demo/summarize_by_case.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "c217f162-d86d-489f-b6a8-6bd82a98181a",
   "metadata": {},
   "source": [
    "# Case-by-case analysis\n",
    "This notebook demonstrates how to visualize which model managed to solve which test-case how often."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "d7c80449-8b7b-41a7-a92c-f7edfd443e46",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import os\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "c7abf5c6-62ac-4597-8aec-b5b9ab9503b3",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "samples_claude-3-opus-20240229.jsonl_results.jsonl\n",
      "samples_codellama.jsonl_results.jsonl\n",
      "samples_gemini-pro.jsonl_results.jsonl\n",
      "samples_gpt-3.5-turbo-1106.jsonl_results.jsonl\n",
      "samples_gpt-4-1106-preview.jsonl_results.jsonl\n",
      "samples_gpt-4-turbo-2024-04-09.jsonl_results.jsonl\n",
      "samples_reference.jsonl_results.jsonl\n"
     ]
    }
   ],
   "source": [
    "directory = \"../data/\"\n",
    "\n",
    "collection = []\n",
    "for filename in os.listdir(directory):\n",
    "    if filename.endswith(\"_results.jsonl\"):\n",
    "        print(filename)\n",
    "        df = pd.read_json(directory + filename, lines=True)\n",
    "        df['model'] = filename.replace(\".jsonl_results.jsonl\", \"\").replace(\"samples_\", \"\")\n",
    "        collection.append(df)\n",
    "\n",
    "df = pd.concat(collection)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "a2cceb48-c75c-4b76-a984-322f3a055062",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<style scoped>\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>task_id</th>\n",
       "      <th>completion</th>\n",
       "      <th>full_response</th>\n",
       "      <th>result</th>\n",
       "      <th>passed</th>\n",
       "      <th>model</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>../test_cases/apply_otsu_threshold_and_count_p...</td>\n",
       "      <td>\\nimport cv2\\nimport numpy as np\\n\\ndef apply_...</td>\n",
       "      <td>Here's the completed code with a step-by-step ...</td>\n",
       "      <td>failed: OpenCV(4.9.0) d:\\a\\opencv-python\\openc...</td>\n",
       "      <td>False</td>\n",
       "      <td>claude-3-opus-20240229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>../test_cases/binary_closing.ipynb</td>\n",
       "      <td>\\nimport numpy as np\\nfrom scipy.ndimage impor...</td>\n",
       "      <td>Here's the completed code with the plan, impor...</td>\n",
       "      <td>passed</td>\n",
       "      <td>True</td>\n",
       "      <td>claude-3-opus-20240229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>../test_cases/binary_skeleton.ipynb</td>\n",
       "      <td>\\nimport numpy as np\\nimport cv2\\n\\ndef binary...</td>\n",
       "      <td>Here's the completed code with a step-by-step ...</td>\n",
       "      <td>failed: module 'cv2' has no attribute 'ximgproc'</td>\n",
       "      <td>False</td>\n",
       "      <td>claude-3-opus-20240229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>../test_cases/bland_altman.ipynb</td>\n",
       "      <td>\\n# Plan:\\n# 1. Check if the specified columns...</td>\n",
       "      <td>Here's the completed code with the plan, impor...</td>\n",
       "      <td>passed</td>\n",
       "      <td>True</td>\n",
       "      <td>claude-3-opus-20240229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>../test_cases/combine_columns_of_tables.ipynb</td>\n",
       "      <td>\\n# Plan:\\n# 1. Check if the index column is p...</td>\n",
       "      <td>Here's the completed code with comments, impor...</td>\n",
       "      <td>failed: Can only compare identically-labeled (...</td>\n",
       "      <td>False</td>\n",
       "      <td>claude-3-opus-20240229</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>565</th>\n",
       "      <td>../test_cases/workflow_batch_process_folder_me...</td>\n",
       "      <td>\\n    import os\\n    import pandas as pd\\n    ...</td>\n",
       "      <td>\\n    import os\\n    import pandas as pd\\n    ...</td>\n",
       "      <td>passed</td>\n",
       "      <td>True</td>\n",
       "      <td>reference</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>566</th>\n",
       "      <td>../test_cases/workflow_segmentation_counting.i...</td>\n",
       "      <td>\\n    import skimage\\n    import numpy as np\\n...</td>\n",
       "      <td>\\n    import skimage\\n    import numpy as np\\n...</td>\n",
       "      <td>passed</td>\n",
       "      <td>True</td>\n",
       "      <td>reference</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>567</th>\n",
       "      <td>../test_cases/workflow_segmentation_measuremen...</td>\n",
       "      <td>\\n    import skimage\\n    import numpy as np\\n...</td>\n",
       "      <td>\\n    import skimage\\n    import numpy as np\\n...</td>\n",
       "      <td>passed</td>\n",
       "      <td>True</td>\n",
       "      <td>reference</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>568</th>\n",
       "      <td>../test_cases/workflow_segment_measure_umap.ipynb</td>\n",
       "      <td>\\n    import numpy as np\\n    import pandas as...</td>\n",
       "      <td>\\n    import numpy as np\\n    import pandas as...</td>\n",
       "      <td>passed</td>\n",
       "      <td>True</td>\n",
       "      <td>reference</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>569</th>\n",
