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Copyright 2020 for this Jupyter Notebook and YouTube Video by RESPEC, INC. All rights reserved.
-$\textbf{HSP}^{\textbf{2}}\ \text{and}\ \textbf{HSP2}\ $ Copyright 2020 by RESPEC INC. and released under the GNU AFFERO GENERAL PUBLIC LICENSE
- -This Notebook will compare the results of running HSPF and HSP$^2$ for the basic hydrology (PWATER, IWATER, and HYDR) to confirm the proper calculations of HSP$^2$
-Calleg is a real watershed and has
-This Notebook assumes HSPF has been run and the HBN data saved to an HDF5 file in the HSPF RUN directory.
- -from pandas import options, read_hdf, DataFrame
-from matplotlib import pyplot as plt
-
-# Set display options for convenience, does't change the data
-options.display.max_rows = 150
-options.display.max_columns = 20
-options.display.float_format = '{:.4f}'.format # display 4 digits after the decimal point
-
-%matplotlib inline
-
-from HSP2 import main, versions
-from HSP2tools import readWDM, readUCI
-versions(['matplotlib'])
-| - | version | -
|---|---|
| Python | -3.8.8 (default, Feb 24 2021, 13:46:16) \n[Clan... | -
| HSP2 | -1.0.0 | -
| numpy | -1.19.2 | -
| numba | -0.53.1 | -
| pandas | -1.1.5 | -
| matplotlib | -3.3.4 | -
| os | -macOS-10.15.7-x86_64-i386-64bit | -
| processor | -i386 | -
| Date/Time | -2021-03-31 12:15:44 | -
Convenient name strings to get to the data
- -wdmname = 'test.wdm'
-uciname = 'test10.uci'
-HBN = 'test10b_hspf.h5'
-hdfname = 'test10b_hsp2_dev.h5'
-%time
-readUCI(uciname, hdfname)
-CPU times: user 2 µs, sys: 1e+03 ns, total: 3 µs -Wall time: 5.01 µs --
%time
-readWDM(wdmname, hdfname)
-CPU times: user 2 µs, sys: 1 µs, total: 3 µs -Wall time: 3.81 µs -39 reading from wdm -Process record 27 -41 reading from wdm -42 reading from wdm -Process record 21 -46 reading from wdm -Problem? 5 -Process record 28 -Process record 29 -Problem? 29 -Process record 30 -Process record 31 -Process record 32 -Problem? 32 -Process record 33 -Process record 34 -113 reading from wdm -Process record 22 -119 reading from wdm -Problem? 7 -Process record 23 -121 reading from wdm -Process record 35 -Process record 36 -Process record 37 -Process record 38 -Process record 39 -Process record 40 -Process record 41 -Process record 42 -Process record 43 -122 reading from wdm -Process record 44 -Process record 45 -Process record 46 -Process record 47 -Process record 48 -Process record 49 -Process record 50 -Process record 51 -Process record 52 -123 reading from wdm -Process record 53 -Process record 54 -Process record 55 -Process record 56 -Process record 57 -Process record 58 -Process record 59 -Process record 60 -Process record 61 -124 reading from wdm -Process record 24 -125 reading from wdm -Process record 25 -126 reading from wdm -Process record 26 -127 reading from wdm -131 reading from wdm -Process record 62 -132 reading from wdm -Process record 63 -134 reading from wdm -135 reading from wdm -Process record 64 -136 reading from wdm -140 reading from wdm --
| - | Start | -Stop | -Freq | -Length | -TSTYPE | -TFILL | -STAID | -STNAM | -SCENARIO | -LOCATION | -
|---|---|---|---|---|---|---|---|---|---|---|
| TS039 | -1976-01-01 00:00:00 | -1977-01-01 00:00:00 | -1H | -8784 | -PREC | --999.0000 | -HOURLY PREC | -PRECIP TRAER IOWA | -TEST02 | -C:1 | -
| TS041 | -1976-01-01 00:00:00 | -1977-01-01 00:00:00 | -1D | -366 | -EVAP | --999.0000 | -DAILY EVAP | -FARMERS COOP WEATHER STN | -TEST01 | -M:1 | -
| TS042 | -1976-01-01 00:00:00 | -1977-01-01 00:00:00 | -1D | -366 | -WIND | --999.0000 | -DAILY WIND | -FARMERS COOP WEATHER STN | -TEST01 | -M:1 | -
| TS046 | -1976-01-01 00:00:00 | -1977-01-01 00:00:00 | -2H | -4392 | -SOLR | --999.0000 | -2 HOUR RAD | -FARMERS WEATHER STN | -TEST02 | -C:1 | -
| TS113 | -1976-01-01 00:00:00 | -1977-01-01 00:00:00 | -1D | -366 | -FLOW | --999.0000 | -DAILY FLOW | -IOWA RIVER MARSHALLTOWN | -TEST01 | -M:1 | -
| TS119 | -1976-01-01 00:00:00 | -1977-01-01 00:00:00 | -1D | -366 | -FLOW | --999.0000 | -DAILY FLOW | -IOWA RIVER MARENGO | -TEST01 | -M:1 | -
| TS121 | -1976-01-01 00:00:00 | -1977-01-01 00:00:00 | -2H | -4392 | -ATMP | --999.0000 | -2 HOUR AIR TEMP | -CEDAR RAPIDS IOWA | -TEST02 | -C:1 | -
| TS122 | -1976-01-01 00:00:00 | -1977-01-01 00:00:00 | -2H | -4392 | -ATMP | --999.0000 | -2 HOUR AIR TEMP | -IOWA FALLS IOWA | -TEST02 | -C:1 | -
| TS123 | -1976-01-01 00:00:00 | -1977-01-01 00:00:00 | -2H | -4392 | -ATMP | --999.0000 | -2 HOUR AIR TEMP | -MARSHALLTOWN IOWA | -TEST02 | -C:1 | -
| TS124 | -1976-01-01 00:00:00 | -1977-01-01 00:00:00 | -1D | -366 | -DEWP | --999.0000 | -DAILY DEW PT | -CEDAR RAPIDS IOWA | -TEST01 | -M:1 | -
| TS125 | -1976-01-01 00:00:00 | -1977-01-01 00:00:00 | -1D | -366 | -DEWP | --999.0000 | -DAILY DEW PT | -IOWA FALLS IOWA | -TEST01 | -M:1 | -
| TS126 | -1976-01-01 00:00:00 | -1977-01-01 00:00:00 | -1D | -366 | -DEWP | --999.0000 | -DAILY DEW PT | -MARSHALLTOWN IOWA | -TEST01 | -M:1 | -
| TS127 | -1976-01-01 00:00:00 | -1977-01-01 00:00:00 | -1D | -366 | -SEDM | --999.0000 | -SEDIMENT CONC | -IOWA RIVER MARENGO | -TEST01 | -M:1 | -
| TS131 | -1976-01-01 00:00:00 | -1977-01-01 00:00:00 | -1H | -8784 | -PREC | --999.0000 | -HOURLY PREC | -PRECIP IOWA FALLS | -TEST02 | -C:1 | -
| TS132 | -1976-01-01 00:00:00 | -1977-01-01 00:00:00 | -1H | -8784 | -PREC | --999.0000 | -HOURLY PREC | -PRECIP SHEFFIELD | -TEST02 | -C:1 | -
| TS134 | -1976-01-01 00:00:00 | -1977-01-01 00:00:00 | -1D | -366 | -WTMP | --999.0000 | -WATER TEMP | -IOWA RIVER (ESTIMATED) | -TEST01 | -M:1 | -
| TS135 | -1976-01-01 00:00:00 | -1977-01-01 00:00:00 | -1D | -366 | -CLDC | --999.0000 | -CLOUD COVER | -WATERLOO (TENTHS) | -TEST03 | -C:1 | -
| TS136 | -1976-01-01 00:00:00 | -1977-01-01 00:00:00 | -1D | -366 | -FLOW | --999.0000 | -DAILY FLOW | -IOWA RIVER ROWAN | -TEST01 | -M:1 | -
| TS140 | -1976-01-01 00:00:00 | -1977-01-01 00:00:00 | -1D | -366 | -CLND | --999.0000 | -COLIND | -COLUMN INDICATOR MEIER POND SUMMER-WINTER OUTLET | -TEST03 | -C:1 | -
Using profiler
- -%%prun -l 60 -T NumbaProfile.txt -q
-main(hdfname, saveall=True)
-2021-03-31 12:20:18.12 Processing started for file test10b_hsp2_dev.h5; saveall=True -2021-03-31 12:20:23.06 Simulation Start: 1976-01-01 00:00:00, Stop: 1977-01-01 00:00:00 -2021-03-31 12:20:23.06 PERLND P001 DELT(minutes): 60 -2021-03-31 12:20:25.85 SNOW -2021-03-31 12:20:28.07 PWATER -2021-03-31 12:20:28.16 PSTEMP -2021-03-31 12:20:28.22 PWTGAS -2021-03-31 12:20:28.31 RCHRES R001 DELT(minutes): 60 -2021-03-31 12:20:28.45 HYDR -2021-03-31 12:20:28.81 ADCALC -2021-03-31 12:20:29.01 CONS -2021-03-31 12:20:29.12 HTRCH -2021-03-31 12:20:29.32 SEDTRN -2021-03-31 12:20:29.73 GQUAL -2021-03-31 12:20:32.02 RCHRES R002 DELT(minutes): 60 -2021-03-31 12:20:32.22 HYDR -2021-03-31 12:20:32.32 ADCALC -2021-03-31 12:20:32.42 CONS -2021-03-31 12:20:32.47 HTRCH -2021-03-31 12:20:32.59 SEDTRN -2021-03-31 12:20:32.90 GQUAL -2021-03-31 12:20:34.15 RCHRES R003 DELT(minutes): 60 -2021-03-31 12:20:34.34 HYDR -2021-03-31 12:20:34.40 ADCALC -2021-03-31 12:20:34.50 CONS -2021-03-31 12:20:34.56 HTRCH -2021-03-31 12:20:34.65 SEDTRN -2021-03-31 12:20:34.91 GQUAL -2021-03-31 12:20:35.66 RCHRES R004 DELT(minutes): 60 -2021-03-31 12:20:35.97 HYDR -2021-03-31 12:20:36.04 ADCALC -2021-03-31 12:20:36.14 CONS -2021-03-31 12:20:36.19 HTRCH -2021-03-31 12:20:36.32 SEDTRN -2021-03-31 12:20:36.93 GQUAL -2021-03-31 12:20:38.33 IMPLND I001 DELT(minutes): 60 -2021-03-31 12:20:38.43 SNOW -2021-03-31 12:20:38.56 IWATER -2021-03-31 12:20:38.60 SOLIDS -2021-03-31 12:20:38.64 IWTGAS -2021-03-31 12:20:38.69 IQUAL -2021-03-31 12:20:38.76 RCHRES R005 DELT(minutes): 60 -2021-03-31 12:20:38.99 HYDR -2021-03-31 12:20:39.05 ADCALC -2021-03-31 12:20:39.21 CONS -2021-03-31 12:20:39.29 HTRCH -2021-03-31 12:20:39.42 SEDTRN -2021-03-31 12:20:39.70 GQUAL -2021-03-31 12:20:41.23 Done; Run time is about 00:23.1 (mm:ss) - - - version -Python 3.8.8 (default, Feb 24 2021, 13:46:16) \n[Clan... -HSP2 1.0.0 -numpy 1.19.2 -numba 0.53.1 -pandas 1.1.5 -jupyterlab 2.2.6 -notebook 6.3.0 -os macOS-10.15.7-x86_64-i386-64bit -processor i386 -Date/Time 2021-03-31 12:20:41 - -*** Profile printout saved to text file 'NumbaProfile.txt'. --
