From 2ef83236d0eb2fbf96626af0d560c04095807ed1 Mon Sep 17 00:00:00 2001
From: Craig Oates <craig@craigoates.net>
Date: Tue, 21 Mar 2023 13:25:54 +0000
Subject: [PATCH] create lm2-hourly-totals.py script.

This script does exactly the same as lm1-hourly-totals.py script but it
processes and creates a line chart from the readings of Light Meter 2.
---
 lm2-hourly-totals.py | 59 ++++++++++++++++++++++++++++++++++++++++++++
 1 file changed, 59 insertions(+)
 create mode 100644 lm2-hourly-totals.py

diff --git a/lm2-hourly-totals.py b/lm2-hourly-totals.py
new file mode 100644
index 0000000..2f2621c
--- /dev/null
+++ b/lm2-hourly-totals.py
@@ -0,0 +1,59 @@
+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
+
+# Hour Slots, hardcoded to reduce duplicated processing of data.
+x_vals = ["00", "01", "02", "03", "04", "05",
+          "06", "07", "08", "09", "10", "11",
+          "12", "13", "14", "15", "16", "17",
+          "18", "19", "20", "21", "22", "23",
+          "24"]
+dates = []
+y_vals = []
+file_data = []
+for month in range(6, 8, 1) :
+    for day in range(1, 31, 1) :
+        if (day < 10) :
+            d = f"0{day}"
+        else :
+            d = day
+        if day < 13 and month == 6 :
+            print(f"Skipping: data/light-meter-2-hourly-totals/2021-0{month}/2012-0{month}-{d}.csv")
+        else :
+            file_path = f"data/light-meter-2-hourly-totals/2021-0{month}/2021-0{month}-{d}.csv"
+            single_file = pd.read_csv (file_path, sep="," ,header=None,
+                                       index_col=False, dtype='unicode')
+            dates.append(f"2021-0{month}-{d}")
+            file_data.append(single_file.values[1:])
+
+p = figure(title="Total Hourly Reading for Light Meter 2 (Tony)",
+           x_axis_label="Hour",
+           y_axis_label="Total Readings",
+           sizing_mode="stretch_both")
+p.axis.major_label_text_font_size = "12px"
+p.axis.major_label_standoff = 10
+
+def  random_colour():
+    r = random.randint(0,255)
+    g = random.randint(0,255)
+    b = random.randint(0,255)
+    rgb = [r,g,b]
+    return rgb
+
+for day in dates :
+    for row in file_data :
+        y_vals = []
+        for data in row :
+            reading = data[1]
+            y_vals.append(reading)
+        p.line(x = np.asarray(x_vals).astype(str),
+               y = np.asarray(y_vals).astype(int),
+               # legend_label=f"{day}",
+               line_color=random_colour())
+
+output_file("output/lm2-hourly-totals.html",
+            title="Total Hourly Reading for Light Meter 2")
+save(p)