Henna_Maria - 2021-06-22T150549.633.ipynb.txt

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  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "name": "Henna Maria",
      "provenance": []
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "code",
      "metadata": {
        "id": "mTNdWJHnErLQ"
      },
      "source": [
        "if __name__ == \"__main__\":\n",
        "    # Define file path\n",
        "    dataDir = r\"G:\\2020\\weather data\\2019\\EVP\" \n",
        "    dataDir_out = r\"G:\\2020\\weather data\\2019\\EVP\"\n",
        " \n",
        "    sidArr = [\"53463\"]  # Station number list\n",
        "    fields = [\"TEM\", \"TMN\", \"TMX\", \"PRE\", \"RHU\", \"WIN\", \"PRS\", \"SSD\"]  # Optional extraction variable list\n",
        "    START = \"2019-01-01\"  # Start date\n",
        "    END = \"2019-12-31\"  # End date\n",
        " \n",
        "    period = [START.split('-')[0] + START.split('-')[1], END.split('-')[0] + END.split('-')[1]]\n",
        "    period_days = GetDateArr_strdays(START, END)\n",
        "    days = []\n",
        " \n",
        "    # Extract data site by site\n",
        "    for sid in sidArr:\n",
        "        print(sid)\n",
        " \n",
        "        # Calculate the number of initial search lines to improve the extraction speed\n",
        "        sr = sidArr.index(sid) * 28\n",
        " \n",
        "        c = ClimateData(dataDir, dataDir_out, int(sid), fields, period, days)\n",
        "        c.ExtractData(sr=sr)\n",
        "        c.SaveData(period_days, avg=False, d=False)"
      ],
      "execution_count": null,
      "outputs": []
    }
  ]
}