with open('NumbaProfile.txt', 'r') as f:
- for line in f:
- total = float(line.split()[7])
- print(line)
- f.readline()
- f.readline()
- f.readline()
- f.readline()
- print(f.readline().rstrip())
- break
- sum = 0.0
- for line in f:
- sum += float(line.split()[1])
- print(line.rstrip())
-
- # Pareto rule, look for calls cumsum to 80% time, ignore the rest
- if sum >= 0.8 * total:
- break
-print(f'Cum Sum {100.0 * sum/total:.2f}%')
- 21103986 function calls (20491407 primitive calls) in 23.113 seconds
-
- ncalls tottime percall cumtime percall filename:lineno(function)
- 5 2.856 0.571 6.871 1.374 GQUAL.py:18(gqual)
-31593/31588 1.599 0.000 2.075 0.000 ffi.py:149(__call__)
- 44946 1.092 0.000 1.092 0.000 {method '_g_getattr' of 'tables.hdf5extension.AttributeSet' objects}
- 5 1.018 0.204 1.673 0.335 SEDTRN.py:13(sedtrn)
- 258685 0.787 0.000 2.727 0.000 typeddict.py:147(__getitem__)
- 18655 0.543 0.000 0.543 0.000 {method '_g_get_objinfo' of 'tables.hdf5extension.Group' objects}
- 5 0.441 0.088 0.566 0.113 HTRCH.py:39(htrch)
- 4700 0.431 0.000 0.501 0.000 {method '_open_array' of 'tables.hdf5extension.Array' objects}
- 23258 0.422 0.000 0.461 0.000 GQUAL.py:1149(adsdes)
- 23258 0.411 0.000 0.490 0.000 GQUAL.py:1266(ddecay)
- 418644 0.364 0.000 0.364 0.000 GQUAL.py:1329(light_factor)
-2346955/2346952 0.334 0.000 0.481 0.000 {built-in method builtins.isinstance}
- 4869 0.328 0.000 0.328 0.000 {method '_g_get_lchild_attr' of 'tables.hdf5extension.Group' objects}
- 258685 0.279 0.000 0.355 0.000 typeddict.py:37(_getitem)
- 284255 0.277 0.000 1.073 0.000 dispatcher.py:677(typeof_pyval)
- 386955 0.268 0.000 0.268 0.000 {built-in method numpy.zeros}
- 219600 0.268 0.000 0.268 0.000 ADCALC.py:131(advect)
- 5496 0.233 0.000 0.349 0.000 SEDTRN.py:518(colby)
-138990/138149 0.211 0.000 0.212 0.000 {built-in method numpy.array}
- 41217 0.208 0.000 0.208 0.000 {method 'reduce' of 'numpy.ufunc' objects}
- 285626 0.200 0.000 0.803 0.000 typeof.py:25(typeof)
- 131760 0.184 0.000 0.276 0.000 GQUAL.py:1205(advqal)
- 5 0.180 0.036 0.230 0.046 CONS.py:133(loopsub)
- 50040 0.180 0.000 1.940 0.000 attributeset.py:295(__getattr__)
-285755/285626 0.161 0.000 0.483 0.000 functools.py:870(wrapper)
-208213/36911 0.154 0.000 0.231 0.000 ir.py:313(_rec_list_vars)
- 2 0.151 0.076 0.931 0.465 SNOW.py:88(_snow_)
- 285755 0.147 0.000 0.254 0.000 functools.py:814(dispatch)
- 5 0.136 0.027 0.136 0.027 ADCALC.py:86(adcalc_)
-752418/703058 0.120 0.000 4.458 0.000 {built-in method builtins.getattr}
- 276 0.116 0.000 0.116 0.000 {method '_read_records' of 'tables.tableextension.Table' objects}
-9821/4549 0.105 0.000 0.628 0.000 base.py:293(__new__)
- 8992 0.103 0.000 0.106 0.000 SEDTRN.py:745(toffaleti)
- 308147 0.091 0.000 0.092 0.000 serialize.py:140(_numba_unpickle)
- 6887 0.090 0.000 2.231 0.000 attributeset.py:205(__init__)
- 296260 0.090 0.000 0.116 0.000 weakref.py:382(__getitem__)
- 616270 0.086 0.000 0.086 0.000 typeddict.py:131(_numba_type_)
-137875/73461 0.086 0.000 0.269 0.000 {method 'format' of 'str' objects}
- 67021 0.083 0.000 0.425 0.000 file.py:391(cache_node)
- 1175 0.079 0.000 0.079 0.000 {method '_g_read_slice' of 'tables.hdf5extension.Array' objects}
- 67058 0.077 0.000 0.169 0.000 file.py:378(register_node)
- 38175 0.077 0.000 0.318 0.000 fromnumeric.py:70(_wrapreduction)
- 145090 0.077 0.000 0.216 0.000 event.py:227(notify)
- 898103 0.077 0.000 0.077 0.000 {method 'append' of 'list' objects}
- 352943 0.077 0.000 0.107 0.000 generic.py:10(_check)
- 23828 0.077 0.000 0.851 0.000 typeddict.py:175(__contains__)
- 241 0.076 0.000 0.076 0.000 {method '_g_flush' of 'tables.hdf5extension.Leaf' objects}
- 1750 0.074 0.000 0.074 0.000 {method '_g_get_gchild_attr' of 'tables.hdf5extension.Group' objects}
- 67178 0.072 0.000 0.078 0.000 GQUAL.py:1122(adecay)
- 313588 0.070 0.000 0.070 0.000 {built-in method __new__ of type object at 0x103f9c808}
- 82156 0.069 0.000 0.491 0.000 attributeset.py:61(issysattrname)
- 380 0.068 0.000 0.069 0.000 {method '_create_carray' of 'tables.hdf5extension.Array' objects}
- 6583 0.066 0.000 0.067 0.000 controlflow.py:381(_dfs)
- 1436 0.062 0.000 0.075 0.000 ir.py:575(__repr__)
-60165/7218 0.059 0.000 4.672 0.001 file.py:404(get_node)
- 94125 0.059 0.000 0.064 0.000 group.py:838(__setattr__)
- 23828 0.059 0.000 0.241 0.000 typeddict.py:169(__len__)
- 46516 0.057 0.000 0.061 0.000 HTRCH.py:374(vapor)
-56876/53145 0.055 0.000 0.442 0.000 {built-in method numpy.core._multiarray_umath.implement_array_function}
- 66288 0.053 0.000 0.278 0.000 event.py:193(broadcast)
-Cum Sum 70.41%
-
-Normal run
- -main(hdfname, saveall=True)
-2020-12-10 16:53:12.83 Processing started for file hsp2.h5; saveall=True -2020-12-10 16:53:22.62 Simulation Start: 1976-01-01 00:00:00, Stop: 1977-01-01 00:00:00 -2020-12-10 16:53:22.62 PERLND P001 DELT(minutes): 60 -2020-12-10 16:53:28.60 SNOW -2020-12-10 16:53:32.38 PWATER -2020-12-10 16:53:32.72 PSTEMP --
---------------------------------------------------------------------------- -KeyError Traceback (most recent call last) -<ipython-input-4-ff67a3b4c34f> in <module> -----> 1 main(hdfname, saveall=True) - -c:\Users\sskripnik\Documents\GitHub\HSPsquared\HSP2\main.py in main(hdfname, saveall) - 71 - 72 ############ calls activity function like snow() ############## ----> 73 errors, errmessages = function(store, siminfo, ui, ts) - 74 ############################################################### - 75 - -c:\Users\sskripnik\Documents\GitHub\HSPsquared\HSP2\PSTEMP.py in pstemp(store, siminfo, uci, ts) - 30 - 31 ui = make_numba_dict(uci) ----> 32 TSOPFG = ui['TSOPFG'] - 33 AIRTFG = int(ui['AIRTFG']) - 34 - -~\Anaconda3\envs\hsp2_py37\lib\site-packages\numba\typed\typeddict.py in __getitem__(self, key) - 146 raise KeyError(key) - 147 else: ---> 148 return _getitem(self, key) - 149 - 150 def __setitem__(self, key, value): - -~\Anaconda3\envs\hsp2_py37\lib\site-packages\numba\dictobject.py in impl() - 736 ix, val = _dict_lookup(d, castedkey, hash(castedkey)) - 737 if ix == DKIX.EMPTY: ---> 738 raise KeyError() - 739 elif ix < DKIX.EMPTY: - 740 raise AssertionError("internal dict error during lookup") - -KeyError:-
-Find the higest frequency data available.
