1488 rows × 5 columns
\n", "" ], "text/plain": [ " PREC_TOT_T1_25+20_1 UPPER_LIMIT LOWER_LIMIT FLAG_IS_OUTSIDE_RANGE TIMESINCE_PREC_TOT_T1_25+20_1\n", "TIMESTAMP_MIDDLE \n", - "2022-07-01 00:15:00 0.0 6.4 0.00001 1 1\n", - "2022-07-01 00:45:00 0.0 6.4 0.00001 1 2\n", - "2022-07-01 01:15:00 0.0 6.4 0.00001 1 3\n", - "2022-07-01 01:45:00 1.9 6.4 0.00001 0 0\n", - "2022-07-01 02:15:00 6.4 6.4 0.00001 0 0\n", - "... ... ... ... ... ...\n", - "2022-07-31 21:45:00 0.0 6.4 0.00001 1 64\n", - "2022-07-31 22:15:00 0.0 6.4 0.00001 1 65\n", - "2022-07-31 22:45:00 0.0 6.4 0.00001 1 66\n", - "2022-07-31 23:15:00 0.0 6.4 0.00001 1 67\n", - "2022-07-31 23:45:00 0.0 6.4 0.00001 1 68\n", - "\n", - "[1488 rows x 5 columns]" + "2022-07-01 00:15:00 0.0 6.4 0 1 1\n", + "2022-07-01 00:45:00 0.0 6.4 0 1 2\n", + "2022-07-01 01:15:00 0.0 6.4 0 1 3\n", + "2022-07-01 01:45:00 1.9 6.4 0 0 0\n", + "2022-07-01 02:15:00 6.4 6.4 0 1 1\n", + "2022-07-01 02:45:00 3.1 6.4 0 0 0\n", + "2022-07-01 03:15:00 1.4 6.4 0 0 0\n", + "2022-07-01 03:45:00 0.4 6.4 0 0 0\n", + "2022-07-01 04:15:00 0.0 6.4 0 1 1\n", + "2022-07-01 04:45:00 0.0 6.4 0 1 2\n", + "2022-07-01 05:15:00 0.1 6.4 0 0 0\n", + "2022-07-01 05:45:00 0.1 6.4 0 0 0\n", + "2022-07-01 06:15:00 0.0 6.4 0 1 1\n", + "2022-07-01 06:45:00 0.0 6.4 0 1 2\n", + "2022-07-01 07:15:00 0.0 6.4 0 1 3\n", + "2022-07-01 07:45:00 0.0 6.4 0 1 4\n", + "2022-07-01 08:15:00 0.0 6.4 0 1 5\n", + "2022-07-01 08:45:00 0.0 6.4 0 1 6\n", + "2022-07-01 09:15:00 0.0 6.4 0 1 7\n", + "2022-07-01 09:45:00 0.0 6.4 0 1 8" ] }, - "execution_count": 6, + "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "ts_full_results = ts.get_full_results()\n", - "ts_full_results" + "ts_prec_full_results = ts_prec.get_full_results()\n", + "ts_prec_full_results.head(20)" ] }, { @@ -437,23 +510,35 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "text/plain": [ - "\n", + " | Tair_f | \n", + "UPPER_LIMIT | \n", + "LOWER_LIMIT | \n", + "FLAG_IS_OUTSIDE_RANGE | \n", + "TIMESINCE_Tair_f | \n", + "
---|---|---|---|---|---|
TIMESTAMP_MIDDLE | \n", + "\n", + " | \n", + " | \n", + " | \n", + " | \n", + " |
2022-03-01 00:15:00 | \n", + "-7.530 | \n", + "0 | \n", + "-12.273 | \n", + "0 | \n", + "0 | \n", + "
2022-03-01 00:45:00 | \n", + "-7.773 | \n", + "0 | \n", + "-12.273 | \n", + "0 | \n", + "0 | \n", + "
2022-03-01 01:15:00 | \n", + "-7.693 | \n", + "0 | \n", + "-12.273 | \n", + "0 | \n", + "0 | \n", + "
2022-03-01 01:45:00 | \n", + "-8.243 | \n", + "0 | \n", + "-12.273 | \n", + "0 | \n", + "0 | \n", + "
2022-03-01 02:15:00 | \n", + "-8.153 | \n", + "0 | \n", + "-12.273 | \n", + "0 | \n", + "0 | \n", + "
... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "
2022-03-31 21:45:00 | \n", + "-1.057 | \n", + "0 | \n", + "-12.273 | \n", + "0 | \n", + "0 | \n", + "
2022-03-31 22:15:00 | \n", + "-1.140 | \n", + "0 | \n", + "-12.273 | \n", + "0 | \n", + "0 | \n", + "
2022-03-31 22:45:00 | \n", + "-1.220 | \n", + "0 | \n", + "-12.273 | \n", + "0 | \n", + "0 | \n", + "
2022-03-31 23:15:00 | \n", + "-1.360 | \n", + "0 | \n", + "-12.273 | \n", + "0 | \n", + "0 | \n", + "
2022-03-31 23:45:00 | \n", + "-1.467 | \n", + "0 | \n", + "-12.273 | \n", + "0 | \n", + "0 | \n", + "
1488 rows × 5 columns
\n", + "\n", - " | NEE_CUT_REF_orig | \n", - "Tair_f | \n", - "VPD_f | \n", - "Rg_f | \n", - "
---|---|---|---|---|
count | \n", - "41284.000000 | \n", - "175296.000000 | \n", - "175296.000000 | \n", - "175296.000000 | \n", - "
mean | \n", - "-3.833522 | \n", - "4.712999 | \n", - "3.233176 | \n", - "152.671445 | \n", - "
std | \n", - "6.085449 | \n", - "7.548653 | \n", - "3.710180 | \n", - "247.531312 | \n", - "
min | \n", - "-38.653000 | \n", - "-23.096000 | \n", - "0.000000 | \n", - "0.000000 | \n", - "
25% | \n", - "-7.840000 | \n", - "-0.800000 | \n", - "0.661000 | \n", - "0.000000 | \n", - "
50% | \n", - "-3.827000 | \n", - "4.600000 | \n", - "1.991000 | \n", - "2.596000 | \n", - "
75% | \n", - "0.606250 | \n", - "10.067000 | \n", - "4.375000 | \n", - "225.677750 | \n", - "
max | \n", - "25.290000 | \n", - "28.713000 | \n", - "32.118000 | \n", - "1197.800000 | \n", - "
\n", - " | NEE_CUT_REF_orig | \n", - "
---|---|
STARTDATE | \n", - "2013-01-01 00:15 | \n", - "
