From fd18e4e1330424b32be9d0170a67cc47ca81d32a Mon Sep 17 00:00:00 2001 From: Wojciech Reise Date: Wed, 22 Jan 2020 12:07:58 +0100 Subject: [PATCH 1/8] Replace create_network_2d by plot_static_mapper_graph and deal with colors --- Christmas Mapper.ipynb | 13908 ++++++--------------------------------- 1 file changed, 1956 insertions(+), 11952 deletions(-) diff --git a/Christmas Mapper.ipynb b/Christmas Mapper.ipynb index 7dece46..037e565 100644 --- a/Christmas Mapper.ipynb +++ b/Christmas Mapper.ipynb @@ -30,7 +30,7 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 22, "metadata": {}, "outputs": [], "source": [ @@ -39,20 +39,22 @@ "import numpy as np\n", "\n", "# tda magic\n", - "from giotto.mapper.filter import Projection\n", - "from giotto.mapper.cover import (\n", + "from gtda.mapper.filter import Projection\n", + "from gtda.mapper.cover import (\n", " OneDimensionalCover, \n", " CubicalCover\n", ")\n", - "from giotto.mapper.pipeline import make_mapper_pipeline\n", - "from giotto.mapper.visualization import (\n", - " create_network_2d,\n", - " create_network_3d,\n", - " create_interactive_network,\n", + "\n", + "\n", + "from gtda.mapper.pipeline import make_mapper_pipeline\n", + "from gtda.mapper.visualization import (\n", + " plot_static_mapper_graph,\n", + " plot_interactive_mapper_graph\n", ")\n", "\n", "# data viz\n", "import plotly.graph_objects as go\n", + "from matplotlib.colors import to_rgba_array, to_rgba\n", "\n", "# ml tools\n", "from sklearn.cluster import DBSCAN\n", @@ -76,7 +78,7 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 5, "metadata": {}, "outputs": [ { @@ -108,35 +110,35 @@ " \n", " \n", " \n", - " 0\n", + " 0\n", " 0.469986\n", " -0.112556\n", " 0.276702\n", " red\n", " \n", " \n", - " 1\n", + " 1\n", " 0.114129\n", " -0.015158\n", " 0.774016\n", " white\n", " \n", " \n", - " 2\n", + " 2\n", " -0.080747\n", " -0.000718\n", " -0.999135\n", " black\n", " \n", " \n", - " 3\n", + " 3\n", " 0.239434\n", " 0.001429\n", " 0.297960\n", " red\n", " \n", " \n", - " 4\n", + " 4\n", " -0.243728\n", " -0.223468\n", " -0.230000\n", @@ -155,7 +157,7 @@ "4 -0.243728 -0.223468 -0.230000 white" ] }, - "execution_count": 3, + "execution_count": 5, "metadata": {}, "output_type": "execute_result" } @@ -174,7 +176,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 6, "metadata": { "scrolled": false }, @@ -81042,20 +81044,20 @@ "
\n", " \n", " \n", - "
\n", + "
\n", " \n", - " " - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "application/vnd.plotly.v1+json": { - "config": { - "plotlyServerURL": "https://plot.ly" - }, - "data": [ - { - "marker": { - "color": [ - "red", - "white", - "black", - "red", - "white", - "black", - "red", - "white", - "orange", - "red", - "red", - "black", - "black", - "white", - "black", - "red", - "red", - "black", - "red", - "black", - "red", - "red", - "white", - "white", - "white", - "orange", - "white", - "red", - "red", - "white", - "red", - "white", - "black", - "red", - "black", - "white", - "white", - "black", - "white", - "white", - "red", - "white", - "orange", - "white", - "white", - "red", - "black", - "white", - "red", - "red", - "red", - "red", - "red", - "black", - "white", - "black", - "red", - "black", - "orange", - "white", - "red", - "black", - "black", - "red", - "red", - "red", - "red", - "white", - "red", - "red", - "black", - "black", - "white", - "white", - "white", - 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\n", - " \n", - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ "# configure Mapper pipeline\n", "pipeline = make_mapper_pipeline(\n", @@ -91812,21 +475,9 @@ }, { "cell_type": "code", - "execution_count": 76, + "execution_count": null, "metadata": {}, - "outputs": [ - { - "ename": "NameError", - "evalue": "name 