From 2cd8f7d5ec753e9b345d45d35e39079831e8e458 Mon Sep 17 00:00:00 2001 From: Ben Williams Date: Thu, 31 Aug 2023 00:52:50 +0000 Subject: [PATCH] making notebook plots nicer --- .../evaluation/embeddings/cluster.ipynb | 6 +- .../evaluation/embeddings/simple_ml.ipynb | 302 +++++++++--------- 2 files changed, 156 insertions(+), 152 deletions(-) diff --git a/code/simclr-pytorch-reefs/evaluation/embeddings/cluster.ipynb b/code/simclr-pytorch-reefs/evaluation/embeddings/cluster.ipynb index 9e12120..28b4117 100644 --- a/code/simclr-pytorch-reefs/evaluation/embeddings/cluster.ipynb +++ b/code/simclr-pytorch-reefs/evaluation/embeddings/cluster.ipynb @@ -184,12 +184,12 @@ }, { "cell_type": "code", - "execution_count": 37, + "execution_count": 38, "metadata": {}, "outputs": [ { "data": { - "image/png": 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"text/plain": [ "
" ] @@ -203,7 +203,7 @@ "import seaborn as sns\n", "\n", "# Set a nice color palette for the plot\n", - "sns.set_palette(\"husl\")\n", + "sns.set_palette(\"icefire\")\n", "\n", "# Create the bar plot\n", "plt.figure(figsize=(15, 10))\n", diff --git a/code/simclr-pytorch-reefs/evaluation/embeddings/simple_ml.ipynb b/code/simclr-pytorch-reefs/evaluation/embeddings/simple_ml.ipynb index f858e28..a5a5902 100644 --- a/code/simclr-pytorch-reefs/evaluation/embeddings/simple_ml.ipynb +++ b/code/simclr-pytorch-reefs/evaluation/embeddings/simple_ml.ipynb @@ -346,14 +346,12 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "### Make the df more readable\n", - "\n", - "Adds embedding and country column then sorts by these" + "### Make the df more readable" ] }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 4, "metadata": {}, "outputs": [ { @@ -377,8 +375,6 @@ " \n", " \n", " \n", - " Embedding\n", - " Location\n", " Test Accuracy\n", " Test Precision\n", " Test Recall\n", @@ -387,39 +383,39 @@ " Train Precision\n", " Train Recall\n", " Train F1\n", + " Embedding\n", + " Location\n", " \n", " \n", " \n", " \n", - " 0\n", - " ImageNet\n", - " australia\n", - " 0.743333\n", - " 0.743864\n", - " 0.743333\n", - " 0.743194\n", + " 14\n", + " 0.654167\n", + " 0.654693\n", + " 0.654167\n", + " 0.653872\n", " 1.000000\n", " 1.000000\n", " 1.000000\n", " 1.000000\n", - " \n", - " \n", - " 6\n", " ReefCLR\n", " australia\n", - " 0.654167\n", - " 0.654693\n", - " 0.654167\n", - " 0.653872\n", + " \n", + " \n", + " 1\n", + " 0.743333\n", + " 0.743864\n", + " 0.743333\n", + " 0.743194\n", " 1.000000\n", " 1.000000\n", " 1.000000\n", " 1.000000\n", + " ImageNet\n", + " australia\n", " \n", " \n", - " 12\n", - " VGGish\n", - " australia\n", + " 6\n", " 0.800000\n", " 0.800334\n", " 0.800000\n", @@ -428,11 +424,24 @@ " 1.000000\n", " 1.000000\n", " 1.000000\n", + " VGGish\n", + " australia\n", " \n", " \n", - " 1\n", - " ImageNet\n", + " 13\n", + " 0.585227\n", + " 0.550704\n", + " 0.585227\n", + " 0.565166\n", + " 0.958778\n", + " 0.957339\n", + " 0.958778\n", + " 0.957557\n", + " ReefCLR\n", " bermuda\n", + " \n", + " \n", + " 5\n", " 0.525568\n", " 0.475927\n", " 0.525568\n", @@ -441,24 +450,11 @@ " 0.965219\n", " 0.965885\n", " 0.965173\n", - " \n", - " \n", - " 