diff --git a/sources/notebooks/plots_tool_stats.ipynb b/sources/notebooks/plots_tool_stats.ipynb new file mode 100644 index 00000000..e4ef680c --- /dev/null +++ b/sources/notebooks/plots_tool_stats.ipynb @@ -0,0 +1,345 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "id": "51b71d08", + "metadata": {}, + "source": [ + "# Get stats for all tools in curated_tools.tsv, sum up the users for last 5 years. \n" + ] + }, + { + "cell_type": "code", + "execution_count": 53, + "id": "5cee030e", + "metadata": {}, + "outputs": [], + "source": [ + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "import os\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "f0b8367a", + "metadata": {}, + "outputs": [], + "source": [ + "\n", + "COMMUNITY_PATH = \"../../communities/imaging/\"\n", + "CURATED_TOOLS_PATH = os.path.join(COMMUNITY_PATH, \"resources\", \"curated_tools.tsv\")\n", + "ALL_COMMUNITY_TOOLS_PATH = os.path.join(COMMUNITY_PATH, \"metadata\", \"tool_status.tsv\")\n", + "ALL_TOOLS = os.path.join(\"../../communities/all/\", \"resources\", \"tools.tsv\")\n", + "\n", + "\n", + "# Load TSV file\n", + "all_tools = pd.read_csv(ALL_TOOLS, sep=\"\\t\")\n", + "c_tools = pd.read_csv(ALL_COMMUNITY_TOOLS_PATH, sep=\"\\t\")\n", + "\n", + "# Filter rows where Suite ID matches\n", + "filtered_tools = all_tools[all_tools[\"Suite ID\"].isin(c_tools[\"Suite ID\"])]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "id": "72fd4453", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Total users (last 5 years, main servers): 99399\n" + ] + } + ], + "source": [ + "filtered_tools = filtered_tools.copy()\n", + "\n", + "# Select the exact column\n", + "user_columns = [\"Suite users (last 5 years) on main servers\"]\n", + "#user_columns = [\"Suite runs (last 5 years) on main servers\"]\n", + "\n", + "# Convert to numeric safely\n", + "filtered_tools[user_columns] = (\n", + " filtered_tools[user_columns]\n", + " .apply(pd.to_numeric, errors=\"coerce\")\n", + " .fillna(0)\n", + ")\n", + "\n", + "# Sum total users\n", + "total_users = filtered_tools[user_columns].sum().sum()\n", + "\n", + "print(\"Total users (last 5 years, main servers):\", int(total_users))\n" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "id": "4441fcbb", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "import pandas as pd\n", + "\n", + "# Assume filtered_tools is already loaded and cleaned\n", + "\n", + "# Select all server columns for last 5 years (excluding main aggregate)\n", + "server_columns = [\n", + " col for col in filtered_tools.columns\n", + " if \"Suite users (last 5 years)\" in col\n", + " and \"main servers\" not in col\n", + "]\n", + "\n", + "# Ensure numeric\n", + "filtered_tools[server_columns] = filtered_tools[server_columns].apply(pd.to_numeric, errors=\"coerce\").fillna(0)\n", + "\n", + "# Clean server names for plotting\n", + "server_clean_names = [col.replace(\"Suite users (last 5 years) (\", \"\").replace(\")\", \"\") for col in server_columns]\n", + "\n", + "# Sum total users per tool\n", + "total_per_tool = filtered_tools[server_columns].sum(axis=1)\n", + "\n", + "# Identify top 20 tools\n", + "top_n = 20\n", + "top_idx = total_per_tool.nlargest(top_n).index\n", + "\n", + "# Split data\n", + "top_tools = filtered_tools.loc[top_idx].copy()\n", + "others = filtered_tools.drop(top_idx).copy()\n", + "\n", + "# Combine the rest as \"Others\"\n", + "others_sum = others[server_columns].sum().to_frame().T\n", + "others_sum[\"Suite ID\"] = \"Others\"\n", + "top_tools = pd.concat([top_tools, others_sum], ignore_index=True)\n", + "\n", + "# Tool names\n", + "tools = top_tools[\"Suite ID\"].astype(str)\n", + "\n", + "# Total users per tool\n", + "total_users_per_tool = top_tools[server_columns].sum(axis=1)\n", + "\n", + "# Plot\n", + "plt.figure(figsize=(14,6))\n", + "\n", + "# Draw bars for total users\n", + "plt.bar(tools, total_users_per_tool, color=\"lightgray\", edgecolor=\"black\", label=\"Total users\")\n", + "\n", + "# Overlay dots for each server\n", + "colors = plt.cm.tab10.colors # Up to 10 colors\n", + "for i, server in enumerate(server_columns):\n", + " plt.scatter(\n", + " tools,\n", + " top_tools[server],\n", + " color=colors[i % len(colors)],\n", + " s=80,\n", + " label=server_clean_names[i]\n", + " )\n", + "\n", + "plt.ylabel(\"Users (last 5 years)\")\n", + "plt.title(f\"Top {top_n} Tools + Others with Server Contributions\")\n", + "plt.xticks(rotation=45, ha=\"right\")\n", + "plt.legend(title=\"Server\", bbox_to_anchor=(1.05, 1), loc=\"upper left\")\n", + "plt.tight_layout()\n", + "plt.show()\n" + ] + }, + { + "cell_type": "markdown", + "id": "193337ce", + "metadata": {}, + "source": [ + "# Get IT users from the raw sql