- -summary = read_hdf(HBN, 'SUMMARY')
-summary.Frequency.unique()
-array(['Monthly', 'Yearly'], dtype=object)-
So the best available is monthly data.
- -def hsp2key(hspfkey):
- op, activity, segment, _ = hspfkey.split('_')
- return f'RESULTS/{op}_{op[0]}{segment:0>3s}/{activity}'
-def monthlyoutflow(keys, flowname):
- data = DataFrame()
- for key in keys.index:
- hsp2 = read_hdf(hdfname, hsp2key(key))[flowname].resample('M').sum().to_numpy()
- hspf = read_hdf(HBN, key)[flowname].to_numpy()
-
- hsp2sum = hsp2.sum()
- hspfsum = hspf.sum()
-
- segment = key.split('_')[2]
-
- data.loc[segment, 'HSP2 SUM'] = hsp2.sum()
- data.loc[segment, 'HSPF SUM'] = hspf.sum()
- data.loc[segment, 'Percent diff'] = 100.0 * (hspfsum - hsp2sum)/hspfsum
- data.loc[segment, 'abs(Percent diff)'] = 100.0 * abs(hspfsum - hsp2sum)/hspfsum
-
- return data.sort_values(by=['abs(Percent diff)'])
-def plot(operation, ils, activity, name, how='sum'):
- hspf = f'{operation}_{activity}_{ils:0>3s}_4'
- tshspf = read_hdf(HBN, hspf)[name]
-
- hsp2 = f'RESULTS/{operation}_{operation[0]}{ils:0>3s}/{activity}'
- if how == 'sum':
- tshsp2 = read_hdf(hdfname, hsp2)[name].resample('M').sum().shift(1,'D')
- elif how == 'last':
- tshsp2 = read_hdf(hdfname, hsp2)[name].resample('M').last().shift(1,'D')
-
- plt.figure(figsize=(10,8))
- plt.plot(tshspf.index, tshspf, label='HSPF', color='r')
- plt.plot(tshsp2.index, tshsp2, label='HSP2', color='b')
- plt.legend()
- plt.title(f'{operation} {operation[0]}{ils:0>3s}, {activity} {name}')
-def scatter(operation, ils, activity, name, how='sum'):
- hspf = f'{operation}_{activity}_{ils:0>3s}_4'
- tshspf = read_hdf(HBN, hspf)[name]
-
- hsp2 = f'RESULTS/{operation}_{operation[0]}{ils:0>3s}/{activity}'
- if how == 'sum':
- tshsp2 = read_hdf(hdfname, hsp2)[name].resample('M').sum().shift(1,'D')
- elif how == 'last':
- tshsp2 = read_hdf(hdfname, hsp2)[name].resample('M').last().shift(1,'D')
-
- plt.scatter(tshspf, tshsp2)
-implndkeys = summary[(summary.Frequency=='Monthly') & (summary.Operation=='IMPLND')]
-implndkeys
-| - | Operation | -Activity | -segment | -Frequency | -Shape | -Start | -Stop | -
|---|---|---|---|---|---|---|---|
| IMPLND_IWATER_011_4 | -IMPLND | -IWATER | -11 | -Monthly | -(108, 6) | -1993-11-01 | -2002-10-01 | -
| IMPLND_IWATER_021_4 | -IMPLND | -IWATER | -21 | -Monthly | -(108, 6) | -1993-11-01 | -2002-10-01 | -
| IMPLND_IWATER_041_4 | -IMPLND | -IWATER | -41 | -Monthly | -(108, 6) | -1993-11-01 | -2002-10-01 | -
| IMPLND_IWATER_051_4 | -IMPLND | -IWATER | -51 | -Monthly | -(108, 6) | -1993-11-01 | -2002-10-01 | -
| IMPLND_IWATER_061_4 | -IMPLND | -IWATER | -61 | -Monthly | -(108, 6) | -1993-11-01 | -2002-10-01 | -
| IMPLND_IWATER_071_4 | -IMPLND | -IWATER | -71 | -Monthly | -(108, 6) | -1993-11-01 | -2002-10-01 | -
| IMPLND_IWATER_081_4 | -IMPLND | -IWATER | -81 | -Monthly | -(108, 6) | -1993-11-01 | -2002-10-01 | -
| IMPLND_IWATER_101_4 | -IMPLND | -IWATER | -101 | -Monthly | -(108, 6) | -1993-11-01 | -2002-10-01 | -
| IMPLND_IWATER_111_4 | -IMPLND | -IWATER | -111 | -Monthly | -(108, 6) | -1993-11-01 | -2002-10-01 | -
| IMPLND_IWATER_121_4 | -IMPLND | -IWATER | -121 | -Monthly | -(108, 6) | -1993-11-01 | -2002-10-01 | -
| IMPLND_IWATER_131_4 | -IMPLND | -IWATER | -131 | -Monthly | -(108, 6) | -1993-11-01 | -2002-10-01 | -
| IMPLND_IWATER_141_4 | -IMPLND | -IWATER | -141 | -Monthly | -(108, 6) | -1993-11-01 | -2002-10-01 | -
| IMPLND_IWATER_151_4 | -IMPLND | -IWATER | -151 | -Monthly | -(108, 6) | -1993-11-01 | -2002-10-01 | -
| IMPLND_IWATER_161_4 | -IMPLND | -IWATER | -161 | -Monthly | -(108, 6) | -1993-11-01 | -2002-10-01 | -
| IMPLND_IWATER_171_4 | -IMPLND | -IWATER | -171 | -Monthly | -(108, 6) | -1993-11-01 | -2002-10-01 | -
| IMPLND_IWATER_181_4 | -IMPLND | -IWATER | -181 | -Monthly | -(108, 6) | -1993-11-01 | -2002-10-01 | -
| IMPLND_IWATER_191_4 | -IMPLND | -IWATER | -191 | -Monthly | -(108, 6) | -1993-11-01 | -2002-10-01 | -
| IMPLND_IWATER_201_4 | -IMPLND | -IWATER | -201 | -Monthly | -(108, 6) | -1993-11-01 | -2002-10-01 | -
| IMPLND_IWATER_211_4 | -IMPLND | -IWATER | -211 | -Monthly | -(108, 6) | -1993-11-01 | -2002-10-01 | -
| IMPLND_IWATER_221_4 | -IMPLND | -IWATER | -221 | -Monthly | -(108, 6) | -1993-11-01 | -2002-10-01 | -
| IMPLND_IWATER_231_4 | -IMPLND | -IWATER | -231 | -Monthly | -(108, 6) | -1993-11-01 | -2002-10-01 | -
| IMPLND_IWATER_241_4 | -IMPLND | -IWATER | -241 | -Monthly | -(108, 6) | -1993-11-01 | -2002-10-01 | -
| IMPLND_IWATER_251_4 | -IMPLND | -IWATER | -251 | -Monthly | -(108, 6) | -1993-11-01 | -2002-10-01 | -
| IMPLND_IWATER_271_4 | -IMPLND | -IWATER | -271 | -Monthly | -(108, 6) | -1993-11-01 | -2002-10-01 | -
| IMPLND_IWATER_281_4 | -IMPLND | -IWATER | -281 | -Monthly | -(108, 6) | -1993-11-01 | -2002-10-01 | -
| IMPLND_IWATER_291_4 | -IMPLND | -IWATER | -291 | -Monthly | -(108, 6) | -1993-11-01 | -2002-10-01 | -
| IMPLND_IWATER_301_4 | -IMPLND | -IWATER | -301 | -Monthly | -(108, 6) | -1993-11-01 | -2002-10-01 | -
delta = monthlyoutflow(implndkeys, 'SURO')
-delta
-| - | HSP2 SUM | -HSPF SUM | -Percent diff | -abs(Percent diff) | -
|---|---|---|---|---|
| 291 | -117.5699 | -117.5699 | --0.0000 | -0.0000 | -
| 281 | -137.7904 | -137.7904 | -0.0000 | -0.0000 | -
| 101 | -144.1288 | -144.1288 | --0.0000 | -0.0000 | -
| 021 | -122.5966 | -122.5966 | -0.0000 | -0.0000 | -
| 051 | -120.2708 | -120.2708 | -0.0000 | -0.0000 | -
| 081 | -118.7938 | -118.7938 | --0.0000 | -0.0000 | -
| 041 | -141.2890 | -141.2890 | -0.0000 | -0.0000 | -
| 271 | -136.4228 | -136.4228 | -0.0000 | -0.0000 | -
| 251 | -116.6337 | -116.6337 | -0.0000 | -0.0000 | -
| 201 | -172.5608 | -172.5608 | --0.0000 | -0.0000 | -
| 191 | -125.6937 | -125.6937 | -0.0000 | -0.0000 | -
| 221 | -126.6460 | -126.6460 | -0.0000 | -0.0000 | -
| 071 | -132.6849 | -132.6849 | -0.0000 | -0.0000 | -
| 111 | -126.0203 | -126.0203 | -0.0000 | -0.0000 | -
| 141 | -116.0248 | -116.0249 | -0.0000 | -0.0000 | -
| 131 | -126.2947 | -126.2947 | -0.0000 | -0.0000 | -
| 121 | -126.2947 | -126.2947 | -0.0000 | -0.0000 | -
| 161 | -131.2695 | -131.2695 | -0.0000 | -0.0000 | -
| 211 | -125.3008 | -125.3008 | --0.0000 | -0.0000 | -
| 011 | -131.6821 | -131.6821 | -0.0000 | -0.0000 | -
| 151 | -133.6036 | -133.6036 | -0.0000 | -0.0000 | -
