From eca4cae2987916450377454d0e4bb7851e27cd7e Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?J=2E=20Fernando=20S=C3=A1nchez?= Date: Mon, 24 Apr 2023 19:23:04 +0200 Subject: [PATCH] Update tutorial and fix plotting bug --- docs/tutorial/soil_tutorial.ipynb | 195 +++++++++++++++++++----------- soil/analysis.py | 6 +- 2 files changed, 127 insertions(+), 74 deletions(-) diff --git a/docs/tutorial/soil_tutorial.ipynb b/docs/tutorial/soil_tutorial.ipynb index 7d301e3..da8131a 100644 --- a/docs/tutorial/soil_tutorial.ipynb +++ b/docs/tutorial/soil_tutorial.ipynb @@ -110,12 +110,12 @@ "There are two main elements in a soil simulation:\n", " \n", "* The **environment** or model. It assigns agents to nodes in the network, and stores the environment parameters (shared state for all agents).\n", - " - `soil.NetworkEnvironment` models also contain a network topology (accessible through through `self.G`). A simulation may use an existing NetworkX topology, or generate one on the fly. The `NetworkEnvironment` class is parameterized, which makes it easy to initialize environments with a variety of network topologies. **In this tutorial, we will manually add a network to each environment**.\n", + " - `soil.NetworkEnvironment` models also contain a network topology (accessible through through `self.G`). A simulation may use an existing NetworkX topology, or generate one on the fly. The `NetworkEnvironment` class is parameterized, which makes it easy to initialize environments with a variety of network topologies. **In this tutorial, we will manually add a network to each environment**.\n", "* One or more **agents**. Agents are programmed with their individual behaviors, and they can communicate with the environment and with other agents. There are several types of agents, depending on their behavior and their capabilities. Some examples of built-in types of agents are:\n", - " - Network agents, which are linked to a node in the topology. They have additional methods to access their neighbors.\n", - " - FSM (Finite state machine) agents. Their behavior is defined in terms of states, and an agent will move from one state to another.\n", - " - Evented agents, an actor-based model of agents, which can communicate with one another through message passing.\n", - " - For convenience, a general `soil.Agent` class is provided, which inherits from Network, FSM and Evented at the same time.\n", + " - Network agents, which are linked to a node in the topology. They have additional methods to access their neighbors.\n", + " - FSM (Finite state machine) agents. Their behavior is defined in terms of states, and an agent will move from one state to another.\n", + " - Evented agents, an actor-based model of agents, which can communicate with one another through message passing.\n", + " - For convenience, a general `soil.Agent` class is provided, which inherits from Network, FSM and Evented at the same time.\n", "\n", "Soil provides several abstractions over events to make developing agents easier.\n", "This means you can use events (timeouts, delays) in soil, but for the most part we will assume your models will be step-based o.\n" @@ -437,12 +437,12 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "3839c24e051d4e82a16aaabcd10eff82", + "model_id": "ff6ebca13a384769a2a783fcb1808d91", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "NewsEnvSimple: 0%| | 0/1 [00:00" + "
