From d1b1e1a96569a40eec909cc142af61a449d4c7c8 Mon Sep 17 00:00:00 2001 From: Benjamin <3benknight@gmail.com> Date: Tue, 23 Jul 2024 16:11:18 -0400 Subject: [PATCH] Resolved loading error due to deprecated python. --- notebooks/quick_starter.ipynb | 394 ++++++++++++++++++++++------- xanthos/data_reader/data_load.py | 1 - xanthos/diagnostics/diagnostics.py | 6 +- xanthos/hydropower/actual.py | 4 +- 4 files changed, 310 insertions(+), 95 deletions(-) diff --git a/notebooks/quick_starter.ipynb b/notebooks/quick_starter.ipynb index b7a38f18..50df4e76 100644 --- a/notebooks/quick_starter.ipynb +++ b/notebooks/quick_starter.ipynb @@ -82,18 +82,11 @@ "name": "#%%\n" }, "ExecuteTime": { - "end_time": "2024-07-15T19:35:00.572554400Z", - "start_time": "2024-07-15T19:33:06.645516100Z" + "end_time": "2024-07-23T16:16:46.296535300Z", + "start_time": "2024-07-23T16:14:50.780006200Z" } }, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "Matplotlib is building the font cache; this may take a moment.\n" - ] - }, { "name": "stdout", "output_type": "stream", @@ -231,11 +224,11 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 1, "metadata": { "ExecuteTime": { - "end_time": "2024-07-15T19:35:54.675676100Z", - "start_time": "2024-07-15T19:35:54.632716900Z" + "end_time": "2024-07-23T19:27:53.917182100Z", + "start_time": "2024-07-23T19:27:53.824116300Z" } }, "outputs": [], @@ -259,14 +252,14 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 2, "metadata": { "pycharm": { "name": "#%%\n" }, "ExecuteTime": { - "end_time": "2024-07-15T19:36:05.832989Z", - "start_time": "2024-07-15T19:36:05.798006600Z" + "end_time": "2024-07-23T19:27:53.944920300Z", + "start_time": "2024-07-23T19:27:53.833986Z" } }, "outputs": [ @@ -280,7 +273,7 @@ "ProjectName = pm_abcd_mrtm_watch_1971_2001\n", "\n", "# full path to directory containing input and output directories\n", - "RootDir = example\n", + "RootDir = C:\\xanthos-dev\\xanthos-dev\\data\\example\n", "\n", "# input directory name contained in root\n", "InputFolder = input\n", @@ -427,10 +420,10 @@ "jobs = -1\n", "\n", "# minimum temperature file that is stored in the model directory in deg C\n", - "TempMinFile = example/input/climate/tasmin_watch_monthly_degc_1971_2001.npy\n", + "TempMinFile = C:\\xanthos-dev\\xanthos-dev\\data\\example\\input/climate/pr_gpcc_watch_monthly_mmpermth_1971_2001.npy\n", "\n", "# monthly average precipitation in mm/mth\n", - "PrecipitationFile = example/input/climate/pr_gpcc_watch_monthly_mmpermth_1971_2001.npy\n", + "PrecipitationFile = C:\\xanthos-dev\\xanthos-dev\\data\\example\\input/climate/pr_gpcc_watch_monthly_mmpermth_1971_2001.npy\n", "\n", "\n", "# Set routing module type and individual parameters\n", @@ -566,11 +559,11 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 3, "metadata": { "ExecuteTime": { - "end_time": "2024-07-15T19:36:23.707144500Z", - "start_time": "2024-07-15T19:36:23.690293700Z" + "end_time": "2024-07-23T19:27:53.946921300Z", + "start_time": "2024-07-23T19:27:53.849261100Z" } }, "outputs": [], @@ -596,11 +589,11 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 4, "metadata": { "ExecuteTime": { - "end_time": "2024-07-15T19:36:24.450054200Z", - "start_time": "2024-07-15T19:36:24.420450700Z" + "end_time": "2024-07-23T19:27:54.103697800Z", + "start_time": "2024-07-23T19:27:53.901784400Z" } }, "outputs": [], @@ -632,14 +625,14 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": 5, "metadata": { "pycharm": { "name": "#%%\n" }, "ExecuteTime": { - "end_time": "2024-07-15T19:36:26.543379300Z", - "start_time": "2024-07-15T19:36:26.501226300Z" + "end_time": "2024-07-23T19:27:54.195446100Z", + "start_time": "2024-07-23T19:27:54.077159500Z" } }, "outputs": [ @@ -945,14 +938,22 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 6, "metadata": { "ExecuteTime": { - "end_time": "2024-07-15T19:57:24.829118300Z", - "start_time": "2024-07-15T19:37:03.047483800Z" + "end_time": "2024-07-23T19:47:38.800430600Z", + "start_time": "2024-07-23T19:28:01.816451900Z" } }, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\knig694\\AppData\\Local\\miniconda3\\envs\\xanthos\\Lib\\site-packages\\xanthos\\drought\\drought_stats.py:86: SyntaxWarning: invalid escape sequence '\\s'\n", + " \"\"\"Compute Severity, Intensity, and Duration statistics for a matrix of hydrological output.\n" + ] + }, { "name": "stdout", "output_type": "stream", @@ -970,7 +971,7 @@ "name": "stderr", "output_type": "stream", "text": [ - "C:\\Users\\knig694\\AppData\\Local\\miniconda3\\envs\\xanthos\\Lib\\site-packages\\xanthos\\data_reader\\data_load.py:360: UserWarning: Reading `.npy` or `.npz` file required additional header parsing as it was created on Python 2. Save the file again to speed up loading and avoid this warning.\n", + "C:\\Users\\knig694\\AppData\\Local\\miniconda3\\envs\\xanthos\\Lib\\site-packages\\xanthos\\data_reader\\data_load.py:359: UserWarning: Reading `.npy` or `.npz` file required additional header parsing as it was created on Python 2. Save the file again to speed up loading and avoid this warning.\n", " data = np.load(fn)\n" ] }, @@ -1011,20 +1012,20 @@ "INFO: \t\tProcessing Years: 1999 to 2000\n", "INFO: \t\tProcessing Years: 2000 to 2001\n", "INFO: \t\tProcessing Years: 2001 to 2001\n", - "INFO: \tPET processed in 447.5781569480896 seconds---\n", + "INFO: \tPET processed in 340.7386016845703 seconds---\n", "INFO: \tProcessing Runoff...\n", "INFO: \t\tProcessing spin-up and simulation for basins 1...235\n", - "INFO: \tRunoff processed in 15.192879676818848 seconds---\n", + "INFO: \tRunoff processed in 8.466723918914795 seconds---\n", "INFO: \tProcessing Routing...\n", - "INFO: \tRouting processed in 684.0795149803162 seconds---\n", - "INFO: ---Simulation has finished successfully: 1146.8841090202332 seconds ---\n", + "INFO: \tRouting processed in 734.0991442203522 seconds---\n", + "INFO: ---Simulation has finished successfully: 1083.3363785743713 seconds ---\n", "INFO: ---Start Accessible Water:\n", - "INFO: ---Accessible Water has finished successfully: 7.200496435165405 seconds ------\n", + "INFO: ---Accessible Water has finished successfully: 5.677178859710693 seconds ------\n", "INFO: ---Start Drought Statistics:\n", "INFO: \tCalculating drought thresholds\n", - "INFO: ---Drought Statistics has finished successfully: 0.7958569526672363 seconds ------\n", + "INFO: ---Drought Statistics has finished successfully: 0.674048662185669 seconds ------\n", "INFO: ---Start Hydropower Potential:\n", - "INFO: ---Hydropower Potential has finished successfully: 8.655556678771973 seconds ------\n", + "INFO: ---Hydropower Potential has finished successfully: 7.067700624465942 seconds ------\n", "INFO: ---Start Hydropower Actual:\n" ] }, @@ -1033,39 +1034,30 @@ "output_type": "stream", "text": [ "C:\\Users\\knig694\\AppData\\Local\\miniconda3\\envs\\xanthos\\Lib\\site-packages\\xanthos\\hydropower\\actual.py:46: UserWarning: Reading `.npy` or `.npz` file required additional header parsing as it was created on Python 2. Save the file again to speed up loading and avoid this warning.\n", - " self.rule_curves = np.load(settings.rule_curves) # rule curves for all 1593 dams\n", - "C:\\Users\\knig694\\AppData\\Local\\miniconda3\\envs\\xanthos\\Lib\\site-packages\\xanthos\\hydropower\\actual.py:104: FutureWarning: Calling int on a single element Series is deprecated and will raise a TypeError in the future. Use int(ser.iloc[0]) instead\n", - " return int(self.loc_refs[(self.loc_refs[\"long\"] == lon) & (self.loc_refs[\"lati\"] == lat)][\"ID\"])\n" + " self.rule_curves = np.load(settings.rule_curves) # rule curves for all 1593 dams\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ - "INFO: ---Hydropower Actual has finished successfully: 47.09125351905823 seconds ------\n", - "INFO: ---Start Diagnostics:\n" - ] - }, - { - "ename": "TypeError", - "evalue": "Slicing a positional slice with .loc is not allowed, Use .loc with labels or .iloc with positions instead.", - "output_type": "error", - "traceback": [ - "\u001B[1;31m---------------------------------------------------------------------------\u001B[0m", - "\u001B[1;31mTypeError\u001B[0m Traceback (most recent call last)", - "Cell \u001B[1;32mIn[7], line 4\u001B[0m\n\u001B[0;32m 1\u001B[0m \u001B[38;5;28;01mimport\u001B[39;00m \u001B[38;5;21;01mxanthos\u001B[39;00m\n\u001B[0;32m 3\u001B[0m \u001B[38;5;66;03m# run Xanthos \u001B[39;00m\n\u001B[1;32m----> 4\u001B[0m xanthos\u001B[38;5;241m.\u001B[39mrun_model(config_file)\n", - "File \u001B[1;32m~\\AppData\\Local\\miniconda3\\envs\\xanthos\\Lib\\site-packages\\xanthos\\model.py:121\u001B[0m, in \u001B[0;36mrun_model\u001B[1;34m(config_file)\u001B[0m\n\u001B[0;32m 112\u001B[0m \u001B[38;5;250m\u001B[39m\u001B[38;5;124;03m\"\"\"Run the Xanthos model based on a user-defined configuration.