| 061 | -133.6036 | -133.6036 | -0.0000 | -0.0000 | -
| 301 | -119.8081 | -119.8081 | --0.0000 | -0.0000 | -
| 171 | -115.9610 | -115.9610 | -0.0000 | -0.0000 | -
| 181 | -115.9610 | -115.9610 | -0.0000 | -0.0000 | -
| 241 | -120.2066 | -120.2066 | -0.0000 | -0.0000 | -
| 231 | -135.5890 | -135.5890 | -0.0000 | -0.0000 | -
Look at the statistics for the percent difference column
- -delta.describe()
-| - | HSP2 SUM | -HSPF SUM | -Percent diff | -abs(Percent diff) | -
|---|---|---|---|---|
| count | -27.0000 | -27.0000 | -27.0000 | -27.0000 | -
| mean | -128.5445 | -128.5445 | -0.0000 | -0.0000 | -
| std | -12.0012 | -12.0012 | -0.0000 | -0.0000 | -
| min | -115.9610 | -115.9610 | --0.0000 | -0.0000 | -
| 25% | -120.0074 | -120.0074 | -0.0000 | -0.0000 | -
| 50% | -126.2947 | -126.2947 | -0.0000 | -0.0000 | -
| 75% | -133.6036 | -133.6036 | -0.0000 | -0.0000 | -
| max | -172.5608 | -172.5608 | -0.0000 | -0.0000 | -
delta['Percent diff'].hist()
-<AxesSubplot:>-
-ils = delta.index[-1]
-print('WORST IMPLND SEGMENT IS', ils)
-WORST IMPLND SEGMENT IS 231 --
plot('IMPLND', ils, 'IWATER', 'SURO', 'sum')
-
-scatter('IMPLND', ils, 'IWATER', 'SURO', 'sum')
-
-plot('IMPLND', ils, 'IWATER', 'IMPEV', 'sum')
-
-scatter('IMPLND', ils, 'IWATER', 'IMPEV', 'sum')
-
-plot('IMPLND', ils, 'IWATER', 'PET', 'sum')
-
-scatter('IMPLND', ils, 'IWATER', 'PET', 'sum')
-
-plot('IMPLND', ils, 'IWATER', 'RETS', 'last')
-
-scatter('IMPLND', ils, 'IWATER', 'RETS', 'last')
-
-plot('IMPLND', ils, 'IWATER', 'SUPY', 'sum')
-
-scatter('IMPLND', ils, 'IWATER', 'SUPY', 'sum')
-
-plot('IMPLND', ils, 'IWATER', 'SURS', 'last')
-
-scatter('IMPLND', ils, 'IWATER', 'SURS', 'last')
-
-
-perlndkeys = summary[(summary.Frequency=='Monthly') & (summary.Operation=='PERLND')]
-perlndkeys[0:10]
-| - | Operation | -Activity | -segment | -Frequency | -Shape | -Start | -Stop | -
|---|---|---|---|---|---|---|---|
| PERLND_PWATER_011_4 | -PERLND | -PWATER | -11 | -Monthly | -(108, 27) | -1993-11-01 | -2002-10-01 | -
| PERLND_PWATER_012_4 | -PERLND | -PWATER | -12 | -Monthly | -(108, 32) | -1993-11-01 | -2002-10-01 | -
| PERLND_PWATER_013_4 | -PERLND | -PWATER | -13 | -Monthly | -(108, 32) | -1993-11-01 | -2002-10-01 | -
| PERLND_PWATER_014_4 | -PERLND | -PWATER | -14 | -Monthly | -(108, 32) | -1993-11-01 | -2002-10-01 | -
| PERLND_PWATER_015_4 | -PERLND | -PWATER | -15 | -Monthly | -(108, 32) | -1993-11-01 | -2002-10-01 | -
| PERLND_PWATER_021_4 | -PERLND | -PWATER | -21 | -Monthly | -(108, 27) | -1993-11-01 | -2002-10-01 | -
| PERLND_PWATER_022_4 | -PERLND | -PWATER | -22 | -Monthly | -(108, 32) | -1993-11-01 | -2002-10-01 | -
| PERLND_PWATER_023_4 | -PERLND | -PWATER | -23 | -Monthly | -(108, 32) | -1993-11-01 | -2002-10-01 | -
| PERLND_PWATER_024_4 | -PERLND | -PWATER | -24 | -Monthly | -(108, 32) | -1993-11-01 | -2002-10-01 | -
| PERLND_PWATER_025_4 | -PERLND | -PWATER | -25 | -Monthly | -(108, 32) | -1993-11-01 | -2002-10-01 | -
delta = monthlyoutflow(perlndkeys, 'PERO')
-delta
-| - | HSP2 SUM | -HSPF SUM | -Percent diff | -abs(Percent diff) | -
|---|---|---|---|---|
| 055 | -64.7859 | -64.7859 | --0.0000 | -0.0000 | -
| 226 | -29.4270 | -29.4270 | --0.0000 | -0.0000 | -
| 222 | -45.9145 | -45.9145 | --0.0000 | -0.0000 | -
| 124 | -56.8129 | -56.8129 | --0.0000 | -0.0000 | -
| 235 | -85.6543 | -85.6543 | --0.0000 | -0.0000 | -
| 071 | -13.8709 | -13.8709 | --0.0000 | -0.0000 | -
| 275 | -44.8519 | -44.8519 | -0.0000 | -0.0000 | -
| 135 | -49.4472 | -49.4472 | --0.0000 | -0.0000 | -
| 023 | -57.9035 | -57.9035 | --0.0000 | -0.0000 | -
| 201 | -10.9715 | -10.9715 | --0.0000 | -0.0000 | -
| 082 | -45.8386 | -45.8386 | -0.0000 | -0.0000 | -
| 285 | -97.2315 | -97.2314 | --0.0000 | -0.0000 | -
| 304 | -104.4457 | -104.4457 | -0.0000 | -0.0000 | -
| 232 | -54.5515 | -54.5515 | -0.0000 | -0.0000 | -
| 256 | -21.2304 | -21.2304 | -0.0000 | -0.0000 | -
| 051 | -10.1520 | -10.1520 | -0.0000 | -0.0000 | -
| 175 | -56.6028 | -56.6028 | --0.0000 | -0.0000 | -
| 295 | -121.6003 | -121.6003 | -0.0000 | -0.0000 | -
| 013 | -55.6965 | -55.6965 | -0.0000 | -0.0000 | -
| 254 | -46.5186 | -46.5186 | --0.0000 | -0.0000 | -
| 225 | -70.3941 | -70.3940 | --0.0000 | -0.0000 | -
| 072 | -54.2092 | -54.2092 | -0.0000 | -0.0000 | -
| 102 | -37.5410 | -37.5410 | --0.0000 | -0.0000 | -
| 291 | -31.4601 | -31.4601 | --0.0000 | -0.0000 | -
| 073 | -65.6017 | -65.6017 | --0.0000 | -0.0000 | -
| 184 | -52.1066 | -52.1066 | --0.0000 | -0.0000 | -
| 281 | -12.5471 | -12.5471 | --0.0000 | -0.0000 | -
| 075 | -73.6297 | -73.6297 | -0.0000 | -0.0000 | -
| 206 | -28.4453 | -28.4453 | --0.0000 | -0.0000 | -
| 164 | -49.3031 | -49.3031 | -0.0000 | -0.0000 | -
| 133 | -43.1818 | -43.1818 | --0.0000 | -0.0000 | -
| 255 | -48.7199 | -48.7198 | --0.0000 | -0.0000 | -
| 074 | -70.8455 | -70.8455 | -0.0000 | -0.0000 | -
| 221 | -10.2781 | -10.2781 | --0.0000 | -0.0000 | -
| 292 | -88.3961 | -88.3961 | --0.0000 | -0.0000 | -
| 121 | -7.9901 | -7.9901 | -0.0000 | -0.0000 | -
| 062 | -48.5426 | -48.5426 | --0.0000 | -0.0000 | -
| 305 | -108.6897 | -108.6897 | --0.0000 | -0.0000 | -
| 022 | -46.3543 | -46.3543 | --0.0000 | -0.0000 | -
| 052 | -46.1781 | -46.1781 | --0.0000 | -0.0000 | -
| 031 | -18.2778 | -18.2778 | -0.0000 | -0.0000 | -
| 081 | -10.2268 | -10.2268 | -0.0000 | -0.0000 | -
| 043 | -63.0228 | -63.0228 | --0.0000 | -0.0000 | -
| 293 | -108.5104 | -108.5104 | --0.0000 | -0.0000 | -
| 181 | -6.0741 | -6.0741 | -0.0000 | -0.0000 | -
| 174 | -53.8139 | -53.8139 | --0.0000 | -0.0000 | -
| 294 | -117.4441 | -117.4440 | --0.0000 | -0.0000 | -
| 042 | -54.4023 | -54.4023 | --0.0000 | -0.0000 | -
| 191 | -12.4472 | -12.4472 | -0.0000 | -0.0000 | -
| 224 | -66.8366 | -66.8366 | --0.0000 | -0.0000 | -
| 024 | -62.4759 | -62.4759 | --0.0000 | -0.0000 | -
| 172 | -36.9647 | -36.9646 | --0.0000 | -0.0000 | -
| 252 | -33.3730 | -33.3730 | -0.0000 | -0.0000 | -
| 302 | -77.3120 | -77.3120 | --0.0000 | -0.0000 | -
| 054 | -62.4308 | -62.4308 | -0.0000 | -0.0000 | -
| 132 | -34.4520 | -34.4520 | --0.0000 | -0.0000 | -
| 014 | -58.5426 | -58.5426 | --0.0000 | -0.0000 | -
| 202 | -47.1175 | -47.1175 | -0.0000 | -0.0000 | -
| 025 | -65.9857 | -65.9857 | --0.0000 | -0.0000 | -
| 085 | -64.7964 | -64.7964 | --0.0000 | -0.0000 | -