ENDDATE | \n", - "2022-12-31 23:45 | \n", - "
PERIOD | \n", - "3651 days 23:30:00 | \n", - "
NOV | \n", - "41284 | \n", - "
MISSING | \n", - "134012 | \n", - "
MISSING_PERC | \n", - "76.448978 | \n", - "
MEAN | \n", - "-3.833522 | \n", - "
SD | \n", - "6.085449 | \n", - "
VAR | \n", - "37.032694 | \n", - "
SD/MEAN | \n", - "-1.58743 | \n", - "
SUM | \n", - "-158263.133 | \n", - "
MEDIAN | \n", - "-3.827 | \n", - "
MIN | \n", - "-38.653 | \n", - "
MAX | \n", - "25.29 | \n", - "
P01 | \n", - "-18.7924 | \n", - "
P05 | \n", - "-13.7397 | \n", - "
P25 | \n", - "-7.84 | \n", - "
P75 | \n", - "0.60625 | \n", - "
P95 | \n", - "5.48585 | \n", - "
P99 | \n", - "10.92289 | \n", - "
\n", - " | PERM_IMPORTANCE | \n", - "PERM_SD | \n", - "
---|---|---|
Rg_f | \n", - "1.051350 | \n", - "0.004352 | \n", - "
.DOY | \n", - "0.296587 | \n", - "0.002639 | \n", - "
Tair_f | \n", - "0.227427 | \n", - "0.001968 | \n", - "
.Rg_f-1 | \n", - "0.193330 | \n", - "0.002117 | \n", - "
.HOUR | \n", - "0.190701 | \n", - "0.002925 | \n", - "
.Tair_f-1 | \n", - "0.186915 | \n", - "0.001672 | \n", - "
.VPD_f-1 | \n", - "0.140234 | \n", - "0.001066 | \n", - "
VPD_f | \n", - "0.105163 | \n", - "0.001561 | \n", - "
.YEARMONTH | \n", - "0.079876 | \n", - "0.001374 | \n", - "
.RECORDNUMBER | \n", - "0.059402 | \n", - "0.001180 | \n", - "
.WEEK | \n", - "0.048096 | \n", - "0.000622 | \n", - "
.YEARDOY | \n", - "0.025397 | \n", - "0.000353 | \n", - "
.YEARWEEK | \n", - "0.018915 | \n", - "0.000470 | \n", - "
.SEASON | \n", - "0.008717 | \n", - "0.000464 | \n", - "
.MONTH | \n", - "0.000612 | \n", - "0.000060 | \n", - "
.YEAR | \n", - "0.000179 | \n", - "0.000020 | \n", - "
\n", - " | PERM_IMPORTANCE | \n", - "PERM_SD | \n", - "
---|---|---|
Rg_f | \n", - "0.926557 | \n", - "0.009197 | \n", - "
.DOY | \n", - "0.171640 | \n", - "0.006681 | \n", - "
Tair_f | \n", - "0.118450 | \n", - "0.004091 | \n", - "
.Rg_f-1 | \n", - "0.106956 | \n", - "0.001572 | \n", - "
.Tair_f-1 | \n", - "0.102180 | \n", - "0.002777 | \n", - "
.HOUR | \n", - "0.079851 | \n", - "0.002950 | \n", - "
.VPD_f-1 | \n", - "0.058664 | \n", - "0.002984 | \n", - "
VPD_f | \n", - "0.046023 | \n", - "0.001969 | \n", - "
.WEEK | \n", - "0.032746 | \n", - "0.001603 | \n", - "
.YEARMONTH | \n", - "0.029165 | \n", - "0.001746 | \n", - "
.RECORDNUMBER | \n", - "0.020962 | \n", - "0.002855 | \n", - "
.YEARDOY | \n", - "0.019184 | \n", - "0.002273 | \n", - "
.YEARWEEK | \n", - "0.010890 | \n", - "0.001287 | \n", - "
.YEAR | \n", - "0.007257 | \n", - "0.000959 | \n", - "
.SEASON | \n", - "0.003826 | \n", - "0.000509 | \n", - "
.MONTH | \n", - "0.001693 | \n", - "0.000456 | \n", - "
.RANDOM | \n", - "-0.001247 | \n", - "0.001324 | \n", - "
\n", - " | PERM_IMPORTANCE | \n", - "PERM_SD | \n", - "
---|---|---|
Rg_f | \n", - "0.894080 | \n", - "0.012196 | \n", - "
.DOY | \n", - "0.193860 | \n", - "0.007116 | \n", - "
Tair_f | \n", - "0.128585 | \n", - "0.004280 | \n", - "
.Rg_f-1 | \n", - "0.106424 | \n", - "0.002401 | \n", - "
.Tair_f-1 | \n", - "0.105614 | \n", - "0.002766 | \n", - "
.HOUR | \n", - "0.090925 | \n", - "0.004901 | \n", - "
.VPD_f-1 | \n", - "0.066292 | \n", - "0.003484 | \n", - "
VPD_f | \n", - "0.051065 | \n", - "0.002615 | \n", - "
.YEARMONTH | \n", - "0.042469 | \n", - "0.001768 | \n", - "
.RECORDNUMBER | \n", - "0.026220 | \n", - "0.003046 | \n", - "
.WEEK | \n", - "0.022986 | \n", - "0.001207 | \n", - "
.YEARDOY | \n", - "0.011965 | \n", - "0.001316 | \n", - "
.YEARWEEK | \n", - "0.005948 | \n", - "0.000875 | \n", - "
.SEASON | \n", - "0.001912 | \n", - "0.000977 | \n", - "
.MONTH | \n", - "0.000424 | \n", - "0.000147 | \n", - "
.YEAR | \n", - "-0.000012 | \n", - "0.000115 | \n", - "
\n", - " | .PREDICTIONS_FULLMODEL | \n", - "NEE_CUT_REF_orig | \n", - ".GAP_PREDICTIONS | \n", - "FLAG_NEE_CUT_REF_orig_gfRF_ISFILLED | \n", - "NEE_CUT_REF_orig_gfRF | \n", - ".PREDICTIONS_FALLBACK | \n", - ".GAPFILLED_CUMULATIVE | \n", - ".PREDICTIONS | \n", - "
---|---|---|---|---|---|---|---|---|
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2013-01-01 00:45:00 | \n", - "0.465840 | \n", - "NaN | \n", - "0.465840 | \n", - "1.0 | \n", - "0.465840 | \n", - "0.408063 | \n", - "0.873904 | \n", - "0.465840 | \n", - "