'create_interactive_network' is not defined", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", - "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 7\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 8\u001b[0m \u001b[0;31m# generate figure\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 9\u001b[0;31m \u001b[0mcreate_interactive_network\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mpipeline\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcoords\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", - "\u001b[0;31mNameError\u001b[0m: name 'create_interactive_network' is not defined" - ] - } - ], + "outputs": [], "source": [ "# configure Mapper pipeline\n", "pipeline = make_mapper_pipeline(\n", From bb9e9865b6ac53d05aeb6b3e14b4b3002ab5aba7 Mon Sep 17 00:00:00 2001 From: Wojciech Reise Date: Wed, 22 Jan 2020 12:13:12 +0100 Subject: [PATCH 3/8] Update the requrements with the new library --- requirements.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/requirements.txt b/requirements.txt index 96ed463..66b4d0d 100755 --- a/requirements.txt +++ b/requirements.txt @@ -1,4 +1,4 @@ -giotto-learn-nightly +giotto-tda>=0.1.4 python-igraph >= 0.7.1.post6 pandas>=0.25.1 numpy>=1.17.2 From 0a23150b0db84cdf30a87c6ca863349bc99fff80 Mon Sep 17 00:00:00 2001 From: Wojciech Reise Date: Wed, 22 Jan 2020 12:19:34 +0100 Subject: [PATCH 4/8] Loosen the requirements for sklearn --- requirements.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/requirements.txt b/requirements.txt index 66b4d0d..d6a2651 100755 --- a/requirements.txt +++ b/requirements.txt @@ -4,4 +4,4 @@ pandas>=0.25.1 numpy>=1.17.2 plotly>=4.4.1 ipywidgets>=7.5.1 -scikit-learn==0.22 +scikit-learn>=0.22 From 431871d7572f9e82dc6075258cd3ca20bd4d442c Mon Sep 17 00:00:00 2001 From: Wojciech Reise Date: Wed, 22 Jan 2020 16:49:13 +0100 Subject: [PATCH 5/8] Extract redundant code into afunction, and modify the parentheses to comply with PEP8(suggestions by WeilerP) --- Christmas Mapper.ipynb | 172 ++++++++++++----------------------------- 1 file changed, 50 insertions(+), 122 deletions(-) diff --git a/Christmas Mapper.ipynb b/Christmas Mapper.ipynb index 1a5e07a..a831349 100644 --- a/Christmas Mapper.ipynb +++ b/Christmas Mapper.ipynb @@ -8,7 +8,9 @@ "\n", "_Created by:_ Davide Burba, December 2019\n", "\n", - "In this notebook we apply the [Mapper algorithm](https://research.math.osu.edu/tgda/mapperPBG.pdf) to point cloud data by using [giotto-learn](https://giotto.ai), an open-source Python library for topological data analysis." + "In this notebook, we apply the [Mapper algorithm](https://research.math.osu.edu/tgda/mapperPBG.pdf)\n", + "to point cloud data by using [giotto-learn](https://giotto.ai),\n", + "an open-source Python library for topological data analysis." ] }, { @@ -161,9 +163,41 @@ { "cell_type": "code", "execution_count": null, - "metadata": { - "scrolled": false - }, + "metadata": {}, + "outputs": [], + "source": [ + "def plot_mapper_graph_from_pipeline(pipe):\n", + " # generate topological graph from point cloud\n", + " graph = pipeline.fit_transform(coords)\n", + "\n", + " # get cluster member indices\n", + " node_elements = graph[\"node_metadata\"][\"node_elements\"]\n", + "\n", + " # configure choice of layout (x,z values)\n", + " layout = np.array([np.mean(coords[el], axis=0)[[0,2]] for el in node_elements])\n", + "\n", + " # define node coloring\n", + " node_colors = np.array([data.loc[el, \"color\"].value_counts().index[0] for el in node_elements])\n", + "\n", + " plotly_kwargs = {\n", + " 'node_trace_marker_colorscale': None,\n", + " 'node_trace_marker_showscale': False\n", + " }\n", + "\n", + " # initialise and display figure\n", + " fig = plot_static_mapper_graph(pipeline, coords,\n", + " layout, plotly_kwargs=plotly_kwargs)\n", + " fig.update_traces(patch={'hoverlabel_bgcolor': node_colors,\n", + " 'marker_color': node_colors})\n", + " fig.show(config={'scrollZoom':True})\n", + " \n", + " return fig" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, "outputs": [], "source": [ "# configure Mapper pipeline\n", @@ -173,29 +207,8 @@ " clusterer=DBSCAN(),\n", ")\n", "\n", - "# generate topological graph from point cloud\n", - "graph = pipeline.fit_transform(coords)\n", - "\n", - "# get cluster member indices\n", - "node_elements = graph[\"node_metadata\"][\"node_elements\"]\n", - "\n", - "# configure choice of layout (x,z values)\n", - "layout = np.array([np.mean(coords[el], axis=0)[[0,2]] for el in node_elements])\n", - "\n", - "# define node coloring\n", - "node_colors = np.array([data.loc[el, \"color\"].value_counts().index[0] for el in node_elements])\n", - "\n", - "plotly_kwargs = {'node_trace_marker_colorscale': None,\n", - " 'node_trace_marker_showscale': False\n", - " }\n", - "\n", - "# initialise and display figure\n", - "fig = plot_static_mapper_graph(pipeline, coords,\n", - " layout, plotly_kwargs=plotly_kwargs)\n", - "fig.update_traces(patch={'hoverlabel_bgcolor': node_colors,\n", - " 'marker_color': node_colors})\n", - "#color_variable = to_rgba_array(data['color'])#create_network_2d(graph, coords, layout, node_colors)\n", - "fig.show(config={'scrollZoom':True})" + "# plot the graph arising from applying the pipeline\n", + "fig = plot_mapper_graph_from_pipeline(pipeline)" ] }, { @@ -225,25 +238,8 @@ " clusterer=DBSCAN(),\n", ")\n", "\n", - "# generate topological graph from point cloud\n", - "graph = pipeline.fit_transform(coords)\n", - "\n", - "# get cluster member indices\n", - "node_elements = graph[\"node_metadata\"][\"node_elements\"]\n", - "# configure choice of layout (x,z values)\n", - "layout = np.array([np.mean(coords[el], axis=0)[[0, 2]] for el in node_elements])\n", - "# define node coloring\n", - "node_colors = np.array([data.loc[el, \"color\"].value_counts().index[0] for el in node_elements])\n", - "plotly_kwargs = {'node_trace_marker_colorscale': None,\n", - " 'node_trace_marker_showscale': False\n", - " }\n", - "\n", - "# initialise and display figure\n", - "fig = plot_static_mapper_graph(pipeline, coords,\n", - " layout, plotly_kwargs=plotly_kwargs)\n", - "fig.update_traces(patch={'hoverlabel_bgcolor': node_colors,\n", - " 'marker_color': node_colors})\n", - "fig.show(config={'scrollZoom':True})" + "# plot the graph arising from applying the pipeline\n", + "fig = plot_mapper_graph_from_pipeline(pipeline)" ] }, { @@ -271,25 +267,8 @@ " clusterer=DBSCAN(),\n", ")\n", "\n", - "# generate topological graph from point cloud\n", - "graph = pipeline.fit_transform(coords)\n", - "\n", - "# get cluster member indices\n", - "node_elements = graph[\"node_metadata\"][\"node_elements\"]\n", - "# configure choice of layout (x,z values)\n", - "layout = np.array([np.mean(coords[el], axis=0)[[0, 2]] for el in node_elements])\n", - "# define node coloring\n", - "node_colors = np.array([data.loc[el, \"color\"].value_counts().index[0] for el in node_elements])\n", - "plotly_kwargs = {'node_trace_marker_colorscale': None,\n", - " 'node_trace_marker_showscale': False\n", - " }\n", - "\n", - "# initialise and display figure\n", - "fig = plot_static_mapper_graph(pipeline, coords,\n", - " layout, plotly_kwargs=plotly_kwargs)\n", - "fig.update_traces(patch={'hoverlabel_bgcolor': node_colors,\n", - " 'marker_color': node_colors})\n", - "fig.show(config={'scrollZoom':True})" + "# plot the graph arising from applying the pipeline\n", + "fig = plot_mapper_graph_from_pipeline(pipeline)" ] }, { @@ -326,25 +305,8 @@ " clusterer=DBSCAN(eps=0.06),\n", ")\n", "\n", - "# generate topological graph from point cloud\n", - "graph = pipeline.fit_transform(coords)\n", - "\n", - "# get cluster member indices\n", - "node_elements = graph[\"node_metadata\"][\"node_elements\"]\n", - "# configure choice of layout (x,z values)\n", - "layout = np.array([np.mean(coords[el], axis=0)[[0, 2]] for el in node_elements])\n", - "# define node coloring\n", - "node_colors = np.array([data.loc[el, \"color\"].value_counts().index[0] for el in node_elements])\n", - "plotly_kwargs = {'node_trace_marker_colorscale': None,\n", - " 'node_trace_marker_showscale': False\n", - " }\n", - "\n", - "# initialise and display figure\n", - "fig = plot_static_mapper_graph(pipeline, coords,\n", - " layout, plotly_kwargs=plotly_kwargs)\n", - "fig.update_traces(patch={'hoverlabel_bgcolor': node_colors,\n", - " 'marker_color': node_colors})\n", - "fig.show(config={'scrollZoom':True})" + "# plot the graph arising from applying the pipeline\n", + "fig = plot_mapper_graph_from_pipeline(pipeline)" ] }, { @@ -381,25 +343,8 @@ " clusterer=DBSCAN(eps=0.06),\n", ")\n", "\n", - "# generate topological graph from point cloud\n", - "graph = pipeline.fit_transform(coords)\n", - "\n", - "# get cluster member indices\n", - "node_elements = graph[\"node_metadata\"][\"node_elements\"]\n", - "# configure choice of layout (x,z values)\n", - "layout = np.array([np.mean(coords[el], axis=0)[[0, 2]] for el in node_elements])\n", - "# define node coloring\n", - "node_colors = np.array([data.loc[el, \"color\"].value_counts().index[0] for el in node_elements])\n", - "plotly_kwargs = {'node_trace_marker_colorscale': None,\n", - " 'node_trace_marker_showscale': False\n", - " }\n", - "\n", - "# initialise and display figure\n", - "fig = plot_static_mapper_graph(pipeline, coords,\n", - " layout, plotly_kwargs=plotly_kwargs)\n", - "fig.update_traces(patch={'hoverlabel_bgcolor': node_colors,\n", - " 'marker_color': node_colors})\n", - "fig.show(config={'scrollZoom':True})" + "# plot the graph arising from applying the pipeline\n", + "fig = plot_mapper_graph_from_pipeline(pipeline)" ] }, { @@ -436,25 +381,8 @@ " clusterer=DBSCAN(eps=0.06),\n", ")\n", "\n", - "# generate topological graph from point cloud \n", - "graph = pipeline.fit_transform(coords)\n", - "\n", - "# get cluster member indices\n", - "node_elements = graph[\"node_metadata\"][\"node_elements\"]\n", - "# configure choice of layout (x,z values)\n", - "layout = np.array([np.mean(coords[el], axis=0)[[0, 2]] for el in node_elements])\n", - "# define node coloring\n", - "node_colors = np.array([data.loc[el, \"color\"].value_counts().index[0] for el in node_elements])\n", - "plotly_kwargs = {'node_trace_marker_colorscale': None,\n", - " 'node_trace_marker_showscale': False\n", - " }\n", - "\n", - "# initialise and display figure\n", - "fig = plot_static_mapper_graph(pipeline, coords,\n", - " layout, plotly_kwargs=plotly_kwargs)\n", - "fig.update_traces(patch={'hoverlabel_bgcolor': node_colors,\n", - " 'marker_color': node_colors})\n", - "fig.show(config={'scrollZoom':True})" + "# plot the graph arising from applying the pipeline\n", + "fig = plot_mapper_graph_from_pipeline(pipeline)" ] }, { From e3e9cfd7a36eb2bc00a77124e4f60d4ec30796ac Mon Sep 17 00:00:00 2001 From: Wojciech Reise Date: Fri, 24 Jan 2020 19:14:15 +0100 Subject: [PATCH 6/8] Change the requirements in the readme and the mentions of giotto-learn in the notebook --- Christmas Mapper.ipynb | 13 ++++++++++--- README.md | 2 +- 2 files changed, 11 insertions(+), 4 deletions(-) diff --git a/Christmas Mapper.ipynb b/Christmas Mapper.ipynb index a831349..28b32d7 100644 --- a/Christmas Mapper.ipynb +++ b/Christmas Mapper.ipynb @@ -9,7 +9,7 @@ "_Created by:_ Davide Burba, December 2019\n", "\n", "In this notebook, we apply the [Mapper algorithm](https://research.math.osu.edu/tgda/mapperPBG.pdf)\n", - "to