3_Metrics.ipynb

{
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   "source": [
    "## Metrics [[documentation]](https://childproject.readthedocs.io/en/latest/metrics.html)\n",
    "\n",
    "Annotations are often used to derive measures of quantities of interest: speaker vocalization rates, speech duration, average and peak adult word count, etc. Our package allows researchers to derive a wide array of measures from a set annotations regardless of their source (LENA, VTC/VCM/ALICE aka ACLEW, manual annotations, etc.).\n",
    "\n",
    "Let's see how this can be done.\n",
    "As always, we start by loading our project:"
   ]
  },
  {
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   "execution_count": 1,
   "id": "7c338d97-65e2-40b5-bb6a-c77ceaed1acc",
   "metadata": {},
   "outputs": [],
   "source": [
    "from ChildProject.projects import ChildProject\n",
    "from ChildProject.pipelines.metrics import LenaMetrics, AclewMetrics\n",
    "\n",
    "project = ChildProject(\"/mnt/data/vandam-data\")"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f58af1e-bf59-421f-9897-8ba5b7fbed77",
   "metadata": {},
   "source": [
    "That's it! We can now derive the usual LENA metrics, for instance:"
   ]
  },
  {
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   "execution_count": 2,
   "id": "8c10cc80-a5b8-44a6-893a-fb99522e6a7d",
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       "      <th></th>\n",
       "      <th>recording_filename</th>\n",
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       "      <th>voc_fem_ph</th>\n",
       "      <th>lp_dur</th>\n",
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       "      <th>wc_adu_ph</th>\n",
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       "  recording_filename  child_id  duration_its  voc_fem_ph    lp_dur      lp_n  \\\n",
       "0    BN32_010007.mp3         1      50464512  151.805689  0.447767  0.544608   \n",
       "\n",
       "     wc_adu_ph   wc_mal_ph   wc_fem_ph  avg_voc_dur_chi  ...  avg_voc_dur_mal  \\\n",
       "0  1372.431145  624.116131  748.315014      1051.931961  ...      1569.945055   \n",
       "\n",
       "   voc_dur_chi_ph  voc_dur_och_ph  voc_dur_mal_ph  voc_dur_fem_ph  voc_chi_ph  \\\n",
       "0   178674.867598    85687.462905   163065.561795   194414.007214  169.854015   \n",
       "\n",
       "   voc_och_ph  voc_mal_ph  avg_voc_dur_fem  lena_CTC  \n",
       "0   77.900288   103.86705      1280.676692       515  \n",
       "\n",
       "[1 rows x 22 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
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    }
   ],
   "source": [
    "metrics = LenaMetrics(project, set=\"its\")\n",
    "metrics.extract()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dd25d466-7a42-4a65-b6aa-02066a0eeee4",
   "metadata": {},
   "source": [
    "By default, metrics are aggregated over each recording. But we can also group them by child, for instance. This is equivalent here, because we have just one recording for the unique child in the corpus:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
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       "   child_id  duration_its  voc_fem_ph    lp_dur      lp_n    wc_adu_ph  \\\n",
       "0       1.0    50464512.0  151.805689  0.447767  0.544608  1372.431145   \n",
       "\n",
       "    wc_mal_ph   wc_fem_ph  avg_voc_dur_chi  avg_voc_dur_och  ...  \\\n",
       "0  624.116131  748.315014      1051.931961       1099.96337  ...   \n",
       "\n",
       "   avg_voc_dur_mal  voc_dur_chi_ph  voc_dur_och_ph  voc_dur_mal_ph  \\\n",
       "0      1569.945055   178674.867598    85687.462905   163065.561795   \n",
       "\n",
       "   voc_dur_fem_ph  voc_chi_ph  voc_och_ph  voc_mal_ph  avg_voc_dur_fem  \\\n",
       "0   194414.007214  169.854015   77.900288   103.86705      1280.676692   \n",
       "\n",
       "   lena_CTC  \n",
       "0     515.0  \n",
       "\n",
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     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "metrics = LenaMetrics(project, set=\"its\", by=\"child_id\")\n",
    "metrics.extract()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9b495933-6b7c-43e1-b6d3-818da1a27494",
   "metadata": {},
   "source": [
    "We can also derive metrics per time-period (e.g. every hour) and for portions of the recordings comprised within specific parts of the day (for instance, the morning):"
   ]
  },
  {
   "cell_type": "code",
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       "      <td>1</td>\n",
       "      <td>3600000.0</td>\n",
