Data Programming Course  Check-in [33ae3729a3]

Many hyperlinks are disabled.
Use anonymous login to enable hyperlinks.

Overview
Comment:inserito lo stub della seconda lezione extra su xarray
Downloads: Tarball | ZIP archive | SQL archive
Timelines: family | ancestors | descendants | both | trunk
Files: files | file ages | folders
SHA1:33ae3729a3705aa8f61250afab610b03acab9983
User & Date: EnricoGiampieri 2017-03-16 15:37:45
Context
2017-03-16
15:47
aggiunti gli script di soluzione delle vecchie lezioni e di dimostrazione usati check-in: 5cabac5e1f user: EnricoGiampieri tags: trunk
15:37
inserito lo stub della seconda lezione extra su xarray check-in: 33ae3729a3 user: EnricoGiampieri tags: trunk
15:36
aggiornate le slide delle lezioni 4 e 5 con i commenti check-in: 6d9e084ded user: EnricoGiampieri tags: trunk
Changes

Added Lezione X2 - Xarray ed i dataset multidimensionali.html.

more than 10,000 changes

Added Lezione X2 - Xarray ed i dataset multidimensionali.ipynb.





























































































































































































































>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import xarray as xr\n",
    "import pylab as plt\n",
    "import pandas as pd\n",
    "import seaborn\n",
    "\n",
    "from matplotlib import style\n",
    "style.use('default')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "# da https://github.com/pydata/xarray-data\n",
    "ds = xr.tutorial.load_dataset('air_temperature')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<xarray.Dataset>\n",
       "Dimensions:  (lat: 25, lon: 53, time: 2920)\n",
       "Coordinates:\n",
       "  * lat      (lat) float32 75.0 72.5 70.0 67.5 65.0 62.5 60.0 57.5 55.0 52.5 ...\n",
       "  * lon      (lon) float32 200.0 202.5 205.0 207.5 210.0 212.5 215.0 217.5 ...\n",
       "  * time     (time) datetime64[ns] 2013-01-01 2013-01-01T06:00:00 ...\n",
       "Data variables:\n",
       "    air      (time, lat, lon) float64 241.2 242.5 243.5 244.0 244.1 243.9 ...\n",
       "Attributes:\n",
       "    Conventions: COARDS\n",
       "    title: 4x daily NMC reanalysis (1948)\n",
       "    description: Data is from NMC initialized reanalysis\n",
       "(4x/day).  These are the 0.9950 sigma level values.\n",
       "    platform: Model\n",
       "    references: http://www.esrl.noaa.gov/psd/data/gridded/data.ncep.reanalysis.html"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ds"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.6.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}

Added Lezione X2 - Xarray ed i dataset multidimensionali.slides.html.

more than 10,000 changes