2013-01-01 01:15:00 | \n", - "0.506889 | \n", - "NaN | \n", - "0.506889 | \n", - "1.0 | \n", - "0.506889 | \n", - "0.465039 | \n", - "1.380792 | \n", - "0.506889 | \n", - "
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2013-01-01 02:15:00 | \n", - "-0.770389 | \n", - "NaN | \n", - "-0.770389 | \n", - "1.0 | \n", - "-0.770389 | \n", - "-0.182867 | \n", - "1.148403 | \n", - "-0.770389 | \n", - "
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2022-12-31 21:45:00 | \n", - "3.145056 | \n", - "NaN | \n", - "3.145056 | \n", - "1.0 | \n", - "3.145056 | \n", - "1.902051 | \n", - "-84345.272093 | \n", - "3.145056 | \n", - "
2022-12-31 22:15:00 | \n", - "3.459471 | \n", - "3.518 | \n", - "NaN | \n", - "0.0 | \n", - "3.518000 | \n", - "0.029508 | \n", - "-84341.754093 | \n", - "3.459471 | \n", - "
2022-12-31 22:45:00 | \n", - "0.731468 | \n", - "NaN | \n", - "0.731468 | \n", - "1.0 | \n", - "0.731468 | \n", - "0.029508 | \n", - "-84341.022625 | \n", - "0.731468 | \n", - "
2022-12-31 23:15:00 | \n", - "0.780104 | \n", - "NaN | \n", - "0.780104 | \n", - "1.0 | \n", - "0.780104 | \n", - "-0.119993 | \n", - "-84340.242521 | \n", - "0.780104 | \n", - "
2022-12-31 23:45:00 | \n", - "0.088840 | \n", - "NaN | \n", - "0.088840 | \n", - "1.0 | \n", - "0.088840 | \n", - "-0.119993 | \n", - "-84340.153682 | \n", - "0.088840 | \n", - "
175296 rows × 8 columns
\n", - "XGBRegressor(base_score=None, booster=None, callbacks=None,\n", - " colsample_bylevel=None, colsample_bynode=None,\n", - " colsample_bytree=None, device=None, early_stopping_rounds=10,\n", - " enable_categorical=False, eval_metric=None, feature_types=None,\n", - " gamma=None, grow_policy=None, importance_type=None,\n", - " interaction_constraints=None, learning_rate=0.3, max_bin=None,\n", - " max_cat_threshold=None, max_cat_to_onehot=None,\n", - " max_delta_step=None, max_depth=0, max_leaves=None,\n", - " min_child_weight=None, missing=nan, monotone_constraints=None,\n", - " multi_strategy=None, n_estimators=99, n_jobs=-1,\n", - " num_parallel_tree=None, random_state=42, ...)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
XGBRegressor(base_score=None, booster=None, callbacks=None,\n", - " colsample_bylevel=None, colsample_bynode=None,\n", - " colsample_bytree=None, device=None, early_stopping_rounds=10,\n", - " enable_categorical=False, eval_metric=None, feature_types=None,\n", - " gamma=None, grow_policy=None, importance_type=None,\n", - " interaction_constraints=None, learning_rate=0.3, max_bin=None,\n", - " max_cat_threshold=None, max_cat_to_onehot=None,\n", - " max_delta_step=None, max_depth=0, max_leaves=None,\n", - " min_child_weight=None, missing=nan, monotone_constraints=None,\n", - " multi_strategy=None, n_estimators=99, n_jobs=-1,\n", - " num_parallel_tree=None, random_state=42, ...)
\n", - " | .PREDICTIONS_FULLMODEL | \n", - "NEE_CUT_REF_orig | \n", - ".GAP_PREDICTIONS | \n", - "FLAG_NEE_CUT_REF_orig_gfRF_ISFILLED | \n", - "NEE_CUT_REF_orig_gfRF | \n", - ".PREDICTIONS_FALLBACK | \n", - ".GAPFILLED_CUMULATIVE | \n", - ".PREDICTIONS | \n", - "
---|---|---|---|---|---|---|---|---|
TIMESTAMP_MIDDLE | \n", - "\n", - " | \n", - " | \n", - " | \n", - " | \n", - " | \n", - " | \n", - " | \n", - " |
2013-01-01 00:15:00 | \n", - "NaN | \n", - "NaN | \n", - "NaN | \n", - "2.0 | \n", - "0.408063 | \n", - "0.408063 | \n", - "0.408063 | \n", - "0.408063 | \n", - "
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2013-01-01 01:15:00 | \n", - "0.506889 | \n", - "NaN | \n", - "0.506889 | \n", - "1.0 | \n", - "0.506889 | \n", - "0.465039 | \n", - "1.380792 | \n", - "0.506889 | \n", - "
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... | \n", - "... | \n", - "... | \n", - "... | \n", - "... | \n", - "... | \n", - "... | \n", - "... | \n", - "... | \n", - "
2022-12-31 21:45:00 | \n", - "3.145056 | \n", - "NaN | \n", - "3.145056 | \n", - "1.0 | \n", - "3.145056 | \n", - "1.902051 | \n", - "-84345.272093 | \n", - "3.145056 | \n", - "
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2022-12-31 23:15:00 | \n", - "0.780104 | \n", - "NaN | \n", - "0.780104 | \n", - "1.0 | \n", - "0.780104 | \n", - "-0.119993 | \n", - "-84340.242521 | \n", - "0.780104 | \n", - "