       "      <td>204.0</td>\n",
       "      <td>0.560906</td>\n",
       "      <td>0.658824</td>\n",
       "      <td>1391.64</td>\n",
       "      <td>543.87</td>\n",
       "      <td>...</td>\n",
       "      <td>1345.535714</td>\n",
       "      <td>251920.0</td>\n",
       "      <td>158080.0</td>\n",
       "      <td>150700.0</td>\n",
       "      <td>246170.0</td>\n",
       "      <td>222.0</td>\n",
       "      <td>135.0</td>\n",
       "      <td>112.0</td>\n",
       "      <td>1206.715686</td>\n",
       "      <td>53.0</td>\n",
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       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>BN32_010007.mp3</td>\n",
       "      <td>08:00:00</td>\n",
       "      <td>09:00:00</td>\n",
       "      <td>1</td>\n",
       "      <td>3600000.0</td>\n",
       "      <td>61.0</td>\n",
       "      <td>0.609316</td>\n",
       "      <td>0.649007</td>\n",
       "      <td>1729.27</td>\n",
       "      <td>1417.50</td>\n",
       "      <td>...</td>\n",
       "      <td>1715.891089</td>\n",
       "      <td>145960.0</td>\n",
       "      <td>155130.0</td>\n",
       "      <td>346610.0</td>\n",
       "      <td>73270.0</td>\n",
       "      <td>134.0</td>\n",
       "      <td>139.0</td>\n",
       "      <td>202.0</td>\n",
       "      <td>1201.147541</td>\n",
       "      <td>45.0</td>\n",
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       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>BN32_010007.mp3</td>\n",
       "      <td>09:00:00</td>\n",
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       "      <td>0.00</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>BN32_010007.mp3</td>\n",
       "      <td>10:00:00</td>\n",
       "      <td>11:00:00</td>\n",
       "      <td>1</td>\n",
       "      <td>3600000.0</td>\n",
       "      <td>202.0</td>\n",
       "      <td>0.352955</td>\n",
       "      <td>0.495455</td>\n",
       "      <td>1029.48</td>\n",
       "      <td>163.00</td>\n",
       "      <td>...</td>\n",
       "      <td>1257.419355</td>\n",
       "      <td>228220.0</td>\n",
       "      <td>62930.0</td>\n",
       "      <td>38980.0</td>\n",
       "      <td>248840.0</td>\n",
       "      <td>214.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>1231.881188</td>\n",
       "      <td>33.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>BN32_010007.mp3</td>\n",
       "      <td>11:00:00</td>\n",
       "      <td>12:00:00</td>\n",
       "      <td>1</td>\n",
       "      <td>3600000.0</td>\n",
       "      <td>131.0</td>\n",
       "      <td>0.483895</td>\n",
       "      <td>0.605678</td>\n",
       "      <td>596.18</td>\n",
       "      <td>20.24</td>\n",
       "      <td>...</td>\n",
       "      <td>1101.250000</td>\n",
       "      <td>301600.0</td>\n",
       "      <td>79540.0</td>\n",
       "      <td>8810.0</td>\n",
       "      <td>154060.0</td>\n",
       "      <td>284.0</td>\n",
       "      <td>83.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>1176.030534</td>\n",
       "      <td>48.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>BN32_010007.mp3</td>\n",
       "      <td>12:00:00</td>\n",
       "      <td>13:00:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>BN32_010007.mp3</td>\n",
       "      <td>13:00:00</td>\n",
       "      <td>14:00:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>BN32_010007.mp3</td>\n",
       "      <td>14:00:00</td>\n",
       "      <td>15:00:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>BN32_010007.mp3</td>\n",
       "      <td>15:00:00</td>\n",
       "      <td>16:00:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>BN32_010007.mp3</td>\n",
       "      <td>16:00:00</td>\n",
       "      <td>17:00:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>BN32_010007.mp3</td>\n",
       "      <td>17:00:00</td>\n",
       "      <td>18:00:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>BN32_010007.mp3</td>\n",
       "      <td>18:00:00</td>\n",
       "      <td>19:00:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>BN32_010007.mp3</td>\n",
       "      <td>19:00:00</td>\n",
       "      <td>20:00:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>BN32_010007.mp3</td>\n",
       "      <td>20:00:00</td>\n",
       "      <td>21:00:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>BN32_010007.mp3</td>\n",
       "      <td>21:00:00</td>\n",
       "      <td>22:00:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>BN32_010007.mp3</td>\n",
       "      <td>22:00:00</td>\n",
