pyNotebooks/Pathlib_examples.ipynb

Pathlib_examples.ipynb

{
  "cells": [
    {
      "metadata": {},
      "cell_type": "raw",
      "source": "Pesky path problems alleviated\nSome nice explanations here:  https://realpython.com/python-pathlib/"
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "from pathlib import Path\nimport xarray as xr",
      "execution_count": 17,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "p1 = Path(\"C:\\\\projects\\\\python\\\\padding_data\")\np2 = Path(\"C:\\projects\\python\\padding_data\")\nf = \"10811whVwave_p-cal-trm.nc\"",
      "execution_count": 18,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "print(type(p1))\nprint(p1/f)\nprint(type(p2))\nprint(p2/f)",
      "execution_count": 19,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": "<class 'pathlib.WindowsPath'>\nC:\\projects\\python\\padding_data\\10811whVwave_p-cal-trm.nc\n<class 'pathlib.WindowsPath'>\nC:\\projects\\python\\padding_data\\10811whVwave_p-cal-trm.nc\n"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "ds1 = xr.open_dataset(p1/f,drop_variables={'EPIC_time','EPIC_time2'})",
      "execution_count": 20,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "ds2 = xr.open_dataset(p2/f,drop_variables={'EPIC_time','EPIC_time2'})",
      "execution_count": 21,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "ds1.close()\nds2.close()",
      "execution_count": 22,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "p = p2/f\nprint(p)",
      "execution_count": 28,
      "outputs": [
        {
          "name": "stdout",
          "output_type": "stream",
          "text": "C:\\projects\\python\\padding_data\\10811whVwave_p-cal-trm.nc\n"
        }
      ]
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "ds = xr.open_dataset(p,drop_variables={'EPIC_time','EPIC_time2'})",
      "execution_count": 25,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "ds.close()",
      "execution_count": 26,
      "outputs": []
    },
    {
      "metadata": {
        "trusted": true
      },
      "cell_type": "code",
      "source": "",
      "execution_count": null,
      "outputs": []
    }
  ],
  "metadata": {
    "kernelspec": {
      "name": "conda-env-IOOS3A-py",
      "display_name": "Python [conda env:IOOS3A]",
      "language": "python"
    },
    "language_info": {
      "name": "python",
      "version": "3.6.5",
      "mimetype": "text/x-python",
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "pygments_lexer": "ipython3",
      "nbconvert_exporter": "python",
      "file_extension": ".py"
    },
    "gist": {
      "id": "",
      "data": {
        "description": "pyNotebooks/Pathlib_examples.ipynb",
        "public": true
      }
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  "nbformat": 4,
  "nbformat_minor": 2
}