diff --git a/code/IndShock.ipynb b/code/IndShock.ipynb
index ebcba03..7ca2601 100644
--- a/code/IndShock.ipynb
+++ b/code/IndShock.ipynb
@@ -17,7 +17,8 @@
                 "from estimark.agents import IndShkLifeCycleConsumerType\n",
                 "import estimark.calibration.estimation_parameters as parameters\n",
                 "import numpy as np\n",
-                "from HARK.utilities import plot_funcs"
+                "from HARK.utilities import plot_funcs\n",
+                "import matplotlib.pyplot as plt"
             ]
         },
         {
@@ -68,7 +69,8 @@
                 }
             ],
             "source": [
-                "plot_funcs([sol.cFunc for sol in indshk_agent.solution[:-1:5]], 0, 20)"
+                "plot_funcs([sol.cFunc for sol in indshk_agent.solution[:-1:5]], 0, 20)\n",
+                "plt.savefig(\"../content/figures/IndShock_cFunc.png\")"
             ]
         },
         {
diff --git a/code/Portfolio.ipynb b/code/Portfolio.ipynb
index 89c2a4f..ca3bf2e 100644
--- a/code/Portfolio.ipynb
+++ b/code/Portfolio.ipynb
@@ -17,7 +17,8 @@
     "from estimark.agents import PortfolioLifeCycleConsumerType\n",
     "import estimark.calibration.estimation_parameters as parameters\n",
     "import numpy as np\n",
-    "from HARK.utilities import plot_funcs"
+    "from HARK.utilities import plot_funcs\n",
+    "import matplotlib.pyplot as plt"
    ]
   },
   {
@@ -37,11 +38,13 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "portfolio_agent = PortfolioLifeCycleConsumerType(**parameters.init_consumer_objects)\n",
+    "portfolio_agent = PortfolioLifeCycleConsumerType(\n",
+    "    **parameters.init_consumer_objects)\n",
     "\n",
     "\n",
     "portfolio_agent.CRRA = CRRA\n",
     "\n",
+    "\n",
     "portfolio_agent.DiscFac = [b * DiscFacAdj for b in parameters.DiscFac_timevary]"
    ]
   },
@@ -71,7 +74,8 @@
     }
    ],
    "source": [
-    "plot_funcs([sol.cFunc for sol in portfolio_agent.solution[:-1:5]], 0, 20)"
+    "plot_funcs([sol.cFunc for sol in portfolio_agent.solution[:-1:5]], 0, 20)\n",
+    "plt.savefig(\"../content/figures/IndShockPortfolio_cFunc.png\")"
    ]
   },
   {
@@ -91,7 +95,8 @@
     }
    ],
    "source": [
-    "plot_funcs([sol.ShareFuncAdj for sol in portfolio_agent.solution[:-1:5]], 0, 100)"
+    "plot_funcs([sol.ShareFuncAdj for sol in portfolio_agent.solution[:-1:5]], 0, 100)\n",
+    "plt.savefig(\"../content/figures/IndShockPortfolio_ShareFunc.png\")"
    ]
   }
  ],
diff --git a/code/WarmGlow.ipynb b/code/WarmGlow.ipynb
index f273b4b..8ef6a1b 100644
--- a/code/WarmGlow.ipynb
+++ b/code/WarmGlow.ipynb
@@ -2,19 +2,28 @@
     "cells": [
         {
             "cell_type": "code",
-            "execution_count": 3,
+            "execution_count": 1,
             "metadata": {},
-            "outputs": [],
+            "outputs": [
+                {
+                    "name": "stdout",
+                    "output_type": "stream",
+                    "text": [
+                        "***NOTE: using a 'quick fix' for an attribute error. See 'Error Notes' in EstimationParameter.py for further discussion.***\n"
+                    ]
+                }
+            ],
             "source": [
                 "from estimark.agents import BequestWarmGlowLifeCycleConsumerType\n",
                 "import estimark.calibration.estimation_parameters as parameters\n",
                 "import numpy as np\n",
-                "from HARK.utilities import plot_funcs"
+                "from HARK.utilities import plot_funcs\n",
+                "import matplotlib.pyplot as plt"
             ]
         },
         {
             "cell_type": "code",
-            "execution_count": 4,
+            "execution_count": 2,
             "metadata": {},
             "outputs": [],
             "source": [
@@ -25,7 +34,7 @@
         },
         {
             "cell_type": "code",
-            "execution_count": 5,
+            "execution_count": 3,
             "metadata": {},
             "outputs": [],
             "source": [
@@ -39,7 +48,7 @@
         },
         {
             "cell_type": "code",
-            "execution_count": 6,
+            "execution_count": 4,
             "metadata": {},
             "outputs": [],
             "source": [
@@ -48,7 +57,7 @@
         },
         {
             "cell_type": "code",
-            "execution_count": 7,
+            "execution_count": 5,
             "metadata": {},
             "outputs": [
                 {
@@ -63,7 +72,8 @@
                 }
             ],
             "source": [
-                "plot_funcs([sol.cFunc for sol in portfolio_agent.solution[:-1:5]], 0, 20)"
+                "plot_funcs([sol.cFunc for sol in portfolio_agent.solution[:-1:5]], 0, 20)\n",
+                "plt.savefig(\"../content/figures/WarmGlowIndShock_cFunc.png\")"
             ]
         }
     ],
diff --git a/code/WarmGlowPortfolio.ipynb b/code/WarmGlowPortfolio.ipynb
index c59a96d..9a16560 100644
--- a/code/WarmGlowPortfolio.ipynb