\u001B[39;00m\n\u001B[0;32m 113\u001B[0m \n\u001B[0;32m 114\u001B[0m \u001B[38;5;124;03m:param config_file: Full path with file name and extension to the input configuration file.\u001B[39;00m\n\u001B[0;32m 115\u001B[0m \u001B[38;5;124;03m:type config_file: str\u001B[39;00m\n\u001B[0;32m 116\u001B[0m \n\u001B[0;32m 117\u001B[0m \u001B[38;5;124;03m\"\"\"\u001B[39;00m\n\u001B[0;32m 119\u001B[0m xth \u001B[38;5;241m=\u001B[39m Xanthos(config_file)\n\u001B[1;32m--> 121\u001B[0m xth\u001B[38;5;241m.\u001B[39mexecute()\n", - "File \u001B[1;32m~\\AppData\\Local\\miniconda3\\envs\\xanthos\\Lib\\site-packages\\xanthos\\model.py:94\u001B[0m, in \u001B[0;36mXanthos.execute\u001B[1;34m(self, args)\u001B[0m\n\u001B[0;32m 91\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mconfig\u001B[38;5;241m.\u001B[39mlog_info()\n\u001B[0;32m 93\u001B[0m config_runner \u001B[38;5;241m=\u001B[39m ConfigRunner(\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mconfig)\n\u001B[1;32m---> 94\u001B[0m results \u001B[38;5;241m=\u001B[39m config_runner\u001B[38;5;241m.\u001B[39mrun()\n\u001B[0;32m 96\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mcleanup()\n\u001B[0;32m 98\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m results\n", - "File \u001B[1;32m~\\AppData\\Local\\miniconda3\\envs\\xanthos\\Lib\\site-packages\\xanthos\\configurations.py:133\u001B[0m, in \u001B[0;36mConfigRunner.run\u001B[1;34m(self)\u001B[0m\n\u001B[0;32m 130\u001B[0m c\u001B[38;5;241m.\u001B[39mhydropower_actual()\n\u001B[0;32m 132\u001B[0m \u001B[38;5;66;03m# diagnostics\u001B[39;00m\n\u001B[1;32m--> 133\u001B[0m c\u001B[38;5;241m.\u001B[39mdiagnostics()\n\u001B[0;32m 135\u001B[0m \u001B[38;5;66;03m# output simulation data\u001B[39;00m\n\u001B[0;32m 136\u001B[0m c\u001B[38;5;241m.\u001B[39moutput_simulation()\n", - "File \u001B[1;32m~\\AppData\\Local\\miniconda3\\envs\\xanthos\\Lib\\site-packages\\xanthos\\components.py:437\u001B[0m, in \u001B[0;36mComponents.diagnostics\u001B[1;34m(self)\u001B[0m\n\u001B[0;32m 434\u001B[0m logging\u001B[38;5;241m.\u001B[39minfo(\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m---Start Diagnostics:\u001B[39m\u001B[38;5;124m\"\u001B[39m)\n\u001B[0;32m 435\u001B[0m t0 \u001B[38;5;241m=\u001B[39m time\u001B[38;5;241m.\u001B[39mtime()\n\u001B[1;32m--> 437\u001B[0m Diagnostics(\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39ms, \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mQ, \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mdata)\n\u001B[0;32m 439\u001B[0m logging\u001B[38;5;241m.\u001B[39minfo(\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124m---Diagnostics has finished successfully: \u001B[39m\u001B[38;5;132;01m%s\u001B[39;00m\u001B[38;5;124m seconds ------\u001B[39m\u001B[38;5;124m\"\u001B[39m \u001B[38;5;241m%\u001B[39m (time\u001B[38;5;241m.\u001B[39mtime() \u001B[38;5;241m-\u001B[39m t0))\n", - "File \u001B[1;32m~\\AppData\\Local\\miniconda3\\envs\\xanthos\\Lib\\site-packages\\xanthos\\diagnostics\\diagnostics.py:82\u001B[0m, in \u001B[0;36mDiagnostics.__init__\u001B[1;34m(self, settings, xanthos_q, ref)\u001B[0m\n\u001B[0;32m 77\u001B[0m \u001B[38;5;66;03m# Only basins/countries/regions for which all four models have\u001B[39;00m\n\u001B[0;32m 78\u001B[0m \u001B[38;5;66;03m# values are used to estimate the RMSE values\u001B[39;00m\n\u001B[0;32m 79\u001B[0m \n\u001B[0;32m 80\u001B[0m \u001B[38;5;66;03m# Basin Based\u001B[39;00m\n\u001B[0;32m 81\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m settings\u001B[38;5;241m.\u001B[39mDiagnosticScale \u001B[38;5;241m==\u001B[39m \u001B[38;5;241m0\u001B[39m \u001B[38;5;129;01mor\u001B[39;00m settings\u001B[38;5;241m.\u001B[39mDiagnosticScale \u001B[38;5;241m==\u001B[39m \u001B[38;5;241m1\u001B[39m:\n\u001B[1;32m---> 82\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mwrite_diagnostics(\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mBasin\u001B[39m\u001B[38;5;124m'\u001B[39m, ref\u001B[38;5;241m.\u001B[39mbasin_ids, ref\u001B[38;5;241m.\u001B[39mbasin_names, q, qq, wbm, wbmc, UNH, \u001B[38;5;241m1\u001B[39m)\n\u001B[0;32m 84\u001B[0m \u001B[38;5;66;03m# Country Based\u001B[39;00m\n\u001B[0;32m 85\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m settings\u001B[38;5;241m.\u001B[39mDiagnosticScale \u001B[38;5;241m==\u001B[39m \u001B[38;5;241m0\u001B[39m \u001B[38;5;129;01mor\u001B[39;00m settings\u001B[38;5;241m.\u001B[39mDiagnosticScale \u001B[38;5;241m==\u001B[39m \u001B[38;5;241m2\u001B[39m:\n", - "File \u001B[1;32m~\\AppData\\Local\\miniconda3\\envs\\xanthos\\Lib\\site-packages\\xanthos\\diagnostics\\diagnostics.py:130\u001B[0m, in \u001B[0;36mDiagnostics.write_diagnostics\u001B[1;34m(self, scale, id_map, name_map, q, qq, wbm, wbmc, UNH, name_map_offset)\u001B[0m\n\u001B[0;32m 128\u001B[0m \u001B[38;5;66;03m# Add global total as top row\u001B[39;00m\n\u001B[0;32m 129\u001B[0m agg_df\u001B[38;5;241m.\u001B[39mloc[\u001B[38;5;241m-\u001B[39m\u001B[38;5;241m1\u001B[39m, \u001B[38;5;124m'\u001B[39m\u001B[38;5;124mname\u001B[39m\u001B[38;5;124m'\u001B[39m] \u001B[38;5;241m=\u001B[39m \u001B[38;5;124m'\u001B[39m\u001B[38;5;124mGlobal\u001B[39m\u001B[38;5;124m'\u001B[39m\n\u001B[1;32m--> 130\u001B[0m agg_df\u001B[38;5;241m.\u001B[39mloc[\u001B[38;5;241m-\u001B[39m\u001B[38;5;241m1\u001B[39m, \u001B[38;5;241m1\u001B[39m:] \u001B[38;5;241m=\u001B[39m agg_df\u001B[38;5;241m.\u001B[39msum(numeric_only\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mTrue\u001B[39;00m)\n\u001B[0;32m 131\u001B[0m agg_df\u001B[38;5;241m.\u001B[39mindex \u001B[38;5;241m=\u001B[39m agg_df\u001B[38;5;241m.\u001B[39mindex \u001B[38;5;241m+\u001B[39m \u001B[38;5;241m1\u001B[39m\n\u001B[0;32m 132\u001B[0m agg_df \u001B[38;5;241m=\u001B[39m agg_df\u001B[38;5;241m.\u001B[39msort_index()\n", - "File \u001B[1;32m~\\AppData\\Local\\miniconda3\\envs\\xanthos\\Lib\\site-packages\\pandas\\core\\indexing.py:845\u001B[0m, in \u001B[0;36m_LocationIndexer.__setitem__\u001B[1;34m(self, key, value)\u001B[0m\n\u001B[0;32m 843\u001B[0m \u001B[38;5;28;01melse\u001B[39;00m:\n\u001B[0;32m 844\u001B[0m key \u001B[38;5;241m=\u001B[39m com\u001B[38;5;241m.\u001B[39mapply_if_callable(key, \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mobj)\n\u001B[1;32m--> 845\u001B[0m indexer \u001B[38;5;241m=\u001B[39m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_get_setitem_indexer(key)\n\u001B[0;32m 846\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_has_valid_setitem_indexer(key)\n\u001B[0;32m 848\u001B[0m iloc \u001B[38;5;241m=\u001B[39m \u001B[38;5;28mself\u001B[39m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mname \u001B[38;5;241m==\u001B[39m \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124miloc\u001B[39m\u001B[38;5;124m\"\u001B[39m \u001B[38;5;28;01melse\u001B[39;00m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mobj\u001B[38;5;241m.\u001B[39miloc\n", - "File \u001B[1;32m~\\AppData\\Local\\miniconda3\\envs\\xanthos\\Lib\\site-packages\\pandas\\core\\indexing.py:710\u001B[0m, in \u001B[0;36m_LocationIndexer._get_setitem_indexer\u001B[1;34m(self, key)\u001B[0m\n\u001B[0;32m 707\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28misinstance\u001B[39m(key, \u001B[38;5;28mtuple\u001B[39m):\n\u001B[0;32m 708\u001B[0m \u001B[38;5;28;01mwith\u001B[39;00m suppress(IndexingError):\n\u001B[0;32m 709\u001B[0m \u001B[38;5;66;03m# suppress \"Too many indexers\"\u001B[39;00m\n\u001B[1;32m--> 710\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_convert_tuple(key)\n\u001B[0;32m 712\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28misinstance\u001B[39m(key, \u001B[38;5;28mrange\u001B[39m):\n\u001B[0;32m 713\u001B[0m \u001B[38;5;66;03m# GH#45479 test_loc_setitem_range_key\u001B[39;00m\n\u001B[0;32m 714\u001B[0m key \u001B[38;5;241m=\u001B[39m \u001B[38;5;28mlist\u001B[39m(key)\n", - "File \u001B[1;32m~\\AppData\\Local\\miniconda3\\envs\\xanthos\\Lib\\site-packages\\pandas\\core\\indexing.py:927\u001B[0m, in \u001B[0;36m_LocationIndexer._convert_tuple\u001B[1;34m(self, key)\u001B[0m\n\u001B[0;32m 923\u001B[0m \u001B[38;5;129m@final\u001B[39m\n\u001B[0;32m 924\u001B[0m \u001B[38;5;28;01mdef\u001B[39;00m \u001B[38;5;21m_convert_tuple\u001B[39m(\u001B[38;5;28mself\u001B[39m, key: \u001B[38;5;28mtuple\u001B[39m) \u001B[38;5;241m-\u001B[39m\u001B[38;5;241m>\u001B[39m \u001B[38;5;28mtuple\u001B[39m:\n\u001B[0;32m 925\u001B[0m \u001B[38;5;66;03m# Note: we assume _tupleize_axis_indexer has been called, if necessary.