{
  "cells": [
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "%matplotlib inline"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "# Datetime\n\nThis demo shows how the x-axis of a 1d plot can be a date time.\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "import numpy as np\nimport datetime\nfrom itom import dataObject\nfrom itom import plot1"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Start date with a specific timezone.\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "timestamp = datetime.datetime(\n    2022, 5, 6, 12, 23, 5, tzinfo=datetime.timezone(datetime.timedelta(0, -7200))\n)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Create a list of ``datetime.datetime`` objects.\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "numsteps = 100\ndateList = []\n\nfor x in range(0, numsteps, 15):\n    dateList.append(\n        timestamp + datetime.timedelta(hours=x)\n    )"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Create a ``dataObject`` from the list of ``datetime`` objects.\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "dateScale = dataObject([1, len(dateList)], \"datetime\", data=dateList)\n\nvalues = dataObject.randN(dateScale.shape, \"float32\")\n\n[i, h] = plot1(values, dateScale)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "<img src=\"file://../../_static/demoPlot1DDateTime_1.png\" width=\"100%\">\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "h[\"lineWidth\"] = 3\nh[\"axisLabelRotation\"] = -45\nh[\"axisLabelAlignment\"] = \"AlignLeft\"\nh[\"fillCurve\"] = \"FillFromBottom\"\nh[\"grid\"] = \"GridMajorXY\"\nh[\"axisLabel\"] = \"date\"\nh[\"valueLabel\"] = \"value\""
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "Example with ``numpy datetime`` array.\n\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "collapsed": false
      },
      "outputs": [],
      "source": [
        "dateScale = np.arange('2005-02', '2005-03', dtype='datetime64[D]')\nvalues = dataObject.randN([1, len(dateScale)], \"uint8\")\nplot1(values, dateScale)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {},
      "source": [
        "<img src=\"file://../../_static/demoPlot1DDateTime_2.png\" width=\"100%\">\n"
      ]
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.8.10"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
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