7\n", - " ReefCLR\n", + " ImageNet\n", " bermuda\n", - " 0.585227\n", - " 0.550704\n", - " 0.585227\n", - " 0.565166\n", - " 0.958778\n", - " 0.957339\n", - " 0.958778\n", - " 0.957557\n", " \n", " \n", - " 13\n", - " VGGish\n", - " bermuda\n", + " 7\n", " 0.661932\n", " 0.641133\n", " 0.661932\n", @@ -467,11 +463,24 @@ " 0.952931\n", " 0.953802\n", " 0.953206\n", + " VGGish\n", + " bermuda\n", " \n", " \n", - " 2\n", - " ImageNet\n", + " 12\n", + " 0.918812\n", + " 0.918458\n", + " 0.918812\n", + " 0.917362\n", + " 1.000000\n", + " 1.000000\n", + " 1.000000\n", + " 1.000000\n", + " ReefCLR\n", " florida\n", + " \n", + " \n", + " 2\n", " 0.915842\n", " 0.915013\n", " 0.915842\n", @@ -480,37 +489,37 @@ " 1.000000\n", " 1.000000\n", " 1.000000\n", + " ImageNet\n", + " florida\n", " \n", " \n", " 8\n", - " ReefCLR\n", - " florida\n", - " 0.918812\n", - " 0.918458\n", - " 0.918812\n", - " 0.917362\n", + " 0.958416\n", + " 0.958293\n", + " 0.958416\n", + " 0.958337\n", " 1.000000\n", " 1.000000\n", " 1.000000\n", " 1.000000\n", - " \n", - " \n", - " 14\n", " VGGish\n", " florida\n", - " 0.958416\n", - " 0.958293\n", - " 0.958416\n", - " 0.958337\n", + " \n", + " \n", + " 11\n", + " 0.956570\n", + " 0.956580\n", + " 0.956570\n", + " 0.956570\n", " 1.000000\n", " 1.000000\n", " 1.000000\n", " 1.000000\n", + " ReefCLR\n", + " french_polynesia\n", " \n", " \n", " 3\n", - " ImageNet\n", - " french_polynesia\n", " 0.968820\n", " 0.968822\n", " 0.968820\n", @@ -519,37 +528,37 @@ " 1.000000\n", " 1.000000\n", " 1.000000\n", + " ImageNet\n", + " french_polynesia\n", " \n", " \n", - " 9\n", - " ReefCLR\n", - " french_polynesia\n", - " 0.956570\n", - " 0.956580\n", - " 0.956570\n", - " 0.956570\n", + " 17\n", + " 0.967706\n", + " 0.967763\n", + " 0.967706\n", + " 0.967705\n", " 1.000000\n", " 1.000000\n", " 1.000000\n", " 1.000000\n", - " \n", - " \n", - " 15\n", " VGGish\n", " french_polynesia\n", - " 0.967706\n", - " 0.967763\n", - " 0.967706\n", - " 0.967705\n", + " \n", + " \n", + " 10\n", + " 0.977556\n", + " 0.977341\n", + " 0.977556\n", + " 0.977433\n", " 1.000000\n", " 1.000000\n", " 1.000000\n", " 1.000000\n", + " ReefCLR\n", + " indonesia\n", " \n", " \n", " 4\n", - " ImageNet\n", - " indonesia\n", " 0.980050\n", " 0.979675\n", " 0.980050\n", @@ -558,37 +567,37 @@ " 1.000000\n", " 1.000000\n", " 1.000000\n", + " ImageNet\n", + " indonesia\n", " \n", " \n", - " 10\n", - " ReefCLR\n", - " indonesia\n", - " 0.977556\n", - " 0.977341\n", - " 0.977556\n", - " 0.977433\n", + " 9\n", + " 0.997506\n", + " 0.997513\n", + " 0.997506\n", + " 0.997493\n", " 1.000000\n", " 1.000000\n", " 1.000000\n", " 1.000000\n", + " VGGish\n", + " indonesia\n", " \n", " \n", " 16\n", - " VGGish\n", - " indonesia\n", - " 0.997506\n", - " 0.997513\n", - " 0.997506\n", - " 0.997493\n", + " 0.854545\n", + " 0.852821\n", + " 0.854545\n", + " 0.849890\n", " 1.000000\n", " 1.000000\n", " 1.000000\n", " 1.000000\n", + " ReefCLR\n", + " kenya\n", " \n", " \n", - " 5\n", - " ImageNet\n", - " kenya\n", + " 0\n", " 0.764706\n", " 0.823529\n", " 0.764706\n", @@ -597,24 +606,11 @@ " 1.000000\n", " 1.000000\n", " 1.000000\n", - " \n", - " \n", - " 11\n", - " ReefCLR\n", + " ImageNet\n", " kenya\n", - " 