Wrap the ax-title ConstitutiveMaterial.plot()

.github/workflows/coverage.yml → .github/workflows/upload-codecov.yml

@@ -25,5 +25,7 @@ jobs:
         pip install tox
         tox -- --cov felupe --cov-report xml --cov-report term
     - name: Upload coverage to Codecov
-      uses: codecov/codecov-action@v3
+      uses: codecov/codecov-action@v4
       if: ${{ matrix.python-version == '3.12' }}
+      env:
+        CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}

CHANGELOG.md

@@ -5,6 +5,10 @@ All notable changes to this project will be documented in this file. The format
 
 ### Added
 - Add `math.solve_2d(A, b, solver=np.linalg.solve, **kwargs)` to be used in `newtonrhapson(solve=solve_2d, ...)` for two-dimensional unknowns. This is useful for local Newton-iterations related to viscoelastic evolution equations inside constitutive material formulations.
+- Add x- and y-offsets in `Job.plot(xoffset=0.0, yoffset=0.0)`.
+
+### Changed
+- Wrap the ax-title with the parameters of the material model in `ConstitutiveMaterial.plot()`.
 
 ### Fixed
 - Sort array of principal values in descending order before plotting in `Scene.plot("Principal Values of ...")`. This ensures that the labels are matching user-defined arrays of principal values.

src/felupe/constitution/_view.py

@@ -92,12 +92,11 @@ def plot(self, ax=None, show_title=True, show_kwargs=True, **kwargs):
 
         if show_kwargs:
             if hasattr(self.umat, "kwargs"):
-                ax.set_title(
-                    ", ".join(
-                        [f"{key}={value}" for key, value in self.umat.kwargs.items()]
-                    ),
-                    fontdict=dict(fontsize="small"),
+                parameters = ", ".join(
+                    [f"{key}={value}" for key, value in self.umat.kwargs.items()]
                 )
+                ax.set_title(parameters, fontdict=dict(fontsize="small"), wrap=True)
+
         return ax
 
 

src/felupe/mechanics/_curve.py

@@ -122,6 +122,8 @@ def plot(
         ylabel=None,
         xscale=1.0,
         yscale=1.0,
+        xoffset=0.0,
+        yoffset=0.0,
         gradient=False,
         swapaxes=False,
         ax=None,
@@ -154,6 +156,10 @@ def plot(
             A scaling factor for the displacement data (default is 1.0).
         yscale : float, optional
             A scaling factor the reaction force data (default is 1.0).
+        xoffset : float, optional
+            An offset for the displacement data (default is 0.0).
+        yoffset : float, optional
+            An offset for the reaction force data (default is 0.0).
         gradient : bool, optional
             A flag to plot the gradient of the y-data. Uses
             ``numpy.gradient(edge_order=2)``. The gradient data is set to ``np.nan`` for
@@ -213,7 +219,9 @@ def plot(
             xaxis, yaxis = yaxis, xaxis
             xscale, yscale = yscale, xscale
 
-        ax.plot(x[:, xaxis] * xscale, y[:, yaxis] * yscale, **kwargs)
+        ax.plot(
+            xoffset + x[:, xaxis] * xscale, yoffset + y[:, yaxis] * yscale, **kwargs
+        )
 
         if xlabel is not None:
             ax.set_xlabel(xlabel)