Data processing and plotting for 'Personal Flash' artworks.
https://www.nicolaellisandritherdon.com
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58 lines
2.2 KiB
58 lines
2.2 KiB
1 year ago
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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 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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1 year ago
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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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1 year ago
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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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1 year ago
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if (day <= 13) :
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print(f"Skipping: 2021-0{month}-{d} -- missing data...")
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1 year ago
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else :
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1 year ago
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print(f"PROCESSING: 2021-0{month}-{day} for Meter {meter}...")
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1 year ago
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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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1 year ago
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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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1 year ago
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save(p)
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