\u001B[39;00m\n\u001B[0;32m 926\u001B[0m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_validate_key_length(key)\n\u001B[1;32m--> 927\u001B[0m keyidx \u001B[38;5;241m=\u001B[39m [\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39m_convert_to_indexer(k, axis\u001B[38;5;241m=\u001B[39mi) \u001B[38;5;28;01mfor\u001B[39;00m i, k \u001B[38;5;129;01min\u001B[39;00m \u001B[38;5;28menumerate\u001B[39m(key)]\n\u001B[0;32m 928\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28mtuple\u001B[39m(keyidx)\n", - "File \u001B[1;32m~\\AppData\\Local\\miniconda3\\envs\\xanthos\\Lib\\site-packages\\pandas\\core\\indexing.py:1382\u001B[0m, in \u001B[0;36m_LocIndexer._convert_to_indexer\u001B[1;34m(self, key, axis)\u001B[0m\n\u001B[0;32m 1379\u001B[0m labels \u001B[38;5;241m=\u001B[39m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mobj\u001B[38;5;241m.\u001B[39m_get_axis(axis)\n\u001B[0;32m 1381\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m \u001B[38;5;28misinstance\u001B[39m(key, \u001B[38;5;28mslice\u001B[39m):\n\u001B[1;32m-> 1382\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m labels\u001B[38;5;241m.\u001B[39m_convert_slice_indexer(key, kind\u001B[38;5;241m=\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mloc\u001B[39m\u001B[38;5;124m\"\u001B[39m)\n\u001B[0;32m 1384\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m (\n\u001B[0;32m 1385\u001B[0m \u001B[38;5;28misinstance\u001B[39m(key, \u001B[38;5;28mtuple\u001B[39m)\n\u001B[0;32m 1386\u001B[0m \u001B[38;5;129;01mand\u001B[39;00m \u001B[38;5;129;01mnot\u001B[39;00m \u001B[38;5;28misinstance\u001B[39m(labels, MultiIndex)\n\u001B[0;32m 1387\u001B[0m \u001B[38;5;129;01mand\u001B[39;00m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mndim \u001B[38;5;241m<\u001B[39m \u001B[38;5;241m2\u001B[39m\n\u001B[0;32m 1388\u001B[0m \u001B[38;5;129;01mand\u001B[39;00m \u001B[38;5;28mlen\u001B[39m(key) \u001B[38;5;241m>\u001B[39m \u001B[38;5;241m1\u001B[39m\n\u001B[0;32m 1389\u001B[0m ):\n\u001B[0;32m 1390\u001B[0m \u001B[38;5;28;01mraise\u001B[39;00m IndexingError(\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mToo many indexers\u001B[39m\u001B[38;5;124m\"\u001B[39m)\n", - "File \u001B[1;32m~\\AppData\\Local\\miniconda3\\envs\\xanthos\\Lib\\site-packages\\pandas\\core\\indexes\\base.py:4126\u001B[0m, in \u001B[0;36mIndex._convert_slice_indexer\u001B[1;34m(self, key, kind)\u001B[0m\n\u001B[0;32m 4123\u001B[0m \u001B[38;5;28;01melif\u001B[39;00m is_positional:\n\u001B[0;32m 4124\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m kind \u001B[38;5;241m==\u001B[39m \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mloc\u001B[39m\u001B[38;5;124m\"\u001B[39m:\n\u001B[0;32m 4125\u001B[0m \u001B[38;5;66;03m# GH#16121, GH#24612, GH#31810\u001B[39;00m\n\u001B[1;32m-> 4126\u001B[0m \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mTypeError\u001B[39;00m(\n\u001B[0;32m 4127\u001B[0m \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mSlicing a positional slice with .loc is not allowed, \u001B[39m\u001B[38;5;124m\"\u001B[39m\n\u001B[0;32m 4128\u001B[0m \u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mUse .loc with labels or .iloc with positions instead.\u001B[39m\u001B[38;5;124m\"\u001B[39m,\n\u001B[0;32m 4129\u001B[0m )\n\u001B[0;32m 4130\u001B[0m indexer \u001B[38;5;241m=\u001B[39m key\n\u001B[0;32m 4131\u001B[0m \u001B[38;5;28;01melse\u001B[39;00m:\n", - "\u001B[1;31mTypeError\u001B[0m: Slicing a positional slice with .loc is not allowed, Use .loc with labels or .iloc with positions instead." + "INFO: ---Hydropower Actual has finished successfully: 44.70871639251709 seconds ------\n", + "INFO: ---Start Diagnostics:\n", + "INFO: ---Diagnostics has finished successfully: 0.309828519821167 seconds ------\n", + "INFO: ---Output simulation results:\n", + "DEBUG: Outputting data annually\n", + "DEBUG: Unit is km3peryear\n", + "DEBUG: pet output dimension is (67420, 31)\n", + "DEBUG: aet output dimension is (67420, 31)\n", + "DEBUG: q output dimension is (67420, 31)\n", + "DEBUG: soilmoisture output dimension is (67420, 31)\n", + "DEBUG: avgchflow output dimension is (67420, 31)\n", + "INFO: Aggregating by Basin\n", + "INFO: Aggregating by Country\n", + "INFO: Aggregating by GCAM Region\n", + "INFO: Aggregated unit is km3peryear\n", + "INFO: ---Output finished: 18.99467396736145 seconds ---\n", + "INFO: End of pm_abcd_mrtm_watch_1971_2001\n" ] } ], @@ -1095,7 +1087,7 @@ } }, "source": [ - "User can use any `Xantho` module individually by providing required input. The following example shows how to calculate accessible water using the `AccessibleWater` module. `AccessibleWater` module requires three inputs: \n", + "User can use any `Xanthos` module individually by providing required input. The following example shows how to calculate accessible water using the `AccessibleWater` module. `AccessibleWater` module requires three inputs: \n", "1. Configuration object: use xanthos module `ConfigReader` to load\n", "2. Loaded data object: use xanthos module `DataLoader` to load\n", "3. Monthly runoff in each grid cell\n", @@ -1107,9 +1099,28 @@ }, { "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], + "execution_count": 7, + "metadata": { + "ExecuteTime": { + "end_time": "2024-07-23T19:49:50.513494200Z", + "start_time": "2024-07-23T19:49:49.713354200Z" + } + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[0.23729078 0.71997664 0.45756271 ... 0.79573858 0.29277064 0.9525083 ]\n", + " [0.32170624 0.49582591 0.34552159 ... 0.73339921 0.12001792 0.59031343]\n", + " [0.01633928 0.15829089 0.43590904 ... 0.95639094 0.27692173 0.21690385]\n", + " ...\n", + " [0.88268806 0.82792796 0.37548677 ... 0.3336255 0.47045483 0.40491021]\n", + " [0.72703159 0.24711897 0.25971312 ... 0.38736996 0.31333512 0.36965065]\n", + " [0.38352199 0.10856003 0.16274492 ... 0.19349333 0.17382684 0.95832028]]\n" + ] + } + ], "source": [ "import numpy as np\n", "\n", @@ -1126,13 +1137,26 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 8, "metadata": { "pycharm": { "name": "#%%\n" + }, + "ExecuteTime": { + "end_time": "2024-07-23T19:50:02.052008500Z", + "start_time": "2024-07-23T19:49:52.739249300Z" } }, - "outputs": [], + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "C:\\Users\\knig694\\AppData\\Local\\miniconda3\\envs\\xanthos\\Lib\\site-packages\\xanthos\\data_reader\\data_load.py:359: UserWarning: Reading `.npy` or `.npz` file required additional header parsing as it was created on Python 2. Save the file again to speed up loading and avoid this warning.\n", + " data = np.load(fn)\n" + ] + } + ], "source": [ "from xanthos import ConfigReader\n", "from xanthos.data_reader.data_load import DataLoader\n", @@ -1200,10 +1224,14 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 9, "metadata": { "pycharm": { "name": "#%%\n" + }, + "ExecuteTime": { + "end_time": "2024-07-23T19:50:20.617303900Z", + "start_time": "2024-07-23T19:50:18.752328200Z" } }, "outputs": [], @@ -1460,10 +1488,14 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 10, "metadata": { "pycharm": { "name": "#%%\n" + }, + "ExecuteTime": { + "end_time": "2024-07-23T19:50:26.859013700Z", + "start_time": "2024-07-23T19:50:25.834109800Z" } }, "outputs": [], @@ -1518,13 +1550,33 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 11, "metadata": { "pycharm": { "name": "#%%\n" + }, + "ExecuteTime": { + "end_time": "2024-07-23T19:50:27.825400Z", + "start_time": "2024-07-23T19:50:27.775959200Z" } }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(67420, 372)\n" + ] + }, + { + "data": { + "text/plain": "array([[-18.89531555, -21.55454102, -20.30705872, ..., -5.4663147 ,\n -12.67459717, -17.27277222],\n [-19.6915802 , -22.49143066, -21.08751526, ..., -5.88968506,\n -13.20639648, -17.82964172],\n [-21.00528564, -24.10410156, -23.00447693, ..., -7.36795654,\n -14.70386353, -19.22087708],\n [-21.81871643, -25.10942688, -23.81903687, ..., -7.96378174,\n -15.2135376 , -19.83913269]])" + }, + "execution_count": 11, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# input climate data format requirement 2D array [67420 grid cells, year-month, ...]