Fix style errors

Author: dccowan

notebooks/03-gravity/fwd_gravity_anomaly_3d.ipynb

@@ -89,11 +89,11 @@
     "import numpy as np\n",
     "from scipy.interpolate import LinearNDInterpolator\n",
     "import matplotlib as mpl\n",
-    "\n",
-    "mpl.rcParams.update({\"font.size\": 14})\n",
     "import matplotlib.pyplot as plt\n",
     "import os\n",
     "\n",
+    "mpl.rcParams.update({\"font.size\": 14})\n",
+    "\n",
     "save_output = False  # Optional"
    ]
   },

notebooks/03-gravity/fwd_gravity_gradiometry_3d.ipynb

@@ -92,9 +92,9 @@
     "import numpy as np\n",
     "from scipy.interpolate import LinearNDInterpolator\n",
     "import matplotlib as mpl\n",
+    "import matplotlib.pyplot as plt\n",
     "\n",
     "mpl.rcParams.update({\"font.size\": 14})\n",
-    "import matplotlib.pyplot as plt\n",
     "\n",
     "save_output = False  # Optional"
    ]

notebooks/04-magnetics/fwd_magnetics_induced_3d.ipynb

@@ -90,11 +90,11 @@
     "import numpy as np\n",
     "from scipy.interpolate import LinearNDInterpolator\n",
     "import matplotlib as mpl\n",
-    "\n",
-    "mpl.rcParams.update({\"font.size\": 14})\n",
     "import matplotlib.pyplot as plt\n",
     "import os\n",
     "\n",
+    "mpl.rcParams.update({\"font.size\": 14})\n",
+    "\n",
     "save_output = False  # Optional"
    ]
   },

notebooks/04-magnetics/fwd_magnetics_mvi_3d.ipynb

@@ -92,9 +92,9 @@
     "from scipy.interpolate import LinearNDInterpolator\n",
     "from scipy.constants import mu_0\n",
     "import matplotlib as mpl\n",
+    "import matplotlib.pyplot as plt\n",
     "\n",
     "mpl.rcParams.update({\"font.size\": 14})\n",
-    "import matplotlib.pyplot as plt\n",
     "\n",
     "save_output = False  # Optional"
    ]

notebooks/07-fdem/fwd_fdem_3d.ipynb

@@ -843,56 +843,6 @@
     "\n",
     "plt.show()"
    ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Optional: Export Data\n",
-    "\n",
-    "Write the true model, data and topography\n",
-    "\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 21,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2025-05-23T17:19:25.643898Z",
-     "iopub.status.busy": "2025-05-23T17:19:25.643584Z",
-     "iopub.status.idle": "2025-05-23T17:19:25.648762Z",
-     "shell.execute_reply": "2025-05-23T17:19:25.648248Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "if save_file:\n",
-    "    dir_path = os.path.dirname(fdem.__file__).split(os.path.sep)[:-3]\n",
-    "    dir_path.extend([\"tutorials\", \"assets\", \"fdem\"])\n",
-    "    dir_path = os.path.sep.join(dir_path) + os.path.sep\n",
-    "\n",
-    "    # Write topography\n",
-    "    fname = dir_path + \"fdem_topo.txt\"\n",
-    "    np.savetxt(fname, np.c_[topo_xyz], fmt=\"%.4e\")\n",
-    "\n",
-    "    # Write data with 2% noise added\n",
-    "    fname = dir_path + \"fdem_data.obs\"\n",
-    "    bz_real = bz_real + 1e-14 * np.random.rand(len(bz_real))\n",
-    "    bz_imag = bz_imag + 1e-14 * np.random.rand(len(bz_imag))\n",
-    "    f_vec = np.kron(frequencies, np.ones(ntx))\n",
-    "    receiver_locations = np.kron(np.ones((len(frequencies), 1)), receiver_locations)\n",
-    "\n",
-    "    np.savetxt(fname, np.c_[f_vec, receiver_locations, bz_real, bz_imag], fmt=\"%.4e\")\n",
-    "\n",
-    "    # Plot true model\n",
-    "    output_model = plotting_map * model\n",
-    "    output_model[np.isnan(output_model)] = 1e-8\n",
-    "\n",
-    "    fname = dir_path + \"true_model.txt\"\n",
-    "    np.savetxt(fname, output_model, fmt=\"%.4e\")"
-   ]
   }
  ],
  "metadata": {

notebooks/08-tdem/fwd_tdem_3d.ipynb

@@ -913,56 +913,6 @@
     "\n",
     "plt.show()"
    ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Optional: Export Data\n",
-    "\n",
-    "Write the true model, data and topography\n",
-    "\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2025-05-23T17:54:48.125857Z",
-     "iopub.status.busy": "2025-05-23T17:54:48.125627Z",
-     "iopub.status.idle": "2025-05-23T17:54:48.132415Z",
-     "shell.execute_reply": "2025-05-23T17:54:48.131374Z"
-    }
-   },
-   "outputs": [],
-   "source": [
-    "if save_file:\n",
-    "    dir_path = os.path.dirname(tdem.__file__).split(os.path.sep)[:-3]\n",
-    "    dir_path.extend([\"tutorials\", \"assets\", \"tdem\"])\n",
-    "    dir_path = os.path.sep.join(dir_path) + os.path.sep\n",
-    "\n",
-    "    fname = dir_path + \"tdem_topo.txt\"\n",
-    "    np.savetxt(fname, np.c_[topo_xyz], fmt=\"%.4e\")\n",
-    "\n",
-    "    # Write data with 2% noise added\n",
-    "    fname = dir_path + \"tdem_data.obs\"\n",
-    "    rng = np.random.default_rng(seed=42)\n",
-    "    noise = rng.uniform(low=0.0, high=0.02 * np.abs(dpred), size=len(dpred))\n",
-    "    dpred += noise\n",
-    "    t_vec = np.kron(np.ones(ntx), time_channels)\n",
-    "    receiver_locations = np.kron(receiver_locations, np.ones((len(time_channels), 1)))\n",
-    "\n",
-    "    np.savetxt(fname, np.c_[receiver_locations, t_vec, dpred], fmt=\"%.4e\")\n",
-    "\n",
-    "    # Plot true model\n",
-    "    output_model = plotting_map * model\n",
-    "    output_model[np.isnan(output_model)] = 1e-8\n",
-    "\n",
-    "    fname = dir_path + \"true_model.txt\"\n",
-    "    np.savetxt(fname, output_model, fmt=\"%.4e\")"
-   ]
   }
  ],
  "metadata": {