camels-shift-or-no-shift.ipynb

{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"authorship_tag":"ABX9TyNB1kSQ6rr7FUaxQ9t0lZH1"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"}},"cells":[{"cell_type":"code","execution_count":1,"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"FrbvsEPdbSdj","executionInfo":{"status":"ok","timestamp":1684261240325,"user_tz":240,"elapsed":32667,"user":{"displayName":"Travis Dantzer","userId":"14252935970813098593"}},"outputId":"0af0614d-735b-49b1-ee13-6f605d0168a7"},"outputs":[{"output_type":"stream","name":"stdout","text":["Mounted at /content/drive\n"]}],"source":["from google.colab import drive\n","drive.mount('/content/drive',force_remount=True)\n","#!pip3 install pysindy\n","#import pysindy as ps\n","import scipy.stats as stats\n","import os\n","import pandas as pd\n","import numpy as np\n","pd.set_option(\"display.precision\", 3)\n","import matplotlib.pyplot as plt\n"]},{"cell_type":"code","source":["folder_path = str('/content/drive/MyDrive/PhD Admin and Notes/paper1/revisions-code/camels_modpods_results')\n","\n","shifted_train = dict()\n","shifted_eval = dict()\n","noshift_train = dict()\n","noshift_eval = dict()\n","performance_summaries = dict()\n","for subdir, dirs, files in os.walk(folder_path):\n","    print(subdir)\n","    for file in files:\n","        if(\"error_metrics\" in str(os.path.join(subdir, file))):\n","          #print(str(subdir)[88:88+8])\n","          site_id = str(subdir)[88:88+8]\n","          # only look at the linear models\n","          if (\"po_1\" in str(os.path.join(subdir, file))):\n","            if (\"training\" in str(os.path.join(subdir, file))):\n","              if (\"no_shift\" in str(os.path.join(subdir, file))):\n","                noshift_train[site_id] = pd.read_csv(str(os.path.join(subdir, file)))\n","              else:\n","                shifted_train[site_id] = pd.read_csv(str(os.path.join(subdir, file)))\n","            elif (\"eval\" in  str(os.path.join(subdir, file))):\n","              if (\"no_shift\" in str(os.path.join(subdir, file))):\n","                noshift_eval[site_id] = pd.read_csv(str(os.path.join(subdir, file)))\n","              else:\n","                shifted_eval[site_id] = pd.read_csv(str(os.path.join(subdir, file)))\n","\n","          #print(str(file))\n","          #print(str(os.path.join(subdir, file)))\n","          #site_id = str(file).partition('_')[2][:-33]\n","          #print(site_id)\n","          #performance_summaries[site_id] = pd.read_csv(str(os.path.join(subdir, file)))\n","          #trained_site_ids.append(str(subdir)[-8:])\n","        #print(os.path.join(subdir, file))\n","#print(shifted_train['03439000'].NSE.mean())\n","for site_id in shifted_eval:\n","  print(shifted_eval[site_id])"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"KegZz-9JbaO7","executionInfo":{"status":"ok","timestamp":1684261251959,"user_tz":240,"elapsed":11639,"user":{"displayName":"Travis Dantzer","userId":"14252935970813098593"}},"outputId":"d7120a6a-706f-4368-9dd5-829c649b7cb2"},"execution_count":2,"outputs":[{"output_type":"stream","name":"stdout","text":["/content/drive/MyDrive/PhD Admin and Notes/paper1/revisions-code/camels_modpods_results\n","/content/drive/MyDrive/PhD Admin and Notes/paper1/revisions-code/camels_modpods_results/03439000_po_1_no_shift\n","/content/drive/MyDrive/PhD Admin and Notes/paper1/revisions-code/camels_modpods_results/03439000_po_2_no_shift\n","/content/drive/MyDrive/PhD Admin and Notes/paper1/revisions-code/camels_modpods_results/03455500_po_1_no_shift\n","/content/drive/MyDrive/PhD Admin and