\n", "print(tas.shape)\n", @@ -1533,13 +1585,40 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 12, "metadata": { "pycharm": { "name": "#%%\n" + }, + "ExecuteTime": { + "end_time": "2024-07-23T19:50:31.326960300Z", + "start_time": "2024-07-23T19:50:28.333538900Z" } }, - "outputs": [], + "outputs": [ + { + "ename": "OSError", + "evalue": "'seaborn-white' is not a valid package style, path of style file, URL of style file, or library style name (library styles are listed in `style.available`)", + "output_type": "error", + "traceback": [ + "\u001B[1;31m---------------------------------------------------------------------------\u001B[0m", + "\u001B[1;31mFileNotFoundError\u001B[0m Traceback (most recent call last)", + "File \u001B[1;32m~\\AppData\\Local\\miniconda3\\envs\\xanthos\\Lib\\site-packages\\matplotlib\\style\\core.py:137\u001B[0m, in \u001B[0;36muse\u001B[1;34m(style)\u001B[0m\n\u001B[0;32m 136\u001B[0m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[1;32m--> 137\u001B[0m style \u001B[38;5;241m=\u001B[39m _rc_params_in_file(style)\n\u001B[0;32m 138\u001B[0m \u001B[38;5;28;01mexcept\u001B[39;00m \u001B[38;5;167;01mOSError\u001B[39;00m \u001B[38;5;28;01mas\u001B[39;00m err:\n", + "File \u001B[1;32m~\\AppData\\Local\\miniconda3\\envs\\xanthos\\Lib\\site-packages\\matplotlib\\__init__.py:866\u001B[0m, in \u001B[0;36m_rc_params_in_file\u001B[1;34m(fname, transform, fail_on_error)\u001B[0m\n\u001B[0;32m 865\u001B[0m rc_temp \u001B[38;5;241m=\u001B[39m {}\n\u001B[1;32m--> 866\u001B[0m \u001B[38;5;28;01mwith\u001B[39;00m _open_file_or_url(fname) \u001B[38;5;28;01mas\u001B[39;00m fd:\n\u001B[0;32m 867\u001B[0m \u001B[38;5;28;01mtry\u001B[39;00m:\n", + "File \u001B[1;32m~\\AppData\\Local\\miniconda3\\envs\\xanthos\\Lib\\contextlib.py:137\u001B[0m, in \u001B[0;36m_GeneratorContextManager.__enter__\u001B[1;34m(self)\u001B[0m\n\u001B[0;32m 136\u001B[0m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[1;32m--> 137\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28mnext\u001B[39m(\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mgen)\n\u001B[0;32m 138\u001B[0m \u001B[38;5;28;01mexcept\u001B[39;00m \u001B[38;5;167;01mStopIteration\u001B[39;00m:\n", + "File \u001B[1;32m~\\AppData\\Local\\miniconda3\\envs\\xanthos\\Lib\\site-packages\\matplotlib\\__init__.py:843\u001B[0m, in \u001B[0;36m_open_file_or_url\u001B[1;34m(fname)\u001B[0m\n\u001B[0;32m 842\u001B[0m fname \u001B[38;5;241m=\u001B[39m os\u001B[38;5;241m.\u001B[39mpath\u001B[38;5;241m.\u001B[39mexpanduser(fname)\n\u001B[1;32m--> 843\u001B[0m \u001B[38;5;28;01mwith\u001B[39;00m \u001B[38;5;28mopen\u001B[39m(fname, encoding\u001B[38;5;241m=\u001B[39m\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mutf-8\u001B[39m\u001B[38;5;124m'\u001B[39m) \u001B[38;5;28;01mas\u001B[39;00m f:\n\u001B[0;32m 844\u001B[0m \u001B[38;5;28;01myield\u001B[39;00m f\n", + "\u001B[1;31mFileNotFoundError\u001B[0m: [Errno 2] No such file or directory: 'seaborn-white'", + "\nThe above exception was the direct cause of the following exception:\n", + "\u001B[1;31mOSError\u001B[0m Traceback (most recent call last)", + "Cell \u001B[1;32mIn[12], line 3\u001B[0m\n\u001B[0;32m 1\u001B[0m \u001B[38;5;66;03m# input climate data time series\u001B[39;00m\n\u001B[0;32m 2\u001B[0m dfx \u001B[38;5;241m=\u001B[39m arr_to_df(arr\u001B[38;5;241m=\u001B[39mtas, stat\u001B[38;5;241m=\u001B[39m\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mmean\u001B[39m\u001B[38;5;124m'\u001B[39m)\n\u001B[1;32m----> 3\u001B[0m plot_single_line(dfx\u001B[38;5;241m=\u001B[39mdfx,\n\u001B[0;32m 4\u001B[0m title\u001B[38;5;241m=\u001B[39m\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mGlobal Mean Temperature\u001B[39m\u001B[38;5;124m'\u001B[39m,\n\u001B[0;32m 5\u001B[0m y_label\u001B[38;5;241m=\u001B[39m\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mDegree C\u001B[39m\u001B[38;5;124m'\u001B[39m)\n", + "Cell \u001B[1;32mIn[9], line 153\u001B[0m, in \u001B[0;36mplot_single_line\u001B[1;34m(dfx, title, x_label, y_label)\u001B[0m\n\u001B[0;32m 143\u001B[0m \u001B[38;5;250m\u001B[39m\u001B[38;5;124;03m\"\"\"\u001B[39;00m\n\u001B[0;32m 144\u001B[0m \u001B[38;5;124;03mPlot a single time series.\u001B[39;00m\n\u001B[0;32m 145\u001B[0m \n\u001B[1;32m (...)\u001B[0m\n\u001B[0;32m 149\u001B[0m \u001B[38;5;124;03m:param y_label: string for y axis label\u001B[39;00m\n\u001B[0;32m 150\u001B[0m \u001B[38;5;124;03m\"\"\"\u001B[39;00m\n\u001B[0;32m 152\u001B[0m \u001B[38;5;66;03m# plt.figure()\u001B[39;00m\n\u001B[1;32m--> 153\u001B[0m \u001B[38;5;28;01mwith\u001B[39;00m plt\u001B[38;5;241m.\u001B[39mstyle\u001B[38;5;241m.\u001B[39mcontext(\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mseaborn-white\u001B[39m\u001B[38;5;124m\"\u001B[39m):\n\u001B[0;32m 154\u001B[0m fig, ax \u001B[38;5;241m=\u001B[39m plt\u001B[38;5;241m.\u001B[39msubplots(figsize\u001B[38;5;241m=\u001B[39m(\u001B[38;5;241m16\u001B[39m, \u001B[38;5;241m8\u001B[39m), constrained_layout\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mFalse\u001B[39;00m)\n\u001B[0;32m 155\u001B[0m dfx\u001B[38;5;241m.\u001B[39mplot(kind\u001B[38;5;241m=\u001B[39m\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mline\u001B[39m\u001B[38;5;124m'\u001B[39m, legend\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mFalse\u001B[39;00m, title\u001B[38;5;241m=\u001B[39mtitle, colormap\u001B[38;5;241m=\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mcubehelix\u001B[39m\u001B[38;5;124m\"\u001B[39m, ax\u001B[38;5;241m=\u001B[39max)\n", + "File \u001B[1;32m~\\AppData\\Local\\miniconda3\\envs\\xanthos\\Lib\\contextlib.py:137\u001B[0m, in \u001B[0;36m_GeneratorContextManager.__enter__\u001B[1;34m(self)\u001B[0m\n\u001B[0;32m 135\u001B[0m \u001B[38;5;28;01mdel\u001B[39;00m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39margs, \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mkwds, \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mfunc\n\u001B[0;32m 136\u001B[0m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[1;32m--> 137\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28mnext\u001B[39m(\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mgen)\n\u001B[0;32m 138\u001B[0m \u001B[38;5;28;01mexcept\u001B[39;00m \u001B[38;5;167;01mStopIteration\u001B[39;00m:\n\u001B[0;32m 139\u001B[0m \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mRuntimeError\u001B[39;00m(\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mgenerator didn\u001B[39m\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mt yield\u001B[39m\u001B[38;5;124m\"\u001B[39m) \u001B[38;5;28;01mfrom\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m\n", + "File \u001B[1;32m~\\AppData\\Local\\miniconda3\\envs\\xanthos\\Lib\\site-packages\\matplotlib\\style\\core.py:194\u001B[0m, in \u001B[0;36mcontext\u001B[1;34m(style, after_reset)\u001B[0m\n\u001B[0;32m 192\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m after_reset:\n\u001B[0;32m 193\u001B[0m mpl\u001B[38;5;241m.\u001B[39mrcdefaults()\n\u001B[1;32m--> 194\u001B[0m use(style)\n\u001B[0;32m 195\u001B[0m \u001B[38;5;28;01myield\u001B[39;00m\n", + "File \u001B[1;32m~\\AppData\\Local\\miniconda3\\envs\\xanthos\\Lib\\site-packages\\matplotlib\\style\\core.py:139\u001B[0m, in \u001B[0;36muse\u001B[1;34m(style)\u001B[0m\n\u001B[0;32m 137\u001B[0m style \u001B[38;5;241m=\u001B[39m _rc_params_in_file(style)\n\u001B[0;32m 138\u001B[0m \u001B[38;5;28;01mexcept\u001B[39;00m \u001B[38;5;167;01mOSError\u001B[39;00m \u001B[38;5;28;01mas\u001B[39;00m err:\n\u001B[1;32m--> 139\u001B[0m \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mOSError\u001B[39;00m(\n\u001B[0;32m 140\u001B[0m \u001B[38;5;124mf\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;132;01m{\u001B[39;00mstyle\u001B[38;5;132;01m!r}\u001B[39;00m\u001B[38;5;124m is not a valid package style, path of style \u001B[39m\u001B[38;5;124m\"\u001B[39m\n\u001B[0;32m 141\u001B[0m \u001B[38;5;124mf\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mfile, URL of style file, or library style name (library \u001B[39m\u001B[38;5;124m\"\u001B[39m\n\u001B[0;32m 142\u001B[0m \u001B[38;5;124mf\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mstyles are listed in `style.available`)\u001B[39m\u001B[38;5;124m\"\u001B[39m) \u001B[38;5;28;01mfrom\u001B[39;00m \u001B[38;5;21;01merr\u001B[39;00m\n\u001B[0;32m 143\u001B[0m filtered \u001B[38;5;241m=\u001B[39m {}\n\u001B[0;32m 144\u001B[0m \u001B[38;5;28;01mfor\u001B[39;00m k \u001B[38;5;129;01min\u001B[39;00m style: \u001B[38;5;66;03m# don't trigger RcParams.__getitem__('backend')\u001B[39;00m\n", + "\u001B[1;31mOSError\u001B[0m: 'seaborn-white' is not a valid package style, path of style file, URL of style file, or library style name (library styles are listed in `style.available`)" + ] + } + ], "source": [ "# input climate data time series\n", "dfx = arr_to_df(arr=tas, stat='mean')\n", @@ -1554,6 +1633,10 @@ "metadata": { "pycharm": { "name": "#%%\n" + }, + "ExecuteTime": { + "end_time": "2024-07-23T19:50:31.360699Z", + "start_time": "2024-07-23T19:50:31.332862900Z" } }, "outputs": [], @@ -1571,6 +1654,9 @@ "metadata": { "pycharm": { "name": "#%%\n" + }, + "ExecuteTime": { + "start_time": "2024-07-23T19:50:31.336735200Z" } }, "outputs": [], @@ -1603,13 +1689,34 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 13, "metadata": { "pycharm": { "name": "#%%\n" + }, + "ExecuteTime": { + "end_time": "2024-07-23T19:50:31.928230400Z", + "start_time": "2024-07-23T19:50:31.829270600Z" } }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The output is in the unit of km3peryear\n" + ] + }, + { + "data": { + "text/plain": " id 1971 1972 1973 1974 1975 1976 \\\n0 1 3.499196 3.760416 3.766999 3.724275 3.745087 3.712290 \n1 2 0.157544 0.200485 0.193464 0.137926 0.126463 0.127689 \n2 3 0.184983 0.263882 0.258217 0.182754 0.203782 0.204118 \n3 4 0.184133 0.271089 0.266833 0.192981 0.213800 0.222940 \n4 5 0.200232 0.237005 0.283622 0.205184 0.211821 0.224929 \n... ... ... ... ... ... ... ... \n67415 67416 0.276856 0.230575 0.319425 0.230290 0.216269 0.233404 \n67416 67417 0.333894 0.231086 0.314473 0.217021 0.203969 0.206759 \n67417 67418 0.362545 0.223098 0.306808 0.200619 0.195623 0.180217 \n67418 67419 0.087033 0.077437 0.072118 0.067343 0.061348 0.056464 \n67419 67420 0.086055 0.077431 0.083825 0.073113 0.068327 0.061251 \n\n 1977 1978 1979 ... 