diff options
| -rw-r--r-- | app.py | 145 | ||||
| -rw-r--r-- | poetry.lock | 788 | ||||
| -rw-r--r-- | pyproject.toml | 18 |
3 files changed, 951 insertions, 0 deletions
@@ -0,0 +1,145 @@ +from flask import Flask, render_template, request, redirect, url_for, flash +import json + +import pandas as pd +import numpy as np + +import matplotlib +matplotlib.use('Agg') +import matplotlib.pyplot as plt +import matplotlib.font_manager as font_manager + +font_path = 'times_new_roman.ttf' +times_new_roman = font_manager.FontProperties(fname=font_path, style='normal') + +def plot_data( + x_data, y_data, std_dev_data=None, + title=None, x_label=None, y_label=None, + data_point_color='#ff0000', plot_background_color='#ffffff', constant_line=[], + enable_trendline=True, enable_grid=False, + data_series_title="Data Series", + trendline_color='#00ff00' + ): + fig, ax = plt.subplots(dpi=300) + + if (std_dev_data): + main_plot = ax.errorbar(x_data, y_data, yerr=std_dev_data, fmt='o', ecolor='black', capsize=5, label=data_series_title, color=data_point_color) + else: + main_plot = ax.plot(x_data, y_data, 'o', color=data_point_color, label=data_series_title) + + handles = [main_plot] + + if enable_trendline: + z = np.polyfit(x_data, y_data, 2) + p = np.poly1d(z) + h, = ax.plot(x_data,p(x_data), linestyle="dashed", label="Trendline", color=trendline_color) + handles.append(h) + + light_grey = 0.9 + dar_grey = 0.4 + + for idx, line in enumerate(constant_line): + val, name = line + idx += 1 + grey_shade = light_grey - (light_grey - dar_grey) * (idx / len(constant_line)) + color = (grey_shade, grey_shade, grey_shade) + h = ax.axhline(y=val, linestyle='--', color=color, label=name) + handles.append(h) + + ax.grid(True,linestyle=(0,(1,5))) # enable_grid) + + ax.set_facecolor(plot_background_color) + ax.set_xlabel(x_label, fontproperties=times_new_roman) + ax.set_ylabel(y_label, fontproperties=times_new_roman) + title = title.replace(' in ', '\nin ') + ax.set_title(title, wrap=True, fontproperties=times_new_roman) + + for label in (ax.get_xticklabels() + ax.get_yticklabels()): + label.set_fontproperties(times_new_roman) + + print(handles) + print(handles[0]) + print(handles[0].get_label()) + labels = [h.get_label() for h in handles] + ax.legend(handles, labels, loc='best', prop=times_new_roman) + + fig.patch.set_facecolor(plot_background_color) + fig.tight_layout(pad=3.0) + #ax.invert_xaxis() + #ax.set_xscale("log") + + return fig + + +app = Flask(__name__) + +@app.route('/') +def index(): + return render_template('index.html') + +# POST for process_data +@app.route('/process_data', methods=['POST']) +def process_data(): + print(request.form) + x_data_json = request.form.get('xData', '[]') + y_data_json = request.form.get('yData', '[]') + std_dev_data_json = request.form.get('stdDevData', '[]') + + constant_lines = [] + for x in range(0,10): + try: + y = float(request.form['constantLine' + str(x)]) + name = request.form['constantLineLabel' + str(x)] + constant_lines.append((y, name)) + except KeyError: + break + + x_data = json.loads(x_data_json) + print(x_data, x_data_json) + y_data = json.loads(y_data_json) + std_dev_data = json.loads(std_dev_data_json) + + # Process data + x_data = [float(x) for x in x_data] + y_data = [float(y) for y in y_data] + std_dev_data = [float(std_dev) for std_dev in std_dev_data] if std_dev_data else [] + + x_axis_label = request.form.get('xTitle', 'X Axis') + y_axis_label = request.form.get('yTitle', 'Y Axis') + plot_title = request.form.get('plotTitle', 'Plot Title') + + data_point_color = request.form.get('colorPickerDP', '#ff0000') + plot_background_color = request.form.get('colorPickerPlotBackground', '#ffffff') + color_picker_trendline = request.form.get('colorPickerTrendline', '#00ff00') + + data_series_title = request.form.get('dataSeriesTitle', 'Data Series') + + calc_trendline = request.form.get('calcTrendline', 'off') + if calc_trendline == 'on': + enable_trendline = True + else: + enable_trendline = False + + fig = plot_data( + x_data, y_data, std_dev_data=std_dev_data, + title=plot_title, x_label=x_axis_label, y_label=y_axis_label, + data_point_color=data_point_color, plot_background_color=plot_background_color, + constant_line=constant_lines, data_series_title=data_series_title, + enable_trendline=enable_trendline, + trendline_color=color_picker_trendline + ) + + # Return plot as image + from io import BytesIO + import base64 + buffer = BytesIO() + fig.savefig(buffer, format='png') + buffer.seek(0) + + image_base64 = base64.b64encode(buffer.getvalue()).decode('utf-8').replace('\n', '') + + # Embed base64 image in HTML + return '<img src="data:image/png;base64,{}">'.format(image_base64) + +if __name__ == '__main__': + app.run(port=8080,debug=True)
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