0.854545\n", - " 0.852821\n", - " 0.854545\n", - " 0.849890\n", - " 1.000000\n", - " 1.000000\n", - " 1.000000\n", - " 1.000000\n", " \n", " \n", - " 17\n", - " VGGish\n", - " kenya\n", + " 15\n", " 0.806061\n", " 0.800535\n", " 0.806061\n", @@ -623,54 +619,56 @@ " 1.000000\n", " 1.000000\n", " 1.000000\n", + " VGGish\n", + " kenya\n", " \n", " \n", "\n", "" ], "text/plain": [ - " Embedding Location Test Accuracy Test Precision Test Recall \\\n", - "0 ImageNet australia 0.743333 0.743864 0.743333 \n", - "6 ReefCLR australia 0.654167 0.654693 0.654167 \n", - "12 VGGish australia 0.800000 0.800334 0.800000 \n", - "1 ImageNet bermuda 0.525568 0.475927 0.525568 \n", - "7 ReefCLR bermuda 0.585227 0.550704 0.585227 \n", - "13 VGGish bermuda 0.661932 0.641133 0.661932 \n", - "2 ImageNet florida 0.915842 0.915013 0.915842 \n", - "8 ReefCLR florida 0.918812 0.918458 0.918812 \n", - "14 VGGish florida 0.958416 0.958293 0.958416 \n", - "3 ImageNet french_polynesia 0.968820 0.968822 0.968820 \n", - "9 ReefCLR french_polynesia 0.956570 0.956580 0.956570 \n", - "15 VGGish french_polynesia 0.967706 0.967763 0.967706 \n", - "4 ImageNet indonesia 0.980050 0.979675 0.980050 \n", - "10 ReefCLR indonesia 0.977556 0.977341 0.977556 \n", - "16 VGGish indonesia 0.997506 0.997513 0.997506 \n", - "5 ImageNet kenya 0.764706 0.823529 0.764706 \n", - "11 ReefCLR kenya 0.854545 0.852821 0.854545 \n", - "17 VGGish kenya 0.806061 0.800535 0.806061 \n", + " Test Accuracy Test Precision Test Recall Test F1 Train Accuracy \\\n", + "14 0.654167 0.654693 0.654167 0.653872 1.000000 \n", + "1 0.743333 0.743864 0.743333 0.743194 1.000000 \n", + "6 0.800000 0.800334 0.800000 0.799944 1.000000 \n", + "13 0.585227 0.550704 0.585227 0.565166 0.958778 \n", + "5 0.525568 0.475927 0.525568 0.485934 0.965885 \n", + "7 0.661932 0.641133 0.661932 0.634280 0.953802 \n", + "12 0.918812 0.918458 0.918812 0.917362 1.000000 \n", + "2 0.915842 0.915013 0.915842 0.915043 1.000000 \n", + "8 0.958416 0.958293 0.958416 0.958337 1.000000 \n", + "11 0.956570 0.956580 0.956570 0.956570 1.000000 \n", + "3 0.968820 0.968822 0.968820 0.968819 1.000000 \n", + "17 0.967706 0.967763 0.967706 0.967705 1.000000 \n", + "10 0.977556 0.977341 0.977556 0.977433 1.000000 \n", + "4 0.980050 0.979675 0.980050 0.979593 1.000000 \n", + "9 0.997506 0.997513 0.997506 0.997493 1.000000 \n", + "16 0.854545 0.852821 0.854545 0.849890 1.000000 \n", + "0 0.764706 0.823529 0.764706 0.703081 1.000000 \n", + "15 0.806061 0.800535 0.806061 0.799854 1.000000 \n", "\n", - " Test F1 Train Accuracy Train Precision Train Recall Train F1 \n", - "0 0.743194 1.000000 1.000000 1.000000 1.000000 \n", - "6 0.653872 1.000000 1.000000 1.000000 1.000000 \n", - "12 0.799944 1.000000 1.000000 1.000000 1.000000 \n", - "1 0.485934 0.965885 0.965219 0.965885 0.965173 \n", - "7 0.565166 0.958778 0.957339 0.958778 0.957557 \n", - "13 0.634280 0.953802 0.952931 0.953802 0.953206 \n", - "2 0.915043 1.000000 1.000000 1.000000 1.000000 \n", - "8 0.917362 1.000000 1.000000 1.000000 1.000000 \n", - "14 0.958337 1.000000 1.000000 1.000000 1.000000 \n", - "3 0.968819 1.000000 1.000000 1.000000 1.000000 \n", - "9 0.956570 1.000000 1.000000 