Data processing and plotting for 'Personal Flash' artworks. https://www.nicolaellisandritherdon.com
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from bokeh.plotting import figure, output_file, save, show
from bokeh.models import Legend, ColumnDataSource
import bokeh.palettes
import pandas as pd
import numpy as np
import random
import glob
import os
def generate_charts (meter_num) :
files = glob.glob(f"data/light-meter-{meter_num}/*.csv")
for file_path in files :
single_file = pd.read_csv (file_path, sep="," ,header=None,
index_col=False, dtype='unicode')
file_data = single_file.values[1:]
file_name = os.path.splitext(os.path.basename(file_path))[0]
if (meter_num == 1) :
fig_title = f"Readings for Light Meter 1 (Andy) on {file_name}"
else :
fig_title = f"Readings for Light Meter 2 (Tony) on {file_name}"
p = figure(title = fig_title,
x_axis_label = "Date",
y_axis_label = "Light Reading",
x_axis_type = 'datetime',
sizing_mode = "stretch_both")
p.axis.major_label_text_font_size = "12px"
p.axis.major_label_standoff = 10
# p.yaxis.fixed_location = 0
x_raw_vals = []
y_raw_vals = []
for row in file_data :
x_raw_vals.append(row[0])
y_raw_vals.append(row[1])
x_vals = pd.to_datetime(x_raw_vals)
y_vals = np.asarray(y_raw_vals).astype(int)
if (meter_num == 1) :
color = "blue"
else :
color = "orange"
p.line(x = x_vals, y = y_vals, line_width = 2, line_color = color)
output_file(f"output/lm{meter_num}-{file_name}.html",
title=f"Light Meter 1: {file_name}")
save(p)
print("Generating charts for Light Meter 1...")
generate_charts(1)
print("Generating charts for Light Meter 2...")
generate_charts(2)