junos
/
stress_at_work_analysis
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity
stress_at_work_analysis/Untitled.ipynb

316 lines
11 KiB
Plaintext
Raw Normal View History

additional communication features
2021-08-04 13:45:54 +02:00
{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"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": [
{
"data": {
"text/html": [
"<div>\n",
"<style scoped>\n",
" .dataframe tbody tr th:only-of-type {\n",
" vertical-align: middle;\n",
" }\n",
"\n",
" .dataframe tbody tr th {\n",
" vertical-align: top;\n",
" }\n",
"\n",
" .dataframe thead th {\n",
" text-align: right;\n",
" }\n",
"</style>\n",
"<table border=\"1\" class=\"dataframe\">\n",
" <thead>\n",
" <tr style=\"text-align: right;\">\n",
" <th></th>\n",
" <th>id</th>\n",
" <th>_id</th>\n",
" <th>timestamp</th>\n",
" <th>device_id</th>\n",
" <th>call_type</th>\n",
" <th>call_duration</th>\n",
" <th>trace</th>\n",
" <th>participant_id</th>\n",
" <th>username</th>\n",
" <th>freq</th>\n",
" <th>contact_id</th>\n",
" </tr>\n",
" </thead>\n",
" <tbody>\n",
" <tr>\n",
" <th>0</th>\n",
" <td>118</td>\n",
" <td>1</td>\n",
" <td>1581936081010</td>\n",
" <td>78082f9f-98c2-468d-b4a2-7c835bd812bd</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>87ae5eb2c5b7fe30bea2821e2ec052453d89ea6b</td>\n",
" <td>13</td>\n",
" <td>uploader_20449</td>\n",
" <td>21</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>1</th>\n",
" <td>176</td>\n",
" <td>3</td>\n",
" <td>1582295247982</td>\n",
" <td>78082f9f-98c2-468d-b4a2-7c835bd812bd</td>\n",
" <td>1</td>\n",
" <td>196</td>\n",
" <td>87ae5eb2c5b7fe30bea2821e2ec052453d89ea6b</td>\n",
" <td>13</td>\n",
" <td>uploader_20449</td>\n",
" <td>21</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>2</th>\n",
" <td>209</td>\n",
" <td>4</td>\n",
" <td>1582305634014</td>\n",
" <td>78082f9f-98c2-468d-b4a2-7c835bd812bd</td>\n",
" <td>2</td>\n",
" <td>237</td>\n",
" <td>87ae5eb2c5b7fe30bea2821e2ec052453d89ea6b</td>\n",
" <td>13</td>\n",
" <td>uploader_20449</td>\n",
" <td>21</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>3</th>\n",
" <td>210</td>\n",
" <td>5</td>\n",
" <td>1582561530334</td>\n",
" <td>78082f9f-98c2-468d-b4a2-7c835bd812bd</td>\n",
" <td>2</td>\n",
" <td>126</td>\n",
" <td>87ae5eb2c5b7fe30bea2821e2ec052453d89ea6b</td>\n",
" <td>13</td>\n",
" <td>uploader_20449</td>\n",
" <td>21</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4</th>\n",
" <td>253</td>\n",
" <td>6</td>\n",
" <td>1582627576077</td>\n",
" <td>78082f9f-98c2-468d-b4a2-7c835bd812bd</td>\n",
" <td>2</td>\n",
" <td>255</td>\n",
" <td>87ae5eb2c5b7fe30bea2821e2ec052453d89ea6b</td>\n",
" <td>13</td>\n",
" <td>uploader_20449</td>\n",
" <td>21</td>\n",
" <td>0</td>\n",
" </tr>\n",
" <tr>\n",
" <th>...</th>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" <td>...</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4645</th>\n",
" <td>5874</td>\n",
" <td>131</td>\n",
" <td>1625602519843</td>\n",
" <td>4b62a655-cbf0-4ac0-a448-06726f45b56a</td>\n",
" <td>2</td>\n",
" <td>2270</td>\n",
" <td>f4ebca8dc7305fe424d6bf7fbcd2e5086f98b453</td>\n",
" <td>90</td>\n",
" <td>uploader_53573</td>\n",
" <td>6</td>\n",
" <td>9</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4646</th>\n",
" <td>5882</td>\n",
" <td>139</td>\n",
" <td>1625753023456</td>\n",
