diff --git a/notebook/dashboard.ipynb b/notebook/dashboard.ipynb index da2a1b09..0c891940 100644 --- a/notebook/dashboard.ipynb +++ b/notebook/dashboard.ipynb @@ -89,6 +89,7 @@ "from github import Github, UnknownObjectException\n", "import pandas as pd\n", "import plotly.express as px\n", + "import plotly.graph_objects as go\n", "import plotly.io as pio\n", "import requests\n", "\n", @@ -511,30 +512,67 @@ "df_languages = pd.DataFrame(language_data)\n", "\n", "# Aggregate data by language and repo\n", - "language_counts = df_languages.groupby(['language', 'repo']).agg({\n", + "language_counts_bytes = df_languages.groupby(['language', 'repo']).agg({\n", " 'bytes_of_code': 'sum'\n", "}).reset_index()\n", "\n", - "fig_treemap = px.treemap(\n", - " language_counts,\n", - " path=['language', 'repo'],\n", - " values='bytes_of_code',\n", - " title='Programming Languages by Bytes of Code (Treemap)',\n", - " hover_data={'repo': True, 'bytes_of_code': True}\n", - ")\n", - "fig_treemap.show()\n", + "language_counts_repos = df_languages.groupby(['language', 'repo']).size().reset_index(name='repo_count')\n", "\n", - "# Programming Languages by Repo Count\n", - "language_counts = df_languages.groupby(['language', 'repo']).size().reset_index(name='repo_count')\n", + "def create_language_figures(counts: pd.DataFrame, path_key: str, value_key: str):\n", + " _fig_treemap = px.treemap(\n", + " counts,\n", + " path=[path_key, 'repo'],\n", + " values=value_key,\n", + " )\n", + " _fig_sunburst = px.sunburst(\n", + " counts,\n", + " path=[path_key, 'repo'],\n", + " values=value_key,\n", + " )\n", + " return _fig_treemap, _fig_sunburst\n", "\n", - "fig_treemap = px.treemap(\n", - " language_counts,\n", - " path=['language', 'repo'],\n", - " values='repo_count',\n", - " title='Programming Languages by Repo Count (Treemap)',\n", - " hover_data={'repo_count': True}\n", - ")\n", - "fig_treemap.show()" + "# List of tuples containing the data and titles for each figure\n", + "figures_data = [\n", + " (language_counts_bytes, 'language', 'bytes_of_code', 'Programming Languages by Bytes of Code'),\n", + " (language_counts_repos, 'language', 'repo_count', 'Programming Languages by Repo Count')\n", + "]\n", + "\n", + "# Loop through the list to create figures and add traces\n", + "for _counts, _path_key, value_key, title in figures_data:\n", + " fig_treemap, fig_sunburst = create_language_figures(counts=_counts, path_key=_path_key, value_key=value_key)\n", + "\n", + " fig = go.Figure()\n", + " fig.add_trace(fig_treemap.data[0])\n", + " fig.add_trace(fig_sunburst.data[0])\n", + " fig.data[1].visible = False\n", + "\n", + " fig.update_layout(\n", + " title=title,\n", + " updatemenus=[\n", + " {\n", + " \"buttons\": [\n", + " {\n", + " \"label\": \"Treemap\",\n", + " \"method\": \"update\",\n", + " \"args\": [\n", + " {\"visible\": [True, False]},\n", + " ],\n", + " },\n", + " {\n", + " \"label\": \"Sunburst\",\n", + " \"method\": \"update\",\n", + " \"args\": [\n", + " {\"visible\": [False, True]},\n", + " ],\n", + " },\n", + " ],\n", + " \"direction\": \"down\",\n", + " \"showactive\": True,\n", + " }\n", + " ]\n", + " )\n", + "\n", + " fig.show()" ], "id": "20e09d93eda0478a", "outputs": [], @@ -547,7 +585,12 @@ "id": "a520a320cd823874" }, { - "metadata": {}, + "metadata": { + "ExecuteTime": { + "end_time": "2024-08-20T02:58:06.219404Z", + "start_time": "2024-08-20T02:58:06.066344Z" + } + }, "cell_type": "code", "source": [ "# Docs\n", @@ -563,33 +606,2528 @@ "\n", "df_docs = pd.DataFrame(docs_data)\n", "\n", - "# Aggregate data by has_readme and repo\n", + "# Aggregate data by has_readme/has_readthedocs and repo\n", "readme_counts = df_docs.groupby(['has_readme', 'repo']).size().reset_index(name='repo_count')\n", + "readthedocs_counts = df_docs.groupby(['has_readthedocs', 'repo']).size().reset_index(name='repo_count')\n", "\n", - "# Visualize the data using a treemap\n", - "fig_treemap_readme = px.treemap(\n", - " readme_counts,\n", - " path=['has_readme', 'repo'],\n", - " values='repo_count',\n", - " title='Has README file',\n", - ")\n", - "fig_treemap_readme.show()\n", + "def create_figures(counts: pd.DataFrame, path_key: str):\n", + " _fig_treemap = px.treemap(\n", + " counts,\n", + " path=[path_key, 'repo'],\n", + " values='repo_count',\n", + " )\n", + " _fig_sunburst = px.sunburst(\n", + " counts,\n", + " path=[path_key, 'repo'],\n", + " values='repo_count',\n", + " )\n", + " return _fig_treemap, _fig_sunburst\n", "\n", - "# Aggregate data by has_readthedocs and repo\n", - "readthedocs_counts = df_docs.groupby(['has_readthedocs', 'repo']).size().reset_index(name='repo_count')\n", + "# List of tuples containing the data and titles for each figure\n", + "figures_data = [\n", + " (readme_counts, 'has_readme', 'Has README file'),\n", + " (readthedocs_counts, 'has_readthedocs', 'Uses ReadTheDocs')\n", + "]\n", "\n", - "# Visualize the data using a treemap\n", - "fig_treemap_readthedocs = px.treemap(\n", - " readthedocs_counts,\n", - " path=['has_readthedocs', 'repo'],\n", - " values='repo_count',\n", - " title='Uses ReadTheDocs',\n", - ")\n", - "fig_treemap_readthedocs.show()" + "# Loop through the list to create figures and add traces\n", + "for _counts, _path_key, title in figures_data:\n", + " fig_treemap, fig_sunburst = create_figures(counts=_counts, path_key=_path_key)\n", + "\n", + " fig = go.Figure()\n", + " fig.add_trace(fig_treemap.data[0])\n", + " fig.add_trace(fig_sunburst.data[0])\n", + " fig.data[1].visible = False\n", + "\n", + " fig.update_layout(\n", + " title=title,\n", + " updatemenus=[\n", + " {\n", + " \"buttons\": [\n", + " {\n", + " \"label\": \"Treemap\",\n", + " \"method\": \"update\",\n", + " \"args\": [{\"visible\": [True, False]}],\n", + " },\n", + " {\n", + " \"label\": \"Sunburst\",\n", + " \"method\": \"update\",\n", + " \"args\": [{\"visible\": [False, True]}],\n", + " },\n", + " ],\n", + " \"direction\": \"down\",\n", + " \"showactive\": True,\n", + " }\n", + " ]\n", + " )\n", + "\n", 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