migliora qualità plot induttori: figura più grande, font, box equazione

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

induttore1/app1.py

@@ -49,22 +49,31 @@ t_curve = np.linspace(T0, T_END, 500)
 T_curve = modello(t_curve, *popt)
 
 # --- Plot ---
-fig, ax = plt.subplots(figsize=(8, 5))
+fig, ax = plt.subplots(figsize=(10, 6))
 
 ax.scatter(t_fit, T_fit,
-           color="steelblue", s=20, zorder=3, label="Dati raw (temp_obj)")
+           color="steelblue", s=60, edgecolors="white", linewidths=0.5,
+           zorder=3, label="Dati raw (temp_obj)")
 ax.plot(t_curve, T_curve,
-        color="tomato", linewidth=2,
-        label=f"Fit: {T_INF} + {A_fit:.2f}·exp(-(t−{T0})/{tau_fit:.3f})")
+        color="tomato", linewidth=2.5,
+        label=f"Fit esponenziale")
 
-ax.set_xlabel("Tempo [s]")
-ax.set_ylabel("Temperatura [°C]")
-ax.set_title(f"Fit esponenziale  [{T0}–{T_END} s]  |  R² = {r2:.4f}")
-ax.legend()
-ax.grid(True, alpha=0.3)
+ax.set_xlabel("Tempo [s]", fontsize=13)
+ax.set_ylabel("Temperatura [°C]", fontsize=13)
+ax.set_title(f"Induttore 1  —  Fit esponenziale  [{T0}–{T_END} s]", fontsize=14, fontweight="bold")
+ax.tick_params(labelsize=11)
+ax.legend(fontsize=11, framealpha=0.9)
+ax.grid(True, which="both", alpha=0.3)
+ax.minorticks_on()
+
+eq_text = (f"$T(t) = {T_INF} + {A_fit:.2f}\\cdot e^{{-(t-{T0})/{tau_fit:.3f}}}$\n"
+           f"$R^2 = {r2:.4f}$")
+ax.text(0.97, 0.95, eq_text, transform=ax.transAxes,
+        fontsize=11, verticalalignment="top", horizontalalignment="right",
+        bbox=dict(boxstyle="round,pad=0.4", facecolor="white", alpha=0.8))
 
 plt.tight_layout()
-plt.savefig(Path(__file__).parent / "induttore1.png", dpi=150, bbox_inches="tight")
+plt.savefig(Path(__file__).parent / "induttore1.png", dpi=200, bbox_inches="tight")
 plt.show()
 
 # --- Report ---

induttore2/app2.py

@@ -49,19 +49,29 @@ t_curve = np.linspace(T0, T_END, 500)
 T_curve = modello(t_curve, *popt)
 
 # --- Plot ---
-fig, ax = plt.subplots(figsize=(8, 5))
+fig, ax = plt.subplots(figsize=(10, 6))
 ax.scatter(t_fit, T_fit,
-           color="steelblue", s=20, zorder=3, label="Dati raw (temp_obj)")
+           color="steelblue", s=60, edgecolors="white", linewidths=0.5,
+           zorder=3, label="Dati raw (temp_obj)")
 ax.plot(t_curve, T_curve,
-        color="tomato", linewidth=2,
-        label=f"Fit: {T_INF} + {A_fit:.2f}·exp(-(t-{T0})/{tau_fit:.3f})")
-ax.set_xlabel("Tempo [s]")
-ax.set_ylabel("Temperatura [°C]")
-ax.set_title(f"Fit esponenziale  [{T0}–{T_END} s]  |  R² = {r2:.4f}")
-ax.legend()
-ax.grid(True, alpha=0.3)
+        color="tomato", linewidth=2.5,
+        label="Fit esponenziale")
+ax.set_xlabel("Tempo [s]", fontsize=13)
+ax.set_ylabel("Temperatura [°C]", fontsize=13)
+ax.set_title(f"Induttore 2  —  Fit esponenziale  [{T0}–{T_END} s]", fontsize=14, fontweight="bold")
+ax.tick_params(labelsize=11)
+ax.legend(fontsize=11, framealpha=0.9)
+ax.grid(True, which="both", alpha=0.3)
+ax.minorticks_on()
+
+eq_text = (f"$T(t) = {T_INF} + {A_fit:.2f}\\cdot e^{{-(t-{T0})/{tau_fit:.3f}}}$\n"
+           f"$R^2 = {r2:.4f}$")
+ax.text(0.97, 0.95, eq_text, transform=ax.transAxes,
+        fontsize=11, verticalalignment="top", horizontalalignment="right",
+        bbox=dict(boxstyle="round,pad=0.4", facecolor="white", alpha=0.8))
+
 plt.tight_layout()
-plt.savefig(Path(__file__).parent / "induttore2.png", dpi=150, bbox_inches="tight")
+plt.savefig(Path(__file__).parent / "induttore2.png", dpi=200, bbox_inches="tight")
 plt.show()
 
 # --- Report ---

induttore3/app3.py

@@ -59,21 +59,31 @@ t_curve = np.linspace(T0, T_END, 500)
 T_curve = modello(t_curve, *popt)
 
 # --- Plot ---
-fig, ax = plt.subplots(figsize=(8, 5))
+fig, ax = plt.subplots(figsize=(10, 6))
 ax.scatter(t_fit, T_fit,
-           color="steelblue", s=20, zorder=3, label="Dati raw (temp_obj)")
+           color="steelblue", s=60, edgecolors="white", linewidths=0.5,
+           zorder=3, label="Dati raw (temp_obj)")
 ax.axvspan(W0_START, W0_END, color="orange", alpha=0.25,
            label=f"Zona esclusa [{W0_START}–{W0_END} s]")
 ax.plot(t_curve, T_curve,
-        color="tomato", linewidth=2,
-        label=f"Fit: {T_INF} + {A_fit:.2f}·exp(-(t-{T0})/{tau_fit:.3f})")
-ax.set_xlabel("Tempo [s]")
-ax.set_ylabel("Temperatura [°C]")
-ax.set_title(f"Fit esponenziale  [{T0}–{T_END} s]  |  R² = {r2:.4f}")
-ax.legend()
-ax.grid(True, alpha=0.3)
+        color="tomato", linewidth=2.5,
+        label="Fit esponenziale")
+ax.set_xlabel("Tempo [s]", fontsize=13)
+ax.set_ylabel("Temperatura [°C]", fontsize=13)
+ax.set_title(f"Induttore 3  —  Fit esponenziale  [{T0}–{T_END} s]", fontsize=14, fontweight="bold")
+ax.tick_params(labelsize=11)
+ax.legend(fontsize=11, framealpha=0.9)
+ax.grid(True, which="both", alpha=0.3)
+ax.minorticks_on()
+
+eq_text = (f"$T(t) = {T_INF} + {A_fit:.2f}\\cdot e^{{-(t-{T0})/{tau_fit:.3f}}}$\n"
+           f"$R^2 = {r2:.4f}$")
+ax.text(0.97, 0.95, eq_text, transform=ax.transAxes,
+        fontsize=11, verticalalignment="top", horizontalalignment="right",
+        bbox=dict(boxstyle="round,pad=0.4", facecolor="white", alpha=0.8))
+
 plt.tight_layout()
-plt.savefig(Path(__file__).parent / "induttore3.png", dpi=150, bbox_inches="tight")
+plt.savefig(Path(__file__).parent / "induttore3.png", dpi=200, bbox_inches="tight")
 plt.show()
 
 # --- Report ---