diff --git a/daily-breakdowns.py b/daily-breakdowns.py new file mode 100644 index 0000000..98aab98 --- /dev/null +++ b/daily-breakdowns.py @@ -0,0 +1,55 @@ +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) diff --git a/lm1-dailies.py b/lm1-dailies.py deleted file mode 100644 index 37bfdb5..0000000 --- a/lm1-dailies.py +++ /dev/null @@ -1,40 +0,0 @@ -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 - -def random_colour(): - r = random.randint(0,255) - g = random.randint(0,255) - b = random.randint(0,255) - rgb = [r,g,b] - return rgb - -file_path = "data/light-meter-1/2021-06-17.csv" -single_file = pd.read_csv (file_path, sep="," ,header=None, - index_col=False, dtype='unicode') -file_data = single_file.values[1:] -# print(file_data) - -p = figure(title="Readings for Light Meter 1 (Andy) on INSERT DATE HERE", - x_axis_label="Date", - y_axis_label="Reading", - x_axis_type='datetime', - sizing_mode="stretch_both") -p.axis.major_label_text_font_size = "12px" -p.axis.major_label_standoff = 10 - -x_raw_vals = [] -y_vals = [] -for row in file_data : - x_raw_vals.append(row[0]) - y_vals.append(row[1]) - -x_vals = pd.to_datetime(x_raw_vals) -p.line(x = x_vals, y = y_vals, line_width = 2) - -output_file("output/lm1-INSERT-DATE-HERE.html", - title="Light Meter 1: INSERT DATE HERE") -save(p)