Data processing and plotting for 'Personal Flash' artworks.
https://www.nicolaellisandritherdon.com
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56 lines
1.8 KiB
56 lines
1.8 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 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 generate_charts (meter_num) :
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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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if (meter_num == 1) :
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fig_title = f"Readings for Light Meter 1 (Andy) on {file_name}"
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else :
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fig_title = f"Readings for Light Meter 2 (Tony) on {file_name}"
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p = figure(title = fig_title,
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x_axis_label = "Date",
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y_axis_label = "Light Reading",
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x_axis_type = 'datetime',
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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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# p.yaxis.fixed_location = 0
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x_raw_vals = []
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y_raw_vals = []
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for row in file_data :
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x_raw_vals.append(row[0])
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y_raw_vals.append(row[1])
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x_vals = pd.to_datetime(x_raw_vals)
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y_vals = np.asarray(y_raw_vals).astype(int)
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if (meter_num == 1) :
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color = "blue"
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else :
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color = "orange"
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p.line(x = x_vals, y = y_vals, line_width = 2, line_color = color)
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output_file(f"output/lm{meter_num}-{file_name}.html",
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title=f"Light Meter 1: {file_name}")
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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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