2022-12-31 23:45:00 | \n", - "0.088840 | \n", - "NaN | \n", - "0.088840 | \n", - "1.0 | \n", - "0.088840 | \n", - "-0.119993 | \n", - "-84340.153682 | \n", - "0.088840 | \n", - "
175296 rows × 8 columns
\n", - "\n", + " | NEE_CUT_REF_orig | \n", + "Tair_f | \n", + "VPD_f | \n", + "Rg_f | \n", + "SWC_FF0_0.15_1 | \n", + "PPFD | \n", + "TA>0 | \n", + "TA>20 | \n", + "DAYTIME | \n", + "NIGHTTIME | \n", + "
---|---|---|---|---|---|---|---|---|---|---|
TIMESTAMP_MIDDLE | \n", + "\n", + " | \n", + " | \n", + " | \n", + " | \n", + " | \n", + " | \n", + " | \n", + " | \n", + " | \n", + " |
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2013-01-01 01:45:00 | \n", + "0.538 | \n", + "-1.657 | \n", + "1.332 | \n", + "0.0 | \n", + "34.975 | \n", + "-0.018 | \n", + "0 | \n", + "4 | \n", + "0.0 | \n", + "1.0 | \n", + "
2013-01-01 02:15:00 | \n", + "NaN | \n", + "-0.567 | \n", + "3.545 | \n", + "0.0 | \n", + "34.967 | \n", + "0.007 | \n", + "0 | \n", + "5 | \n", + "0.0 | \n", + "1.0 | \n", + "
... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "
2022-12-31 21:45:00 | \n", + "NaN | \n", + "3.463 | \n", + "2.210 | \n", + "0.0 | \n", + "19.572 | \n", + "0.000 | \n", + "71 | \n", + "5241 | \n", + "0.0 | \n", + "1.0 | \n", + "
2022-12-31 22:15:00 | \n", + "3.518 | \n", + "5.283 | \n", + "3.327 | \n", + "0.0 | \n", + "19.577 | \n", + "0.000 | \n", + "72 | \n", + "5242 | \n", + "0.0 | \n", + "1.0 | \n", + "
2022-12-31 22:45:00 | \n", + "NaN | \n", + "5.537 | \n", + "3.467 | \n", + "0.0 | \n", + "19.589 | \n", + "0.000 | \n", + "73 | \n", + "5243 | \n", + "0.0 | \n", + "1.0 | \n", + "
2022-12-31 23:15:00 | \n", + "NaN | \n", + "4.963 | \n", + "3.010 | \n", + "0.0 | \n", + "19.609 | \n", + "0.000 | \n", + "74 | \n", + "5244 | \n", + "0.0 | \n", + "1.0 | \n", + "
2022-12-31 23:45:00 | \n", + "NaN | \n", + "6.490 | \n", + "3.905 | \n", + "0.0 | \n", + "19.631 | \n", + "0.000 | \n", + "75 | \n", + "5245 | \n", + "0.0 | \n", + "1.0 | \n", + "
175296 rows × 10 columns
\n", + "\n", + " | NEE_CUT_REF_orig | \n", + "Tair_f | \n", + "VPD_f | \n", + "Rg_f | \n", + "SWC_FF0_0.15_1 | \n", + "PPFD | \n", + "TA>0 | \n", + "TA>20 | \n", + "DAYTIME | \n", + "NIGHTTIME | \n", + "
---|---|---|---|---|---|---|---|---|---|---|
count | \n", + "41284.000000 | \n", + "175296.000000 | \n", + "175296.000000 | \n", + "175296.000000 | \n", + "164568.000000 | \n", + "175060.000000 | \n", + "175296.000000 | \n", + "175296.000000 | \n", + "175296.000000 | \n", + "175296.000000 | \n", + "
mean | \n", + "-3.833522 | \n", + "4.712999 | \n", + "3.233176 | \n", + "152.671445 | \n", + "23.909444 | \n", + "305.280529 | \n", + "1210.571211 | \n", + "4501.219229 | \n", + "0.480969 | \n", + "0.519031 | \n", + "
std | \n", + "6.085449 | \n", + "7.548653 | \n", + "3.710180 | \n", + "247.531312 | \n", + "4.890167 | \n", + "494.128310 | \n", + "1860.740670 | \n", + "4086.748021 | \n", + "0.499639 | \n", + "0.499639 | \n", + "
min | \n", + "-38.653000 | \n", + "-23.096000 | \n", + "0.000000 | \n", + "0.000000 | \n", + "12.436000 | \n", + "-2.707000 | \n", + "0.000000 | \n", + "0.000000 | \n", + "0.000000 | \n", + "0.000000 | \n", + "
25% | \n", + "-7.840000 | \n", + "-0.800000 | \n", + "0.661000 | \n", + "0.000000 | \n", + "20.748000 | \n", + "0.000000 | \n", + "0.000000 | \n", + "430.000000 | \n", + "0.000000 | \n", + "0.000000 | \n", + "
50% | \n", + "-3.827000 | \n", + "4.600000 | \n", + "1.991000 | \n", + "2.596000 | \n", + "24.496000 | \n", + "9.721000 | \n", + "119.000000 | \n", + "3655.000000 | \n", + "0.000000 | \n", + "1.000000 | \n", + "
75% | \n", + "0.606250 | \n", + "10.067000 | \n", + "4.375000 | \n", + "225.677750 | \n", + "27.106000 | \n", + "449.168500 | \n", + "1895.000000 | \n", + "7881.250000 | \n", + "1.000000 | \n", + "1.000000 | \n", + "
max | \n", + "25.290000 | \n", + "28.713000 | \n", + "32.118000 | \n", + "1197.800000 | \n", + "41.451000 | \n", + "2420.772000 | \n", + "7853.000000 | \n", + "13386.000000 | \n", + "1.000000 | \n", + "1.000000 | \n", + "
\n", + " | NEE_CUT_REF_orig | \n", + "
---|---|
STARTDATE | \n", + "2013-01-01 00:15 | \n", + "
ENDDATE | \n", + "2022-12-31 23:45 | \n", + "
PERIOD | \n", + "3651 days 23:30:00 | \n", + "