| 141 | -6.6902 | -6.6902 | --0.0000 | -0.0000 | -
| 091 | -13.2223 | -13.2223 | --0.0000 | -0.0000 | -
| 161 | -6.8479 | -6.8479 | --0.0000 | -0.0000 | -
| 192 | -47.9039 | -47.9038 | --0.0000 | -0.0000 | -
| 101 | -6.1333 | -6.1333 | --0.0000 | -0.0000 | -
| 204 | -58.4831 | -58.4830 | --0.0000 | -0.0000 | -
| 012 | -46.7790 | -46.7790 | --0.0000 | -0.0000 | -
| 015 | -61.9178 | -61.9177 | --0.0000 | -0.0000 | -
| 212 | -26.9619 | -26.9620 | -0.0000 | -0.0000 | -
| 122 | -39.3604 | -39.3604 | -0.0000 | -0.0000 | -
| 213 | -32.9974 | -32.9974 | --0.0000 | -0.0000 | -
| 303 | -94.6483 | -94.6482 | --0.0000 | -0.0000 | -
| 061 | -10.7588 | -10.7588 | --0.0000 | -0.0000 | -
| 193 | -64.2409 | -64.2408 | --0.0000 | -0.0000 | -
| 283 | -80.6521 | -80.6521 | --0.0000 | -0.0000 | -
| 211 | -4.6437 | -4.6437 | --0.0000 | -0.0000 | -
| 272 | -34.2029 | -34.2030 | -0.0000 | -0.0000 | -
| 171 | -6.3571 | -6.3571 | --0.0000 | -0.0000 | -
| 244 | -70.7412 | -70.7412 | -0.0000 | -0.0000 | -
| 142 | -35.9641 | -35.9641 | --0.0000 | -0.0000 | -
| 011 | -10.5855 | -10.5855 | --0.0001 | -0.0001 | -
| 084 | -62.0636 | -62.0635 | --0.0001 | -0.0001 | -
| 143 | -47.6421 | -47.6421 | --0.0001 | -0.0001 | -
| 241 | -9.4750 | -9.4750 | --0.0001 | -0.0001 | -
| 041 | -13.4357 | -13.4357 | --0.0001 | -0.0001 | -
| 216 | -15.7818 | -15.7818 | --0.0001 | -0.0001 | -
| 276 | -20.0781 | -20.0781 | --0.0001 | -0.0001 | -
| 215 | -37.4414 | -37.4414 | --0.0001 | -0.0001 | -
| 053 | -57.2186 | -57.2186 | --0.0001 | -0.0001 | -
| 123 | -51.1786 | -51.1786 | --0.0001 | -0.0001 | -
| 266 | -32.8916 | -32.8915 | --0.0001 | -0.0001 | -
| 245 | -75.5340 | -75.5340 | --0.0001 | -0.0001 | -
| 205 | -61.2696 | -61.2695 | --0.0001 | -0.0001 | -
| 214 | -35.7319 | -35.7319 | --0.0001 | -0.0001 | -
| 203 | -54.5416 | -54.5415 | --0.0001 | -0.0001 | -
| 151 | -6.5098 | -6.5099 | -0.0001 | -0.0001 | -
| 282 | -60.8722 | -60.8722 | --0.0001 | -0.0001 | -
| 301 | -29.7379 | -29.7379 | --0.0001 | -0.0001 | -
| 112 | -40.4292 | -40.4292 | --0.0001 | -0.0001 | -
| 144 | -53.3963 | -53.3962 | --0.0001 | -0.0001 | -
| 253 | -42.0119 | -42.0118 | --0.0001 | -0.0001 | -
| 162 | -36.4145 | -36.4145 | -0.0001 | -0.0001 | -
| 134 | -47.0151 | -47.0151 | -0.0001 | -0.0001 | -
| 194 | -73.6659 | -73.6659 | --0.0001 | -0.0001 | -
| 296 | -84.7219 | -84.7219 | --0.0001 | -0.0001 | -
| 165 | -51.5487 | -51.5486 | --0.0001 | -0.0001 | -
| 185 | -14.7898 | -14.7898 | --0.0001 | -0.0001 | -
| 183 | -46.3417 | -46.3417 | --0.0001 | -0.0001 | -
| 083 | -56.9164 | -56.9164 | --0.0001 | -0.0001 | -
| 242 | -44.8303 | -44.8302 | --0.0001 | -0.0001 | -
| 145 | -56.3642 | -56.3642 | --0.0001 | -0.0001 | -
| 173 | -48.1865 | -48.1864 | --0.0001 | -0.0001 | -
| 021 | -10.5716 | -10.5716 | --0.0001 | -0.0001 | -
| 131 | -6.0328 | -6.0327 | --0.0001 | -0.0001 | -
| 113 | -51.9226 | -51.9226 | --0.0001 | -0.0001 | -
| 163 | -44.8749 | -44.8749 | -0.0001 | -0.0001 | -
| 261 | -11.1663 | -11.1663 | --0.0001 | -0.0001 | -
| 271 | -7.1984 | -7.1984 | --0.0001 | -0.0001 | -
| 231 | -15.0347 | -15.0346 | --0.0001 | -0.0001 | -
| 182 | -34.9728 | -34.9727 | --0.0001 | -0.0001 | -
| 234 | -80.8645 | -80.8644 | --0.0001 | -0.0001 | -
| 243 | -61.3993 | -61.3994 | -0.0001 | -0.0001 | -
| 251 | -6.8682 | -6.8682 | --0.0001 | -0.0001 | -
| 286 | -36.9912 | -36.9911 | --0.0002 | -0.0002 | -
| 152 | -34.4905 | -34.4905 | --0.0002 | -0.0002 | -
| 111 | -7.1259 | -7.1259 | -0.0002 | -0.0002 | -
| 195 | -78.4794 | -78.4795 | -0.0002 | -0.0002 | -
| 306 | -72.7249 | -72.7248 | --0.0002 | -0.0002 | -
| 125 | -59.8037 | -59.8035 | --0.0003 | -0.0003 | -
Look at the statistics for the percent difference column
- -delta.describe()
-| - | HSP2 SUM | -HSPF SUM | -Percent diff | -abs(Percent diff) | -
|---|---|---|---|---|
| count | -129.0000 | -129.0000 | -129.0000 | -129.0000 | -
| mean | -45.5122 | -45.5122 | --0.0000 | -0.0001 | -
| std | -26.6657 | -26.6657 | -0.0001 | -0.0000 | -
| min | -4.6437 | -4.6437 | --0.0003 | -0.0000 | -
| 25% | -26.9619 | -26.9620 | --0.0001 | -0.0000 | -
| 50% | -46.7790 | -46.7790 | --0.0000 | -0.0000 | -
| 75% | -61.3993 | -61.3994 | --0.0000 | -0.0001 | -
| max | -121.6003 | -121.6003 | -0.0002 | -0.0003 | -
delta['Percent diff'].hist()
-<AxesSubplot:>-
-pls = delta.index[-1]
-print('WORST PERLND SEGMENT IS', pls)
-WORST PERLND SEGMENT IS 125 --
plot('PERLND', pls, 'PWATER', 'AGWLI', 'sum')
-
-scatter('PERLND', pls, 'PWATER', 'AGWLI', 'sum')
-
-
-plot('PERLND', pls, 'PWATER', 'SURLI', 'sum')
-
-scatter('PERLND', pls, 'PWATER', 'SURLI', 'sum')
-
-
-plot('PERLND', pls, 'PWATER', 'AGWO', 'sum')
-
-scatter('PERLND', pls, 'PWATER', 'AGWO', 'sum')
-
-plot('PERLND', pls, 'PWATER', 'BASET', 'sum')
-
-scatter('PERLND', pls, 'PWATER', 'BASET', 'sum')
-
-plot('PERLND', pls, 'PWATER', 'CEPE', 'sum')
-
-scatter('PERLND', pls, 'PWATER', 'CEPE', 'sum')
-
-plot('PERLND', pls, 'PWATER', 'IFWI', 'sum')
-
-scatter('PERLND', pls, 'PWATER', 'IFWI', 'sum')
-
-plot('PERLND', pls, 'PWATER', 'IFWO', 'sum')
-
-scatter('PERLND', pls, 'PWATER', 'IFWO', 'sum')
-
-plot('PERLND', pls, 'PWATER', 'IGWI', 'sum')
-
-scatter('PERLND', pls, 'PWATER', 'IGWI', 'sum')
-
-plot('PERLND', pls, 'PWATER', 'INFIL', 'sum')
-
-scatter('PERLND', pls, 'PWATER', 'INFIL', 'sum')
-
-plot('PERLND', pls, 'PWATER', 'LZET', 'sum')
-
-scatter('PERLND', pls, 'PWATER', 'LZET', 'sum')
-
-plot('PERLND', pls, 'PWATER', 'PERC', 'sum')
-
-scatter('PERLND', pls, 'PWATER', 'PERC', 'sum')
-
-plot('PERLND', pls, 'PWATER', 'PERO', 'sum')
-
-scatter('PERLND', pls, 'PWATER', 'PERO', 'sum')
-
-plot('PERLND', pls, 'PWATER', 'PERS', 'last')
-
-scatter('PERLND', pls, 'PWATER', 'PERS', 'last')
-
-plot('PERLND', pls, 'PWATER', 'PET', 'sum')
-
-scatter('PERLND', pls, 'PWATER', 'PET', 'sum')
-
-plot('PERLND', pls, 'PWATER', 'SUPY', 'sum')
-
-scatter('PERLND', pls, 'PWATER', 'SUPY', 'sum')
-
-plot('PERLND', pls, 'PWATER', 'SURO', 'sum')
-
-scatter('PERLND', pls, 'PWATER', 'SURO', 'sum')
-
-plot('PERLND', pls, 'PWATER', 'TAET', 'sum')
-
-scatter('PERLND', pls, 'PWATER', 'TAET', 'sum')
-
-plot('PERLND', pls, 'PWATER', 'UZET', 'sum')
-
-scatter('PERLND', pls, 'PWATER', 'UZET', 'sum')
-
-plot('PERLND', pls, 'PWATER', 'UZI', 'sum')
-
-scatter('PERLND', pls, 'PWATER', 'UZI', 'sum')
