Update examples to remove obsolete variables

examples/csv_output.ipynb

@@ -42,7 +42,7 @@
     "# not needed if you replace both target filepaths below.\n",
     "data_dir = Path(\"data\")\n",
     "# Replace this path/to/MFILE.DAT with your target file:\n",
-    "mfilename = data_dir / \"csv_output_large_tokamak_MFILE.DAT\"\n",
+    "mfilename = data_dir / \"large_tokamak_1_MFILE.DAT\"\n",
     "\n",
     "# Either replace this with your own path/to/file.json target,\n",
     "# or add your required variables into the identified file:\n",
@@ -59,7 +59,7 @@
  "metadata": {
   "celltoolbar": "Slideshow",
   "kernelspec": {
-   "display_name": ".venv",
+   "display_name": "env",
    "language": "python",
    "name": "python3"
   },

examples/examples.ipynb

@@ -249,47 +249,11 @@
     "\n",
     "temp_dir.cleanup()"
    ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "## Plot scan\n",
-    "Plot a scanned MFILE."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "%matplotlib inline\n",
-    "\n",
-    "from process.io import plot_scans\n",
-    "\n",
-    "# Define working directory relative to project dir and input file name\n",
-    "input_rel = script_dir / \"data/scan_MFILE.DAT\"\n",
-    "temp_dir, temp_input_path = copy_to_temp_dir(input_rel)\n",
-    "\n",
-    "plot_scans.main(\n",
-    "    args=[\n",
-    "        \"-f\",\n",
-    "        str(temp_input_path),\n",
-    "        \"-yv\",\n",
-    "        \"dx_tf_turn_steel\",\n",
-    "        \"--outputdir\",\n",
-    "        str(temp_input_path.parent),\n",
-    "    ]\n",
-    ")\n",
-    "\n",
-    "temp_dir.cleanup()"
-   ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": ".venv",
+   "display_name": "env",
    "language": "python",
    "name": "python3"
   },

tests/examples/test_examples.py

@@ -72,14 +72,10 @@ def test_csv(examples_temp_data):
     csv_notebook_location = examples_temp_data / "csv_output.ipynb"
     with testbook(csv_notebook_location, execute=True, timeout=600):
         # Check csv file is created
-        assert os.path.exists(
-            examples_temp_data / "data/csv_output_large_tokamak_MFILE.csv"
-        )
+        assert os.path.exists(examples_temp_data / "data/large_tokamak_1_MFILE.csv")
 
         # Read in the csv file created by test and check it contains positive floats
-        readcsv = pd.read_csv(
-            examples_temp_data / "data/csv_output_large_tokamak_MFILE.csv"
-        )
+        readcsv = pd.read_csv(examples_temp_data / "data/large_tokamak_1_MFILE.csv")
         values = readcsv["Value"]
         value_array = np.array(values)
         check_float = False