NOV | \n", + "41284 | \n", + "
MISSING | \n", + "134012 | \n", + "
MISSING_PERC | \n", + "76.448978 | \n", + "
MEAN | \n", + "-3.833522 | \n", + "
SD | \n", + "6.085449 | \n", + "
VAR | \n", + "37.032694 | \n", + "
SD/MEAN | \n", + "-1.58743 | \n", + "
SUM | \n", + "-158263.133 | \n", + "
MEDIAN | \n", + "-3.827 | \n", + "
MIN | \n", + "-38.653 | \n", + "
MAX | \n", + "25.29 | \n", + "
P01 | \n", + "-18.7924 | \n", + "
P05 | \n", + "-13.7397 | \n", + "
P25 | \n", + "-7.84 | \n", + "
P75 | \n", + "0.60625 | \n", + "
P95 | \n", + "5.48585 | \n", + "
P99 | \n", + "10.92289 | \n", + "
\n", + " | PERM_IMPORTANCE | \n", + "PERM_SD | \n", + "
---|---|---|
PPFD | \n", + "0.855478 | \n", + "0.008094 | \n", + "
Rg_f | \n", + "0.418334 | \n", + "0.002930 | \n", + "
.DOY | \n", + "0.290443 | \n", + "0.002548 | \n", + "
.Tair_f-1 | \n", + "0.167019 | \n", + "0.001806 | \n", + "
.PPFD-1 | \n", + "0.159044 | \n", + "0.001105 | \n", + "
.HOUR | \n", + "0.155978 | \n", + "0.001534 | \n", + "
TA>0 | \n", + "0.145487 | \n", + "0.001513 | \n", + "
.VPD_f-1 | \n", + "0.103784 | \n", + "0.001243 | \n", + "
VPD_f | \n", + "0.093352 | \n", + "0.001234 | \n", + "
TA>20 | \n", + "0.079123 | \n", + "0.001186 | \n", + "
Tair_f | \n", + "0.064797 | \n", + "0.000796 | \n", + "
.YEARMONTH | \n", + "0.060251 | \n", + "0.000491 | \n", + "
SWC_FF0_0.15_1 | \n", + "0.045272 | \n", + "0.000751 | \n", + "
.YEARDOY | \n", + "0.037616 | \n", + "0.000461 | \n", + "
.WEEK | \n", + "0.025129 | \n", + "0.000668 | \n", + "
.YEARWEEK | \n", + "0.015987 | \n", + "0.000450 | \n", + "
.RECORDNUMBER | \n", + "0.012780 | \n", + "0.000525 | \n", + "
.SWC_FF0_0.15_1-1 | \n", + "0.011681 | \n", + "0.000200 | \n", + "
.SEASON | \n", + "0.006616 | \n", + "0.000421 | \n", + "
DAYTIME | \n", + "0.000329 | \n", + "0.000029 | \n", + "
.MONTH | \n", + "0.000045 | \n", + "0.000013 | \n", + "
.YEAR | \n", + "0.000005 | \n", + "0.000001 | \n", + "
\n", + " | PERM_IMPORTANCE | \n", + "PERM_SD | \n", + "
---|---|---|
PPFD | \n", + "0.656127 | \n", + "0.016446 | \n", + "
Rg_f | \n", + "0.262034 | \n", + "0.007137 | \n", + "
.DOY | \n", + "0.205513 | \n", + "0.005364 | \n", + "
.Tair_f-1 | \n", + "0.079822 | \n", + "0.003131 | \n", + "
TA>0 | \n", + "0.075373 | \n", + "0.002531 | \n", + "
.HOUR | \n", + "0.064995 | \n", + "0.002478 | \n", + "
.PPFD-1 | \n", + "0.061491 | \n", + "0.002567 | \n", + "
.VPD_f-1 | \n", + "0.054092 | \n", + "0.002437 | \n", + "
VPD_f | \n", + "0.047772 | \n", + "0.002639 | \n", + "
Tair_f | \n", + "0.038874 | \n", + "0.002177 | \n", + "
TA>20 | \n", + "0.037122 | \n", + "0.001843 | \n", + "
.YEARMONTH | \n", + "0.017172 | \n", + "0.002322 | \n", + "
.WEEK | \n", + "0.014733 | \n", + "0.001283 | \n", + "
SWC_FF0_0.15_1 | \n", + "0.011715 | \n", + "0.001403 | \n", + "
.YEARDOY | \n", + "0.008077 | \n", + "0.001215 | \n", + "
.YEARWEEK | \n", + "0.004891 | \n", + "0.000889 | \n", + "
.RECORDNUMBER | \n", + "0.004667 | \n", + "0.000807 | \n", + "
.SWC_FF0_0.15_1-1 | \n", + "0.003663 | \n", + "0.000528 | \n", + "
.SEASON | \n", + "0.002144 | \n", + "0.001281 | \n", + "
.YEAR | \n", + "0.001410 | \n", + "0.000662 | \n", + "
.MONTH | \n", + "0.000734 | \n", + "0.000278 | \n", + "
DAYTIME | \n", + "0.000432 | \n", + "0.000082 | \n", + "
.RANDOM | \n", + "0.000289 | \n", + "0.000759 | \n", + "
NIGHTTIME | \n", + "0.000000 | \n", + "0.000000 | \n", + "
\n", + " | PERM_IMPORTANCE | \n", + "PERM_SD | \n", + "
---|---|---|
PPFD | \n", + "0.726870 | \n", + "0.018808 | \n", + "
Rg_f | \n", + "0.313242 | \n", + "0.009623 | \n", + "
.DOY | \n", + "0.204575 | \n", + "0.004805 | \n", + "
.Tair_f-1 | \n", + "0.087559 | \n", + "0.002722 | \n", + "
.PPFD-1 | \n", + "0.080980 | \n", + "0.002913 | \n", + "
TA>0 | \n", + "0.076304 | \n", + "0.002757 | \n", + "
.HOUR | \n", + "0.067381 | \n", + "0.004399 | \n", + "
.VPD_f-1 | \n", + "0.047683 | \n", + "0.002429 | \n", + "
VPD_f | \n", + "0.045454 | \n", + "0.003111 | \n", + "
TA>20 | \n", + "0.039324 | \n", + "0.002122 | \n", + "
Tair_f | \n", + "0.034515 | \n", + "0.002593 | \n", + "
.YEARMONTH | \n", + "0.019787 | \n", + "0.001988 | \n", + "
SWC_FF0_0.15_1 | \n", + "0.015082 | \n", + "0.001230 | \n", + "
