Data processing and plotting for 'Personal Flash' artworks.
https://www.nicolaellisandritherdon.com
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57 lines
2.2 KiB
57 lines
2.2 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 datetime |
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from datetime import datetime |
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import re |
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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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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 month in range(6, 8, 1) : |
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for day in range(0, 31, 1) : |
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p = figure(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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for meter in range(1, 3) : |
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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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15 |
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if (day <= 13) : |
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print(f"Skipping: 2021-0{month}-{d} -- missing data...") |
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else : |
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print(f"PROCESSING: 2021-0{month}-{day} for Meter {meter}...") |
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file_data = [] |
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file_path = f"data/light-meter-{meter}/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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file_data.append(single_file.values[1:]) |
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counter = 0 |
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for row in file_data : |
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x_vals = [] |
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y_vals = [] |
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for data in row : |
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# print(f"Counter: {counter}") |
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x_vals.append(counter) |
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y_vals.append(data[1]) |
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counter += 1 |
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p.line(x = np.asarray(x_vals).astype(int), |
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y = np.asarray(y_vals).astype(int), |
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legend_label=f"Meter: {meter}", |
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line_color=random_colour()) |
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counter = 0 |
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p.title = f"Side-by-Side Comparison: 2021-0{month}-{day}" |
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output_file(f"output/side-by-side-day-0{month}-{d}.html", |
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title=f"Side-by-Side Comparison: 2021-0{month}-{d}") |
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save(p)
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