point cloud data by using [giotto-learn](https://giotto.ai),\n", + "to point cloud data by using [giotto-tda](https://giotto.ai),\n", "an open-source Python library for topological data analysis." ] }, @@ -133,7 +133,7 @@ "- **nodes**: clusters\n", "- **edges**: non-empty intersections between clusters\n", "\n", - "Even if its formulation could seem a bit intimidating, the best way to intuitively understand how the Mapper algorithm works is to use it and \"play\" with its parameters. The API of [giotto-learn](https://giotto.ai) is scikit-learn compatible and provides a very convenient way to fit the Mapper through a pipeline object.\n", + "Even if its formulation could seem a bit intimidating, the best way to intuitively understand how the Mapper algorithm works is to use it and \"play\" with its parameters. The API of [giotto-tda](https://giotto.ai) is scikit-learn compatible and provides a very convenient way to fit the Mapper through a pipeline object.\n", "\n", "We will apply the Mapper algorithm to the Santa Claus point cloud (the so-called \"Santa Cloud\"). Our goal is to get a minimal graph which preserves the topological properties of the original figure. \n", "\n", @@ -167,6 +167,13 @@ "outputs": [], "source": [ "def plot_mapper_graph_from_pipeline(pipe):\n", + " \"\"\" A helper function, that plots the graph\n", + " resulting from applying the pipeline `pipe`\n", + " on the data.\n", + " Parameters\n", + " -----------\n", + " pipe : \n", + " \"\"\"\n", " # generate topological graph from point cloud\n", " graph = pipeline.fit_transform(coords)\n", "\n", @@ -398,7 +405,7 @@ "source": [ "# Interactive mode\n", "\n", - "As we saw above, it takes several steps of interation to obtain a topological Mapper graph that accurately captures the underlying structure of the point cloud. To help speedup the iterations, [giotto-learn](https://giotto.ai) provides the option to dynamically change the Mapper parameters and see how this affects the output!" + "As we saw above, it takes several steps of interation to obtain a topological Mapper graph that accurately captures the underlying structure of the point cloud. To help speedup the iterations, [giotto-tda](https://giotto.ai) provides the option to dynamically change the Mapper parameters and see how this affects the output!" ] }, { diff --git a/README.md b/README.md index 7214cfd..4a1e85f 100644 --- a/README.md +++ b/README.md @@ -66,7 +66,7 @@ Enjoy! ## Requirements In order to run the notebook, the following python packages are required: -- giotto-learn-nightly +- giotto-tda>=0.1.4 - pandas>=0.25.1 - numpy>=1.17.2 - plotly>=4.4.1 From 4a5309099d10eca31f7bff31ef725711d7af0f3a Mon Sep 17 00:00:00 2001 From: Umberto Lupo <46537483+ulupo@users.noreply.github.com> Date: Wed, 26 Feb 2020 14:10:52 +0100 Subject: [PATCH 7/8] Remove unnecessary requirements --- requirements.txt | 5 ----- 1 file changed, 5 deletions(-) diff --git a/requirements.txt b/requirements.txt index d6a2651..6f83b74 100755 --- a/requirements.txt +++ b/requirements.txt @@ -1,7 +1,2 @@ giotto-tda>=0.1.4 -python-igraph >= 0.7.1.post6 pandas>=0.25.1 -numpy>=1.17.2 -plotly>=4.4.1 -ipywidgets>=7.5.1 -scikit-learn>=0.22 From 057d7e7b3f47bc96d8cde462a5c4ad3378c88c0f Mon Sep 17 00:00:00 2001 From: Umberto Lupo <46537483+ulupo@users.noreply.github.com> Date: Wed, 26 Feb 2020 14:11:49 +0100 Subject: [PATCH 8/8] Remove unnecessary deps from README --- README.md | 4 ---- 1 file changed, 4 deletions(-) diff --git a/README.md b/README.md index 4a1e85f..9125b66 100644 --- a/README.md +++ b/README.md @@ -68,7 +68,3 @@ In order to run the notebook, the following python packages are required: - giotto-tda>=0.1.4 - pandas>=0.25.1 -- numpy>=1.17.2 -- plotly>=4.4.1 -- scikit-learn>=0.22 -- python-igraph