       "      <td>23:00:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>BN32_010007.mp3</td>\n",
       "      <td>23:00:00</td>\n",
       "      <td>00:00:00</td>\n",
       "      <td>1</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>24 rows × 24 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   recording_filename period_start period_end  child_id  duration_its  \\\n",
       "0     BN32_010007.mp3     00:00:00   01:00:00         1           0.0   \n",
       "1     BN32_010007.mp3     01:00:00   02:00:00         1           0.0   \n",
       "2     BN32_010007.mp3     02:00:00   03:00:00         1           0.0   \n",
       "3     BN32_010007.mp3     03:00:00   04:00:00         1           0.0   \n",
       "4     BN32_010007.mp3     04:00:00   05:00:00         1           0.0   \n",
       "5     BN32_010007.mp3     05:00:00   06:00:00         1           0.0   \n",
       "6     BN32_010007.mp3     06:00:00   07:00:00         1           0.0   \n",
       "7     BN32_010007.mp3     07:00:00   08:00:00         1     3600000.0   \n",
       "8     BN32_010007.mp3     08:00:00   09:00:00         1     3600000.0   \n",
       "9     BN32_010007.mp3     09:00:00   10:00:00         1     3600000.0   \n",
       "10    BN32_010007.mp3     10:00:00   11:00:00         1     3600000.0   \n",
       "11    BN32_010007.mp3     11:00:00   12:00:00         1     3600000.0   \n",
       "12    BN32_010007.mp3     12:00:00   13:00:00         1           0.0   \n",
       "13    BN32_010007.mp3     13:00:00   14:00:00         1           0.0   \n",
       "14    BN32_010007.mp3     14:00:00   15:00:00         1           0.0   \n",
       "15    BN32_010007.mp3     15:00:00   16:00:00         1           0.0   \n",
       "16    BN32_010007.mp3     16:00:00   17:00:00         1           0.0   \n",
       "17    BN32_010007.mp3     17:00:00   18:00:00         1           0.0   \n",
       "18    BN32_010007.mp3     18:00:00   19:00:00         1           0.0   \n",
       "19    BN32_010007.mp3     19:00:00   20:00:00         1           0.0   \n",
       "20    BN32_010007.mp3     20:00:00   21:00:00         1           0.0   \n",
       "21    BN32_010007.mp3     21:00:00   22:00:00         1           0.0   \n",
       "22    BN32_010007.mp3     22:00:00   23:00:00         1           0.0   \n",
       "23    BN32_010007.mp3     23:00:00   00:00:00         1           0.0   \n",
       "\n",
       "    voc_fem_ph    lp_dur      lp_n  wc_adu_ph  wc_mal_ph  ...  \\\n",
       "0          NaN       NaN       NaN        NaN        NaN  ...   \n",
       "1          NaN       NaN       NaN        NaN        NaN  ...   \n",
       "2          NaN       NaN       NaN        NaN        NaN  ...   \n",
       "3          NaN       NaN       NaN        NaN        NaN  ...   \n",
       "4          NaN       NaN       NaN        NaN        NaN  ...   \n",
       "5          NaN       NaN       NaN        NaN        NaN  ...   \n",
       "6          NaN       NaN       NaN        NaN        NaN  ...   \n",
       "7        204.0  0.560906  0.658824    1391.64     543.87  ...   \n",
       "8         61.0  0.609316  0.649007    1729.27    1417.50  ...   \n",
       "9          0.0       NaN       NaN       0.00       0.00  ...   \n",
       "10       202.0  0.352955  0.495455    1029.48     163.00  ...   \n",
       "11       131.0  0.483895  0.605678     596.18      20.24  ...   \n",
       "12         NaN       NaN       NaN        NaN        NaN  ...   \n",
       "13         NaN       NaN       NaN        NaN        NaN  ...   \n",
       "14         NaN       NaN       NaN        NaN        NaN  ...   \n",
       "15         NaN       NaN       NaN        NaN        NaN  ...   \n",
       "16         NaN       NaN       NaN        NaN        NaN  ...   \n",
       "17         NaN       NaN       NaN        NaN        NaN  ...   \n",
       "18         NaN       NaN       NaN        NaN        NaN  ...   \n",
       "19         NaN       NaN       NaN        NaN        NaN  ...   \n",
       "20         NaN       NaN       NaN        NaN        NaN  ...   \n",
       "21         NaN       NaN       NaN        NaN        NaN  ...   \n",
       "22         NaN       NaN       NaN        NaN        NaN  ...   \n",
       "23         NaN       NaN       NaN        NaN        NaN  ...   \n",
       "\n",
       "    avg_voc_dur_mal  voc_dur_chi_ph  voc_dur_och_ph  voc_dur_mal_ph  \\\n",
       "0               NaN             NaN             NaN             NaN   \n",
       "1               NaN             NaN             NaN             NaN   \n",