" ] }, "metadata": {}, @@ -758,12 +765,12 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "0c1604da16344da89d7d13279ba768eb", + "model_id": "d848b48f031e4c798d7ea246d4c17260", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "NewsEnvNetwork: 0%| | 0/1 [00:00" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -1127,18 +1136,18 @@ "name": "stderr", "output_type": "stream", "text": [ - "[INFO ][18:42:13] Output directory: /mnt/data/home/j/git/lab.gsi/soil/soil/docs/tutorial/soil_output\n" + "[INFO ][19:22:00] Output directory: /mnt/data/home/j/git/lab.gsi/soil/soil/docs/tutorial/soil_output\n" ] }, { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "13da1dd6b9d04207a861915cfdeb85cc", + "model_id": "6e72f871a2d242129f0b848caf6b5bdf", "version_major": 2, "version_minor": 0 }, "text/plain": [ - "newspread: 0%| | 0/10 [00:00" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -1602,12 +1651,14 @@ "outputs": [ { "data": { - "image/png": "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", + "image/png": "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\n", "text/plain": [ - "
" + "
" ] }, - "metadata": {}, + "metadata": { + "needs_background": "light" + }, "output_type": "display_data" } ], @@ -1692,35 +1743,35 @@ " \n", " 0\n", " 39063f8\n", - " newspread_1682354533.7559075\n", + " newspread_1682356920.2487948\n", " erdos_renyi_graph\n", " 100\n", " 1.0\n", " \n", " \n", " 8f26adb\n", - " newspread_1682354533.7559075\n", + " newspread_1682356920.2487948\n", " barabasi_albert_graph\n", " 100\n", " 0.5\n", " \n", " \n", " 92fdcb9\n", - " newspread_1682354533.7559075\n", + " newspread_1682356920.2487948\n", " erdos_renyi_graph\n", " 100\n", " 0.25\n", " \n", " \n", " cb3dbca\n", - " newspread_1682354533.7559075\n", + " newspread_1682356920.2487948\n", " erdos_renyi_graph\n", " 100\n", " 0.5\n", " \n", " \n", " d1fe9c1\n", - " newspread_1682354533.7559075\n", + " newspread_1682356920.2487948\n", " barabasi_albert_graph\n", " 100\n", " 1.0\n", @@ -1732,19 +1783,19 @@ "text/plain": [ "key generator \\\n", "iteration_id params_id simulation_id \n", - "0 39063f8 newspread_1682354533.7559075 erdos_renyi_graph \n", - " 8f26adb newspread_1682354533.7559075 barabasi_albert_graph \n", - " 92fdcb9 newspread_1682354533.7559075 erdos_renyi_graph \n", - " cb3dbca newspread_1682354533.7559075 erdos_renyi_graph \n", - " d1fe9c1 newspread_1682354533.7559075 barabasi_albert_graph \n", + "0 39063f8 newspread_1682356920.2487948 erdos_renyi_graph \n", + " 8f26adb newspread_1682356920.2487948 barabasi_albert_graph \n", + " 92fdcb9 newspread_1682356920.2487948 erdos_renyi_graph \n", + " cb3dbca newspread_1682356920.2487948 erdos_renyi_graph \n", + " d1fe9c1 newspread_1682356920.2487948 barabasi_albert_graph \n", "\n", "key n prob_neighbor_spread \n", "iteration_id params_id simulation_id \n", - "0 39063f8 newspread_1682354533.7559075 100 1.0 \n", - " 8f26adb newspread_1682354533.7559075 100 0.5 \n", - " 92fdcb9 newspread_1682354533.7559075 100 0.25 \n", - " cb3dbca newspread_1682354533.7559075 100 0.5 \n", - " d1fe9c1 newspread_1682354533.7559075 100 1.0 " + "0 39063f8 newspread_1682356920.2487948 100 1.0 \n", + " 8f26adb newspread_1682356920.2487948 100 0.5 \n", + " 92fdcb9 newspread_1682356920.2487948 100 0.25 \n", + " cb3dbca newspread_1682356920.2487948 100 0.5 \n", + " d1fe9c1 newspread_1682356920.2487948 100 1.0 " ] }, "execution_count": 18, @@ -1841,7 +1892,7 @@ " \n", " \n", " \n", - " newspread_1682354533.7559075\n", + " newspread_1682356920.2487948\n", " 0\n", " 2\n", " None\n", @@ -1872,31 +1923,31 @@ "text/plain": [ " index version source_file name \\\n", "simulation_id \n", - "newspread_1682354533.7559075 0 2 None newspread \n", + "newspread_1682356920.2487948 0 2 None newspread \n", "\n", " description group backup overwrite dry_run dump \\\n", "simulation_id \n", - "newspread_1682354533.7559075 None False True False True \n", + "newspread_1682356920.2487948 None False True False True \n", "\n", " ... num_processes \\\n", "simulation_id ... \n", - "newspread_1682354533.7559075 ... 1 \n", + "newspread_1682356920.2487948 ... 1 \n", "\n", " exporters \\\n", "simulation_id \n", - "newspread_1682354533.7559075 [] \n", + "newspread_1682356920.2487948 [] \n", "\n", " model_reporters agent_reporters tables \\\n", "simulation_id \n", - "newspread_1682354533.7559075 {} {} {} \n", + "newspread_1682356920.2487948 {} {} {} \n", "\n", " outdir \\\n", "simulation_id \n", - "newspread_1682354533.7559075 /mnt/data/home/j/git/lab.gsi/soil/soil/docs/tu... \n", + "newspread_1682356920.2487948 /mnt/data/home/j/git/lab.gsi/soil/soil/docs/tu... \n", "\n", " exporter_params level skip_test debug \n", "simulation_id \n", - "newspread_1682354533.7559075 {} 20 False False \n", + "newspread_1682356920.2487948 {} 20 False False \n", "\n", "[1 rows x 29 columns]" ] @@ -1967,7 +2018,7 @@ " \n", " \n", " \n", - " newspread_1682354533.7559075\n", + " newspread_1682356920.2487948\n", " ff1d24a\n", " 0\n", " 0\n", @@ -2011,7 +2062,7 @@ "text/plain": [ " agent_count time \\\n", "simulation_id params_id iteration_id step \n", - "newspread_1682354533.7559075 ff1d24a 0 0 101 0 \n", + "newspread_1682356920.2487948 ff1d24a 0 0 101 0 \n", " 1 101 1 \n", " 2 101 2 \n", " 3 101 3 \n", @@ -2019,7 +2070,7 @@ "\n", " prob_tv_spread \\\n", "simulation_id params_id iteration_id step \n", - "newspread_1682354533.7559075 ff1d24a 0 0 0.0 \n", + "newspread_1682356920.2487948 ff1d24a 0 0 0.0 \n", " 1 0.0 \n", " 2 0.0 \n", " 3 0.0 \n", @@ -2027,7 +2078,7 @@ "\n", " prob_neighbor_spread \n", "simulation_id params_id iteration_id step \n", - "newspread_1682354533.7559075 ff1d24a 0 0 0.0 \n", + "newspread_1682356920.2487948 ff1d24a 0 0 0.0 \n", " 1 0.0 \n", " 2 0.0 \n", " 3 0.0 \n", @@ -2098,7 +2149,7 @@ " \n", " \n", " \n", - " newspread_1682354533.7559075\n", + " newspread_1682356920.2487948\n", " ff1d24a\n", " 0\n", " 0\n", @@ -2128,7 +2179,7 @@ "text/plain": [ " state_id\n", "simulation_id params_id iteration_id step agent_id \n", - "newspread_1682354533.7559075 ff1d24a 0 0 0 None\n", + "newspread_1682356920.2487948 ff1d24a 0 0 0 None\n", " 1 neutral\n", " 2 neutral\n", " 3 neutral\n", diff --git a/soil/analysis.py b/soil/analysis.py index 645a7b6..1854c0f 100644 --- a/soil/analysis.py +++ b/soil/analysis.py @@ -21,8 +21,10 @@ def plot(env, agent_df=None, model_df=None, steps=False, ignore=["agent_count", except UserWarning: print("No agent dataframe provided and no agent reporters found. Skipping agent plot.", file=sys.stderr) return - agent_df.unstack().apply(lambda x: x.value_counts(), - axis=1).fillna(0).plot(ax=ax, secondary_y=True); + if not agent_df.empty: + agent_df.unstack().apply(lambda x: x.value_counts(), + axis=1).fillna(0).plot(ax=ax, + secondary_y=True) Results = namedtuple("Results", ["config", "parameters", "env", "agents"])