1992 1993 1994 \\\n0 3.690238 3.742392 3.716898 ... 3.843989 3.821417 3.761283 \n1 0.204124 0.189099 0.211875 ... 0.292241 0.284102 0.264102 \n2 0.326984 0.254326 0.284734 ... 0.469218 0.403013 0.397171 \n3 0.353349 0.247773 0.286880 ... 0.532720 0.430720 0.424207 \n4 0.347473 0.297400 0.290753 ... 0.421585 0.374972 0.399300 \n... ... ... ... ... ... ... ... \n67415 0.345167 0.368692 0.344930 ... 0.312442 0.325180 0.325299 \n67416 0.319439 0.360415 0.371743 ... 0.239296 0.263845 0.248965 \n67417 0.301064 0.349075 0.381330 ... 0.197147 0.225100 0.199643 \n67418 0.052715 0.056154 0.045560 ... 0.016711 0.015452 0.014502 \n67419 0.069717 0.074754 0.051832 ... 0.028929 0.029637 0.028621 \n\n 1995 1996 1997 1998 1999 2000 2001 \n0 3.817701 3.832962 3.805191 3.765942 3.946684 3.925090 3.846125 \n1 0.241170 0.436688 0.361689 0.449874 0.284137 0.351251 0.305943 \n2 0.346177 0.615426 0.515592 0.569435 0.396938 0.458813 0.400961 \n3 0.357292 0.682819 0.556121 0.552876 0.409109 0.458233 0.393148 \n4 0.348260 0.645637 0.534486 0.490197 0.395247 0.447426 0.388745 \n... ... ... ... ... ... ... ... \n67415 0.308772 0.445227 0.457679 0.381021 0.341855 0.388078 0.360437 \n67416 0.245447 0.308560 0.375105 0.318961 0.268726 0.317965 0.303970 \n67417 0.203029 0.223627 0.319138 0.276843 0.215057 0.273210 0.269356 \n67418 0.015947 0.013887 0.013692 0.021735 0.011097 0.010065 0.009489 \n67419 0.041677 0.037166 0.043611 0.049997 0.021938 0.019615 0.019289 \n\n[67420 rows x 32 columns]", + "text/html": "
\n\n\n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n \n
id197119721973197419751976197719781979...1992199319941995199619971998199920002001
013.4991963.7604163.7669993.7242753.7450873.7122903.6902383.7423923.716898...3.8439893.8214173.7612833.8177013.8329623.8051913.7659423.9466843.9250903.846125
120.1575440.2004850.1934640.1379260.1264630.1276890.2041240.1890990.211875...0.2922410.2841020.2641020.2411700.4366880.3616890.4498740.2841370.3512510.305943
230.1849830.2638820.2582170.1827540.2037820.2041180.3269840.2543260.284734...0.4692180.4030130.3971710.3461770.6154260.5155920.5694350.3969380.4588130.400961
340.1841330.2710890.2668330.1929810.2138000.2229400.3533490.2477730.286880...0.5327200.4307200.4242070.3572920.6828190.5561210.5528760.4091090.4582330.393148
450.2002320.2370050.2836220.2051840.2118210.2249290.3474730.2974000.290753...0.4215850.3749720.3993000.3482600.6456370.5344860.4901970.3952470.4474260.388745
..................................................................
67415674160.2768560.2305750.3194250.2302900.2162690.2334040.3451670.3686920.344930...0.3124420.3251800.3252990.3087720.4452270.4576790.3810210.3418550.3880780.360437
67416674170.3338940.2310860.3144730.2170210.2039690.2067590.3194390.3604150.371743...0.2392960.2638450.2489650.2454470.3085600.3751050.3189610.2687260.3179650.303970
67417674180.3625450.2230980.3068080.2006190.1956230.1802170.3010640.3490750.381330...0.1971470.2251000.1996430.2030290.2236270.3191380.2768430.2150570.2732100.269356
67418674190.0870330.0774370.0721180.0673430.0613480.0564640.0527150.0561540.045560...0.0167110.0154520.0145020.0159470.0138870.0136920.0217350.0110970.0100650.009489
67419674200.0860550.0774310.0838250.0731130.0683270.0612510.0697170.0747540.051832...0.0289290.0296370.0286210.0416770.0371660.0436110.0499970.0219380.0196150.019289
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67420 rows × 32 columns

\n
" + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# runoff at xanthos grid cells (67420 cells)\n", "print('The output is in the unit of', config.OutputUnitStr)\n", @@ -1618,13 +1725,34 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 14, "metadata": { "pycharm": { "name": "#%%\n" + }, + "ExecuteTime": { + "end_time": "2024-07-23T19:50:33.153594900Z", + "start_time": "2024-07-23T19:50:32.971774Z" } }, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "The output is in the unit of km3peryear\n" + ] + }, + { + "data": { + "text/plain": " id name 1971 1972 1973 \\\n0 1 Arctic Ocean Islands 1145.443069 1492.093804 1341.364639 \n1 2 Northwest Territories 469.631837 447.138534 493.543565 \n2 3 Siberia North Coast 223.945993 187.136077 229.684111 \n3 4 Siberia West Coast 573.950826 687.219762 671.607608 \n4 5 Kara Sea Coast 207.648901 186.920652 188.909038 \n.. ... ... ... ... ... \n230 231 Rio Grande River Basin 44.405257 44.556657 53.256264 \n231 232 New England Basin 197.621204 230.945894 228.404529 \n232 233 Mid Atlantic Basin 94.360120 121.093517 100.414981 \n233 234 Hawaii 90.403138 77.594370 66.516706 \n234 235 Narmada 61.144840 45.171273 92.011860 \n\n 1974 1975 1976 1977 1978 ... \\\n0 1283.306010 1309.683258 1554.225743 1292.289969 1327.371862 ... \n1 482.018603 491.983189 498.414040 530.325685 504.877059 ... \n2 224.855858 201.784275 194.420405 187.759836 166.803275 ... \n3 583.058739 608.450929 589.507306 679.343756 688.283673 ... \n4 164.723636 209.486800 165.103240 178.278467 210.304230 ... \n.. ... ... ... ... ... ... \n230 51.244645 43.600788 50.194872 35.516325 56.910455 ... \n231 212.221180 219.280223 226.989342 233.455606 207.845080 ... \n232 92.973803 115.326554 97.045582 103.381721 105.590279 ... \n233 93.649276 86.486023 78.496287 69.912493 84.934176 ... \n234 44.935243 64.526522 59.572589 66.228176 64.804183 ... \n\n 1992 1993 1994 1995 1996 \\\n0 1356.734930 1283.146873 1105.302948 1025.685607 1411.992644 \n1 587.163087 582.698290 606.134769 671.532510 663.248651 \n2 211.759195 212.053449 186.432140 220.133729 195.835677 \n3 606.992752 564.961654 660.606833 634.878320 773.765837 \n4 222.135195 211.970378 177.499458 224.490936 196.564751 \n.. ... ... ... ... ... \n230 55.004094 40.182020 31.831690 33.789996 35.450004 \n231 206.401141 217.257088 215.243915 208.941643 237.527955 \n232 106.948161 118.389437 120.473958 104.168004 146.788234 \n233 71.548693 60.613099 96.407296 60.833836 66.526985 \n234 35.549612 48.900342 74.924598 47.474215 44.530489 \n\n 1997 1998 1999 2000 2001 \n0 1349.929359 1209.309484 1215.290811 1328.376808 1260.970057 \n1 651.753698 646.523186 650.577042 659.182835 678.125821 \n2 187.776636 178.747630 227.802098 187.472609 182.356354 \n3 692.618981 661.542572 677.126880 680.739008 673.986572 \n4 198.169245 215.550297 212.244437 184.431571 222.321162 \n.. ... ... ... ... ... \n230 46.154355 37.325743 34.568666 31.458995 31.634092 \n231 207.858317 220.956140 218.375845 219.229009 188.477995 \n232 109.409213 126.943563 109.572289 121.343027 104.509961 \n233 84.758768 35.183624 65.133219 60.502970 53.162302 \n234 53.208262 53.958317 61.340541 34.424744 39.168144 \n\n[235 rows x 33 columns]", + "text/html": "
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idname19711972197319741975197619771978...1992199319941995199619971998199920002001
01Arctic Ocean Islands1145.4430691492.0938041341.3646391283.3060101309.6832581554.2257431292.2899691327.371862...1356.7349301283.1468731105.3029481025.6856071411.9926441349.9293591209.3094841215.2908111328.3768081260.970057
12Northwest Territories469.631837447.138534493.543565482.018603491.983189498.414040530.325685504.877059...587.163087582.698290606.134769671.532510663.248651651.753698646.523186650.577042659.182835678.125821
23Siberia North Coast223.945993187.136077229.684111224.855858201.784275194.420405187.759836166.803275...211.759195212.053449186.432140220.133729195.835677187.776636178.747630227.802098187.472609182.356354
34Siberia West Coast573.950826687.219762671.607608583.058739608.450929589.507306679.343756688.283673...606.992752564.961654660.606833634.878320773.765837692.618981661.542572677.126880680.739008673.986572
45Kara Sea Coast207.648901186.920652188.909038164.723636209.486800165.103240178.278467210.304230...222.135195211.970378177.499458224.490936196.564751198.169245215.550297212.244437184.431571222.321162
..................................................................
