start work on lm1-dailies.py script.

The script can process on file and create plot (HTML file) but the aim is to
have the script cycle through all the daily files (for Light Meter 1) and
produce charts of each one.

lm1-dailies.py

@@ -0,0 +1,40 @@
+from bokeh.plotting import figure, output_file, save, show
+from bokeh.models import Legend, ColumnDataSource
+import bokeh.palettes
+import pandas as pd
+import numpy as np
+import random
+
+def  random_colour():
+    r = random.randint(0,255)
+    g = random.randint(0,255)
+    b = random.randint(0,255)
+    rgb = [r,g,b]
+    return rgb
+
+file_path = "data/light-meter-1/2021-06-17.csv"
+single_file = pd.read_csv (file_path, sep="," ,header=None,
+                           index_col=False, dtype='unicode')
+file_data = single_file.values[1:]
+# print(file_data)
+
+p = figure(title="Readings for Light Meter 1 (Andy) on INSERT DATE HERE",
+           x_axis_label="Date",
+           y_axis_label="Reading",
+           x_axis_type='datetime',
+           sizing_mode="stretch_both")
+p.axis.major_label_text_font_size = "12px"
+p.axis.major_label_standoff = 10
+
+x_raw_vals = []
+y_vals = []
+for row in file_data :
+    x_raw_vals.append(row[0])
+    y_vals.append(row[1])
+
+x_vals = pd.to_datetime(x_raw_vals)
+p.line(x = x_vals, y = y_vals, line_width = 2)
+
+output_file("output/lm1-INSERT-DATE-HERE.html",
+            title="Light Meter 1: INSERT DATE HERE")
+save(p)