numpy.datetime64.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import xlwings as xw\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['2005-02-01T00:00', '2005-02-01T00:01', '2005-02-01T00:02', ...,\n",
       "       '2005-02-28T23:57', '2005-02-28T23:58', '2005-02-28T23:59'], dtype='datetime64[m]')"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dt1 = np.arange('2005-02', '2005-03', dtype='datetime64[m]')\n",
    "dt1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['2005-02-01T00:00:00.000000000', '2005-02-01T00:01:00.000000000',\n",
       "       '2005-02-01T00:02:00.000000000', ...,\n",
       "       '2005-02-28T23:57:00.000000000', '2005-02-28T23:58:00.000000000',\n",
       "       '2005-02-28T23:59:00.000000000'], dtype='datetime64[ns]')"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dt2 = dt1.astype('<M8[ns]')\n",
    "dt2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "xw = xw.Book()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "xw.sheets[0].range(\"A1\").options(transpose=True).value = dt1 #ok\n",
    "xw.sheets[0].range(\"B1\").options(transpose=True).value = dt2 #problem"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
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