Add python script to plot translation statistics

Requires python with matplotlib
Should work with both python2 and python3

plot_i18n_status.py

@@ -0,0 +1,67 @@
+#!/bin/python
+# -*- coding: utf-8 -*-
+#####################################
+#
+# This program source code file is part of KiCad, a free EDA CAD application.
+#
+# Copyright (C) 2016 Nick Østergaard <oe.nick at gmail dot com>
+# Copyright (C) 2016 KiCad Developers
+#
+# License GNU GPL Version 3 or any later version.
+#
+#####################################
+
+import matplotlib.pyplot as plt
+import csv
+import numpy as np
+import time
+
+# Initialize data structure variable
+data = []
+
+# Read CSV file
+with open('i18n_status.csv', 'r') as csvfile:
+    spamreader = csv.reader(csvfile, delimiter=';')
+    for row in spamreader:
+        data.append(row) 
+
+# Replace empyt values with zero and convert numbers to int
+for index,value in np.ndenumerate( data ):
+    if value=='':
+        data[index[0]][index[1]] = 0
+    try:
+        data[index[0]][index[1]] = int(data[index[0]][index[1]])
+    except:
+        pass
+
+# Sort data after mostly translated
+data[1:] = sorted(data[1:], key=lambda x: int(x[1]), reverse=True)
+
+# Prepare some number for formatting the plot
+N = len(data[1:])          # number of languages
+width = 0.35               # the width of the bars
+ind = np.arange(N)*width*5 # the x locations for the groups
+
+# Plot the bars
+fig, ax = plt.subplots()
+rects1 = ax.bar(ind, list(zip(*data))[1][1:], width, color='b')
+rects2 = ax.bar(ind+width, list(zip(*data))[2][1:], width, color='r')
+rects3 = ax.bar(ind+2*width, list(zip(*data))[3][1:], width, color='y')
+
+# Plot ceiling
+max_nof_strings = sum(map(int, data[1][1:4]))
+plt.plot([0,max(ind)+3*width],[max_nof_strings,max_nof_strings], color='k', linewidth='2')
+ax.set_xlim([0,max(ind)+3*width])
+
+# Add some text for labels, title and axes ticks
+ax.set_ylabel('Number of strings')
+ax.set_title('Translation status')
+ax.set_xticks(ind+width*1.5)
+ax.set_xticklabels(list(zip(*data))[0][1:])
+ax.yaxis.grid(True, which='both') # horizontal lines
+ax.legend((rects1[0], rects2[0], rects3[0]), ('TRANSLATED', 'FUZZY', 'UNTRANSLATED'), loc='upper center', bbox_to_anchor=(0.5, -0.05), fancybox=True, ncol=3)
+plt.figtext(0.99, 0.96, time.strftime("%d/%m %Y"), horizontalalignment='right')
+plt.subplots_adjust(left=0.05, right=0.99, top=0.95, bottom=0.1)
+
+# Show the magic to the user
+plt.show()