-
-
-rchreskeys = summary[(summary.Frequency=='Monthly') & (summary.Operation=='RCHRES')]
-rchreskeys[0:10]
-| - | Operation | -Activity | -segment | -Frequency | -Shape | -Start | -Stop | -
|---|---|---|---|---|---|---|---|
| RCHRES_HYDR_001_4 | -RCHRES | -HYDR | -1 | -Monthly | -(108, 17) | -1993-11-01 | -2002-10-01 | -
| RCHRES_HYDR_021_4 | -RCHRES | -HYDR | -21 | -Monthly | -(108, 17) | -1993-11-01 | -2002-10-01 | -
| RCHRES_HYDR_022_4 | -RCHRES | -HYDR | -22 | -Monthly | -(108, 17) | -1993-11-01 | -2002-10-01 | -
| RCHRES_HYDR_023_4 | -RCHRES | -HYDR | -23 | -Monthly | -(108, 17) | -1993-11-01 | -2002-10-01 | -
| RCHRES_HYDR_011_4 | -RCHRES | -HYDR | -11 | -Monthly | -(108, 17) | -1993-11-01 | -2002-10-01 | -
| RCHRES_HYDR_024_4 | -RCHRES | -HYDR | -24 | -Monthly | -(108, 17) | -1993-11-01 | -2002-10-01 | -
| RCHRES_HYDR_031_4 | -RCHRES | -HYDR | -31 | -Monthly | -(108, 17) | -1993-11-01 | -2002-10-01 | -
| RCHRES_HYDR_071_4 | -RCHRES | -HYDR | -71 | -Monthly | -(108, 17) | -1993-11-01 | -2002-10-01 | -
| RCHRES_HYDR_043_4 | -RCHRES | -HYDR | -43 | -Monthly | -(108, 17) | -1993-11-01 | -2002-10-01 | -
| RCHRES_HYDR_041_4 | -RCHRES | -HYDR | -41 | -Monthly | -(108, 17) | -1993-11-01 | -2002-10-01 | -
delta = monthlyoutflow(rchreskeys, 'ROVOL')
-delta
-| - | HSP2 SUM | -HSPF SUM | -Percent diff | -abs(Percent diff) | -
|---|---|---|---|---|
| 195 | -5182.8633 | -5182.8634 | -0.0000 | -0.0000 | -
| 525 | -755.3912 | -755.3912 | --0.0000 | -0.0000 | -
| 193 | -4381.4727 | -4381.4730 | -0.0000 | -0.0000 | -
| 504 | -72021.9453 | -72021.9519 | -0.0000 | -0.0000 | -
| 502 | -19465.1562 | -19465.1591 | -0.0000 | -0.0000 | -
| 952 | -709.6678 | -709.6680 | -0.0000 | -0.0000 | -
| 042 | -1649.1652 | -1649.1648 | --0.0000 | -0.0000 | -
| 964 | -754.5003 | -754.5005 | -0.0000 | -0.0000 | -
| 401 | -24895.3965 | -24895.4035 | -0.0000 | -0.0000 | -
| 011 | -4362.4233 | -4362.4249 | -0.0000 | -0.0000 | -
| 064 | -659.7577 | -659.7574 | --0.0000 | -0.0000 | -
| 421 | -4785.9263 | -4785.9245 | --0.0000 | -0.0000 | -
| 402 | -54092.2383 | -54092.2170 | --0.0000 | -0.0000 | -
| 521 | -27894.3848 | -27894.3957 | -0.0000 | -0.0000 | -
| 503 | -58696.6133 | -58696.5834 | --0.0001 | -0.0001 | -
| 043 | -2826.3008 | -2826.2993 | --0.0001 | -0.0001 | -
| 431 | -122787.2812 | -122787.3503 | -0.0001 | -0.0001 | -
| 514 | -1164.7091 | -1164.7084 | --0.0001 | -0.0001 | -
| 513 | -2387.7195 | -2387.7180 | --0.0001 | -0.0001 | -
| 422 | -4786.9658 | -4786.9627 | --0.0001 | -0.0001 | -
| 082 | -10818.1582 | -10818.1500 | --0.0001 | -0.0001 | -
| 542 | -46246.4961 | -46246.4583 | --0.0001 | -0.0001 | -
| 524 | -502.1086 | -502.1082 | --0.0001 | -0.0001 | -
| 041 | -1284.5618 | -1284.5606 | --0.0001 | -0.0001 | -
| 065 | -5130.6035 | -5130.5989 | --0.0001 | -0.0001 | -
| 101 | -1838.9595 | -1838.9578 | --0.0001 | -0.0001 | -
| 307 | -628905.2500 | -628904.6303 | --0.0001 | -0.0001 | -
| 201 | -222791.8594 | -222791.6388 | --0.0001 | -0.0001 | -
| 092 | -10395.0420 | -10395.0314 | --0.0001 | -0.0001 | -
| 045 | -7854.1567 | -7854.1480 | --0.0001 | -0.0001 | -
| 443 | -3280.6897 | -3280.6860 | --0.0001 | -0.0001 | -
| 001 | -4438.9258 | -4438.9206 | --0.0001 | -0.0001 | -
| 051 | -549.0590 | -549.0597 | -0.0001 | -0.0001 | -
| 044 | -5409.5825 | -5409.5752 | --0.0001 | -0.0001 | -
| 526 | -534.6501 | -534.6494 | --0.0001 | -0.0001 | -
| 501 | -8593.0918 | -8593.0796 | --0.0001 | -0.0001 | -
| 442 | -21559.5098 | -21559.5406 | -0.0001 | -0.0001 | -
| 002 | -15997.4072 | -15997.3832 | --0.0001 | -0.0001 | -
| 441 | -8057.0615 | -8057.0494 | --0.0002 | -0.0002 | -
| 046 | -16087.8154 | -16087.7906 | --0.0002 | -0.0002 | -
| 052 | -4096.2021 | -4096.1956 | --0.0002 | -0.0002 | -
| 510 | -737.4306 | -737.4294 | --0.0002 | -0.0002 | -
| 311 | -567.3906 | -567.3896 | --0.0002 | -0.0002 | -
| 411 | -13728.8291 | -13728.8047 | --0.0002 | -0.0002 | -
| 523 | -520.5114 | -520.5123 | -0.0002 | -0.0002 | -
| 306 | -427589.5625 | -427588.7750 | --0.0002 | -0.0002 | -
| 107 | -6026.4951 | -6026.4840 | --0.0002 | -0.0002 | -
| 500 | -897.5441 | -897.5425 | --0.0002 | -0.0002 | -
| 541 | -19720.7402 | -19720.7013 | --0.0002 | -0.0002 | -
| 404 | -214783.8281 | -214784.2646 | -0.0002 | -0.0002 | -
| 231 | -6698.2578 | -6698.2442 | --0.0002 | -0.0002 | -
| 423 | -29856.0039 | -29856.0651 | -0.0002 | -0.0002 | -
| 405 | -241551.7031 | -241552.2136 | -0.0002 | -0.0002 | -
| 081 | -894.3212 | -894.3231 | -0.0002 | -0.0002 | -
| 233 | -8076.3672 | -8076.3495 | --0.0002 | -0.0002 | -
| 241 | -4744.5142 | -4744.5037 | --0.0002 | -0.0002 | -
| 505 | -142266.2656 | -142266.5846 | -0.0002 | -0.0002 | -
| 408 | -282911.0625 | -282911.7119 | -0.0002 | -0.0002 | -
| 232 | -6702.0854 | -6702.0697 | --0.0002 | -0.0002 | -
| 243 | -4841.0264 | -4841.0147 | --0.0002 | -0.0002 | -
| 061 | -50.7809 | -50.7808 | --0.0002 | -0.0002 | -
| 407 | -254031.4219 | -254032.0347 | -0.0002 | -0.0002 | -
| 242 | -4738.8403 | -4738.8287 | --0.0002 | -0.0002 | -
| 511 | -8180.4258 | -8180.4057 | --0.0002 | -0.0002 | -
| 522 | -42176.1758 | -42176.2819 | -0.0003 | -0.0003 | -
| 091 | -2232.9434 | -2232.9375 | --0.0003 | -0.0003 | -
| 506 | -180278.1719 | -180278.6584 | -0.0003 | -0.0003 | -
| 406 | -252074.4375 | -252075.1252 | -0.0003 | -0.0003 | -
| 031 | -3580.3198 | -3580.3100 | --0.0003 | -0.0003 | -
| 103 | -2069.9731 | -2069.9670 | --0.0003 | -0.0003 | -
| 109 | -13218.1494 | -13218.1088 | --0.0003 | -0.0003 | -
| 102 | -1839.2242 | -1839.2185 | --0.0003 | -0.0003 | -
| 403 | -89014.4844 | -89014.7632 | -0.0003 | -0.0003 | -
| 512 | -8044.9546 | -8044.9289 | --0.0003 | -0.0003 | -
| 212 | -7844.9893 | -7845.0148 | -0.0003 | -0.0003 | -
| 010 | -124638.4375 | -124638.0076 | --0.0003 | -0.0003 | -
| 104 | -2070.1812 | -2070.1739 | --0.0003 | -0.0003 | -
| 008 | -109942.2969 | -109941.8991 | --0.0004 | -0.0004 | -
| 305 | -417478.4688 | -417476.9523 | --0.0004 | -0.0004 | -
| 009 | -110430.3828 | -110429.9814 | --0.0004 | -0.0004 | -
| 106 | -3680.5332 | -3680.5196 | --0.0004 | -0.0004 | -
| 108 | -9737.8740 | -9737.8358 | --0.0004 | -0.0004 | -
| 105 | -2075.3271 | -2075.3186 | --0.0004 | -0.0004 | -
| 063 | -298.5320 | -298.5332 | -0.0004 | -0.0004 | -