230231Rio Grande River Basin44.40525744.55665753.25626451.24464543.60078850.19487235.51632556.910455...55.00409440.18202031.83169033.78999635.45000446.15435537.32574334.56866631.45899531.634092
231232New England Basin197.621204230.945894228.404529212.221180219.280223226.989342233.455606207.845080...206.401141217.257088215.243915208.941643237.527955207.858317220.956140218.375845219.229009188.477995
232233Mid Atlantic Basin94.360120121.093517100.41498192.973803115.32655497.045582103.381721105.590279...106.948161118.389437120.473958104.168004146.788234109.409213126.943563109.572289121.343027104.509961
233234Hawaii90.40313877.59437066.51670693.64927686.48602378.49628769.91249384.934176...71.54869360.61309996.40729660.83383666.52698584.75876835.18362465.13321960.50297053.162302
234235Narmada61.14484045.17127392.01186044.93524364.52652259.57258966.22817664.804183...35.54961248.90034274.92459847.47421544.53048953.20826253.95831761.34054134.42474439.168144
\n

235 rows × 33 columns

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" + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + } + ], "source": [ "# runoff at basin scale (235 basins)\n", "print('The output is in the unit of', config.OutputUnitStr)\n", @@ -1644,13 +1772,40 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 15, "metadata": { "pycharm": { "name": "#%%\n" + }, + "ExecuteTime": { + "end_time": "2024-07-23T19:50:35.294164800Z", + "start_time": "2024-07-23T19:50:35.148561800Z" } }, - "outputs": [], + "outputs": [ + { + "ename": "OSError", + "evalue": "'seaborn-white' is not a valid package style, path of style file, URL of style file, or library style name (library styles are listed in `style.available`)", + "output_type": "error", + "traceback": [ + "\u001B[1;31m---------------------------------------------------------------------------\u001B[0m", + "\u001B[1;31mFileNotFoundError\u001B[0m Traceback (most recent call last)", + "File \u001B[1;32m~\\AppData\\Local\\miniconda3\\envs\\xanthos\\Lib\\site-packages\\matplotlib\\style\\core.py:137\u001B[0m, in \u001B[0;36muse\u001B[1;34m(style)\u001B[0m\n\u001B[0;32m 136\u001B[0m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[1;32m--> 137\u001B[0m style \u001B[38;5;241m=\u001B[39m _rc_params_in_file(style)\n\u001B[0;32m 138\u001B[0m \u001B[38;5;28;01mexcept\u001B[39;00m \u001B[38;5;167;01mOSError\u001B[39;00m \u001B[38;5;28;01mas\u001B[39;00m err:\n", + "File \u001B[1;32m~\\AppData\\Local\\miniconda3\\envs\\xanthos\\Lib\\site-packages\\matplotlib\\__init__.py:866\u001B[0m, in \u001B[0;36m_rc_params_in_file\u001B[1;34m(fname, transform, fail_on_error)\u001B[0m\n\u001B[0;32m 865\u001B[0m rc_temp \u001B[38;5;241m=\u001B[39m {}\n\u001B[1;32m--> 866\u001B[0m \u001B[38;5;28;01mwith\u001B[39;00m _open_file_or_url(fname) \u001B[38;5;28;01mas\u001B[39;00m fd:\n\u001B[0;32m 867\u001B[0m \u001B[38;5;28;01mtry\u001B[39;00m:\n", + "File \u001B[1;32m~\\AppData\\Local\\miniconda3\\envs\\xanthos\\Lib\\contextlib.py:137\u001B[0m, in \u001B[0;36m_GeneratorContextManager.__enter__\u001B[1;34m(self)\u001B[0m\n\u001B[0;32m 136\u001B[0m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[1;32m--> 137\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28mnext\u001B[39m(\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mgen)\n\u001B[0;32m 138\u001B[0m \u001B[38;5;28;01mexcept\u001B[39;00m \u001B[38;5;167;01mStopIteration\u001B[39;00m:\n", + "File \u001B[1;32m~\\AppData\\Local\\miniconda3\\envs\\xanthos\\Lib\\site-packages\\matplotlib\\__init__.py:843\u001B[0m, in \u001B[0;36m_open_file_or_url\u001B[1;34m(fname)\u001B[0m\n\u001B[0;32m 842\u001B[0m fname \u001B[38;5;241m=\u001B[39m os\u001B[38;5;241m.\u001B[39mpath\u001B[38;5;241m.\u001B[39mexpanduser(fname)\n\u001B[1;32m--> 843\u001B[0m \u001B[38;5;28;01mwith\u001B[39;00m \u001B[38;5;28mopen\u001B[39m(fname, encoding\u001B[38;5;241m=\u001B[39m\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mutf-8\u001B[39m\u001B[38;5;124m'\u001B[39m) \u001B[38;5;28;01mas\u001B[39;00m f:\n\u001B[0;32m 844\u001B[0m \u001B[38;5;28;01myield\u001B[39;00m f\n", + "\u001B[1;31mFileNotFoundError\u001B[0m: [Errno 2] No such file or directory: 'seaborn-white'", + "\nThe above exception was the direct cause of the following exception:\n", + "\u001B[1;31mOSError\u001B[0m Traceback (most recent call last)", + "Cell \u001B[1;32mIn[15], line 7\u001B[0m\n\u001B[0;32m 1\u001B[0m \u001B[38;5;66;03m# Compare time series of simulation and observation for an individual basin\u001B[39;00m\n\u001B[0;32m 2\u001B[0m df_plot \u001B[38;5;241m=\u001B[39m format_data(sim\u001B[38;5;241m=\u001B[39mrunoff_basin,\n\u001B[0;32m 3\u001B[0m obs\u001B[38;5;241m=\u001B[39mrunoff_obs,\n\u001B[0;32m 4\u001B[0m \u001B[38;5;28mid\u001B[39m\u001B[38;5;241m=\u001B[39m[\u001B[38;5;241m217\u001B[39m],\n\u001B[0;32m 5\u001B[0m from_yr\u001B[38;5;241m=\u001B[39m\u001B[38;5;241m1972\u001B[39m,\n\u001B[0;32m 6\u001B[0m through_yr\u001B[38;5;241m=\u001B[39m\u001B[38;5;241m2001\u001B[39m)\n\u001B[1;32m----> 7\u001B[0m plot_comparison(df_plot\u001B[38;5;241m=\u001B[39mdf_plot,\n\u001B[0;32m 8\u001B[0m y_label\u001B[38;5;241m=\u001B[39m\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mAnnual Runoff ($km^3$/year)\u001B[39m\u001B[38;5;124m'\u001B[39m)\n", + "Cell \u001B[1;32mIn[9], line 174\u001B[0m, in \u001B[0;36mplot_comparison\u001B[1;34m(df_plot, y_label)\u001B[0m\n\u001B[0;32m 171\u001B[0m title \u001B[38;5;241m=\u001B[39m \u001B[38;5;28mstr\u001B[39m(df_plot[\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mbasin_id\u001B[39m\u001B[38;5;124m'\u001B[39m]\u001B[38;5;241m.\u001B[39munique()[\u001B[38;5;241m0\u001B[39m]) \u001B[38;5;241m+\u001B[39m \u001B[38;5;124m'\u001B[39m\u001B[38;5;124m - \u001B[39m\u001B[38;5;124m'\u001B[39m \u001B[38;5;241m+\u001B[39m df_plot[\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mbasin_name\u001B[39m\u001B[38;5;124m'\u001B[39m]\u001B[38;5;241m.\u001B[39munique()[\u001B[38;5;241m0\u001B[39m]\n\u001B[0;32m 173\u001B[0m \u001B[38;5;66;03m# Plot\u001B[39;00m\n\u001B[1;32m--> 174\u001B[0m \u001B[38;5;28;01mwith\u001B[39;00m plt\u001B[38;5;241m.\u001B[39mstyle\u001B[38;5;241m.\u001B[39mcontext(\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mseaborn-white\u001B[39m\u001B[38;5;124m\"\u001B[39m):\n\u001B[0;32m 175\u001B[0m fig, ax \u001B[38;5;241m=\u001B[39m plt\u001B[38;5;241m.\u001B[39msubplots(figsize\u001B[38;5;241m=\u001B[39m(\u001B[38;5;241m10\u001B[39m, \u001B[38;5;241m6\u001B[39m), constrained_layout\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mFalse\u001B[39;00m)\n\u001B[0;32m 176\u001B[0m df_plot\u001B[38;5;241m.\u001B[39mplot(x \u001B[38;5;241m=\u001B[39m \u001B[38;5;124m'\u001B[39m\u001B[38;5;124mtime\u001B[39m\u001B[38;5;124m'\u001B[39m, y\u001B[38;5;241m=\u001B[39m[\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mobs\u001B[39m\u001B[38;5;124m'\u001B[39m, \u001B[38;5;124m'\u001B[39m\u001B[38;5;124msim\u001B[39m\u001B[38;5;124m'\u001B[39m], kind\u001B[38;5;241m=\u001B[39m\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mline\u001B[39m\u001B[38;5;124m'\u001B[39m, color\u001B[38;5;241m=\u001B[39m[\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mblack\u001B[39m\u001B[38;5;124m'\u001B[39m, \u001B[38;5;124m'\u001B[39m\u001B[38;5;124mdodgerblue\u001B[39m\u001B[38;5;124m'\u001B[39m],\n\u001B[0;32m 177\u001B[0m lw\u001B[38;5;241m=\u001B[39m\u001B[38;5;241m3\u001B[39m, legend\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mTrue\u001B[39;00m, ax\u001B[38;5;241m=\u001B[39max)\n", + "File \u001B[1;32m~\\AppData\\Local\\miniconda3\\envs\\xanthos\\Lib\\contextlib.py:137\u001B[0m, in \u001B[0;36m_GeneratorContextManager.