TMY3-bokeh-datetime-html.ipynb

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     "input": "import pandas as pd\nimport bokeh.plotting as bkp\nimport bokeh.objects as bko\n\n# download tmy3 data\nsr = pd.read_table('http://rredc.nrel.gov/solar/old_data/nsrdb/1991-2005/data/tmy3/724957TY.csv', skiprows=1, sep=',')\n    \n# create datetime index from TMY3 format data\nimport datetime as dt\nyear = 2014\nindex = []\nfor d in sr.iterrows():\n    M, D, Y = map(int, d[1]['Date (MM/DD/YYYY)'].split('/'))\n    h, m = map(int, d[1]['Time (HH:MM)'].split(':'))\n    index.append(dt.datetime(year, M, D, h - 1))\nsr.index = index",
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     "input": "# create standalone HTML output\nbkp.output_file('bokeh-tmy.html')\n\n# set up data source with solar, temperature, and wind speed\nsource = bko.ColumnDataSource()\nx = sr.index\nxr = bko.Range1d(start=sr.index[0], end=sr.index[-1])\nsource.add(data=x, name='x')\nsource.add(data=sr['DNI (W/m^2)'].values, name='DNI')\nsource.add(data=sr['Dry-bulb (C)'].values, name='T')\nsource.add(data=sr['Wspd (m/s)'].values, name='W')\nkwargs = {'source':source,\n        'x_range':xr,\n        'plot_height':300,\n        'plot_width':300}\ns1 = bkp.line('x', 'DNI', title='DNI', **kwargs)\ns2 = bkp.line('x', 'T', title='Temp', **kwargs)\ns3 = bkp.line('x', 'W', title='Wind', **kwargs)\nbkp.gridplot([[s1, s2, s3]])\nbkp.show()",
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