parent
a2a44c202a
commit
1bc996413e
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@ -141,11 +141,11 @@ def count_comms(comm_df: pd.DataFrame) -> pd.DataFrame:
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.add_prefix("no_")
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)
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# Count calls by type.
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comm_counts["no_all"] = comm_counts.sum(axis=1)
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comm_counts["no_calls_all"] = comm_counts.sum(axis=1)
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# Add a total count of calls.
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comm_counts = comm_counts.assign(
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no_incoming_ratio=lambda x: x.no_incoming / x.no_all,
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no_outgoing_ratio=lambda x: x.no_outgoing / x.no_all,
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no_incoming_ratio=lambda x: x.no_incoming / x.no_calls_all,
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no_outgoing_ratio=lambda x: x.no_outgoing / x.no_calls_all,
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)
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# Ratio of incoming and outgoing calls to all calls.
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comm_duration_total = (
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@ -181,11 +181,11 @@ def count_comms(comm_df: pd.DataFrame) -> pd.DataFrame:
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.rename(columns=sms_types)
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.add_prefix("no_")
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)
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comm_counts["no_all"] = comm_counts.sum(axis=1)
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comm_counts["no_sms_all"] = comm_counts.sum(axis=1)
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# Add a total count of messages.
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comm_features = comm_counts.assign(
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no_received_ratio=lambda x: x.no_received / x.no_all,
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no_sent_ratio=lambda x: x.no_sent / x.no_all,
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no_received_ratio=lambda x: x.no_received / x.no_sms_all,
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no_sent_ratio=lambda x: x.no_sent / x.no_sms_all,
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)
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# Ratio of incoming and outgoing messages to all messages.
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else:
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@ -280,7 +280,7 @@ def calls_sms_features(df_calls: pd.DataFrame, df_sms: pd.DataFrame) -> pd.DataF
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.reset_index() # Make participant_id a regular column
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.assign(
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proportion_calls=(
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lambda x: x.no_all_calls / (x.no_all_calls + x.no_all_sms)
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lambda x: x.no_calls_all / (x.no_calls_all + x.no_sms_all)
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),
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proportion_calls_incoming=(
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lambda x: x.no_incoming / (x.no_incoming + x.no_received)
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@ -5,7 +5,7 @@ import pandas as pd
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from numpy.random import default_rng
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from pandas.testing import assert_series_equal
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from features.communication import count_comms, enumerate_contacts, get_call_data
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from features.communication import *
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rng = default_rng()
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@ -78,8 +78,14 @@ class CallsFeatures(unittest.TestCase):
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self.features = count_comms(self.calls)
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print(self.features)
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self.assertIsInstance(self.features, pd.DataFrame)
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self.assertCountEqual(self.features.columns.to_list(), FEATURES_CALLS)
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def test_count_comms_sms(self):
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self.features = count_comms(self.sms)
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print(self.features)
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self.assertIsInstance(self.features, pd.DataFrame)
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def test_calls_sms_features(self):
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self.features_call_sms = calls_sms_features(self.calls, self.sms)
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print(self.features_call_sms.columns)
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self.assertIsInstance(self.features_call_sms, pd.DataFrame)
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