__enter__\u001B[1;34m(self)\u001B[0m\n\u001B[0;32m 135\u001B[0m \u001B[38;5;28;01mdel\u001B[39;00m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39margs, \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mkwds, \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mfunc\n\u001B[0;32m 136\u001B[0m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[1;32m--> 137\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28mnext\u001B[39m(\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mgen)\n\u001B[0;32m 138\u001B[0m \u001B[38;5;28;01mexcept\u001B[39;00m \u001B[38;5;167;01mStopIteration\u001B[39;00m:\n\u001B[0;32m 139\u001B[0m \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mRuntimeError\u001B[39;00m(\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mgenerator didn\u001B[39m\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mt yield\u001B[39m\u001B[38;5;124m\"\u001B[39m) \u001B[38;5;28;01mfrom\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m\n", + "File \u001B[1;32m~\\AppData\\Local\\miniconda3\\envs\\xanthos\\Lib\\site-packages\\matplotlib\\style\\core.py:194\u001B[0m, in \u001B[0;36mcontext\u001B[1;34m(style, after_reset)\u001B[0m\n\u001B[0;32m 192\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m after_reset:\n\u001B[0;32m 193\u001B[0m mpl\u001B[38;5;241m.\u001B[39mrcdefaults()\n\u001B[1;32m--> 194\u001B[0m use(style)\n\u001B[0;32m 195\u001B[0m \u001B[38;5;28;01myield\u001B[39;00m\n", + "File \u001B[1;32m~\\AppData\\Local\\miniconda3\\envs\\xanthos\\Lib\\site-packages\\matplotlib\\style\\core.py:139\u001B[0m, in \u001B[0;36muse\u001B[1;34m(style)\u001B[0m\n\u001B[0;32m 137\u001B[0m style \u001B[38;5;241m=\u001B[39m _rc_params_in_file(style)\n\u001B[0;32m 138\u001B[0m \u001B[38;5;28;01mexcept\u001B[39;00m \u001B[38;5;167;01mOSError\u001B[39;00m \u001B[38;5;28;01mas\u001B[39;00m err:\n\u001B[1;32m--> 139\u001B[0m \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mOSError\u001B[39;00m(\n\u001B[0;32m 140\u001B[0m \u001B[38;5;124mf\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;132;01m{\u001B[39;00mstyle\u001B[38;5;132;01m!r}\u001B[39;00m\u001B[38;5;124m is not a valid package style, path of style \u001B[39m\u001B[38;5;124m\"\u001B[39m\n\u001B[0;32m 141\u001B[0m \u001B[38;5;124mf\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mfile, URL of style file, or library style name (library \u001B[39m\u001B[38;5;124m\"\u001B[39m\n\u001B[0;32m 142\u001B[0m \u001B[38;5;124mf\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mstyles are listed in `style.available`)\u001B[39m\u001B[38;5;124m\"\u001B[39m) \u001B[38;5;28;01mfrom\u001B[39;00m \u001B[38;5;21;01merr\u001B[39;00m\n\u001B[0;32m 143\u001B[0m filtered \u001B[38;5;241m=\u001B[39m {}\n\u001B[0;32m 144\u001B[0m \u001B[38;5;28;01mfor\u001B[39;00m k \u001B[38;5;129;01min\u001B[39;00m style: \u001B[38;5;66;03m# don't trigger RcParams.__getitem__('backend')\u001B[39;00m\n", + "\u001B[1;31mOSError\u001B[0m: 'seaborn-white' is not a valid package style, path of style file, URL of style file, or library style name (library styles are listed in `style.available`)" + ] + } + ], "source": [ "# Compare time series of simulation and observation for an individual basin\n", "df_plot = format_data(sim=runoff_basin,\n", @@ -1664,13 +1819,40 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 16, "metadata": { "pycharm": { "name": "#%%\n" + }, + "ExecuteTime": { + "end_time": "2024-07-23T19:50:37.148652400Z", + "start_time": "2024-07-23T19:50:37.006367900Z" } }, - "outputs": [], + "outputs": [ + { + "ename": "OSError", + "evalue": "'seaborn-white' is not a valid package style, path of style file, URL of style file, or library style name (library styles are listed in `style.available`)", + "output_type": "error", + "traceback": [ + "\u001B[1;31m---------------------------------------------------------------------------\u001B[0m", + "\u001B[1;31mFileNotFoundError\u001B[0m Traceback (most recent call last)", + "File \u001B[1;32m~\\AppData\\Local\\miniconda3\\envs\\xanthos\\Lib\\site-packages\\matplotlib\\style\\core.py:137\u001B[0m, in \u001B[0;36muse\u001B[1;34m(style)\u001B[0m\n\u001B[0;32m 136\u001B[0m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[1;32m--> 137\u001B[0m style \u001B[38;5;241m=\u001B[39m _rc_params_in_file(style)\n\u001B[0;32m 138\u001B[0m \u001B[38;5;28;01mexcept\u001B[39;00m \u001B[38;5;167;01mOSError\u001B[39;00m \u001B[38;5;28;01mas\u001B[39;00m err:\n", + "File \u001B[1;32m~\\AppData\\Local\\miniconda3\\envs\\xanthos\\Lib\\site-packages\\matplotlib\\__init__.py:866\u001B[0m, in \u001B[0;36m_rc_params_in_file\u001B[1;34m(fname, transform, fail_on_error)\u001B[0m\n\u001B[0;32m 865\u001B[0m rc_temp \u001B[38;5;241m=\u001B[39m {}\n\u001B[1;32m--> 866\u001B[0m \u001B[38;5;28;01mwith\u001B[39;00m _open_file_or_url(fname) \u001B[38;5;28;01mas\u001B[39;00m fd:\n\u001B[0;32m 867\u001B[0m \u001B[38;5;28;01mtry\u001B[39;00m:\n", + "File \u001B[1;32m~\\AppData\\Local\\miniconda3\\envs\\xanthos\\Lib\\contextlib.py:137\u001B[0m, in \u001B[0;36m_GeneratorContextManager.__enter__\u001B[1;34m(self)\u001B[0m\n\u001B[0;32m 136\u001B[0m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[1;32m--> 137\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28mnext\u001B[39m(\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mgen)\n\u001B[0;32m 138\u001B[0m \u001B[38;5;28;01mexcept\u001B[39;00m \u001B[38;5;167;01mStopIteration\u001B[39;00m:\n", + "File \u001B[1;32m~\\AppData\\Local\\miniconda3\\envs\\xanthos\\Lib\\site-packages\\matplotlib\\__init__.py:843\u001B[0m, in \u001B[0;36m_open_file_or_url\u001B[1;34m(fname)\u001B[0m\n\u001B[0;32m 842\u001B[0m fname \u001B[38;5;241m=\u001B[39m os\u001B[38;5;241m.\u001B[39mpath\u001B[38;5;241m.\u001B[39mexpanduser(fname)\n\u001B[1;32m--> 843\u001B[0m \u001B[38;5;28;01mwith\u001B[39;00m \u001B[38;5;28mopen\u001B[39m(fname, encoding\u001B[38;5;241m=\u001B[39m\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mutf-8\u001B[39m\u001B[38;5;124m'\u001B[39m) \u001B[38;5;28;01mas\u001B[39;00m f:\n\u001B[0;32m 844\u001B[0m \u001B[38;5;28;01myield\u001B[39;00m f\n", + "\u001B[1;31mFileNotFoundError\u001B[0m: [Errno 2] No such file or directory: 'seaborn-white'", + "\nThe above exception was the direct cause of the following exception:\n", + "\u001B[1;31mOSError\u001B[0m Traceback (most recent call last)", + "Cell \u001B[1;32mIn[16], line 7\u001B[0m\n\u001B[0;32m 1\u001B[0m \u001B[38;5;66;03m# Compare time series of simulation and observation for all basins together\u001B[39;00m\n\u001B[0;32m 2\u001B[0m df_plot \u001B[38;5;241m=\u001B[39m format_data(sim\u001B[38;5;241m=\u001B[39mrunoff_basin,\n\u001B[0;32m 3\u001B[0m obs\u001B[38;5;241m=\u001B[39mrunoff_obs,\n\u001B[0;32m 4\u001B[0m \u001B[38;5;28mid\u001B[39m\u001B[38;5;241m=\u001B[39m\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mglobal\u001B[39m\u001B[38;5;124m'\u001B[39m,\n\u001B[0;32m 5\u001B[0m from_yr\u001B[38;5;241m=\u001B[39m\u001B[38;5;241m1972\u001B[39m,\n\u001B[0;32m 6\u001B[0m through_yr\u001B[38;5;241m=\u001B[39m\u001B[38;5;241m2001\u001B[39m)\n\u001B[1;32m----> 7\u001B[0m plot_comparison(df_plot\u001B[38;5;241m=\u001B[39mdf_plot,\n\u001B[0;32m 8\u001B[0m y_label\u001B[38;5;241m=\u001B[39m\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mAnnual Runoff ($km^3$/year)\u001B[39m\u001B[38;5;124m'\u001B[39m)\n", + "Cell \u001B[1;32mIn[9], line 174\u001B[0m, in \u001B[0;36mplot_comparison\u001B[1;34m(df_plot, y_label)\u001B[0m\n\u001B[0;32m 171\u001B[0m title \u001B[38;5;241m=\u001B[39m \u001B[38;5;28mstr\u001B[39m(df_plot[\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mbasin_id\u001B[39m\u001B[38;5;124m'\u001B[39m]\u001B[38;5;241m.\u001B[39munique()[\u001B[38;5;241m0\u001B[39m]) \u001B[38;5;241m+\u001B[39m \u001B[38;5;124m'\u001B[39m\u001B[38;5;124m - \u001B[39m\u001B[38;5;124m'\u001B[39m \u001B[38;5;241m+\u001B[39m df_plot[\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mbasin_name\u001B[39m\u001B[38;5;124m'\u001B[39m]\u001B[38;5;241m.\u001B[39munique()[\u001B[38;5;241m0\u001B[39m]\n\u001B[0;32m 173\u001B[0m \u001B[38;5;66;03m# Plot\u001B[39;00m\n\u001B[1;32m--> 174\u001B[0m \u001B[38;5;28;01mwith\u001B[39;00m plt\u001B[38;5;241m.\u001B[39mstyle\u001B[38;5;241m.\u001B[39mcontext(\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mseaborn-white\u001B[39m\u001B[38;5;124m\"\u001B[39m):\n\u001B[0;32m 175\u001B[0m fig, ax \u001B[38;5;241m=\u001B[39m plt\u001B[38;5;241m.\u001B[39msubplots(figsize\u001B[38;5;241m=\u001B[39m(\u001B[38;5;241m10\u001B[39m, \u001B[38;5;241m6\u001B[39m), constrained_layout\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mFalse\u001B[39;00m)\n\u001B[0;32m 176\u001B[0m df_plot\u001B[38;5;241m.