query" + ] + }, + { + "cell_type": "code", + "execution_count": 73, + "id": "16773c89", + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " tool_id users tool_short server\n", + "0 interactive_tool_cellxgene 244.0 interactive_tool_cellxgene eu\n", + "1 interactive_tool_qupath 30.0 interactive_tool_qupath eu\n", + "2 interactive_tool_cellpose 25.0 interactive_tool_cellpose eu\n", + "3 interactive_tool_napari 18.0 interactive_tool_napari eu\n", + "4 interactive_tool_cellprofiler 15.0 interactive_tool_cellprofiler eu\n", + "5 interactive_tool_ilastik 12.0 interactive_tool_ilastik eu\n", + "6 interactive_tool_anylabeling 8.0 interactive_tool_anylabeling eu\n", + "7 interactive_tool_bellavista 2.0 interactive_tool_bellavista eu\n", + "8 interactive_tool_cellxgene 28.0 interactive_tool_cellxgene org.au\n", + "\n", + "Total users across all interactive tools (5y): 382.0\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "import os\n", + "\n", + "BASE_PATH = \"../../sources/data/usage_stats/usage_stats_2025.08.31\" # adjust if needed\n", + "\n", + "servers = [\"eu\", \"fr\", \"org\", \"org.au\"]\n", + "\n", + "interactive_tools = [\n", + " \"interactive_tool_anylabeling\",\n", + " \"interactive_tool_bellavista\",\n", + " \"interactive_tool_cellpose\",\n", + " \"interactive_tool_cellprofiler\",\n", + " \"interactive_tool_cellxgene\",\n", + " \"interactive_tool_ilastik\",\n", + " \"interactive_tool_napari\",\n", + " \"interactive_tool_qupath\",\n", + "]\n", + "\n", + "all_data = []\n", + "\n", + "for server in servers:\n", + " file_path = os.path.join(\n", + " BASE_PATH,\n", + " server,\n", + " \"tool_users_5y_until_2025.08.31.csv\"\n", + " )\n", + " \n", + " df = pd.read_csv(file_path, header=None, names=[\"tool_id\", \"users\"])\n", + "\n", + " # 🔹 Ensure numeric users\n", + " df[\"users\"] = pd.to_numeric(df[\"users\"], errors=\"coerce\").fillna(0) \n", + "\n", + " # Extract last part after \"/\"\n", + " df[\"tool_short\"] = df[\"tool_id\"].astype(str).str.split(\"/\").str[-1]\n", + " \n", + " # Keep only interactive tools\n", + " df_filtered = df[df[\"tool_short\"].isin(interactive_tools)].copy()\n", + " \n", + " df_filtered[\"server\"] = server\n", + "\n", + " all_data.append(df_filtered)\n", + "\n", + "# Combine all servers\n", + "combined = pd.concat(all_data, ignore_index=True)\n", + "print(combined)\n", + "\n", + "# # Total across all interactive tools\n", + "total_users = combined[\"users\"].sum()\n", + "print(\"\\nTotal users across all interactive tools (5y):\", total_users)\n" + ] + }, + { + "cell_type": "code", + "execution_count": 74, + "id": "3a3ecd2f", + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "\n", + "# Pivot to have one row per tool, columns = servers\n", + "plot_df = combined.pivot_table(\n", + " index=\"tool_short\",\n", + " columns=\"server\",\n", + " values=\"users\",\n", + " aggfunc=\"sum\",\n", + " fill_value=0\n", + ")\n", + "\n", + "# Compute total users per tool\n", + "plot_df[\"total_users\"] = plot_df.sum(axis=1)\n", + "\n", + "# -----------------------------\n", + "# Keep top 20 tools, combine rest as \"Others\"\n", + "# -----------------------------\n", + "top_n = 20\n", + "top_tools = plot_df.nlargest(top_n, \"total_users\")\n", + "others = plot_df.drop(top_tools.index)\n", + "others_sum = others.sum().to_frame().T\n", + "others_sum.index = [\"Others\"]\n", + "\n", + "# Combine top tools + Others\n", + "plot_df = pd.concat([top_tools, others_sum])\n", + "\n", + "# -----------------------------\n", + "# Plot\n", + "# -----------------------------\n", + "tools = plot_df.index.astype(str)\n", + "total_users_per_tool = plot_df.sum(axis=1)\n", + "\n", + "plt.figure(figsize=(14,6))\n", + "\n", + "# Draw bars for total users\n", + "plt.bar(tools, total_users_per_tool, color=\"lightgray\", edgecolor=\"black\", label=\"Total users\")\n", + "\n", + "# Overlay dots for each server\n", + "servers = combined[\"server\"].unique()\n", + "colors = plt.cm.tab10.colors\n", + "\n", + "for i, server in enumerate(servers):\n", + " if server in plot_df.columns:\n", + " plt.scatter(\n", + " tools,\n", + " plot_df[server],\n", + " color=colors[i % len(colors)],\n", + " s=80,\n", + " label=server\n", + " )\n", + "\n", + "plt.ylabel(\"Users (last 5 years)\")\n", + "plt.title(f\"Top {top_n} Interactive Tools + Others with Server Contributions\")\n", + "plt.xticks(rotation=45, ha=\"right\")\n", + "plt.legend(title=\"Server\", bbox_to_anchor=(1.05, 1), loc=\"upper left\")\n", + "plt.tight_layout()\n", + "plt.show()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "script-collection", + "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": "3.14.2" + } + }, + "nbformat": 4, + "nbformat_minor": 5 +}