Compile a list of contact features and add a test.
parent
c88336481e
commit
2d78aacd18
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@ -37,6 +37,14 @@ FEATURES_SMS = (
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# "no_received_ratio", "no_sent_ratio",
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# "no_contacts"]
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FEATURES_CONTACT = [
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"proportion_calls_all",
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"proportion_calls_incoming",
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"proportion_calls_outgoing",
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"proportion_calls_contacts",
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"proportion_calls_missed_sms_received",
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]
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def get_call_data(usernames: Collection) -> pd.DataFrame:
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"""
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@ -287,13 +295,10 @@ def calls_sms_features(df_calls: pd.DataFrame, df_sms: pd.DataFrame) -> pd.DataF
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"""
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count_calls = count_comms(df_calls)
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count_sms = count_comms(df_sms)
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count_joined = (
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count_calls.merge(
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count_joined = count_calls.merge(
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count_sms, on="participant_id", suffixes=("_calls", "_sms")
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) # Merge calls and sms features
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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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).assign( # Merge calls and sms features
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proportion_calls_all=(
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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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@ -306,19 +311,10 @@ def calls_sms_features(df_calls: pd.DataFrame, df_sms: pd.DataFrame) -> pd.DataF
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lambda x: x.no_outgoing / (x.no_outgoing + x.no_sent)
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),
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proportion_calls_contacts=(
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lambda x: x.no_contacts_calls
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/ (x.no_contacts_calls + x.no_contacts_sms)
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lambda x: x.no_contacts_calls / (x.no_contacts_calls + x.no_contacts_sms)
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)
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# Calculate new features and create additional columns
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)[
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[
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"participant_id",
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"proportion_calls",
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"proportion_calls_incoming",
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"proportion_calls_outgoing",
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"proportion_calls_contacts",
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"proportion_calls_missed_sms_received",
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]
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FEATURES_CONTACT
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] # Filter out only the relevant features
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)
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return count_joined
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@ -86,5 +86,8 @@ class CallsFeatures(unittest.TestCase):
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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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print(self.features_call_sms)
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self.assertIsInstance(self.features_call_sms, pd.DataFrame)
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self.assertCountEqual(
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self.features_call_sms.columns.to_list(), FEATURES_CONTACT
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)
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