72 lines
2.3 KiB
Python
Executable File
72 lines
2.3 KiB
Python
Executable File
#!/usr/bin/env python
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# -*- coding: utf-8 -*-
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#####################################
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#
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# This program source code file is part of KiCad, a free EDA CAD application.
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#
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# Copyright (C) 2016 Nick Østergaard <oe.nick at gmail dot com>
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# Copyright (C) 2016 KiCad Developers
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#
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# License GNU GPL Version 3 or any later version.
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#
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#####################################
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import matplotlib.pyplot as plt
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import csv
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import numpy as np
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import time
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# Initialize data structure variable
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data = []
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# Read CSV file
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with open('i18n_status.csv', 'r') as csvfile:
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spamreader = csv.reader(csvfile, delimiter=';')
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for row in spamreader:
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data.append(row)
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# Replace empyt values with zero and convert numbers to int
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for index,value in np.ndenumerate( data ):
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if value=='':
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data[index[0]][index[1]] = 0
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try:
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data[index[0]][index[1]] = int(data[index[0]][index[1]])
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except:
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pass
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# Sort data after mostly translated
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data[1:] = sorted(data[1:], key=lambda x: int(x[1]), reverse=True)
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# Prepare some number for formatting the plot
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N = len(data[1:]) # number of languages
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width = 0.35 # the width of the bars
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ind = np.arange(N)*width*5 # the x locations for the groups
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# Plot the bars
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fig, ax = plt.subplots()
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rects1 = ax.bar(ind, list(zip(*data))[1][1:], width, color='b')
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rects2 = ax.bar(ind+width, list(zip(*data))[2][1:], width, color='r')
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rects3 = ax.bar(ind+2*width, list(zip(*data))[3][1:], width, color='y')
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# Plot ceiling
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max_nof_strings = sum(map(int, data[1][1:4]))
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plt.plot([0,max(ind)+3*width],[max_nof_strings,max_nof_strings], color='k', linewidth='2')
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ax.set_xlim([0,max(ind)+3*width])
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# Add some text for labels, title and axes ticks
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ax.set_ylabel('Number of strings')
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ax.set_title('Translation status')
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ax.set_xticks(ind+width*1.5)
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ax.set_xticklabels(list(zip(*data))[0][1:])
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ax.yaxis.grid(True, which='both') # horizontal lines
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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)
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plt.figtext(0.99, 0.96, time.strftime("%d/%m %Y"), horizontalalignment='right')
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plt.subplots_adjust(left=0.07, right=0.99, top=0.95, bottom=0.12)
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fig.set_size_inches(12, 8)
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fig.savefig('i18n_status.svg')
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# Show the magic to the user
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plt.show()
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