Data processing and plotting for 'Personal Flash' artworks.
https://www.nicolaellisandritherdon.com
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59 lines
1.9 KiB
59 lines
1.9 KiB
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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# Hour Slots, hardcoded to reduce duplicated processing of data. |
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x_vals = ["00", "01", "02", "03", "04", "05", |
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"06", "07", "08", "09", "10", "11", |
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"12", "13", "14", "15", "16", "17", |
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"18", "19", "20", "21", "22", "23", |
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"24"] |
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dates = [] |
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y_vals = [] |
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file_data = [] |
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for month in range(6, 8, 1) : |
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for day in range(1, 31, 1) : |
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if (day < 10) : |
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d = f"0{day}" |
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else : |
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d = day |
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if day < 13 and month == 6 : |
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print(f"Skipping: data/light-meter-1-hourly-totals/2021-0{month}/2021-0{month}-{d}.csv") |
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else : |
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file_path = f"data/light-meter-1-hourly-totals/2021-0{month}/2021-0{month}-{d}.csv" |
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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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dates.append(f"2021-0{month}-{d}") |
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file_data.append(single_file.values[1:]) |
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p = figure(title="Total Hourly Reading for Light Meter 1 (Andy)", |
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x_axis_label="Hour", |
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y_axis_label="Total Readings", |
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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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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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for day in dates : |
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for row in file_data : |
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y_vals = [] |
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for data in row : |
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reading = data[1] |
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y_vals.append(reading) |
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p.line(x = np.asarray(x_vals).astype(str), |
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y = np.asarray(y_vals).astype(int), |
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# legend_label=f"{day}", |
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line_color=random_colour()) |
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output_file("output/lm1-hourly-totals.html", |
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title="Total Hourly Reading for Light Meter 1") |
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save(p)
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