usgs-shift-or-no-shift.ipynb

{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"authorship_tag":"ABX9TyOWNqpc8Av/YWnB3YIFdJqF"},"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":"YmCY9lMU6QDI","executionInfo":{"status":"ok","timestamp":1684261306045,"user_tz":240,"elapsed":67218,"user":{"displayName":"Travis Dantzer","userId":"14252935970813098593"}},"outputId":"5f4aaa68-37f7-4f88-bbd1-a5534b1132f5"},"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/usgs_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)[86:86+8])\n","          site_id = str(subdir)[86:86+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_train:\n","  print(shifted_train[site_id])"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"BbSqCPmQ6U59","executionInfo":{"status":"ok","timestamp":1684261309386,"user_tz":240,"elapsed":3352,"user":{"displayName":"Travis Dantzer","userId":"14252935970813098593"}},"outputId":"92bbe8bb-8280-48d6-edc5-5663e7a7f8ac"},"execution_count":2,"outputs":[{"output_type":"stream","name":"stdout","text":["/content/drive/MyDrive/PhD Admin and Notes/paper1/revisions-code/usgs_modpods_results\n","/content/drive/MyDrive/PhD Admin and Notes/paper1/revisions-code/usgs_modpods_results/14299800_po_1_no_shift\n","14299800\n","14299800\n","/content/drive/MyDrive/PhD Admin and Notes/paper1/revisions-code/usgs_modpods_results/14179000_po_1_no_shift\n","14179000\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.max())\n","shift_eval_NSE = list()\n","for site_id in shifted_eval:\n","  shift_eval_NSE.append(shifted_eval[site_id].NSE.max())\n","noshift_train_NSE = list()\n","\n","for site_id in noshift_train:\n","  noshift_train_NSE.append(noshift_train[site_id].NSE.max())\n","noshift_eval_NSE = list()\n","for site_id in noshift_eval:\n","  noshift_eval_NSE.append(noshift_eval[site_id].NSE.max())\n","print(shift_train_NSE)\n","print(shift_eval_NSE)\n","print(noshift_train_NSE)\n","print(noshift_eval_NSE)\n"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"3J_MIOV06U_r","executionInfo":{"status":"ok","timestamp":1684261309388,"user_tz":240,"elapsed":20,"user":{"displayName":"Travis Dantzer","userId":"14252935970813098593"}},"outputId":"7f525a71-9326-4557-b832-ccd59ff82c2a"},"execution_count":3,"outputs":[{"output_type":"stream","name":"stdout","text":["[]\n","[]\n","[0.7671244440398813, -2.472440677777401]\n","[0.7614564204810368]\n"]}]},{"cell_type":"code","source":["plt.figure(figsize=(10,10))\n","plt.plot(np.sort(shift_train_NSE),'b--',label='shift,train')\n","plt.plot(np.sort(shift_eval_NSE),'r--',label='shift,eval')\n","plt.plot(np.sort(noshift_train_NSE),'g-',label='noshift,train')\n","plt.plot(np.sort(noshift_eval_NSE),'y-',label='noshift,eval')\n","plt.ylabel(\"NSE\")\n","plt.ylim([-1,1])\n","plt.hlines(0,0,len(noshift_train_NSE)-1,'k')\n","plt.legend(fontsize=20)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":0},"id":"ADtJDSMp6VCU","executionInfo":{"status":"ok","timestamp":1684261310044,"user_tz":240,"elapsed":672,"user":{"displayName":"Travis Dantzer","userId":"14252935970813098593"}},"outputId":"f8d7ae45-b20a-497b-8390-9e3d8d13c6ee"},"execution_count":4,"outputs":[{"output_type":"execute_result","data":{"text/plain":["<matplotlib.legend.Legend at 0x7fd1d2530910>"]},"metadata":{},"execution_count":4},{"output_type":"display_data","data":{"text/plain":["<Figure size 1000x1000 with 1 Axes>"],"image/png":"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\n"},"metadata":{}}]}]}