{ "cells": [ { "cell_type": "code", "execution_count": 1, "id": "35680eb3", "metadata": {}, "outputs": [], "source": [ "import os\n", "from collections import defaultdict\n", "from datetime import datetime" ] }, { "cell_type": "code", "execution_count": 2, "id": "3473f145", "metadata": { "scrolled": true }, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "šŸŒ¤ļø Top 3 Days for Each Cloud Type:\n", "\n", "ā˜ļø Clear Sky:\n", " šŸ„‡ 2024-05-11 (321 plots)\n", " šŸ„ˆ 2024-04-12 (93 plots)\n", " šŸ„‰ 2024-05-12 (88 plots)\n", "ā˜ļø Shallow Cumulus:\n", " šŸ„‡ 2024-03-20 (124 plots)\n", " šŸ„ˆ 2024-05-23 (56 plots)\n", " šŸ„‰ 2024-04-20 (50 plots)\n", "ā˜ļø Stratocumulus:\n", " šŸ„‡ 2024-05-03 (42 plots)\n", " šŸ„ˆ 2024-05-23 (36 plots)\n", " šŸ„‰ 2024-04-11 (20 plots)\n" ] } ], "source": [ "\n", "# Set your base directory\n", "sonic_base_dir = r\"C:\\Users\\magda\\Master_Thesis\\Sonic\"\n", "\n", "# Dictionary to store image count per date per cloud type\n", "cloud_type_daily_counts = defaultdict(lambda: defaultdict(int))\n", "\n", "# Walk through months and days\n", "for month_folder in os.listdir(sonic_base_dir):\n", " month_path = os.path.join(sonic_base_dir, month_folder)\n", " if not os.path.isdir(month_path):\n", " continue\n", "\n", " for day_folder in os.listdir(month_path):\n", " day_path = os.path.join(month_path, day_folder)\n", " if not os.path.isdir(day_path):\n", " continue\n", "\n", " cloud_profiles_path = os.path.join(day_path, \"cloud_profiles\")\n", " if not os.path.exists(cloud_profiles_path):\n", " continue\n", "\n", " # Go through each cloud type folder (if any)\n", " for cloud_type_folder in os.listdir(cloud_profiles_path):\n", " cloud_type_path = os.path.join(cloud_profiles_path, cloud_type_folder)\n", " if not os.path.isdir(cloud_type_path):\n", " continue\n", "\n", " # Count how many PNGs are in this cloud type folder for this day\n", " num_images = len([f for f in os.listdir(cloud_type_path) if f.endswith(\".png\")])\n", " if num_images > 0:\n", " cloud_type_daily_counts[cloud_type_folder][day_folder] += num_images\n", "\n", "# Find the top 3 days for each cloud type\n", "print(\"\\nšŸŒ¤ļø Top 3 Days for Each Cloud Type:\\n\")\n", "\n", "for cloud_type, day_counts in cloud_type_daily_counts.items():\n", " if not day_counts:\n", " continue\n", "\n", " # Sort days by number of plots (descending)\n", " sorted_days = sorted(day_counts.items(), key=lambda x: x[1], reverse=True)\n", "\n", " print(f\"ā˜ļø {cloud_type.replace('_', ' ')}:\")\n", "\n", " # šŸ„‡ Top Day\n", " if len(sorted_days) >= 1:\n", " print(f\" šŸ„‡ {sorted_days[0][0]} ({sorted_days[0][1]} plots)\")\n", " else:\n", " print(f\" šŸ„‡ Not available\")\n", "\n", " # šŸ„ˆ Second Best\n", " if len(sorted_days) >= 2:\n", " print(f\" šŸ„ˆ {sorted_days[1][0]} ({sorted_days[1][1]} plots)\")\n", " else:\n", " print(f\" šŸ„ˆ Not available\")\n", "\n", " # šŸ„‰ Third Best\n", " if len(sorted_days) >= 3:\n", " print(f\" šŸ„‰ {sorted_days[2][0]} ({sorted_days[2][1]} plots)\")\n", " else:\n", " print(f\" šŸ„‰ Not available\")" ] }, { "cell_type": "code", "execution_count": 3, "id": "15857112", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "šŸ“… Dates with cloud_profiles:\n", "\n", " - 2024-03\\2024-03-14\n", " - 2024-03\\2024-03-15\n", " - 2024-03\\2024-03-17\n", " - 2024-03\\2024-03-19\n", " - 2024-03\\2024-03-20\n", " - 2024-03\\2024-03-21\n", " - 2024-03\\2024-03-22\n", " - 2024-03\\2024-03-23\n", " - 2024-03\\2024-03-24\n", " - 2024-03\\2024-03-25\n", " - 2024-03\\2024-03-26\n", " - 2024-03\\2024-03-27\n", " - 2024-03\\2024-03-28\n", " - 2024-04\\2024-04-04\n", " - 2024-04\\2024-04-05\n", " - 2024-04\\2024-04-06\n", " - 2024-04\\2024-04-07\n", " - 2024-04\\2024-04-08\n", " - 2024-04\\2024-04-09\n", " - 2024-04\\2024-04-10\n", " - 2024-04\\2024-04-11\n", " - 2024-04\\2024-04-12\n", " - 2024-04\\2024-04-13\n", " - 2024-04\\2024-04-14\n", " - 2024-04\\2024-04-15\n", " - 2024-04\\2024-04-16\n", " - 2024-04\\2024-04-17\n", " - 2024-04\\2024-04-18\n", " - 2024-04\\2024-04-19\n", " - 2024-04\\2024-04-20\n", " - 2024-05\\2024-05-02\n", " - 2024-05\\2024-05-03\n", " - 2024-05\\2024-05-04\n", " - 2024-05\\2024-05-05\n", " - 2024-05\\2024-05-06\n", " - 2024-05\\2024-05-07\n", " - 2024-05\\2024-05-08\n", " - 2024-05\\2024-05-09\n", " - 2024-05\\2024-05-10\n", " - 2024-05\\2024-05-11\n", " - 2024-05\\2024-05-12\n", " - 2024-05\\2024-05-13\n", " - 2024-05\\2024-05-21\n", " - 2024-05\\2024-05-22\n", " - 2024-05\\2024-05-23\n", " - 2024-05\\2024-05-24\n", " - 2024-05\\2024-05-26\n" ] } ], "source": [ "# ā€”ā€”ā€” Print all dates that have a cloud_profiles folder ā€”ā€”ā€”\n", "dates_with_profiles = []\n", "\n", "for month_folder in os.listdir(sonic_base_dir):\n", " month_path = os.path.join(sonic_base_dir, month_folder)\n", " if not os.path.isdir(month_path):\n", " continue\n", "\n", " for day_folder in os.listdir(month_path):\n", " day_path = os.path.join(month_path, day_folder)\n", " if not os.path.isdir(day_path):\n", " continue\n", "\n", " # If cloud_profiles exists here, record the date\n", " if os.path.isdir(os.path.join(day_path, \"cloud_profiles\")):\n", " dates_with_profiles.append(f\"{month_folder}\\\\{day_folder}\")\n", "\n", "# Deduplicate and sort\n", "unique_dates = sorted(set(dates_with_profiles))\n", "\n", "print(\"\\nšŸ“… Dates with cloud_profiles:\\n\")\n", "for d in unique_dates:\n", " print(f\" - {d}\")\n" ] } ], "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": "3.11.7" } }, "nbformat": 4, "nbformat_minor": 5 }