Notes/paper1/revisions-code/camels_modpods_results/03439000_po_3_no_shift\n","/content/drive/MyDrive/PhD Admin and Notes/paper1/revisions-code/camels_modpods_results/03439000_po_1_shift\n","/content/drive/MyDrive/PhD Admin and Notes/paper1/revisions-code/camels_modpods_results/03439000_po_2_shift\n","/content/drive/MyDrive/PhD Admin and Notes/paper1/revisions-code/camels_modpods_results/03439000_po_3_shift\n","/content/drive/MyDrive/PhD Admin and Notes/paper1/revisions-code/camels_modpods_results/03455500_po_2_no_shift\n","/content/drive/MyDrive/PhD Admin and Notes/paper1/revisions-code/camels_modpods_results/03455500_po_3_no_shift\n","/content/drive/MyDrive/PhD Admin and Notes/paper1/revisions-code/camels_modpods_results/03455500_po_1_shift\n","/content/drive/MyDrive/PhD Admin and Notes/paper1/revisions-code/camels_modpods_results/03455500_po_2_shift\n","/content/drive/MyDrive/PhD Admin and Notes/paper1/revisions-code/camels_modpods_results/03455500_po_3_shift\n","/content/drive/MyDrive/PhD Admin and Notes/paper1/revisions-code/camels_modpods_results/05291000_po_1_no_shift\n","/content/drive/MyDrive/PhD Admin and Notes/paper1/revisions-code/camels_modpods_results/05291000_po_1_shift\n","/content/drive/MyDrive/PhD Admin and Notes/paper1/revisions-code/camels_modpods_results/05362000_po_1_no_shift\n","/content/drive/MyDrive/PhD Admin and Notes/paper1/revisions-code/camels_modpods_results/01022500_po_1_no_shift\n","/content/drive/MyDrive/PhD Admin and Notes/paper1/revisions-code/camels_modpods_results/01022500_po_2_no_shift\n","/content/drive/MyDrive/PhD Admin and Notes/paper1/revisions-code/camels_modpods_results/01022500_po_3_no_shift\n","/content/drive/MyDrive/PhD Admin and Notes/paper1/revisions-code/camels_modpods_results/01022500_po_3_shift\n","/content/drive/MyDrive/PhD Admin and Notes/paper1/revisions-code/camels_modpods_results/01333000_po_1_no_shift\n","/content/drive/MyDrive/PhD Admin and Notes/paper1/revisions-code/camels_modpods_results/01333000_po_1_shift\n","/content/drive/MyDrive/PhD Admin and Notes/paper1/revisions-code/camels_modpods_results/01350000_po_1_no_shift\n","/content/drive/MyDrive/PhD Admin and Notes/paper1/revisions-code/camels_modpods_results/01350000_po_1_shift\n","/content/drive/MyDrive/PhD Admin and Notes/paper1/revisions-code/camels_modpods_results/01350080_po_1_no_shift\n","/content/drive/MyDrive/PhD Admin and Notes/paper1/revisions-code/camels_modpods_results/01350080_po_1_shift\n","-1.163809453563275\n","   Unnamed: 0    MAE  RMSE    NSE  alpha   beta    HFV  HFV10    LFV   FDC\n","0           1  1.658  2.71  0.313  0.581  1.258  0.571  0.832  1.881  1.58\n","1           2  1.658  2.71  0.313  0.581  1.258  0.571  0.832  1.881  1.58\n","   Unnamed: 0    MAE   RMSE    NSE  alpha   beta    HFV  HFV10    LFV    FDC\n","0           1  1.033  2.243 -0.079   0.54  0.644  0.644  0.539  0.291  0.686\n","1           2  1.033  2.243 -0.079   0.54  0.644  0.644  0.539  0.291  0.686\n","   Unnamed: 0    MAE   RMSE    NSE  alpha   beta    HFV  HFV10    LFV    FDC\n","0           1  0.318  0.731  0.185  0.549  1.452  0.464  0.824  1.993  3.036\n","1           2  0.318  0.731  0.185  0.549  1.452  0.464  0.824  1.993  3.036\n","   Unnamed: 0    MAE   RMSE    NSE  alpha   beta    HFV  HFV10    LFV    FDC\n","0           1  2.634  3.387 -0.704  0.779  1.803  0.747   1.13  2.823  2.716\n","1           2  2.634  3.387 -0.704  0.779  1.803  0.747   1.13  2.823  2.716\n","   Unnamed: 0    MAE   RMSE    NSE  alpha   beta    HFV  HFV10    LFV    FDC\n","0           1  4.796  5.777 -1.373  0.876  2.808  0.865  1.429  7.593  7.285\n","1           2  4.796  5.777 -1.373  0.876  2.808  0.865  1.429  7.593  