" <td>4b62a655-cbf0-4ac0-a448-06726f45b56a</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>2e5d63f6fddca2b66be810b5946c42eda24f2dbe</td>\n",
" <td>90</td>\n",
" <td>uploader_53573</td>\n",
" <td>2</td>\n",
" <td>13</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4647</th>\n",
" <td>5883</td>\n",
" <td>140</td>\n",
" <td>1625754998767</td>\n",
" <td>4b62a655-cbf0-4ac0-a448-06726f45b56a</td>\n",
" <td>3</td>\n",
" <td>0</td>\n",
" <td>2e5d63f6fddca2b66be810b5946c42eda24f2dbe</td>\n",
" <td>90</td>\n",
" <td>uploader_53573</td>\n",
" <td>2</td>\n",
" <td>13</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4648</th>\n",
" <td>5884</td>\n",
" <td>141</td>\n",
" <td>1625823008392</td>\n",
" <td>4b62a655-cbf0-4ac0-a448-06726f45b56a</td>\n",
" <td>2</td>\n",
" <td>0</td>\n",
" <td>7316d58b7bb7de097a2421c56010ac024a489451</td>\n",
" <td>90</td>\n",
" <td>uploader_53573</td>\n",
" <td>1</td>\n",
" <td>21</td>\n",
" </tr>\n",
" <tr>\n",
" <th>4649</th>\n",
" <td>5903</td>\n",
" <td>158</td>\n",
" <td>1626110930233</td>\n",
" <td>4b62a655-cbf0-4ac0-a448-06726f45b56a</td>\n",
" <td>2</td>\n",
" <td>53</td>\n",
" <td>7db4e9acf7c73837ddecdae5da523a28c774ba94</td>\n",
" <td>90</td>\n",
" <td>uploader_53573</td>\n",
" <td>1</td>\n",
" <td>24</td>\n",
" </tr>\n",
" </tbody>\n",
"</table>\n",
"<p>4650 rows × 11 columns</p>\n",
"</div>"
],
"text/plain": [
" id _id timestamp device_id \\\n",
"0 118 1 1581936081010 78082f9f-98c2-468d-b4a2-7c835bd812bd \n",
"1 176 3 1582295247982 78082f9f-98c2-468d-b4a2-7c835bd812bd \n",
"2 209 4 1582305634014 78082f9f-98c2-468d-b4a2-7c835bd812bd \n",
"3 210 5 1582561530334 78082f9f-98c2-468d-b4a2-7c835bd812bd \n",
"4 253 6 1582627576077 78082f9f-98c2-468d-b4a2-7c835bd812bd \n",
"... ... ... ... ... \n",
"4645 5874 131 1625602519843 4b62a655-cbf0-4ac0-a448-06726f45b56a \n",
"4646 5882 139 1625753023456 4b62a655-cbf0-4ac0-a448-06726f45b56a \n",
"4647 5883 140 1625754998767 4b62a655-cbf0-4ac0-a448-06726f45b56a \n",
"4648 5884 141 1625823008392 4b62a655-cbf0-4ac0-a448-06726f45b56a \n",
"4649 5903 158 1626110930233 4b62a655-cbf0-4ac0-a448-06726f45b56a \n",
"\n",
" call_type call_duration trace \\\n",
"0 2 0 87ae5eb2c5b7fe30bea2821e2ec052453d89ea6b \n",
"1 1 196 87ae5eb2c5b7fe30bea2821e2ec052453d89ea6b \n",
"2 2 237 87ae5eb2c5b7fe30bea2821e2ec052453d89ea6b \n",
"3 2 126 87ae5eb2c5b7fe30bea2821e2ec052453d89ea6b \n",
"4 2 255 87ae5eb2c5b7fe30bea2821e2ec052453d89ea6b \n",
"... ... ... ... \n",
"4645 2 2270 f4ebca8dc7305fe424d6bf7fbcd2e5086f98b453 \n",
"4646 3 0 2e5d63f6fddca2b66be810b5946c42eda24f2dbe \n",
"4647 3 0 2e5d63f6fddca2b66be810b5946c42eda24f2dbe \n",
"4648 2 0 7316d58b7bb7de097a2421c56010ac024a489451 \n",
"4649 2 53 7db4e9acf7c73837ddecdae5da523a28c774ba94 \n",
"\n",
" participant_id username freq contact_id \n",
"0 13 uploader_20449 21 0 \n",
"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",
"4645 90 uploader_53573 6 9 \n",
"4646 90 uploader_53573 2 13 \n",
"4647 90 uploader_53573 2 13 \n",
"4648 90 uploader_53573 1 21 \n",
"4649 90 uploader_53573 1 24 \n",
"\n",
"[4650 rows x 11 columns]"
]
},
"execution_count": 8,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"contact_features(enumerate_contacts(df_calls))"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "straw2analysis",
"language": "python",
"name": "straw2analysis"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.9.6"
}
},
"nbformat": 4,
"nbformat_minor": 2
}