create daily-totals.py script.

This script produces a line chart, using Bokeh, displaying the daily totals for
both Light Meters. The data is process from /data and the chart is written to
the /output directory -- as a HTML file.

daily-totals.py

@@ -0,0 +1,44 @@
+from bokeh.plotting import figure, output_file, save, show
+from bokeh.models import Legend
+import pandas as pd
+import numpy as np
+from bokeh.models import ColumnDataSource
+
+x_vals = []
+y_vals = []
+file_data = pd.read_csv("data/light-meter-1-daily-totals.csv", sep=",",
+                   header=None, index_col=False, dtype='unicode')
+for row in file_data.values[1:] :
+    x_vals.append(row[0])
+    y_vals.append(row[1])
+
+x_vals2 = []
+y_vals2 = []
+file_data2 = pd.read_csv("data/light-meter-2-daily-totals.csv", sep=",",
+                   header=None, index_col=False, dtype='unicode')
+for row in file_data2.values[1:] :
+    x_vals2.append(row[0])
+    y_vals2.append(row[1])
+
+data = {'x_values': pd.to_datetime(x_vals),
+        'y_values': np.asarray(y_vals).astype(int),
+        'x_values2': pd.to_datetime(x_vals2),
+        'y_values2': np.asarray(y_vals2).astype(int)}
+
+source = ColumnDataSource(data=data)
+
+p = figure(title="Total Daily Reading for Light Meters",
+           x_axis_label="Date",
+           y_axis_label="Total Readings",
+           x_axis_type='datetime',
+           sizing_mode="stretch_both")
+p.axis.major_label_text_font_size = "12px"
+p.axis.major_label_standoff = 10
+
+p.line(x='x_values', y='y_values',  source=source,
+       line_color="blue", legend_label="Light Meter 1 (Andy)")
+p.line(x='x_values2', y='y_values2', source=source,
+       line_color="orange", legend_label="Light Meter 2 (Tony)")
+
+output_file("output/daily-totals.html")
+save(p)