       "      <td>../test_cases/workflow_watershed_segmentation_...</td>\n",
       "      <td>\\n    import skimage\\n    blurred = skimage.fi...</td>\n",
       "      <td>\\n    import skimage\\n    blurred = skimage.fi...</td>\n",
       "      <td>passed</td>\n",
       "      <td>True</td>\n",
       "      <td>reference</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>3990 rows × 6 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                               task_id  \\\n",
       "0    ../test_cases/apply_otsu_threshold_and_count_p...   \n",
       "1                   ../test_cases/binary_closing.ipynb   \n",
       "2                  ../test_cases/binary_skeleton.ipynb   \n",
       "3                     ../test_cases/bland_altman.ipynb   \n",
       "4        ../test_cases/combine_columns_of_tables.ipynb   \n",
       "..                                                 ...   \n",
       "565  ../test_cases/workflow_batch_process_folder_me...   \n",
       "566  ../test_cases/workflow_segmentation_counting.i...   \n",
       "567  ../test_cases/workflow_segmentation_measuremen...   \n",
       "568  ../test_cases/workflow_segment_measure_umap.ipynb   \n",
       "569  ../test_cases/workflow_watershed_segmentation_...   \n",
       "\n",
       "                                            completion  \\\n",
       "0    \\nimport cv2\\nimport numpy as np\\n\\ndef apply_...   \n",
       "1    \\nimport numpy as np\\nfrom scipy.ndimage impor...   \n",
       "2    \\nimport numpy as np\\nimport cv2\\n\\ndef binary...   \n",
       "3    \\n# Plan:\\n# 1. Check if the specified columns...   \n",
       "4    \\n# Plan:\\n# 1. Check if the index column is p...   \n",
       "..                                                 ...   \n",
       "565  \\n    import os\\n    import pandas as pd\\n    ...   \n",
       "566  \\n    import skimage\\n    import numpy as np\\n...   \n",
       "567  \\n    import skimage\\n    import numpy as np\\n...   \n",
       "568  \\n    import numpy as np\\n    import pandas as...   \n",
       "569  \\n    import skimage\\n    blurred = skimage.fi...   \n",
       "\n",
       "                                         full_response  \\\n",
       "0    Here's the completed code with a step-by-step ...   \n",
       "1    Here's the completed code with the plan, impor...   \n",
       "2    Here's the completed code with a step-by-step ...   \n",
       "3    Here's the completed code with the plan, impor...   \n",
       "4    Here's the completed code with comments, impor...   \n",
       "..                                                 ...   \n",
       "565  \\n    import os\\n    import pandas as pd\\n    ...   \n",
       "566  \\n    import skimage\\n    import numpy as np\\n...   \n",
       "567  \\n    import skimage\\n    import numpy as np\\n...   \n",
       "568  \\n    import numpy as np\\n    import pandas as...   \n",
       "569  \\n    import skimage\\n    blurred = skimage.fi...   \n",
       "\n",
       "                                                result  passed  \\\n",
       "0    failed: OpenCV(4.9.0) d:\\a\\opencv-python\\openc...   False   \n",
       "1                                               passed    True   \n",
       "2     failed: module 'cv2' has no attribute 'ximgproc'   False   \n",
       "3                                               passed    True   \n",
       "4    failed: Can only compare identically-labeled (...   False   \n",
       "..                                                 ...     ...   \n",
       "565                                             passed    True   \n",
       "566                                             passed    True   \n",
       "567                                             passed    True   \n",
       "568                                             passed    True   \n",
       "569                                             passed    True   \n",
       "\n",
       "                      model  \n",
       "0    claude-3-opus-20240229  \n",
       "1    claude-3-opus-20240229  \n",
       "2    claude-3-opus-20240229  \n",
       "3    claude-3-opus-20240229  \n",
       "4    claude-3-opus-20240229  \n",
       "..                      ...  \n",
       "565               reference  \n",
       "566               reference  \n",
       "567               reference  \n",
       "568               reference  \n",
       "569               reference  \n",
       "\n",
       "[3990 rows x 6 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "3631b04d-beab-4a44-9597-1b4fcca2d42a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>model</th>\n",
       "      <th>task_id</th>\n",
       "      <th>claude-3-opus-20240229</th>\n",
       "      <th>codellama</th>\n",
       "      <th>gemini-pro</th>\n",
       "      <th>gpt-3.5-turbo-1106</th>\n",
       "      <th>gpt-4-1106-preview</th>\n",
       "      <th>gpt-4-turbo-2024-04-09</th>\n",
       "      <th>reference</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>apply_otsu_threshold_and_count_postiive_pixels</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>binary_closing</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.4</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>binary_skeleton</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.9</td>\n",