7.285\n","   Unnamed: 0    MAE   RMSE    NSE  alpha  beta    HFV  HFV10    LFV    FDC\n","0           1  1.002  2.036  0.377  0.528  0.78  0.519  0.667  1.126  0.908\n","1           2  1.002  2.036  0.377  0.528  0.78  0.519  0.667  1.126  0.908\n"]}]},{"cell_type":"code","source":["# grab all the NSE's from each type and make a list\n","shift_train_NSE = list()\n","for site_id in shifted_train:\n","  shift_train_NSE.append(shifted_train[site_id].NSE.mean())\n","shift_eval_NSE = list()\n","for site_id in shifted_eval:\n","  shift_eval_NSE.append(shifted_eval[site_id].NSE.mean())\n","noshift_train_NSE = list()\n","\n","for site_id in noshift_train:\n","  noshift_train_NSE.append(noshift_train[site_id].NSE.mean())\n","noshift_eval_NSE = list()\n","for site_id in noshift_eval:\n","  noshift_eval_NSE.append(noshift_eval[site_id].NSE.mean())\n","print(shift_train_NSE)\n","print(shift_eval_NSE)\n","print(noshift_train_NSE)\n","print(noshift_eval_NSE)\n","\n","\n","shift_bins = np.linspace(0,1,len(shift_train_NSE))\n","noshift_bins = np.linspace(0,1,len(noshift_train_NSE))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"IG_5mkRzeuM2","executionInfo":{"status":"ok","timestamp":1684261251960,"user_tz":240,"elapsed":44,"user":{"displayName":"Travis Dantzer","userId":"14252935970813098593"}},"outputId":"2ee17297-fd88-4cec-b879-e0d16bb48707"},"execution_count":3,"outputs":[{"output_type":"stream","name":"stdout","text":["[-1.163809453563275, 0.1152524391391741, -0.4324325654266302, -0.9247963502242308, -0.5936084551167988, 0.0673649819276109]\n","[0.3132498902154813, -0.0787272249664197, 0.185074522467035, -0.7039205755255677, -1.3727446443201212, 0.3768290867114461]\n","[-8.351677962636026e+54, -1.3812496463518107, -1.0068969097213045, 0.28813457328773073, -223.0088334517842, -0.02246305663778965, -1.4447383343761064, -2.29309289762188]\n","[-1.6964569689272955e+53, -0.2251537002941752, 0.2162438679349378, 0.4014122534487154, -34.77405791792724, 0.085386871734191, -2.961039300173843, -2.3901452449669143]\n"]}]},{"cell_type":"code","source":["plt.figure(figsize=(10,10))\n","plt.plot(shift_bins,np.sort(shift_train_NSE),'b--',label='shift,train')\n","plt.plot(shift_bins,np.sort(shift_eval_NSE),'r--',label='shift,eval')\n","plt.plot(noshift_bins,np.sort(noshift_train_NSE),'g-',label='noshift,train')\n","plt.plot(noshift_bins,np.sort(noshift_eval_NSE),'y-',label='noshift,eval')\n","plt.ylabel(\"NSE\")\n","plt.ylim([-1,1])\n","plt.hlines(0,0,1,'k')\n","plt.legend(fontsize=20)\n","plt.title(\"NSE CDF\")\n","\n","\n","print(\"Train Failure Rate (NSE < 0)\")\n","print(\"Shift: \", len([x for x in shift_train_NSE if x < 0]) / len(shift_train_NSE))\n","print(\"No Shift:\", len([x for x in noshift_train_NSE if x < 0]) / len(noshift_train_NSE))\n","\n","print(\"Eval Failure Rate (NSE < 0)\")\n","print(\"Shift: \", len([x for x in shift_eval_NSE if x < 0]) / len(shift_eval_NSE))\n","print(\"No Shift:\", len([x for x in noshift_eval_NSE if x < 0]) / len(noshift_eval_NSE))\n","\n","\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":957},"id":"mbKPt_krg7pB","executionInfo":{"status":"ok","timestamp":1684261253082,"user_tz":240,"elapsed":1156,"user":{"displayName":"Travis Dantzer","userId":"14252935970813098593"}},"outputId":"05eb8f8f-364a-4e3d-9ce0-264f412bd880"},"execution_count":4,"outputs":[{"output_type":"stream","name":"stdout","text":["Train Failure Rate (NSE < 0)\n","Shift:  0.6666666666666666\n","No Shift: 0.875\n","Eval Failure Rate (NSE < 0)\n","Shift:  0.5\n","No Shift: 0.625\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x1000 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]}]}