pandas 3 fixes

Author: aleaf

notebooks/part1_flopy/03_Loading_and_visualizing_models.ipynb

@@ -1100,13 +1100,24 @@
     "fig, ax = plt.subplots(figsize=(10, 5))\n",
     "in_cols = ['STO-SS_IN', 'STO-SY_IN', 'WEL_IN', 'RCHA_IN', 'CHD_IN', 'SFR_IN', 'LAK_IN']\n",
     "out_cols = [c.replace('_IN', '_OUT') for c in in_cols]\n",
+    "# as of pandas 3.0.1, \n",
+    "# the datatime index of the flux dataframe produced by Flopy produces an error with .plot.bar();\n",
+    "# switch the index to a categorical (date string) index instead\n",
+    "flux.index = flux.index.strftime('%Y-%m-%d')\n",
     "flux[in_cols].plot.bar(stacked=True, ax=ax)\n",
     "(-flux[out_cols]).plot.bar(stacked=True, ax=ax)\n",
     "ax.legend(loc='lower left', bbox_to_anchor=(1, 0))\n",
     "ax.axhline(0, lw=0.5, c='k')\n",
     "ax.set_ylabel('Simulated Flux, in $m^3/d$')"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -1142,7 +1153,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.11"
+   "version": "3.14.3"
   }
  },
  "nbformat": 4,

notebooks/part1_flopy/07-stream_capture_voronoi.ipynb

@@ -661,8 +661,8 @@
     "for gage_num in range(2):\n",
     "    for lay_num in range(3):\n",
     "        cax = ax[ax_num]\n",
-    "        data = drf.loc[lay_num][f'Gage{gage_num+1}'].values\n",
-    "        data[data<0] =0\n",
+    "        data = drf.loc[lay_num][f'Gage{gage_num+1}'].values.copy()\n",
+    "        data[data < 0] = 0\n",
     "        mm = fp.plot.PlotMapView(model= base_m, ax=cax)\n",
     "        mm.plot_bc('SFR', plotAll=True, color='blue')\n",
     "        mm.plot_bc('WEL', plotAll=True)\n",
@@ -696,9 +696,21 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "pyclass",
    "language": "python",
    "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.14.3"
   }
  },
  "nbformat": 4,

notebooks/part1_flopy/solutions/03_Loading_and_visualizing_models-solutions.ipynb

@@ -1021,7 +1021,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "pd.read_csv(sim_ws / 'external/chd_001.dat', delim_whitespace=True)"
+    "pd.read_csv(sim_ws / 'external/chd_001.dat', sep=r'\\s+')"
    ]
   },
   {
@@ -1130,6 +1130,10 @@
     "fig, ax = plt.subplots(figsize=(10, 5))\n",
     "in_cols = ['STO-SS_IN', 'STO-SY_IN', 'WEL_IN', 'RCHA_IN', 'CHD_IN', 'SFR_IN', 'LAK_IN']\n",
     "out_cols = [c.replace('_IN', '_OUT') for c in in_cols]\n",
+    "# as of pandas 3.0.1, \n",
+    "# the datatime index of the flux dataframe produced by Flopy produces an error with .plot.bar();\n",
+    "# switch the index to a categorical (date string) index instead\n",
+    "flux.index = flux.index.strftime('%Y-%m-%d')\n",
     "flux[in_cols].plot.bar(stacked=True, ax=ax)\n",
     "(-flux[out_cols]).plot.bar(stacked=True, ax=ax)\n",
     "ax.legend(loc='lower left', bbox_to_anchor=(1, 0))\n",
@@ -1172,7 +1176,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.11"
+   "version": "3.14.3"
   }
  },
  "nbformat": 4,

notebooks/part1_flopy/solutions/07-stream_capture_voronoi.ipynb

@@ -13158,7 +13158,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": null,
    "id": "fd8e62ba",
    "metadata": {},
    "outputs": [
@@ -13180,8 +13180,8 @@
     "for gage_num in range(2):\n",
     "    for lay_num in range(3):\n",
     "        cax = ax[ax_num]\n",
-    "        data = drf.loc[lay_num][f'Gage{gage_num+1}'].values\n",
-    "        data[data<0] =0\n",
+    "        data = drf.loc[lay_num][f'Gage{gage_num+1}'].values.copy()\n",
+    "        data[data < 0] = 0\n",
     "        mm = fp.plot.PlotMapView(model= base_m, ax=cax)\n",
     "        mm.plot_bc('SFR', plotAll=True, color='blue')\n",
     "        mm.plot_bc('WEL', plotAll=True)\n",