| 007 | -83588.6484 | -83588.2946 | --0.0004 | -0.0004 | -
| 301 | -168875.0625 | -168874.3195 | --0.0004 | -0.0004 | -
| 304 | -437196.8750 | -437194.9168 | --0.0004 | -0.0004 | -
| 006 | -67333.7109 | -67333.3843 | --0.0005 | -0.0005 | -
| 192 | -438.8760 | -438.8783 | -0.0005 | -0.0005 | -
| 194 | -16856.9707 | -16857.0623 | -0.0005 | -0.0005 | -
| 005 | -46529.0469 | -46528.7898 | --0.0006 | -0.0006 | -
| 021 | -4114.1909 | -4114.1670 | --0.0006 | -0.0006 | -
| 531 | -17607.7695 | -17607.8753 | -0.0006 | -0.0006 | -
| 003 | -29524.9805 | -29524.7953 | --0.0006 | -0.0006 | -
| 004 | -33555.1562 | -33554.9251 | --0.0007 | -0.0007 | -
| 904 | -32689.8379 | -32689.6056 | --0.0007 | -0.0007 | -
| 202 | -225417.1562 | -225418.9508 | -0.0008 | -0.0008 | -
| 023 | -2359.8896 | -2359.8698 | --0.0008 | -0.0008 | -
| 072 | -2016.1510 | -2016.1322 | --0.0009 | -0.0009 | -
| 204 | -232862.0000 | -232864.7523 | -0.0012 | -0.0012 | -
| 203 | -224703.8750 | -224706.5347 | -0.0012 | -0.0012 | -
| 024 | -218.4370 | -218.4398 | -0.0013 | -0.0013 | -
| 205 | -234785.3594 | -234788.7485 | -0.0014 | -0.0014 | -
| 302 | -160585.4531 | -160583.0851 | --0.0015 | -0.0015 | -
| 025 | -7859.8350 | -7859.7125 | --0.0016 | -0.0016 | -
| 303 | -150679.0156 | -150676.4391 | --0.0017 | -0.0017 | -
| 206 | -261748.9688 | -261753.6735 | -0.0018 | -0.0018 | -
| 062 | -58.4558 | -58.4571 | -0.0022 | -0.0022 | -
| 207 | -205014.4062 | -205019.8237 | -0.0026 | -0.0026 | -
| 022 | -3784.8174 | -3784.7093 | --0.0029 | -0.0029 | -
| 071 | -333.4920 | -333.4770 | --0.0045 | -0.0045 | -
| 211 | -6395.6421 | -6396.1328 | -0.0077 | -0.0077 | -
| 223 | -10950.7803 | -10951.6499 | -0.0079 | -0.0079 | -
| 227 | -9763.1318 | -9763.9344 | -0.0082 | -0.0082 | -
| 191 | -7558.6216 | -7559.5105 | -0.0118 | -0.0118 | -
| 222 | -4994.4268 | -4995.3578 | -0.0186 | -0.0186 | -
| 221 | -5000.5112 | -5001.4445 | -0.0187 | -0.0187 | -
| 190 | -9016.9951 | -9018.7364 | -0.0193 | -0.0193 | -
| 225 | -6016.8682 | -6018.1128 | -0.0207 | -0.0207 | -
Look at the statistics for the percent difference column
- -delta.describe()
-| - | HSP2 SUM | -HSPF SUM | -Percent diff | -abs(Percent diff) | -
|---|---|---|---|---|
| count | -119.0000 | -119.0000 | -119.0000 | -119.0000 | -
| mean | -60604.2668 | -60604.4235 | -0.0009 | -0.0013 | -
| std | -109767.5969 | -109767.6913 | -0.0039 | -0.0038 | -
| min | -50.7809 | -50.7808 | --0.0045 | -0.0000 | -
| 25% | -2607.0101 | -2607.0087 | --0.0003 | -0.0001 | -
| 50% | -8044.9546 | -8044.9289 | --0.0001 | -0.0002 | -
| 75% | -56394.4258 | -56394.4002 | -0.0002 | -0.0005 | -
| max | -628905.2500 | -628904.6303 | -0.0207 | -0.0207 | -
delta['Percent diff'].hist()
-<AxesSubplot:>-
-rid = delta.index[-1]
-print('WORST RCHRES SEGMENT IS', rid)
-WORST RCHRES SEGMENT IS 225 --
plot('RCHRES', rid, 'HYDR', 'IVOL', 'sum')
-
-scatter('RCHRES', rid, 'HYDR', 'IVOL', 'sum')
-
-plot('RCHRES', rid, 'HYDR', 'PRSUPY', 'sum')
-
-scatter('RCHRES', rid, 'HYDR', 'PRSUPY', 'sum')
-
-plot('RCHRES', rid, 'HYDR', 'ROVOL', 'sum')
-
-scatter('RCHRES', rid, 'HYDR', 'ROVOL', 'sum')
-
-plot('RCHRES', rid, 'HYDR', 'VOL', 'last')
-
-scatter('RCHRES', rid, 'HYDR', 'VOL', 'last')
-
-plot('RCHRES', rid, 'HYDR', 'VOLEV', 'sum')
-
-scatter('RCHRES', rid, 'HYDR', 'VOLEV', 'sum')
-
-
-
-
-| \n", - " | version | \n", - "
|---|---|
| name | \n", - "\n", - " |
| Python | \n", - "3.10.14 | packaged by conda-forge | (main, Mar... | \n", - "
| hsp2 | \n", - "n/a | \n", - "
| numpy | \n", - "1.26.4 | \n", - "
| numba | \n", - "0.59.1 | \n", - "
| pandas | \n", - "1.5.3 | \n", - "
| matplotlib | \n", - "3.8.4 | \n", - "
| os | \n", - "Linux-5.15.0-91-generic-x86_64-with-glibc2.35 | \n", - "
| processor | \n", - "x86_64 | \n", - "
| Date/Time | \n", - "2024-05-21T18:08:33.215704 | \n", - "
| \n", - " | Start | \n", - "Stop | \n", - "Freq | \n", - "Length | \n", - "TSTYPE | \n", - "TFILL | \n", - "STAID | \n", - "STNAM | \n", - "SCENARIO | \n", - "LOCATION | \n", - "
|---|---|---|---|---|---|---|---|---|---|---|
| TS039 | \n", - "1976-01-01 00:00:00 | \n", - "1977-01-01 00:00:00 | \n", - "1h | \n", - "8784 | \n", - "PREC | \n", - "-999.0000 | \n", - "HOURLY PREC | \n", - "PRECIP TRAER IOWA | \n", - "TEST02 | \n", - "C:1 | \n", - "
| TS041 | \n", - "1976-01-01 00:00:00 | \n", - "1977-01-01 00:00:00 | \n", - "1D | \n", - "366 | \n", - "EVAP | \n", - "-999.0000 | \n", - "DAILY EVAP | \n", - "FARMERS COOP WEATHER STN | \n", - "TEST01 | \n", - "M:1 | \n", - "
| TS042 | \n", - "1976-01-01 00:00:00 | \n", - "1977-01-01 00:00:00 | \n", - "1D | \n", - "366 | \n", - "WIND | \n", - "-999.0000 | \n", - "DAILY WIND | \n", - "FARMERS COOP WEATHER STN | \n", - "TEST01 | \n", - "M:1 | \n", - "
| TS046 | \n", - "1976-01-01 00:00:00 | \n", - "1977-01-01 00:00:00 | \n", - "2h | \n", - "4392 | \n", - "SOLR | \n", - "-999.0000 | \n", - "2 HOUR RAD | \n", - "FARMERS WEATHER STN | \n", - "TEST02 | \n", - "C:1 | \n", - "
| TS113 | \n", - "1976-01-01 00:00:00 | \n", - "1977-01-01 00:00:00 | \n", - "1D | \n", - "366 | \n", - "FLOW | \n", - "-999.0000 | \n", - "DAILY FLOW | \n", - "IOWA RIVER MARSHALLTOWN | \n", - "TEST01 | \n", - "M:1 | \n", - "
| TS119 | \n", - "1976-01-01 00:00:00 | \n", - "1977-01-01 00:00:00 | \n", - "1D | \n", - "366 | \n", - "FLOW | \n", - "-999.0000 | \n", - "DAILY FLOW | \n", - "IOWA RIVER MARENGO | \n", - "TEST01 | \n", - "M:1 | \n", - "
| TS121 | \n", - "1976-01-01 00:00:00 | \n", - "1977-01-01 00:00:00 | \n", - "2h | \n", - "4392 | \n", - "ATMP | \n", - "-999.0000 | \n", - "2 HOUR AIR TEMP | \n", - "CEDAR RAPIDS IOWA | \n", - "TEST02 | \n", - "C:1 | \n", - "
| TS122 | \n", - "1976-01-01 00:00:00 | \n", - "1977-01-01 00:00:00 | \n", - "2h | \n", - "4392 | \n", - "ATMP | \n", - "-999.0000 | \n", - "2 HOUR AIR TEMP | \n", - "IOWA FALLS IOWA | \n", - "TEST02 | \n", - "C:1 | \n", - "
| TS123 | \n", - "1976-01-01 00:00:00 | \n", - "1977-01-01 00:00:00 | \n", - "2h | \n", - "4392 | \n", - "ATMP | \n", - "-999.0000 | \n", - "2 HOUR AIR TEMP | \n", - "MARSHALLTOWN IOWA | \n", - "TEST02 | \n", - "C:1 | \n", - "
| TS124 | \n", - "1976-01-01 00:00:00 | \n", - "1977-01-01 00:00:00 | \n", - "1D | \n", - "366 | \n", - "DEWP | \n", - "-999.0000 | \n", - "DAILY DEW PT | \n", - "CEDAR RAPIDS IOWA | \n", - "TEST01 | \n", - "M:1 | \n", - "