       "      <td>0.8</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>bland_altman</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.6</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>combine_columns_of_tables</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.9</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>convex_hull_measure_area</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.9</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>convolve_images</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>count_number_of_touching_neighbors</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.6</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>count_objects_over_time</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>count_overlapping_regions</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.4</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>create_umap</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.9</td>\n",
       "      <td>0.8</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>crop_quarter_image</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.7</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>deconvolve_image</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>detect_edges</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>expand_labels_without_overlap</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>extract_surface_measure_area</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>fit_circle</td>\n",
       "      <td>0.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.9</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>label_binary_image_and_count_labels</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.8</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>label_sequentially</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.7</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>list_image_files_in_folder</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>map_pixel_count_of_labels</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>mask_image</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.3</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>maximum_intensity_projection</td>\n",
       "      <td>0.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>mean_squared_error</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>mean_std_column</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>measure_aspect_ratio_of_regions</td>\n",
       "      <td>0.9</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>measure_intensity_of_labels</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>measure_intensity_over_time</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.9</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>measure_mean_image_intensity</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.7</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>measure_pixel_count_of_labels</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.2</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>measure_properties_of_regions</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.4</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>open_image_read_voxel_size</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>open_image_return_dimensions</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>open_nifti_image</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.8</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>open_zarr</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>pair_wise_correlation_matrix</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.9</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>radial_intensity_profile</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.7</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>region_growing_segmentation</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>remove_labels_on_edges</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.7</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>remove_noise_edge_preserving</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>remove_small_labels</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.8</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>return_hello_world</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.6</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>rgb_to_grey_image_transform</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>rotate_image_by_90_degrees</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.6</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>44</th>\n",
       "      <td>subsample_image</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.6</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>subtract_background_tophat</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.3</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>sum_images</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>sum_intensity_projection</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.8</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>t_test</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.9</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>tiled_image_processing</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>transpose_image_axes</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.6</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>workflow_batch_process_folder_count_labels</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.1</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>workflow_batch_process_folder_measure_intensity</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.9</td>\n",