.WEEK | \n", + "0.013929 | \n", + "0.001078 | \n", + "
.YEARDOY | \n", + "0.013754 | \n", + "0.001545 | \n", + "
.RECORDNUMBER | \n", + "0.006090 | \n", + "0.000791 | \n", + "
.YEARWEEK | \n", + "0.005609 | \n", + "0.001148 | \n", + "
.SWC_FF0_0.15_1-1 | \n", + "0.004152 | \n", + "0.000613 | \n", + "
.SEASON | \n", + "0.001800 | \n", + "0.001230 | \n", + "
DAYTIME | \n", + "0.000286 | \n", + "0.000051 | \n", + "
.YEAR | \n", + "0.000006 | \n", + "0.000005 | \n", + "
.MONTH | \n", + "-0.000021 | \n", + "0.000061 | \n", + "
\n", + " | .PREDICTIONS_FULLMODEL | \n", + "NEE_CUT_REF_orig | \n", + ".GAP_PREDICTIONS | \n", + "FLAG_NEE_CUT_REF_orig_gfXG_ISFILLED | \n", + "NEE_CUT_REF_orig_gfXG | \n", + ".PREDICTIONS_FALLBACK | \n", + ".GAPFILLED_CUMULATIVE | \n", + ".PREDICTIONS | \n", + "
---|---|---|---|---|---|---|---|---|
TIMESTAMP_MIDDLE | \n", + "\n", + " | \n", + " | \n", + " | \n", + " | \n", + " | \n", + " | \n", + " | \n", + " |
2013-01-01 00:15:00 | \n", + "NaN | \n", + "NaN | \n", + "NaN | \n", + "2.0 | \n", + "1.157470 | \n", + "1.157470 | \n", + "1.157470 | \n", + "1.157470 | \n", + "
2013-01-01 00:45:00 | \n", + "0.789539 | \n", + "NaN | \n", + "0.789539 | \n", + "1.0 | \n", + "0.789539 | \n", + "1.157470 | \n", + "1.947009 | \n", + "0.789539 | \n", + "
2013-01-01 01:15:00 | \n", + "0.551183 | \n", + "NaN | \n", + "0.551183 | \n", + "1.0 | \n", + "0.551183 | \n", + "0.529607 | \n", + "2.498192 | \n", + "0.551183 | \n", + "
2013-01-01 01:45:00 | \n", + "0.525749 | \n", + "0.538 | \n", + "NaN | \n", + "0.0 | \n", + "0.538000 | \n", + "0.529607 | \n", + "3.036192 | \n", + "0.525749 | \n", + "
2013-01-01 02:15:00 | \n", + "-0.843809 | \n", + "NaN | \n", + "-0.843809 | \n", + "1.0 | \n", + "-0.843809 | \n", + "0.444580 | \n", + "2.192383 | \n", + "-0.843809 | \n", + "
... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "
2022-12-31 21:45:00 | \n", + "2.489827 | \n", + "NaN | \n", + "2.489827 | \n", + "1.0 | \n", + "2.489827 | \n", + "1.715796 | \n", + "-84087.062707 | \n", + "2.489827 | \n", + "
2022-12-31 22:15:00 | \n", + "3.406610 | \n", + "3.518 | \n", + "NaN | \n", + "0.0 | \n", + "3.518000 | \n", + "-0.235902 | \n", + "-84083.544707 | \n", + "3.406610 | \n", + "
2022-12-31 22:45:00 | \n", + "-1.447790 | \n", + "NaN | \n", + "-1.447790 | \n", + "1.0 | \n", + "-1.447790 | \n", + "-0.235902 | \n", + "-84084.992497 | \n", + "-1.447790 | \n", + "
2022-12-31 23:15:00 | \n", + "-1.790129 | \n", + "NaN | \n", + "-1.790129 | \n", + "1.0 | \n", + "-1.790129 | \n", + "-0.624014 | \n", + "-84086.782626 | \n", + "-1.790129 | \n", + "
2022-12-31 23:45:00 | \n", + "-0.509094 | \n", + "NaN | \n", + "-0.509094 | \n", + "1.0 | \n", + "-0.509094 | \n", + "-0.624014 | \n", + "-84087.291721 | \n", + "-0.509094 | \n", + "
175296 rows × 8 columns
\n", + "XGBRegressor(base_score=None, booster=None, callbacks=None,\n", + " colsample_bylevel=None, colsample_bynode=None,\n", + " colsample_bytree=None, device=None, early_stopping_rounds=10,\n", + " enable_categorical=False, eval_metric=None, feature_types=None,\n", + " gamma=None, grow_policy=None, importance_type=None,\n", + " interaction_constraints=None, learning_rate=0.3, max_bin=None,\n", + " max_cat_threshold=None, max_cat_to_onehot=None,\n", + " max_delta_step=None, max_depth=0, max_leaves=None,\n", + " min_child_weight=None, missing=nan, monotone_constraints=None,\n", + " multi_strategy=None, n_estimators=99, n_jobs=-1,\n", + " num_parallel_tree=None, random_state=42, ...)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
XGBRegressor(base_score=None, booster=None, callbacks=None,\n", + " colsample_bylevel=None, colsample_bynode=None,\n", + " colsample_bytree=None, device=None, early_stopping_rounds=10,\n", + " enable_categorical=False, eval_metric=None, feature_types=None,\n", + " gamma=None, grow_policy=None, importance_type=None,\n", + " interaction_constraints=None, learning_rate=0.3, max_bin=None,\n", + " max_cat_threshold=None, max_cat_to_onehot=None,\n", + " max_delta_step=None, max_depth=0, max_leaves=None,\n", + " min_child_weight=None, missing=nan, monotone_constraints=None,\n", + " multi_strategy=None, n_estimators=99, n_jobs=-1,\n", + " num_parallel_tree=None, random_state=42, ...)
