Sorted out some difficulties with respect to relative imports and PYTHONPATH

.env

@@ -1 +1 @@
-PYTHONPATH: "${workspaceFolder}"
+PYTHONPATH=${workspaceFolder}/

.vscode/launch.json

@@ -8,7 +8,7 @@
             "request": "launch",
             "program": "${file}",
             "console": "integratedTerminal",
-            "env": {"PYTHONPATH": "${workspaceFolder}/defs"}
+            "env": {"PYTHONPATH": "${workspaceFolder}/"}
         },
         {
             "name": "Python Debugger: debug_scrapyard.py",
@@ -16,7 +16,7 @@
             "request": "launch",
             "program": "${workspaceFolder}/defs/debug_scrapyard.py",
             "console": "integratedTerminal",
-            "env": {"PYTHONPATH": "${workspaceFolder}/defs"}
+            "env": {"PYTHONPATH": "${workspaceFolder}/"}
         }
     ]
 }

.vscode/settings.json

@@ -4,6 +4,7 @@
     "chat.commandCenter.enabled": false,
     "inlineChat.accessibleDiffView": "off", 
     "terminal.integrated.initialHint": false,
+    "terminal.integrated.env.windows": {"PYTHONPATH": "${workspaceFolder}/"},
     "chat.checkpoints.enabled": false,
     "chat.undoRequests.restoreInput": false,
     "chat.agent.sandbox.allowAutoApprove": false,
@@ -53,5 +54,6 @@
     "editor.wordWrap": "on",
     "editor.rulers": [140],
     "notebook.editorOptionsCustomizations": {"editor.rulers":[]},
-    "editor.fontSize": 16
+    "editor.fontSize": 16,
+    "jupiter.notebookFileRoot": "${workspaceFolder}/"
 }

defs/debug_scrapyard.py

@@ -4,7 +4,12 @@
 #%%
 import pandas as pd
 import numpy as np
-from defs import OFRAnalyser, OFRSample
+from defs.defs import OFRAnalyser, OFRSample
+from vis.defs import HelloWorld
+#%%
+
+hw = HelloWorld(word='q')
+print(hw.word)
 
 #%% 
 
@@ -16,4 +21,5 @@ analyser.GetTotalMass(samples=[33], plot=True)
 
 #%% 
 
-print(analyser.total_mass)
+print(analyser.total_mass)
+# %%

defs/defs.py

@@ -101,6 +101,7 @@ class OFRAnalyser:
                 fig = plt.figure()
                 ax = fig.add_subplot(111)
                 ax.plot(local_sample.diameters, local_sample.counts)
+                ax.set_xscale('log')
                 plt.show()
 
             local_volume = local_sample.volume_integrator()

playground.py

@@ -1,2 +1,12 @@
 from defs.defs import OFRAnalyser
-analyser = OFRAnalyser(sourcefile="/Volumes/5505/People/David_Tschan/data/OFR_SMPS/2026/processed/06_June/20260612/20260612_SET02_EXP01_full.csv")
+from vis.defs import HelloWorld
+import numpy as np
+
+
+analyser = OFRAnalyser(sourcefile="Z:/People/David_Tschan/data/OFR_SMPS/2026/processed/06_June/20260612/20260612_SET02_EXP01_full.csv",
+                       lower_bound=22.87, upper_bound=1000, density=102, scan_up=160, scan_down=20)
+
+samplelist = np.linspace(start=1, stop=analyser.max_samples, num=analyser.max_samples, dtype=int).tolist()
+
+analyser.GetTotalMass(samples=[33], plot=True)
+print(analyser.total_mass)

vis/debug_scrapyard.py

@@ -0,0 +1,17 @@
+#%%
+
+import pandas as pd
+import numpy as np
+from defs.defs import OFRAnalyser, OFRSample
+
+#%% 
+
+analyser = OFRAnalyser(sourcefile="Z:/People/David_Tschan/data/OFR_SMPS/2026/processed/06_June/20260612/20260612_SET02_EXP01_full.csv",
+                       lower_bound=22.87, upper_bound=1000, density=102, scan_up=160, scan_down=20)
+samplelist = np.linspace(start=1, stop=analyser.max_samples, num=analyser.max_samples, dtype=int).tolist()
+
+analyser.GetTotalMass(samples=[33], plot=True)
+
+#%% 
+
+print(analyser.total_mass)

vis/defs.py

@@ -0,0 +1,4 @@
+class HelloWorld:
+
+    def __init__(self, word):
+        self.word = word

vis/playground.ipynb

@@ -17,12 +17,12 @@
    "source": [
     "import pandas as pd\n",
     "import numpy as np\n",
-    "from defs.defs import OFRAnalyser, OFRSample"
+    "from defs.defs import OFRAnalyser"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "id": "83604ca62804491c",
    "metadata": {
     "ExecuteTime": {
@@ -37,7 +37,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": null,
    "id": "fc69589de06ec7c3",
    "metadata": {
     "ExecuteTime": {
@@ -45,18 +45,7 @@
      "start_time": "2026-06-15T14:00:19.820656Z"
     }
    },
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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truncated
-      "text/plain": [
-       "<Figure size 640x480 with 1 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "samplelist = np.linspace(start=1, stop=analyser.max_samples, num=analyser.max_samples, dtype=int).tolist()\n",
     "analyser.GetTotalMass(samples=[33], plot=True)"
@@ -64,18 +53,10 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": null,
    "id": "a9eadad8",
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "1.7670695718029623e-08\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "print(analyser.total_mass)"
    ]