+++ b/code/WarmGlowPortfolio.ipynb
@@ -17,7 +17,8 @@
                 "from estimark.agents import BequestWarmGlowLifeCyclePortfolioType\n",
                 "import estimark.calibration.estimation_parameters as parameters\n",
                 "import numpy as np\n",
-                "from HARK.utilities import plot_funcs"
+                "from HARK.utilities import plot_funcs\n",
+                "import matplotlib.pyplot as plt"
             ]
         },
         {
@@ -71,7 +72,8 @@
                 }
             ],
             "source": [
-                "plot_funcs([sol.cFunc for sol in portfolio_agent.solution[:-1:5]], 0, 20)"
+                "plot_funcs([sol.cFunc for sol in portfolio_agent.solution[:-1:5]], 0, 20)\n",
+                "plt.savefig(\"../content/figures/WarmGlowIndShockPortfolio_cFunc.png\")"
             ]
         },
         {
@@ -91,8 +93,36 @@
                 }
             ],
             "source": [
-                "plot_funcs([sol.ShareFuncAdj for sol in portfolio_agent.solution[:-1:5]], 0, 100)"
+                "plot_funcs([sol.ShareFuncAdj for sol in portfolio_agent.solution[:-1:5]], 0, 100)\n",
+                "plt.savefig(\"../content/figures/WarmGlowIndShockPortfolio_ShareFunc.png\")"
             ]
+        },
+        {
+            "cell_type": "code",
+            "execution_count": 7,
+            "metadata": {},
+            "outputs": [
+                {
+                    "data": {
+                        "image/png": 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",
+                        "text/plain": [
+                            "<Figure size 640x480 with 1 Axes>"
+                        ]
+                    },
+                    "metadata": {},
+                    "output_type": "display_data"
+                }
+            ],
+            "source": [
+                "plot_funcs(portfolio_agent.solution[-2].ShareFuncAdj, 0, 100)"
+            ]
+        },
+        {
+            "cell_type": "code",
+            "execution_count": null,
+            "metadata": {},
+            "outputs": [],
+            "source": []
         }
     ],
     "metadata": {
diff --git a/code/WealthPortfolio.ipynb b/code/WealthPortfolio.ipynb
index 8b7f1a0..b8f0ea2 100644
--- a/code/WealthPortfolio.ipynb
+++ b/code/WealthPortfolio.ipynb
@@ -17,7 +17,8 @@
                 "from estimark.agents import WealthPortfolioLifeCycleConsumerType\n",
                 "import estimark.calibration.estimation_parameters as parameters\n",
                 "import numpy as np\n",
-                "from HARK.utilities import plot_funcs"
+                "from HARK.utilities import plot_funcs\n",
+                "import matplotlib.pyplot as plt"
             ]
         },
         {
@@ -71,7 +72,8 @@
                 }
             ],
             "source": [
-                "plot_funcs([sol.cFunc for sol in portfolio_agent.solution[:-1:5]], 0, 20)"
+                "plot_funcs([sol.cFunc for sol in portfolio_agent.solution[:-1:5]], 0, 20)\n",
+                "plt.savefig(\"../content/figures/TRPPortfolio_cFunc.png\")"
             ]
         },
         {
@@ -81,7 +83,7 @@
             "outputs": [
                 {
                     "data": {
-                        "image/png": 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",
+                        "image/png": 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",
                         "text/plain": [
                             "<Figure size 640x480 with 1 Axes>"
                         ]
@@ -91,8 +93,36 @@
                 }
             ],
             "source": [
-                "plot_funcs([sol.shareFunc for sol in portfolio_agent.solution[:-1:5]], 0, 100)"
+                "plot_funcs([sol.shareFunc for sol in portfolio_agent.solution[:-1:5]], 0, 20)\n",
+                "plt.savefig(\"../content/figures/TRPPortfolio_ShareFunc.png\")"
             ]
+        },
+        {
+            "cell_type": "code",
+            "execution_count": 7,
+            "metadata": {},
+            "outputs": [
+                {
+                    "data": {
+                        "image/png": 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",
+                        "text/plain": [
+                            "<Figure size 640x480 with 1 Axes>"
+                        ]
+                    },
+                    "metadata": {},
+                    "output_type": "display_data"
+                }
+            ],
+            "source": [
+                "plot_funcs(portfolio_agent.solution[-2].shareFunc, 0, 20)"
+            ]
+        },
+        {
+            "cell_type": "code",
+            "execution_count": null,
+            "metadata": {},
+            "outputs": [],
+            "source": []
         }
     ],
     "metadata": {
diff --git a/content/figures/IndShockPortfolio_ShareFunc.png b/content/figures/IndShockPortfolio_ShareFunc.png
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