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{
"cells": [
{
"cell_type": "code",
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"metadata": {},
"outputs": [],
"source": [
"import os\n",
"import sys\n",
"import matplotlib.pyplot as plt\n",
"import seaborn as sns\n",
"\n",
"nb_dir = os.path.split(os.getcwd())[0]\n",
"if nb_dir not in sys.path:\n",
" sys.path.append(nb_dir)\n",
" \n",
"from features.communication import *\n",
"import participants.query_db\n",
"\n",
"participants_inactive_usernames = participants.query_db.get_usernames()\n",
"df_sms = get_sms_data(participants_inactive_usernames)\n",
"df_calls = get_call_data(participants_inactive_usernames)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": [
"df_calls"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [
{
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" id _id timestamp device_id \\\n",
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"4 2 255 87ae5eb2c5b7fe30bea2821e2ec052453d89ea6b \n",
"... ... ... ... \n",
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"\n",
" participant_id username freq contact_id \n",
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"1 13 uploader_20449 21 0 \n",
"2 13 uploader_20449 21 0 \n",
"3 13 uploader_20449 21 0 \n",
"4 13 uploader_20449 21 0 \n",
"... ... ... ... ... \n",
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"4648 90 uploader_53573 1 21 \n",
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"\n",
"[4650 rows x 11 columns]"
]
},
"execution_count": 8,
"metadata": {},
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}
],
"source": [
"contact_features(enumerate_contacts(df_calls))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
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