1.000000 1.000000 \n", - "15 0.967705 1.000000 1.000000 1.000000 1.000000 \n", - "4 0.979593 1.000000 1.000000 1.000000 1.000000 \n", - "10 0.977433 1.000000 1.000000 1.000000 1.000000 \n", - "16 0.997493 1.000000 1.000000 1.000000 1.000000 \n", - "5 0.703081 1.000000 1.000000 1.000000 1.000000 \n", - "11 0.849890 1.000000 1.000000 1.000000 1.000000 \n", - "17 0.799854 1.000000 1.000000 1.000000 1.000000 " + " Train Precision Train Recall Train F1 Embedding Location \n", + "14 1.000000 1.000000 1.000000 ReefCLR australia \n", + "1 1.000000 1.000000 1.000000 ImageNet australia \n", + "6 1.000000 1.000000 1.000000 VGGish australia \n", + "13 0.957339 0.958778 0.957557 ReefCLR bermuda \n", + "5 0.965219 0.965885 0.965173 ImageNet bermuda \n", + "7 0.952931 0.953802 0.953206 VGGish bermuda \n", + "12 1.000000 1.000000 1.000000 ReefCLR florida \n", + "2 1.000000 1.000000 1.000000 ImageNet florida \n", + "8 1.000000 1.000000 1.000000 VGGish florida \n", + "11 1.000000 1.000000 1.000000 ReefCLR french_polynesia \n", + "3 1.000000 1.000000 1.000000 ImageNet french_polynesia \n", + "17 1.000000 1.000000 1.000000 VGGish french_polynesia \n", + "10 1.000000 1.000000 1.000000 ReefCLR indonesia \n", + "4 1.000000 1.000000 1.000000 ImageNet indonesia \n", + "9 1.000000 1.000000 1.000000 VGGish indonesia \n", + "16 1.000000 1.000000 1.000000 ReefCLR kenya \n", + "0 1.000000 1.000000 1.000000 ImageNet kenya \n", + "15 1.000000 1.000000 1.000000 VGGish kenya " ] }, - "execution_count": 41, + "execution_count": 4, "metadata": {}, "output_type": "execute_result" } @@ -684,8 +682,14 @@ "results_df.drop(columns=['Filename'], inplace=True)\n", "\n", "# Reorder the columns to have 'Embedding' and 'Country' at the beginning\n", - "column_order = ['Embedding', 'Location'] + [col for col in results_df.columns if col not in ['Embedding', 'Location']]\n", - "results_df = results_df[column_order]\n", + "#column_order = ['Embedding', 'Location'] + [col for col in results_df.columns if col not in ['Embedding', 'Location']]\n", + "#results_df = results_df[column_order]\n", + "\n", + "# Specify the desired order for the 'Embedding' column\n", + "ordered_categories = ['ReefCLR', 'ImageNet', 'VGGish']\n", + "\n", + "# Convert the 'Embedding' column to a categorical type with the specified order\n", + "results_df['Embedding'] = pd.Categorical(results_df['Embedding'], categories=ordered_categories, ordered=True)\n", "\n", "# Sort the DataFrame by the 'Country' and then by 'Embedding' columns\n", "results_df = results_df.sort_values(by=['Location', 'Embedding'])\n", @@ -696,7 +700,7 @@ }, { "cell_type": "code", - "execution_count": 42, + "execution_count": 5, "metadata": {}, "outputs": [], "source": [ @@ -709,12 +713,12 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 6, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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", 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" ] @@ -728,7 +732,7 @@ "import seaborn as sns\n", "\n", "# Set a nice color palette for the plot\n", - "sns.set_palette(\"husl\")\n", + "sns.set_palette(\"icefire\")\n", "\n", "# Create the bar plot\n", "plt.figure(figsize=(15, 10))\n",