\n", + " | .PREDICTIONS_FULLMODEL | \n", + "NEE_CUT_REF_orig | \n", + ".GAP_PREDICTIONS | \n", + "FLAG_NEE_CUT_REF_orig_gfXG_ISFILLED | \n", + "NEE_CUT_REF_orig_gfXG | \n", + ".PREDICTIONS_FALLBACK | \n", + ".GAPFILLED_CUMULATIVE | \n", + ".PREDICTIONS | \n", + "
---|---|---|---|---|---|---|---|---|
TIMESTAMP_MIDDLE | \n", + "\n", + " | \n", + " | \n", + " | \n", + " | \n", + " | \n", + " | \n", + " | \n", + " |
2013-01-01 00:15:00 | \n", + "NaN | \n", + "NaN | \n", + "NaN | \n", + "2.0 | \n", + "1.157470 | \n", + "1.157470 | \n", + "1.157470 | \n", + "1.157470 | \n", + "
2013-01-01 00:45:00 | \n", + "0.789539 | \n", + "NaN | \n", + "0.789539 | \n", + "1.0 | \n", + "0.789539 | \n", + "1.157470 | \n", + "1.947009 | \n", + "0.789539 | \n", + "
2013-01-01 01:15:00 | \n", + "0.551183 | \n", + "NaN | \n", + "0.551183 | \n", + "1.0 | \n", + "0.551183 | \n", + "0.529607 | \n", + "2.498192 | \n", + "0.551183 | \n", + "
2013-01-01 01:45:00 | \n", + "0.525749 | \n", + "0.538 | \n", + "NaN | \n", + "0.0 | \n", + "0.538000 | \n", + "0.529607 | \n", + "3.036192 | \n", + "0.525749 | \n", + "
2013-01-01 02:15:00 | \n", + "-0.843809 | \n", + "NaN | \n", + "-0.843809 | \n", + "1.0 | \n", + "-0.843809 | \n", + "0.444580 | \n", + "2.192383 | \n", + "-0.843809 | \n", + "
... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "
2022-12-31 21:45:00 | \n", + "2.489827 | \n", + "NaN | \n", + "2.489827 | \n", + "1.0 | \n", + "2.489827 | \n", + "1.715796 | \n", + "-84087.062707 | \n", + "2.489827 | \n", + "
2022-12-31 22:15:00 | \n", + "3.406610 | \n", + "3.518 | \n", + "NaN | \n", + "0.0 | \n", + "3.518000 | \n", + "-0.235902 | \n", + "-84083.544707 | \n", + "3.406610 | \n", + "
2022-12-31 22:45:00 | \n", + "-1.447790 | \n", + "NaN | \n", + "-1.447790 | \n", + "1.0 | \n", + "-1.447790 | \n", + "-0.235902 | \n", + "-84084.992497 | \n", + "-1.447790 | \n", + "
2022-12-31 23:15:00 | \n", + "-1.790129 | \n", + "NaN | \n", + "-1.790129 | \n", + "1.0 | \n", + "-1.790129 | \n", + "-0.624014 | \n", + "-84086.782626 | \n", + "-1.790129 | \n", + "
2022-12-31 23:45:00 | \n", + "-0.509094 | \n", + "NaN | \n", + "-0.509094 | \n", + "1.0 | \n", + "-0.509094 | \n", + "-0.624014 | \n", + "-84087.291721 | \n", + "-0.509094 | \n", + "
175296 rows × 8 columns
\n", + "\n", + " | NEE_CUT_REF_orig | \n", + "Tair_f | \n", + "VPD_f | \n", + "Rg_f | \n", + "
---|---|---|---|---|
count | \n", + "41284.000000 | \n", + "175296.000000 | \n", + "175296.000000 | \n", + "175296.000000 | \n", + "
mean | \n", + "-3.833522 | \n", + "4.712999 | \n", + "3.233176 | \n", + "152.671445 | \n", + "
std | \n", + "6.085449 | \n", + "7.548653 | \n", + "3.710180 | \n", + "247.531312 | \n", + "
min | \n", + "-38.653000 | \n", + "-23.096000 | \n", + "0.000000 | \n", + "0.000000 | \n", + "
25% | \n", + "-7.840000 | \n", + "-0.800000 | \n", + "0.661000 | \n", + "0.000000 | \n", + "
50% | \n", + "-3.827000 | \n", + "4.600000 | \n", + "1.991000 | \n", + "2.596000 | \n", + "
75% | \n", + "0.606250 | \n", + "10.067000 | \n", + "4.375000 | \n", + "225.677750 | \n", + "
max | \n", + "25.290000 | \n", + "28.713000 | \n", + "32.118000 | \n", + "1197.800000 | \n", + "
\n", + " | NEE_CUT_REF_orig | \n", + "
---|---|
STARTDATE | \n", + "2013-01-01 00:15 | \n", + "
ENDDATE | \n", + "2022-12-31 23:45 | \n", + "
PERIOD | \n", + "3651 days 23:30:00 | \n", + "
NOV | \n", + "41284 | \n", + "
MISSING | \n", + "134012 | \n", + "
MISSING_PERC | \n", + "76.448978 | \n", + "
MEAN | \n", + "-3.833522 | \n", + "
SD | \n", + "6.085449 | \n", + "
VAR | \n", + "37.032694 | \n", + "
SD/MEAN | \n", + "-1.58743 | \n", + "
SUM | \n", + "-158263.133 | \n", + "
MEDIAN | \n", + "-3.827 | \n", + "
MIN | \n", + "-38.653 | \n", + "
MAX | \n", + "25.29 | \n", + "
P01 | \n", + "-18.7924 | \n", + "
P05 | \n", + "-13.7397 | \n", + "
P25 | \n", + "-7.84 | \n", + "
P75 | \n", + "0.60625 | \n", + "
P95 | \n", + "5.48585 | \n", + "
P99 | \n", + "10.92289 | \n", + "
\n", + " | PERM_IMPORTANCE | \n", + "PERM_SD | \n", + "
---|---|---|
Rg_f | \n", + "1.457146 | \n", + "0.000222 | \n", + "
Tair_f | \n", + "0.848385 | \n", + "0.007304 | \n", + "
VPD_f | \n", + "0.438221 | \n", + "0.002936 | \n", + "
\n", + " | .PREDICTIONS_FULLMODEL | \n", + "NEE_CUT_REF_orig | \n", + ".GAP_PREDICTIONS | \n", + "FLAG_NEE_CUT_REF_orig_gfXG_ISFILLED | \n", + "NEE_CUT_REF_orig_gfXG | \n", + ".PREDICTIONS_FALLBACK | \n", + ".GAPFILLED_CUMULATIVE | \n", + ".PREDICTIONS | \n", + "
---|---|---|---|---|---|---|---|---|
TIMESTAMP_MIDDLE | \n", + "\n", + " | \n", + " | \n", + " | \n", + " | \n", + " | \n", + " | \n", + " | \n", + " |
2013-01-01 00:15:00 | \n", + "0.974075 | \n", + "NaN | \n", + "0.974075 | \n", + "1 | \n", + "0.974075 | \n", + "None | \n", + "0.974075 | \n", + "0.974075 | \n", + "
2013-01-01 00:45:00 | \n", + "0.974075 | \n", + "NaN | \n", + "0.974075 | \n", + "1 | \n", + "0.974075 | \n", + "None | \n", + "1.948151 | \n", + "0.974075 | \n", + "
2013-01-01 01:15:00 | \n", + "0.974075 | \n", + "NaN | \n", + "0.974075 | \n", + "1 | \n", + "0.974075 | \n", + "None | \n", + "2.922226 | \n", + "0.974075 | \n", + "
