Merge pull request #49 from invrs-io/trim

Shorten long filenames in leaderboard plots

docs/notebooks/leaderboards/bayer_sorter.ipynb

@@ -54,14 +54,19 @@
     "df[\"minimum_spacing_nm\"] = df[\"minimum_spacing\"] * grid_spacing_nm\n",
     "df[\"minimum_length_scale_nm\"] = df[\"minimum_length_scale\"] * grid_spacing_nm\n",
     "\n",
+    "def _trim_filename(name):\n",
+    "    return name if len(name) < 40 else name[:25] + \"...\" + name[-12:]\n",
+    "\n",
+    "df[\"file\"] = [_trim_filename(f) for f in df[\"file\"]]\n",
+    "\n",
     "def plot_challenge_metrics(challenge_name: str) -> display.DisplayHandle:\n",
     "    challenge_df = df[df[\"challenge\"] == challenge_name]\n",
     "    fig = px.scatter(\n",
     "        challenge_df,\n",
     "        x=\"minimum_length_scale_nm\",\n",
     "        y=\"eval_metric\",\n",
     "        color=\"file_prefix\",\n",
-    "        hover_data=[\"file\", \"minimum_width_nm\", \"minimum_spacing_nm\", \"binarization_degree\"],\n",
+    "        hover_data=[\"file_trimmed\", \"minimum_width_nm\", \"minimum_spacing_nm\", \"binarization_degree\"],\n",
     "    )\n",
     "    if not os.path.exists(\"_plots/\"):\n",
     "        os.mkdir(\"_plots/\")\n",

docs/notebooks/leaderboards/ceviche_challenges.ipynb

@@ -54,6 +54,11 @@
     "df[\"minimum_spacing_nm\"] = df[\"minimum_spacing\"] * grid_spacing_nm\n",
     "df[\"minimum_length_scale_nm\"] = df[\"minimum_length_scale\"] * grid_spacing_nm\n",
     "\n",
+    "def _trim_filename(name):\n",
+    "    return name if len(name) < 40 else name[:25] + \"...\" + name[-12:]\n",
+    "\n",
+    "df[\"file\"] = [_trim_filename(f) for f in df[\"file\"]]]\n",
+    "\n",
     "def plot_challenge_metrics(challenge_name: str) -> display.DisplayHandle:\n",
     "    challenge_df = df[df[\"challenge\"] == challenge_name]\n",
     "    fig = px.scatter(\n",

docs/notebooks/leaderboards/diffractive_splitter.ipynb

@@ -54,6 +54,11 @@
     "df[\"minimum_spacing_nm\"] = df[\"minimum_spacing\"] * grid_spacing_nm\n",
     "df[\"minimum_length_scale_nm\"] = df[\"minimum_length_scale\"] * grid_spacing_nm\n",
     "\n",
+    "def _trim_filename(name):\n",
+    "    return name if len(name) < 40 else name[:25] + \"...\" + name[-12:]\n",
+    "\n",
+    "df[\"file\"] = [_trim_filename(f) for f in df[\"file\"]]\n",
+    "\n",
     "def plot_challenge_metrics(challenge_name: str) -> display.DisplayHandle:\n",
     "    challenge_df = df[df[\"challenge\"] == challenge_name]\n",
     "    fig = px.scatter(\n",

docs/notebooks/leaderboards/meta_atom_library.ipynb

@@ -54,6 +54,11 @@
     "df[\"minimum_spacing_nm\"] = df[\"minimum_spacing\"] * grid_spacing_nm\n",
     "df[\"minimum_length_scale_nm\"] = df[\"minimum_length_scale\"] * grid_spacing_nm\n",
     "\n",
+    "def _trim_filename(name):\n",
+    "    return name if len(name) < 40 else name[:25] + \"...\" + name[-12:]\n",
+    "\n",
+    "df[\"file\"] = [_trim_filename(f) for f in df[\"file\"]]\n",
+    "\n",
     "def plot_challenge_metrics(challenge_name: str) -> display.DisplayHandle:\n",
     "    challenge_df = df[df[\"challenge\"] == challenge_name]\n",
     "    fig = px.scatter(\n",

docs/notebooks/leaderboards/metagrating.ipynb

@@ -54,6 +54,11 @@
     "df[\"minimum_spacing_nm\"] = df[\"minimum_spacing\"] * grid_spacing_nm\n",
     "df[\"minimum_length_scale_nm\"] = df[\"minimum_length_scale\"] * grid_spacing_nm\n",
     "\n",
+    "def _trim_filename(name):\n",
+    "    return name if len(name) < 40 else name[:25] + \"...\" + name[-12:]\n",
+    "\n",
+    "df[\"file\"] = [_trim_filename(f) for f in df[\"file\"]]\n",
+    "\n",
     "def plot_challenge_metrics(challenge_name: str) -> display.DisplayHandle:\n",
     "    challenge_df = df[df[\"challenge\"] == challenge_name]\n",
     "    fig = px.scatter(\n",

docs/notebooks/leaderboards/metalens.ipynb

@@ -54,6 +54,11 @@
     "df[\"minimum_spacing_nm\"] = df[\"minimum_spacing\"] * grid_spacing_nm\n",
     "df[\"minimum_length_scale_nm\"] = df[\"minimum_length_scale\"] * grid_spacing_nm\n",
     "\n",
+    "def _trim_filename(name):\n",
+    "    return name if len(name) < 40 else name[:25] + \"...\" + name[-12:]\n",
+    "\n",
+    "df[\"file\"] = [_trim_filename(f) for f in df[\"file\"]]\n",
+    "\n",
     "def plot_challenge_metrics(challenge_name: str) -> display.DisplayHandle:\n",
     "    challenge_df = df[df[\"challenge\"] == challenge_name]\n",
     "    fig = px.scatter(\n",

docs/notebooks/leaderboards/photon_extractor.ipynb

@@ -54,6 +54,11 @@
     "df[\"minimum_spacing_nm\"] = df[\"minimum_spacing\"] * grid_spacing_nm\n",
     "df[\"minimum_length_scale_nm\"] = df[\"minimum_length_scale\"] * grid_spacing_nm\n",
     "\n",
+    "def _trim_filename(name):\n",
+    "    return name if len(name) < 40 else name[:25] + \"...\" + name[-12:]\n",
+    "\n",
+    "df[\"file\"] = [_trim_filename(f) for f in df[\"file\"]]\n",
+    "\n",
     "def plot_challenge_metrics(challenge_name: str) -> display.DisplayHandle:\n",
     "    challenge_df = df[df[\"challenge\"] == challenge_name]\n",
     "    fig = px.scatter(\n",