       "      <td>0.5</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>workflow_segment_measure_umap</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.9</td>\n",
       "      <td>0.8</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>workflow_segmentation_counting</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.7</td>\n",
       "      <td>0.8</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>workflow_segmentation_measurement_summary</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.5</td>\n",
       "      <td>0.8</td>\n",
       "      <td>0.9</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>workflow_watershed_segmentation_correction_mea...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "model                                            task_id  \\\n",
       "0         apply_otsu_threshold_and_count_postiive_pixels   \n",
       "1                                         binary_closing   \n",
       "2                                        binary_skeleton   \n",
       "3                                           bland_altman   \n",
       "4                              combine_columns_of_tables   \n",
       "5                               convex_hull_measure_area   \n",
       "6                                        convolve_images   \n",
       "7                     count_number_of_touching_neighbors   \n",
       "8                                count_objects_over_time   \n",
       "9                              count_overlapping_regions   \n",
       "10                                           create_umap   \n",
       "11                                    crop_quarter_image   \n",
       "12                                      deconvolve_image   \n",
       "13                                          detect_edges   \n",
       "14                         expand_labels_without_overlap   \n",
       "15                          extract_surface_measure_area   \n",
       "16                                            fit_circle   \n",
       "17                   label_binary_image_and_count_labels   \n",
       "18                                    label_sequentially   \n",
       "19                            list_image_files_in_folder   \n",
       "20                             map_pixel_count_of_labels   \n",
       "21                                            mask_image   \n",
       "22                          maximum_intensity_projection   \n",
       "23                                    mean_squared_error   \n",
       "24                                       mean_std_column   \n",
       "25                       measure_aspect_ratio_of_regions   \n",
       "26                           measure_intensity_of_labels   \n",
       "27                           measure_intensity_over_time   \n",
       "28                          measure_mean_image_intensity   \n",
       "29                         measure_pixel_count_of_labels   \n",
       "30                         measure_properties_of_regions   \n",
       "31                            open_image_read_voxel_size   \n",
       "32                          open_image_return_dimensions   \n",
       "33                                      open_nifti_image   \n",
       "34                                             open_zarr   \n",
       "35                          pair_wise_correlation_matrix   \n",
       "36                              radial_intensity_profile   \n",
       "37                           region_growing_segmentation   \n",
       "38                                remove_labels_on_edges   \n",
       "39                          remove_noise_edge_preserving   \n",
       "40                                   remove_small_labels   \n",
       "41                                    return_hello_world   \n",
       "42                           rgb_to_grey_image_transform   \n",
       "43                            rotate_image_by_90_degrees   \n",
       "44                                       subsample_image   \n",
       "45                            subtract_background_tophat   \n",
       "46                                            sum_images   \n",
       "47                              sum_intensity_projection   \n",
       "48                                                t_test   \n",
       "49                                tiled_image_processing   \n",
       "50                                  transpose_image_axes   \n",
       "51            workflow_batch_process_folder_count_labels   \n",
       "52       workflow_batch_process_folder_measure_intensity   \n",
       "53                         workflow_segment_measure_umap   \n",
       "54                        workflow_segmentation_counting   \n",
       "55             workflow_segmentation_measurement_summary   \n",
       "56     workflow_watershed_segmentation_correction_mea...   \n",
       "\n",
       "model  claude-3-opus-20240229  codellama  gemini-pro  gpt-3.5-turbo-1106  \\\n",
       "0                         0.0        0.0         0.1                 0.0   \n",
       "1                         1.0        0.0         0.0                 0.1   \n",
       "2                         0.6        0.1         0.0                 0.1   \n",