       "2               NaN             NaN             NaN             NaN   \n",
       "3               NaN             NaN             NaN             NaN   \n",
       "4               NaN             NaN             NaN             NaN   \n",
       "5               NaN             NaN             NaN             NaN   \n",
       "6               NaN             NaN             NaN             NaN   \n",
       "7       1345.535714        251920.0        158080.0        150700.0   \n",
       "8       1715.891089        145960.0        155130.0        346610.0   \n",
       "9               NaN             0.0             0.0             0.0   \n",
       "10      1257.419355        228220.0         62930.0         38980.0   \n",
       "11      1101.250000        301600.0         79540.0          8810.0   \n",
       "12              NaN             NaN             NaN             NaN   \n",
       "13              NaN             NaN             NaN             NaN   \n",
       "14              NaN             NaN             NaN             NaN   \n",
       "15              NaN             NaN             NaN             NaN   \n",
       "16              NaN             NaN             NaN             NaN   \n",
       "17              NaN             NaN             NaN             NaN   \n",
       "18              NaN             NaN             NaN             NaN   \n",
       "19              NaN             NaN             NaN             NaN   \n",
       "20              NaN             NaN             NaN             NaN   \n",
       "21              NaN             NaN             NaN             NaN   \n",
       "22              NaN             NaN             NaN             NaN   \n",
       "23              NaN             NaN             NaN             NaN   \n",
       "\n",
       "    voc_dur_fem_ph  voc_chi_ph  voc_och_ph  voc_mal_ph  avg_voc_dur_fem  \\\n",
       "0              NaN         NaN         NaN         NaN              NaN   \n",
       "1              NaN         NaN         NaN         NaN              NaN   \n",
       "2              NaN         NaN         NaN         NaN              NaN   \n",
       "3              NaN         NaN         NaN         NaN              NaN   \n",
       "4              NaN         NaN         NaN         NaN              NaN   \n",
       "5              NaN         NaN         NaN         NaN              NaN   \n",
       "6              NaN         NaN         NaN         NaN              NaN   \n",
       "7         246170.0       222.0       135.0       112.0      1206.715686   \n",
       "8          73270.0       134.0       139.0       202.0      1201.147541   \n",
       "9              0.0         0.0         0.0         0.0              NaN   \n",
       "10        248840.0       214.0        59.0        31.0      1231.881188   \n",
       "11        154060.0       284.0        83.0         8.0      1176.030534   \n",
       "12             NaN         NaN         NaN         NaN              NaN   \n",
       "13             NaN         NaN         NaN         NaN              NaN   \n",
       "14             NaN         NaN         NaN         NaN              NaN   \n",
       "15             NaN         NaN         NaN         NaN              NaN   \n",
       "16             NaN         NaN         NaN         NaN              NaN   \n",
       "17             NaN         NaN         NaN         NaN              NaN   \n",
       "18             NaN         NaN         NaN         NaN              NaN   \n",
       "19             NaN         NaN         NaN         NaN              NaN   \n",
       "20             NaN         NaN         NaN         NaN              NaN   \n",
       "21             NaN         NaN         NaN         NaN              NaN   \n",
       "22             NaN         NaN         NaN         NaN              NaN   \n",
       "23             NaN         NaN         NaN         NaN              NaN   \n",
       "\n",
       "    lena_CTC  \n",
       "0        NaN  \n",
       "1        NaN  \n",
       "2        NaN  \n",
       "3        NaN  \n",
       "4        NaN  \n",
       "5        NaN  \n",
       "6        NaN  \n",
       "7       53.0  \n",
       "8       45.0  \n",
       "9        0.0  \n",
       "10      33.0  \n",
       "11      48.0  \n",
       "12       NaN  \n",
       "13       NaN  \n",
       "14       NaN  \n",
       "15       NaN  \n",
       "16       NaN  \n",
       "17       NaN  \n",
       "18       NaN  \n",
       "19       NaN  \n",
       "20       NaN  \n",
