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https://github.com/gsi-upm/soil
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Plot env without agent reporters
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@ -1,12 +1,11 @@
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import os
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import os
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import sys
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import sqlalchemy
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import sqlalchemy
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import pandas as pd
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import pandas as pd
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from collections import namedtuple
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from collections import namedtuple
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def plot(env, agent_df=None, model_df=None, steps=False, ignore=["agent_count", ]):
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def plot(env, agent_df=None, model_df=None, steps=False, ignore=["agent_count", ]):
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"""Plot the model dataframe and agent dataframe together."""
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"""Plot the model dataframe and agent dataframe together."""
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if agent_df is None:
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agent_df = env.agent_df()
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if model_df is None:
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if model_df is None:
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model_df = env.model_df()
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model_df = env.model_df()
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ignore = list(ignore)
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ignore = list(ignore)
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@ -16,9 +15,15 @@ def plot(env, agent_df=None, model_df=None, steps=False, ignore=["agent_count",
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ignore.append("time")
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ignore.append("time")
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ax = model_df.drop(ignore, axis='columns').plot();
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ax = model_df.drop(ignore, axis='columns').plot();
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if not agent_df.empty:
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if agent_df is None:
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agent_df.unstack().apply(lambda x: x.value_counts(),
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try:
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axis=1).fillna(0).plot(ax=ax, secondary_y=True);
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agent_df = env.agent_df()
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except UserWarning:
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print("No agent dataframe provided and no agent reporters found. Skipping agent plot.", file=sys.stderr)
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return
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agent_df.unstack().apply(lambda x: x.value_counts(),
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axis=1).fillna(0).plot(ax=ax, secondary_y=True);
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Results = namedtuple("Results", ["config", "parameters", "env", "agents"])
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Results = namedtuple("Results", ["config", "parameters", "env", "agents"])
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#TODO implement reading from CSV and SQLITE
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#TODO implement reading from CSV and SQLITE
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