\u001B[39mplot(x \u001B[38;5;241m=\u001B[39m \u001B[38;5;124m'\u001B[39m\u001B[38;5;124mtime\u001B[39m\u001B[38;5;124m'\u001B[39m, y\u001B[38;5;241m=\u001B[39m[\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mobs\u001B[39m\u001B[38;5;124m'\u001B[39m, \u001B[38;5;124m'\u001B[39m\u001B[38;5;124msim\u001B[39m\u001B[38;5;124m'\u001B[39m], kind\u001B[38;5;241m=\u001B[39m\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mline\u001B[39m\u001B[38;5;124m'\u001B[39m, color\u001B[38;5;241m=\u001B[39m[\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mblack\u001B[39m\u001B[38;5;124m'\u001B[39m, \u001B[38;5;124m'\u001B[39m\u001B[38;5;124mdodgerblue\u001B[39m\u001B[38;5;124m'\u001B[39m],\n\u001B[0;32m 177\u001B[0m lw\u001B[38;5;241m=\u001B[39m\u001B[38;5;241m3\u001B[39m, legend\u001B[38;5;241m=\u001B[39m\u001B[38;5;28;01mTrue\u001B[39;00m, ax\u001B[38;5;241m=\u001B[39max)\n", + "File \u001B[1;32m~\\AppData\\Local\\miniconda3\\envs\\xanthos\\Lib\\contextlib.py:137\u001B[0m, in \u001B[0;36m_GeneratorContextManager.__enter__\u001B[1;34m(self)\u001B[0m\n\u001B[0;32m 135\u001B[0m \u001B[38;5;28;01mdel\u001B[39;00m \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39margs, \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mkwds, \u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mfunc\n\u001B[0;32m 136\u001B[0m \u001B[38;5;28;01mtry\u001B[39;00m:\n\u001B[1;32m--> 137\u001B[0m \u001B[38;5;28;01mreturn\u001B[39;00m \u001B[38;5;28mnext\u001B[39m(\u001B[38;5;28mself\u001B[39m\u001B[38;5;241m.\u001B[39mgen)\n\u001B[0;32m 138\u001B[0m \u001B[38;5;28;01mexcept\u001B[39;00m \u001B[38;5;167;01mStopIteration\u001B[39;00m:\n\u001B[0;32m 139\u001B[0m \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mRuntimeError\u001B[39;00m(\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mgenerator didn\u001B[39m\u001B[38;5;124m'\u001B[39m\u001B[38;5;124mt yield\u001B[39m\u001B[38;5;124m\"\u001B[39m) \u001B[38;5;28;01mfrom\u001B[39;00m \u001B[38;5;28;01mNone\u001B[39;00m\n", + "File \u001B[1;32m~\\AppData\\Local\\miniconda3\\envs\\xanthos\\Lib\\site-packages\\matplotlib\\style\\core.py:194\u001B[0m, in \u001B[0;36mcontext\u001B[1;34m(style, after_reset)\u001B[0m\n\u001B[0;32m 192\u001B[0m \u001B[38;5;28;01mif\u001B[39;00m after_reset:\n\u001B[0;32m 193\u001B[0m mpl\u001B[38;5;241m.\u001B[39mrcdefaults()\n\u001B[1;32m--> 194\u001B[0m use(style)\n\u001B[0;32m 195\u001B[0m \u001B[38;5;28;01myield\u001B[39;00m\n", + "File \u001B[1;32m~\\AppData\\Local\\miniconda3\\envs\\xanthos\\Lib\\site-packages\\matplotlib\\style\\core.py:139\u001B[0m, in \u001B[0;36muse\u001B[1;34m(style)\u001B[0m\n\u001B[0;32m 137\u001B[0m style \u001B[38;5;241m=\u001B[39m _rc_params_in_file(style)\n\u001B[0;32m 138\u001B[0m \u001B[38;5;28;01mexcept\u001B[39;00m \u001B[38;5;167;01mOSError\u001B[39;00m \u001B[38;5;28;01mas\u001B[39;00m err:\n\u001B[1;32m--> 139\u001B[0m \u001B[38;5;28;01mraise\u001B[39;00m \u001B[38;5;167;01mOSError\u001B[39;00m(\n\u001B[0;32m 140\u001B[0m \u001B[38;5;124mf\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;132;01m{\u001B[39;00mstyle\u001B[38;5;132;01m!r}\u001B[39;00m\u001B[38;5;124m is not a valid package style, path of style \u001B[39m\u001B[38;5;124m\"\u001B[39m\n\u001B[0;32m 141\u001B[0m \u001B[38;5;124mf\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mfile, URL of style file, or library style name (library \u001B[39m\u001B[38;5;124m\"\u001B[39m\n\u001B[0;32m 142\u001B[0m \u001B[38;5;124mf\u001B[39m\u001B[38;5;124m\"\u001B[39m\u001B[38;5;124mstyles are listed in `style.available`)\u001B[39m\u001B[38;5;124m\"\u001B[39m) \u001B[38;5;28;01mfrom\u001B[39;00m \u001B[38;5;21;01merr\u001B[39;00m\n\u001B[0;32m 143\u001B[0m filtered \u001B[38;5;241m=\u001B[39m {}\n\u001B[0;32m 144\u001B[0m \u001B[38;5;28;01mfor\u001B[39;00m k \u001B[38;5;129;01min\u001B[39;00m style: \u001B[38;5;66;03m# don't trigger RcParams.__getitem__('backend')\u001B[39;00m\n", + "\u001B[1;31mOSError\u001B[0m: 'seaborn-white' is not a valid package style, path of style file, URL of style file, or library style name (library styles are listed in `style.available`)" + ] + } + ], "source": [ "# Compare time series of simulation and observation for all basins together\n", "df_plot = format_data(sim=runoff_basin,\n", @@ -1684,13 +1866,26 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 17, "metadata": { "pycharm": { "name": "#%%\n" + }, + "ExecuteTime": { + "end_time": "2024-07-23T19:50:40.732496600Z", + "start_time": "2024-07-23T19:50:38.064521500Z" } }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": "
", + "image/png": 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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# Diagnostics with other global data\n", "runoff_diag = pd.read_csv(os.path.join(data_dir, \n", @@ -1704,13 +1899,26 @@ }, { "cell_type": "code", - "execution_count": null, + "execution_count": 18, "metadata": { "pycharm": { "name": "#%%\n" + }, + "ExecuteTime": { + "end_time": "2024-07-23T19:50:51.622606500Z", + "start_time": "2024-07-23T19:50:48.555687500Z" } }, - "outputs": [], + "outputs": [ + { + "data": { + "text/plain": "
", + "image/png": 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" + }, + "metadata": {}, + "output_type": "display_data" + } + ], "source": [ "# spatial mean runoff across 1971 - 2001\n", "plot_map(arr=runoff_grid,\n", @@ -1718,6 +1926,14 @@ " legend_label='Runoff (km3/year)',\n", " cmap='viridis')" ] + }, + { + "cell_type": "code", + "outputs": [], + "source": [], + "metadata": { + "collapsed": false + } } ], "metadata": { diff --git a/xanthos/data_reader/data_load.py b/xanthos/data_reader/data_load.py index 8257b3d6..70303365 100644 --- a/xanthos/data_reader/data_load.py +++ b/xanthos/data_reader/data_load.py @@ -8,7 +8,6 @@ @author: Xinya Li (xinya.li@pnl.gov), Chris R. Vernon (chris.vernon@pnnl.gov) @Project: Xanthos V2.0 - License: BSD 2-Clause, see LICENSE and DISCLAIMER files Copyright (c) 2018, Battelle Memorial Institute diff --git a/xanthos/diagnostics/diagnostics.py b/xanthos/diagnostics/diagnostics.py index 9333e81f..103b94cd 100644 --- a/xanthos/diagnostics/diagnostics.py +++ b/xanthos/diagnostics/diagnostics.py @@ -126,8 +126,8 @@ def write_diagnostics(self, scale, id_map, name_map, q, qq, wbm, wbmc, UNH, name agg_df.set_index('id', inplace=True) # Add global total as top row - agg_df.loc[-1, 'name'] = 'Global' - agg_df.loc[-1, 1:] = agg_df.sum(numeric_only=True) + agg_df.iloc[-1, agg_df.columns.get_loc('name')] = 'Global' + agg_df.iloc[-1, 1:] = agg_df.sum(numeric_only=True) agg_df.index = agg_df.index + 1 agg_df = agg_df.sort_index() @@ -135,7 +135,7 @@ def write_diagnostics(self, scale, id_map, name_map, q, qq, wbm, wbmc, UNH, name output_name = os.path.join(self.output_folder, file_name) # Write out as .csv, replacing nan values with zero - agg_df.to_csv(output_name + '.csv', na_rep=0, index=False) + agg_df.to_csv(output_name + '.csv', na_rep='0', index=False) # self.plot_diagnostics(qs[1:, :], output_name, scale) diff --git a/xanthos/hydropower/actual.py b/xanthos/hydropower/actual.py index 206f9ba0..6206123d 100644 --- a/xanthos/hydropower/actual.py +++ b/xanthos/hydropower/actual.py @@ -86,6 +86,7 @@ def __init__(self, settings, q_grids): # write output self.write_output() + @staticmethod def find_nearest(array, value): """Get value from within an array closest to a value.""" @@ -101,8 +102,7 @@ def get_grid_id(self, longlat): """Get the grid location of a dam based on longitude/latitude.""" lon = self.find_nearest(self.loc_refs["long"], longlat["LONG_DD"]) lat = self.find_nearest(self.loc_refs["lati"], longlat["LAT_DD"]) - return int((self.loc_refs[(self.loc_refs["long"] == lon) & (self.loc_refs["lati"] == lat)]["ID"]).iloc[0]) - + return int(self.loc_refs[(self.loc_refs["long"] == lon) & (self.loc_refs["lati"] == lat)]["ID"].iloc[0]) def get_drain_area(self, x, drainage_area): """Get drainage area implied by the routing network.""" lonseq = np.unique(self.loc_refs["long"])