2013-01-01 01:45:00 | \n", + "0.974075 | \n", + "0.538 | \n", + "NaN | \n", + "0 | \n", + "0.538000 | \n", + "None | \n", + "3.460226 | \n", + "0.974075 | \n", + "
2013-01-01 02:15:00 | \n", + "1.435770 | \n", + "NaN | \n", + "1.435770 | \n", + "1 | \n", + "1.435770 | \n", + "None | \n", + "4.895996 | \n", + "1.435770 | \n", + "
... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "
2022-12-31 21:45:00 | \n", + "2.289599 | \n", + "NaN | \n", + "2.289599 | \n", + "1 | \n", + "2.289599 | \n", + "None | \n", + "-77640.183256 | \n", + "2.289599 | \n", + "
2022-12-31 22:15:00 | \n", + "2.825619 | \n", + "3.518 | \n", + "NaN | \n", + "0 | \n", + "3.518000 | \n", + "None | \n", + "-77636.665256 | \n", + "2.825619 | \n", + "
2022-12-31 22:45:00 | \n", + "3.202299 | \n", + "NaN | \n", + "3.202299 | \n", + "1 | \n", + "3.202299 | \n", + "None | \n", + "-77633.462957 | \n", + "3.202299 | \n", + "
2022-12-31 23:15:00 | \n", + "2.797740 | \n", + "NaN | \n", + "2.797740 | \n", + "1 | \n", + "2.797740 | \n", + "None | \n", + "-77630.665218 | \n", + "2.797740 | \n", + "
2022-12-31 23:45:00 | \n", + "2.811922 | \n", + "NaN | \n", + "2.811922 | \n", + "1 | \n", + "2.811922 | \n", + "None | \n", + "-77627.853296 | \n", + "2.811922 | \n", + "
175296 rows × 8 columns
\n", + "XGBRegressor(base_score=None, booster=None, callbacks=None,\n", + " colsample_bylevel=None, colsample_bynode=None,\n", + " colsample_bytree=None, device=None, early_stopping_rounds=None,\n", + " enable_categorical=False, eval_metric=None, feature_types=None,\n", + " gamma=None, grow_policy=None, importance_type=None,\n", + " interaction_constraints=None, learning_rate=None, max_bin=None,\n", + " max_cat_threshold=None, max_cat_to_onehot=None,\n", + " max_delta_step=None, max_depth=None, max_leaves=None,\n", + " min_child_weight=None, missing=nan, monotone_constraints=None,\n", + " multi_strategy=None, n_estimators=99, n_jobs=-1,\n", + " num_parallel_tree=None, random_state=42, ...)In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook.
XGBRegressor(base_score=None, booster=None, callbacks=None,\n", + " colsample_bylevel=None, colsample_bynode=None,\n", + " colsample_bytree=None, device=None, early_stopping_rounds=None,\n", + " enable_categorical=False, eval_metric=None, feature_types=None,\n", + " gamma=None, grow_policy=None, importance_type=None,\n", + " interaction_constraints=None, learning_rate=None, max_bin=None,\n", + " max_cat_threshold=None, max_cat_to_onehot=None,\n", + " max_delta_step=None, max_depth=None, max_leaves=None,\n", + " min_child_weight=None, missing=nan, monotone_constraints=None,\n", + " multi_strategy=None, n_estimators=99, n_jobs=-1,\n", + " num_parallel_tree=None, random_state=42, ...)
\n", + " | .PREDICTIONS_FULLMODEL | \n", + "NEE_CUT_REF_orig | \n", + ".GAP_PREDICTIONS | \n", + "FLAG_NEE_CUT_REF_orig_gfXG_ISFILLED | \n", + "NEE_CUT_REF_orig_gfXG | \n", + ".PREDICTIONS_FALLBACK | \n", + ".GAPFILLED_CUMULATIVE | \n", + ".PREDICTIONS | \n", + "
---|---|---|---|---|---|---|---|---|
TIMESTAMP_MIDDLE | \n", + "\n", + " | \n", + " | \n", + " | \n", + " | \n", + " | \n", + " | \n", + " | \n", + " |
2013-01-01 00:15:00 | \n", + "0.974075 | \n", + "NaN | \n", + "0.974075 | \n", + "1 | \n", + "0.974075 | \n", + "None | \n", + "0.974075 | \n", + "0.974075 | \n", + "
2013-01-01 00:45:00 | \n", + "0.974075 | \n", + "NaN | \n", + "0.974075 | \n", + "1 | \n", + "0.974075 | \n", + "None | \n", + "1.948151 | \n", + "0.974075 | \n", + "
2013-01-01 01:15:00 | \n", + "0.974075 | \n", + "NaN | \n", + "0.974075 | \n", + "1 | \n", + "0.974075 | \n", + "None | \n", + "2.922226 | \n", + "0.974075 | \n", + "
2013-01-01 01:45:00 | \n", + "0.974075 | \n", + "0.538 | \n", + "NaN | \n", + "0 | \n", + "0.538000 | \n", + "None | \n", + "3.460226 | \n", + "0.974075 | \n", + "
2013-01-01 02:15:00 | \n", + "1.435770 | \n", + "NaN | \n", + "1.435770 | \n", + "1 | \n", + "1.435770 | \n", + "None | \n", + "4.895996 | \n", + "1.435770 | \n", + "
... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "... | \n", + "
2022-12-31 21:45:00 | \n", + "2.289599 | \n", + "NaN | \n", + "2.289599 | \n", + "1 | \n", + "2.289599 | \n", + "None | \n", + "-77640.183256 | \n", + "2.289599 | \n", + "
2022-12-31 22:15:00 | \n", + "2.825619 | \n", + "3.518 | \n", + "NaN | \n", + "0 | \n", + "3.518000 | \n", + "None | \n", + "-77636.665256 | \n", + "2.825619 | \n", + "
2022-12-31 22:45:00 | \n", + "3.202299 | \n", + "NaN | \n", + "3.202299 | \n", + "1 | \n", + "3.202299 | \n", + "None | \n", + "-77633.462957 | \n", + "3.202299 | \n", + "
2022-12-31 23:15:00 | \n", + "2.797740 | \n", + "NaN | \n", + "2.797740 | \n", + "1 | \n", + "2.797740 | \n", + "None | \n", + "-77630.665218 | \n", + "2.797740 | \n", + "
2022-12-31 23:45:00 | \n", + "2.811922 | \n", + "NaN | \n", + "2.811922 | \n", + "1 | \n", + "2.811922 | \n", + "None | \n", + "-77627.853296 | \n", + "2.811922 | \n", + "
175296 rows × 8 columns
\n", + "