| TS125 | \n", - "1976-01-01 00:00:00 | \n", - "1977-01-01 00:00:00 | \n", - "1D | \n", - "366 | \n", - "DEWP | \n", - "-999.0000 | \n", - "DAILY DEW PT | \n", - "IOWA FALLS IOWA | \n", - "TEST01 | \n", - "M:1 | \n", - "
| TS126 | \n", - "1976-01-01 00:00:00 | \n", - "1977-01-01 00:00:00 | \n", - "1D | \n", - "366 | \n", - "DEWP | \n", - "-999.0000 | \n", - "DAILY DEW PT | \n", - "MARSHALLTOWN IOWA | \n", - "TEST01 | \n", - "M:1 | \n", - "
| TS127 | \n", - "1976-01-01 00:00:00 | \n", - "1977-01-01 00:00:00 | \n", - "1D | \n", - "366 | \n", - "SEDM | \n", - "-999.0000 | \n", - "SEDIMENT CONC | \n", - "IOWA RIVER MARENGO | \n", - "TEST01 | \n", - "M:1 | \n", - "
| TS131 | \n", - "1976-01-01 00:00:00 | \n", - "1977-01-01 00:00:00 | \n", - "1h | \n", - "8784 | \n", - "PREC | \n", - "-999.0000 | \n", - "HOURLY PREC | \n", - "PRECIP IOWA FALLS | \n", - "TEST02 | \n", - "C:1 | \n", - "
| TS132 | \n", - "1976-01-01 00:00:00 | \n", - "1977-01-01 00:00:00 | \n", - "1h | \n", - "8784 | \n", - "PREC | \n", - "-999.0000 | \n", - "HOURLY PREC | \n", - "PRECIP SHEFFIELD | \n", - "TEST02 | \n", - "C:1 | \n", - "
| TS134 | \n", - "1976-01-01 00:00:00 | \n", - "1977-01-01 00:00:00 | \n", - "1D | \n", - "366 | \n", - "WTMP | \n", - "-999.0000 | \n", - "WATER TEMP | \n", - "IOWA RIVER (ESTIMATED) | \n", - "TEST01 | \n", - "M:1 | \n", - "
| TS135 | \n", - "1976-01-01 00:00:00 | \n", - "1977-01-01 00:00:00 | \n", - "1D | \n", - "366 | \n", - "CLDC | \n", - "-999.0000 | \n", - "CLOUD COVER | \n", - "WATERLOO (TENTHS) | \n", - "TEST03 | \n", - "C:1 | \n", - "
| TS136 | \n", - "1976-01-01 00:00:00 | \n", - "1977-01-01 00:00:00 | \n", - "1D | \n", - "366 | \n", - "FLOW | \n", - "-999.0000 | \n", - "DAILY FLOW | \n", - "IOWA RIVER ROWAN | \n", - "TEST01 | \n", - "M:1 | \n", - "
| TS140 | \n", - "1976-01-01 00:00:00 | \n", - "1977-01-01 00:00:00 | \n", - "1D | \n", - "366 | \n", - "CLND | \n", - "-999.0000 | \n", - "COLIND | \n", - "COLUMN INDICATOR MEIER POND SUMMER-WINTER OUTLET | \n", - "TEST03 | \n", - "C:1 | \n", - "
| \n", - " | version | \n", - "
|---|---|
| Python | \n", - "3.8.2 | packaged by conda-forge | (default, Ap... | \n", - "
| HSP2 | \n", - "1.0.0 | \n", - "
| numpy | \n", - "1.18.1 | \n", - "
| numba | \n", - "0.48.0 | \n", - "
| pandas | \n", - "1.0.3 | \n", - "
| os | \n", - "Windows-10-10.0.19041-SP0 | \n", - "
| processor | \n", - "Intel64 Family 6 Model 142 Stepping 9, Genuine... | \n", - "
| Date/Time | \n", - "2020-12-10 16:49:17 | \n", - "
| \n", - " | Operation | \n", - "Activity | \n", - "segment | \n", - "Frequency | \n", - "Shape | \n", - "Start | \n", - "Stop | \n", - "
|---|---|---|---|---|---|---|---|
| PERLND_SNOW_001_4 | \n", - "PERLND | \n", - "SNOW | \n", - "1 | \n", - "Monthly | \n", - "(12, 22) | \n", - "1976-02-01 | \n", - "1977-01-01 | \n", - "
| PERLND_PWATER_001_4 | \n", - "PERLND | \n", - "PWATER | \n", - "1 | \n", - "Monthly | \n", - "(12, 29) | \n", - "1976-02-01 | \n", - "1977-01-01 | \n", - "
| PERLND_PSTEMP_001_4 | \n", - "PERLND | \n", - "PSTEMP | \n", - "1 | \n", - "Monthly | \n", - "(12, 4) | \n", - "1976-02-01 | \n", - "1977-01-01 | \n", - "
| PERLND_PWTGAS_001_4 | \n", - "PERLND | \n", - "PWTGAS | \n", - "1 | \n", - "Monthly | \n", - "(12, 21) | \n", - "1976-02-01 | \n", - "1977-01-01 | \n", - "
| RCHRES_HYDR_001_4 | \n", - "RCHRES | \n", - "HYDR | \n", - "1 | \n", - "Monthly | \n", - "(12, 21) | \n", - "1976-02-01 | \n", - "1977-01-01 | \n", - "
| ... | \n", - "... | \n", - "... | \n", - "... | \n", - "... | \n", - "... | \n", - "... | \n", - "... | \n", - "
| RCHRES_GQUAL_005_5 | \n", - "RCHRES | \n", - "GQUAL | \n", - "5 | \n", - "Yearly | \n", - "(1, 58) | \n", - "1977-01-01 | \n", - "1977-01-01 | \n", - "
| RCHRES_OXRX_005_5 | \n", - "RCHRES | \n", - "OXRX | \n", - "5 | \n", - "Yearly | \n", - "(1, 24) | \n", - "1977-01-01 | \n", - "1977-01-01 | \n", - "
| RCHRES_NUTRX_005_5 | \n", - "RCHRES | \n", - "NUTRX | \n", - "5 | \n", - "Yearly | \n", - "(1, 52) | \n", - "1977-01-01 | \n", - "1977-01-01 | \n", - "
| RCHRES_PLANK_005_5 | \n", - "RCHRES | \n", - "PLANK | \n", - "5 | \n", - "Yearly | \n", - "(1, 62) | \n", - "1977-01-01 | \n", - "1977-01-01 | \n", - "
| RCHRES_PHCARB_005_5 | \n", - "RCHRES | \n", - "PHCARB | \n", - "5 | \n", - "Yearly | \n", - "(1, 14) | \n", - "1977-01-01 | \n", - "1977-01-01 | \n", - "
106 rows × 7 columns
\n", - "| \n", - " | Operation | \n", - "Activity | \n", - "segment | \n", - "Frequency | \n", - "Shape | \n", - "Start | \n", - "Stop | \n", - "
|---|---|---|---|---|---|---|---|
| PERLND_SNOW_001_4 | \n", - "PERLND | \n", - "SNOW | \n", - "1 | \n", - "Monthly | \n", - "(12, 22) | \n", - "1976-02-01 | \n", - "1977-01-01 | \n", - "
| PERLND_PWATER_001_4 | \n", - "PERLND | \n", - "PWATER | \n", - "1 | \n", - "Monthly | \n", - "(12, 29) | \n", - "1976-02-01 | \n", - "1977-01-01 | \n", - "
| PERLND_PSTEMP_001_4 | \n", - "PERLND | \n", - "PSTEMP | \n", - "1 | \n", - "Monthly | \n", - "(12, 4) | \n", - "1976-02-01 | \n", - "1977-01-01 | \n", - "
| PERLND_PWTGAS_001_4 | \n", - "PERLND | \n", - "PWTGAS | \n", - "1 | \n", - "Monthly | \n", - "(12, 21) | \n", - "1976-02-01 | \n", - "1977-01-01 | \n", - "
| RCHRES_HYDR_001_4 | \n", - "RCHRES | \n", - "HYDR | \n", - "1 | \n", - "Monthly | \n", - "(12, 21) | \n", - "1976-02-01 | \n", - "1977-01-01 | \n", - "
| ... | \n", - "... | \n", - "... | \n", - "... | \n", - "... | \n", - "... | \n", - "... | \n", - "... | \n", - "
| RCHRES_GQUAL_005_5 | \n", - "RCHRES | \n", - "GQUAL | \n", - "5 | \n", - "Yearly | \n", - "(1, 58) | \n", - "1977-01-01 | \n", - "1977-01-01 | \n", - "
| RCHRES_OXRX_005_5 | \n", - "RCHRES | \n", - "OXRX | \n", - "5 | \n", - "Yearly | \n", - "(1, 24) | \n", - "1977-01-01 | \n", - "1977-01-01 | \n", - "
| RCHRES_NUTRX_005_5 | \n", - "RCHRES | \n", - "NUTRX | \n", - "5 | \n", - "Yearly | \n", - "(1, 52) | \n", - "1977-01-01 | \n", - "1977-01-01 | \n", - "
| RCHRES_PLANK_005_5 | \n", - "RCHRES | \n", - "PLANK | \n", - "5 | \n", - "Yearly | \n", - "(1, 62) | \n", - "1977-01-01 | \n", - "1977-01-01 | \n", - "
| RCHRES_PHCARB_005_5 | \n", - "RCHRES | \n", - "PHCARB | \n", - "5 | \n", - "Yearly | \n", - "(1, 14) | \n", - "1977-01-01 | \n", - "1977-01-01 | \n", - "
106 rows × 7 columns
\n", - "