       "21       NaN  \n",
       "22       NaN  \n",
       "23       NaN  \n",
       "\n",
       "[24 rows x 24 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "metrics = LenaMetrics(project, set=\"its\", from_time=\"07:00:00\", to_time=\"12:00:00\", period=\"1H\")\n",
    "metrics.extract()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0be81436-8b1e-4ff8-af91-02488a1379b6",
   "metadata": {},
   "source": [
    "Let's now compare the metrics derived from the LENA annotations and the VTC annotations:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "be959928-ec4b-4804-bf9a-f1bac2fd28af",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "The ALICE set ('None') was not found in the index.\n",
      "The vcm set ('None') was not found in the index.\n"
     ]
    }
   ],
   "source": [
    "lena = LenaMetrics(project, set=\"its\")\n",
    "lena = lena.extract()\n",
    "vtc = AclewMetrics(project, vtc=\"vtc\", alice=None, vcm=None)\n",
    "vtc = vtc.extract()\n",
    "\n",
    "# remove metrics that are not available in both pipelines\n",
    "common_metrics = sorted(set(lena.columns)&set(vtc.columns))\n",
    "lena = lena[common_metrics]\n",
    "vtc = vtc[common_metrics]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "5db6bf7c-5163-4e6a-8180-2279291278ac",
   "metadata": {},
   "outputs": [
    {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>avg_voc_dur_chi</th>\n",
       "      <th>avg_voc_dur_fem</th>\n",
       "      <th>avg_voc_dur_mal</th>\n",
       "      <th>avg_voc_dur_och</th>\n",
       "      <th>child_id</th>\n",
       "      <th>recording_filename</th>\n",
       "      <th>voc_chi_ph</th>\n",
       "      <th>voc_dur_chi_ph</th>\n",
       "      <th>voc_dur_fem_ph</th>\n",
       "      <th>voc_dur_mal_ph</th>\n",
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       "      <th>0</th>\n",
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       "      <td>344.487627</td>\n",
       "      <td>199.387641</td>\n",
       "      <td>78.899009</td>\n",
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      "text/plain": [
       "   avg_voc_dur_chi  avg_voc_dur_fem  avg_voc_dur_mal  avg_voc_dur_och  \\\n",
       "0          1063.07       958.133568      1258.424329       874.468354   \n",
       "\n",
       "   child_id recording_filename  voc_chi_ph  voc_dur_chi_ph  voc_dur_fem_ph  \\\n",
       "0         1    BN32_010007.mp3  363.820025   386766.153609   330065.159453   \n",
       "\n",
       "   voc_dur_mal_ph  voc_dur_och_ph  voc_fem_ph  voc_mal_ph  voc_och_ph  \n",
       "0   250914.258321    68994.686801  344.487627  199.387641   78.899009  "
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "vtc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "11b9e6ff-90f9-4bcf-9a39-2e56aa3e46af",
   "metadata": {},
   "outputs": [
    {
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       "      <th>avg_voc_dur_chi</th>\n",
       "      <th>avg_voc_dur_fem</th>\n",
       "      <th>avg_voc_dur_mal</th>\n",
       "      <th>avg_voc_dur_och</th>\n",
       "      <th>child_id</th>\n",
       "      <th>recording_filename</th>\n",
       "      <th>voc_chi_ph</th>\n",
       "      <th>voc_dur_chi_ph</th>\n",
       "      <th>voc_dur_fem_ph</th>\n",
       "      <th>voc_dur_mal_ph</th>\n",
       "      <th>voc_dur_och_ph</th>\n",
       "      <th>voc_fem_ph</th>\n",
       "      <th>voc_mal_ph</th>\n",
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       "      <td>103.86705</td>\n",
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       "   avg_voc_dur_chi  avg_voc_dur_fem  avg_voc_dur_mal  avg_voc_dur_och  \\\n",
       "0      1051.931961      1280.676692      1569.945055       1099.96337   \n",
       "\n",
       "   child_id recording_filename  voc_chi_ph  voc_dur_chi_ph  voc_dur_fem_ph  \\\n",
       "0         1    BN32_010007.mp3  169.854015   178674.867598   194414.007214   \n",
       "\n",
       "   voc_dur_mal_ph  voc_dur_och_ph  voc_fem_ph  voc_mal_ph  voc_och_ph  \n",
       "0   163065.561795    85687.462905  151.805689   103.86705   77.900288  "
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lena"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6fd89d84-ed68-41df-9c1c-4b8f6657585c",
   "metadata": {},
   "source": [
    "## Custom  metrics\n",
    "\n",
    "The package supports custom metrics from custom sets of annotation (beyond the LENA, the VTC, ALICE and VCM).\n",
    "https://childproject.readthedocs.io/en/latest/metrics.html#custom-metrics"
   ]
  }
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