzfigure()
+
+    assert result is not None
+    if isinstance(result, str):
+        assert "\\subfigure" in result or "subfigure" in result
+
+
+def test_canvas_plot_tikzfigure_vertical_not_supported():
+    """Test that vertical layouts raise NotImplementedError."""
+    import numpy as np
+    import pytest
+
+    from maxplotlib import Canvas
+
+    x = np.linspace(0, 2 * np.pi, 50)
+    # Create 2×1 layout (nrows=2)
+    canvas, axes = Canvas.subplots(nrows=2, width="10cm")
+
+    axes[0].plot(x, np.sin(x))
+    axes[1].plot(x, np.cos(x))
+
+    # Should raise NotImplementedError
+    with pytest.raises(NotImplementedError) as exc_info:
+        canvas.plot_tikzfigure()
+
+    assert "nrows > 1" in str(exc_info.value)
+
+
 if __name__ == "__main__":
     test()