From 7156fe917a06fbcd115c5d08a929a794b01f7ccd Mon Sep 17 00:00:00 2001
From: Wojciech Wojnowski <wojciech.wojnowski@pg.edu.pl>
Date: Mon, 8 Jun 2020 15:16:30 +0000
Subject: [PATCH] Added the "save annotated image" functionality
---
AGREE.py | 75 ++++++++++++++++++++++++++++++++++++++++++++++++++++++--
1 file changed, 73 insertions(+), 2 deletions(-)
diff --git a/AGREE.py b/AGREE.py
index 6accd9b..e422ff7 100644
--- a/AGREE.py
+++ b/AGREE.py
@@ -1,6 +1,6 @@
# AGREE, Analytical GREennEss Calculator
# F. Pena-Pereira, W.Wojnowski, M. Tobiszewski 2020
-# v.0.4 (beta)
+# v.0.5 (beta)
# imports
from tkinter import *
@@ -444,6 +444,77 @@ def pieChart(): # weights, labels, colors
# print(weight_12.get())
+# **************************************
+
+# generate the pie chart (plot) with a circle decal in the middle, together with annotations explaining the numbered fields:
+def annotatedPieChart(): # weights, labels, colors
+
+ colors = [colorMapper(var_1), colorMapper(var_2), colorMapper(var_3), colorMapper(var_4), colorMapper(var_5), colorMapper(var_6), colorMapper(var_7), colorMapper(var_8), colorMapper(var_9),
+ colorMapper(var_10), colorMapper(var_11), colorMapper(var_12)]
+
+ weights = [weight_1.get(), weight_2.get(), weight_3.get(), weight_4.get(), weight_5.get(), weight_6.get(), weight_7.get(), weight_8.get(), weight_9.get(), weight_10.get(), weight_11.get(),
+ weight_12.get()]
+ labels = ['1', '2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12']
+
+ index_value = float(final_score.get())
+
+ fig, ax = plt.subplots(figsize=(5, 3), dpi=150)
+ ax.clear()
+ ax.axis('equal')
+ radius = 1.0
+ pie2 = ax.pie(weights, radius=radius, colors=colors, labeldistance=(radius * 0.875), labels=labels,
+ rotatelabels=False, startangle=90, counterclock=False,
+ wedgeprops={"edgecolor": "black", 'linewidth': 1}, textprops={'fontsize': (radius * 10)})
+
+ plt.setp(pie2[1], rotation_mode="anchor", ha="center", va="center")
+ for tx in pie2[1]:
+ rot = tx.get_rotation()
+ tx.set_rotation(rot)
+ # if you want rotated labels:
+ # tx.set_rotation(rot+ 90 + (1 - rot // 180) * 180)
+
+ circle = plt.Circle(xy=(0, 0), radius=(radius * 0.75), facecolor=colorMapper(index_value), edgecolor='black',
+ linewidth=1)
+ plt.gca().add_artist(circle)
+
+ ax.text(0.5, 0.5, str(index_value),
+ verticalalignment='center', horizontalalignment='center',
+ transform=ax.transAxes,
+ color='black', fontsize=(radius * 40))
+
+ # create the annotations which are displayed next to the graph
+ textstr = '\n'.join((
+ r'1. Sample treatment',
+ r'2. Sample amount',
+ r'3. Device positioning',
+ r'4. Sample prep. stages',
+ r'5. Automation, miniaturization',
+ r'6. Derivatization',
+ r'7. Waste',
+ r'8. Analysis throughput',
+ r'9. Energy consumption',
+ r'10. Source of reagents',
+ r'11. Toxicity',
+ r"12. Operator's safety"))
+
+ props = dict(facecolor='white', alpha=0.0)
+
+ # display the text (1.05 means the object will appear to the right of the plot):
+ text = ax.text(1.05, 0.83, textstr, transform=ax.transAxes, fontsize=10, verticalalignment='top', bbox=props)
+ fig.tight_layout() # for exporting a compact figure
+
+ # save the image:
+ ftypes = [('PNG file', '.png'), ('All files', '*')]
+ filename = filedialog.asksaveasfilename(filetypes=ftypes, defaultextension='.png')
+ # save the plot in the specified path; the 'tight' option removes the whitespace from around the figure:
+ plt.savefig(filename, bbox_inches='tight')
+
+
+# **************************************
+# add the save annotated plot functionality to the file dropdown menu:
+FileMenu.add_command(label='Generate annotated result of the assessment', command=annotatedPieChart)
+
+
# **************************************
# define a temporary function to test the printing of global variables:
@@ -1322,7 +1393,7 @@ dropDown_10.grid(sticky='w', row=2, column=0, padx=8, pady=8)
def change_dropdown_10(*args):
global var_10
var_10 = None
- if var_3_text.get() == 'select':
+ if var_10_text.get() == 'select':
var_10 = 1.0
else:
var_10 = var_10_text_choices[var_10_text.get()]
--
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