       "3                         1.0        0.2         0.6                 1.0   \n",
       "4                         0.1        0.1         0.7                 0.9   \n",
       "5                         1.0        0.2         0.2                 0.8   \n",
       "6                         0.7        0.0         0.0                 0.1   \n",
       "7                         0.1        0.0         0.0                 0.1   \n",
       "8                         0.6        0.1         0.2                 0.1   \n",
       "9                         1.0        0.0         0.0                 0.4   \n",
       "10                        1.0        0.0         0.8                 1.0   \n",
       "11                        0.7        0.1         0.9                 0.0   \n",
       "12                        0.0        0.0         0.0                 0.0   \n",
       "13                        0.0        0.0         0.0                 0.1   \n",
       "14                        0.0        0.0         0.0                 0.0   \n",
       "15                        0.0        0.0         0.0                 0.0   \n",
       "16                        0.9        0.0         0.5                 0.8   \n",
       "17                        0.7        0.3         0.6                 0.0   \n",
       "18                        1.0        0.1         0.1                 0.8   \n",
       "19                        0.0        0.0         0.0                 0.0   \n",
       "20                        0.0        0.1         0.0                 0.3   \n",
       "21                        0.0        0.0         0.0                 0.6   \n",
       "22                        0.9        0.0         0.0                 1.0   \n",
       "23                        0.0        0.0         0.0                 0.8   \n",
       "24                        0.4        0.1         0.0                 0.0   \n",
       "25                        0.9        0.0         0.0                 0.1   \n",
       "26                        0.4        0.0         0.0                 0.1   \n",
       "27                        0.4        0.1         0.0                 0.4   \n",
       "28                        0.4        0.5         0.0                 0.1   \n",
       "29                        0.0        0.0         0.0                 0.1   \n",
       "30                        0.6        0.1         0.0                 0.2   \n",
       "31                        0.0        0.0         0.0                 0.0   \n",
       "32                        0.0        0.1         0.2                 0.0   \n",
       "33                        1.0        0.3         0.8                 1.0   \n",
       "34                        0.7        0.0         0.2                 0.0   \n",
       "35                        1.0        0.1         0.5                 1.0   \n",
       "36                        0.5        0.0         0.1                 0.3   \n",
       "37                        0.5        0.0         0.0                 0.1   \n",
       "38                        0.6        0.2         0.1                 0.7   \n",
       "39                        0.2        0.0         0.0                 0.0   \n",
       "40                        0.8        0.2         0.1                 0.7   \n",
       "41                        1.0        0.6         1.0                 1.0   \n",
       "42                        0.0        0.1         0.0                 0.1   \n",
       "43                        0.3        0.0         0.6                 0.6   \n",
       "44                        0.2        0.2         0.1                 0.6   \n",
       "45                        0.8        0.0         0.0                 0.0   \n",
       "46                        0.0        0.1         0.0                 0.1   \n",
       "47                        0.8        0.1         0.1                 0.0   \n",
       "48                        1.0        0.3         0.5                 1.0   \n",
       "49                        0.0        0.0         0.0                 0.0   \n",
       "50                        1.0        0.5         0.2                 1.0   \n",
       "51                        0.0        0.0         0.0                 0.0   \n",
       "52                        0.0        0.0         0.0                 0.1   \n",
       "53                        0.7        0.0         0.2                 0.1   \n",
       "54                        0.3        0.0         0.0                 0.0   \n",
       "55                        1.0        0.1         0.5                 0.5   \n",
       "56                        0.0        0.0         0.0                 0.1   \n",
       "\n",
       "model  gpt-4-1106-preview  gpt-4-turbo-2024-04-09  reference  \n",
       "0                     0.0                     0.0        1.0  \n",
       "1                     0.6                     0.4        1.0  \n",
       "2                     0.9                     0.8        1.0  \n",
       "3                     1.0                     1.0        1.0  \n",
       "4                     1.0                     0.8        1.0  \n",
       "5                     0.7                     0.9        1.0  \n",
       "6                     0.4                     0.5        1.0  \n",
       "7                     0.2                     0.6        1.0  \n",
