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This script places all the daily reading for a given Light Meter and overlays them on top of each other on the chart. Because each file (for each day) have different combinations of date/timestamps, the charts has to switch to using plain integers for the x-axis. This means you can't glean much data from a time/date spective but the charts for both Light Meters do help relay the amount of activity which happened in them.master
Craig Oates
1 year ago
1 changed files with 60 additions and 0 deletions
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from bokeh.plotting import figure, output_file, save, show |
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from bokeh.models import Legend, ColumnDataSource |
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import bokeh.palettes |
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import pandas as pd |
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import numpy as np |
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import random |
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import glob |
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import os |
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def random_colour(): |
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r = random.randint(0,255) |
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g = random.randint(0,255) |
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b = random.randint(0,255) |
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rgb = [r,g,b] |
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return rgb |
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def generate_charts (meter_num) : |
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if (meter_num == 1) : |
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fig_title = f"Daily Readings for Light Meter 1 (Andy)" |
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else : |
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fig_title = f"Daily Readings for Light Meter 2 (Tony)" |
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p = figure(title = fig_title, |
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x_axis_label = "Reading Id. (not same as database)", |
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y_axis_label = "Light Reading", |
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sizing_mode = "stretch_both") |
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p.axis.major_label_text_font_size = "12px" |
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p.axis.major_label_standoff = 10 |
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files = glob.glob(f"data/light-meter-{meter_num}/*.csv") |
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for file_path in files : |
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single_file = pd.read_csv (file_path, sep="," ,header=None, |
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index_col=False, dtype='unicode') |
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file_data = single_file.values[1:] |
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file_name = os.path.splitext(os.path.basename(file_path))[0] |
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x_raw_vals = [] |
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y_raw_vals = [] |
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counter = 0 |
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for row in file_data : |
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x_raw_vals.append(counter) |
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counter += 1 |
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y_raw_vals.append(row[1]) |
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x_vals = x_raw_vals # np.asarray(x_raw_vals).astype(int) |
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y_vals = np.asarray(y_raw_vals).astype(int) |
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p.line(x = x_vals, |
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y = y_vals, |
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line_width = 2, |
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line_color = random_colour()) |
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output_file(f"output/lm{meter_num}-dailies-overlayed.html", |
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title=f"Light Meter 1 Daily Overlayed") |
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save(p) |
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print("Generating charts for Light Meter 1...") |
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generate_charts(1) |
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print("Generating charts for Light Meter 2...") |
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generate_charts(2) |
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