       "8                     0.5                     0.5        1.0  \n",
       "9                     1.0                     1.0        1.0  \n",
       "10                    0.9                     0.8        1.0  \n",
       "11                    0.0                     0.7        1.0  \n",
       "12                    0.0                     0.0        1.0  \n",
       "13                    0.0                     0.0        1.0  \n",
       "14                    0.0                     0.1        1.0  \n",
       "15                    0.0                     0.0        1.0  \n",
       "16                    0.7                     0.9        1.0  \n",
       "17                    0.8                     0.8        1.0  \n",
       "18                    0.7                     0.7        1.0  \n",
       "19                    0.2                     0.0        1.0  \n",
       "20                    0.0                     0.0        1.0  \n",
       "21                    0.2                     0.3        1.0  \n",
       "22                    1.0                     1.0        1.0  \n",
       "23                    0.1                     0.1        1.0  \n",
       "24                    0.0                     0.0        1.0  \n",
       "25                    0.4                     0.0        1.0  \n",
       "26                    0.4                     0.2        1.0  \n",
       "27                    0.1                     0.9        1.0  \n",
       "28                    0.5                     0.7        1.0  \n",
       "29                    0.8                     0.2        1.0  \n",
       "30                    0.8                     0.4        1.0  \n",
       "31                    0.0                     0.0        1.0  \n",
       "32                    0.0                     0.0        1.0  \n",
       "33                    1.0                     1.0        1.0  \n",
       "34                    0.0                     0.0        1.0  \n",
       "35                    0.9                     1.0        1.0  \n",
       "36                    0.5                     0.7        1.0  \n",
       "37                    0.0                     0.0        1.0  \n",
       "38                    0.5                     0.7        1.0  \n",
       "39                    0.0                     0.0        1.0  \n",
       "40                    0.8                     0.8        1.0  \n",
       "41                    1.0                     1.0        1.0  \n",
       "42                    0.0                     0.0        1.0  \n",
       "43                    0.2                     0.6        1.0  \n",
       "44                    1.0                     0.8        1.0  \n",
       "45                    0.4                     0.3        1.0  \n",
       "46                    0.0                     0.1        1.0  \n",
       "47                    1.0                     0.8        1.0  \n",
       "48                    0.9                     1.0        1.0  \n",
       "49                    0.0                     0.2        1.0  \n",
       "50                    0.6                     0.6        1.0  \n",
       "51                    0.3                     0.1        1.0  \n",
       "52                    0.9                     0.5        1.0  \n",
       "53                    0.9                     0.8        1.0  \n",
       "54                    0.7                     0.8        1.0  \n",
       "55                    0.8                     0.9        1.0  \n",
       "56                    0.2                     0.0        1.0  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Ensure the 'passed' column is boolean for correct processing.\n",
    "df['passed'] = df['passed'].astype(bool)\n",
    "# shorten task name\n",
    "df['task_id'] = [str(t).replace(\"../test_cases/\", \"\").replace(\".ipynb\",\"\") for t in df['task_id']]\n",
    "\n",
    "# Pivot the dataframe to count True 'passed' values for each model-task combination.\n",
    "pivot_df = df.pivot_table(index='task_id', columns='model', values='passed', aggfunc='mean', fill_value=0)\n",
    "\n",
    "# Reset the index if 'task_id' needs to be a column instead of an index\n",
    "pivot_df.reset_index(inplace=True)\n",
    "\n",
    "# Apply formatting to display only two digits after the decimal point for all columns after the first (task_id column)\n",
    "pivot_df = pivot_df.round(2)\n",
    "\n",
    "pivot_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "c066d286-df37-4b4e-8bfa-a8bf066cd301",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.13.2\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x1600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import seaborn as sns\n",
    "\n",
    "print(sns.__version__)\n",
    "sns.set_style(\"white\")\n",
    "\n",
    "df = pivot_df\n",
    "\n",
    "# Separate the numerical data for plotting and the string column for y-axis labels\n",
    "numerical_data = df.select_dtypes(include=[np.number])\n",
    "mean_values = numerical_data.mean().sort_values(ascending=False)\n",
    "\n",
    "# Reorder columns in numerical_data based on sorted mean values\n",
    "numerical_data = numerical_data[mean_values.index]\n",
    "\n",
    "str_column_values = df['task_id']  # Replace 'str_column' with the actual column name\n",
    "\n",
    "\n",
    "# Plotting\n",
    "fig = plt.figure(figsize=(8,16))\n",
    "sns.heatmap(numerical_data, annot=True, linewidths=.5, yticklabels=str_column_values, fmt=\".1f\", cbar_kws={'shrink': 1, 'aspect': 3*16}, cmap=\"Blues\")\n",
    "\n",
    "plt.savefig(\"../docs/paper/performance_per_task\", bbox_inches=\"tight\", dpi=300)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "0c7a15c9-0ec4-45d1-bde1-358a71da95b8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>model</th>\n",
       "      <th>claude-3-opus-20240229</th>\n",
       "      <th>codellama</th>\n",
       "      <th>gemini-pro</th>\n",
       "      <th>gpt-3.5-turbo-1106</th>\n",
       "      <th>gpt-4-1106-preview</th>\n",
       "      <th>gpt-4-turbo-2024-04-09</th>\n",
       "      <th>reference</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>57.000000</td>\n",
       "      <td>57.000000</td>\n",
       "      <td>57.000000</td>\n",
       "      <td>57.000000</td>\n",
       "      <td>57.000000</td>\n",
       "      <td>57.000000</td>\n",
       "      <td>57.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>0.470175</td>\n",
       "      <td>0.087719</td>\n",
       "      <td>0.173684</td>\n",
       "      <td>0.333333</td>\n",
       "      <td>0.464912</td>\n",
       "      <td>0.473684</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.402210</td>\n",
       "      <td>0.136369</td>\n",
       "      <td>0.275504</td>\n",
       "      <td>0.379065</td>\n",
       "      <td>0.386602</td>\n",
       "      <td>0.381504</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>0.500000</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>0.900000</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.700000</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>0.800000</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.600000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "model  claude-3-opus-20240229  codellama  gemini-pro  gpt-3.5-turbo-1106  \\\n",
       "count               57.000000  57.000000   57.000000           57.000000   \n",
       "mean                 0.470175   0.087719    0.173684            0.333333   \n",
       "std                  0.402210   0.136369    0.275504            0.379065   \n",
       "min                  0.000000   0.000000    0.000000            0.000000   \n",
       "25%                  0.000000   0.000000    0.000000            0.000000   \n",
       "50%                  0.500000   0.000000    0.000000            0.100000   \n",
       "75%                  0.900000   0.100000    0.200000            0.700000   \n",
       "max                  1.000000   0.600000    1.000000            1.000000   \n",
       "\n",
       "model  gpt-4-1106-preview  gpt-4-turbo-2024-04-09  reference  \n",
       "count           57.000000               57.000000       57.0  \n",
       "mean             0.464912                0.473684        1.0  \n",
       "std              0.386602                0.381504        0.0  \n",
       "min              0.000000                0.000000        1.0  \n",
       "25%              0.000000                0.000000        1.0  \n",
       "50%              0.500000                0.500000        1.0  \n",
       "75%              0.800000                0.800000        1.0  \n",
       "max              1.000000                1.000000        1.0  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pivot_df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "18a23c85-d50e-4ba0-a639-04824910fc59",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Assuming pivot_df has 'task_id' as a non-numerical column and the rest are numerical and need to be plotted\n",
    "numerical_data = pivot_df.drop(columns=['task_id'])\n",
    "\n",
    "# Calculate the mean of each column and sort these means in descending order\n",
    "mean_values = numerical_data.mean().sort_values(ascending=False)\n",
    "\n",
    "# Reorder columns in numerical_data based on sorted mean values\n",
    "ordered_numerical_data = numerical_data[mean_values.index]\n",
    "\n",
    "# Plotting the boxplot with reordered columns\n",
    "plt.figure(figsize=(5, 5))\n",
    "#boxplot = plt.boxplot(ordered_numerical_data, patch_artist=True, labels=ordered_numerical_data.columns)\n",
    "\n",
    "boxplot = sns.boxplot(ordered_numerical_data, palette= \"Set2\", width=0.5, linewidth=0.75)\n",
    "sns.despine(offset=1, trim=True);\n",
    "# Adding colors\n",
    "# colors = ['lightblue'] * len(ordered_numerical_data.columns)\n",
    "#for patch, color in zip(boxplot['boxes'], colors):\n",
    "#    patch.set_facecolor(color)\n",
    "\n",
    "# plt.title('Pass rate for generated BIA Python code')\n",
    "plt.xticks(rotation=90)  # Rotate labels to avoid overlap\n",
    "plt.ylabel('Pass rate')  # Optionally adjust the label to suit the data context\n",
    "plt.tight_layout()  # Adjust layout to make room for the rotated x-axis labels\n",
    "\n",
    "plt.savefig(\"../docs/paper/pass_rate_llms.png\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "992fa640-dc56-4284-9aa4-ce6f0ae41c5b",
   "metadata": {},
   "outputs": [],
   "source": [
    "with open(\"model_order.txt\", 'w') as f:\n",
    "    for item in ordered_numerical_data.columns:\n",
    "        f.write(str(item) + '\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9e18d634-3e8a-47cb-a1fe-43efd47a7741",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.10.14"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}