] colors = ['r', 'b', 'g', 'y', 'c'] count = 0 fig, ax = plt.subplots() fig.canvas.draw() plt.xticks(np.arange(1, 27)) x = [i for i in xrange(1, 27)] labels = map(chr, range(97, 123)) ax.set_xticklabels(labels) for f in files: lfcounter = LetterFrequencyCount(args=["Novels - P4/" + f]) print "*" * 50 currDict = {} with lfcounter.make_runner() as runner: print runner._input_paths runner.run() for line in runner.stream_output(): key, value = lfcounter.parse_output_line(line) currDict[key] = value total_letters = currDict["total"] currDict.pop("total") for i in currDict.iteritems(): currDict[i[0]] = float(i[1]) / float(total_letters) sortDict = OrderedDict(sorted(currDict.items(), key=lambda t: t[0])) y = [value for letter, value in sortDict.iteritems()]
files = ["TaleOfTwoCities.txt", "Frankenstein.txt", "PrideAndPrejudice.txt", "WutheringHeights.txt", "ParadiseLost.txt"] colors = ['r', 'b', 'g', 'y', 'c'] count = 0 fig, ax = plt.subplots() fig.canvas.draw() plt.xticks(np.arange(1,27)) x = [i for i in xrange(1,27)] labels = map(chr, range(97, 123)) ax.set_xticklabels(labels) for f in files: lfcounter = LetterFrequencyCount(args=["Novels - P4/" + f]) print "*"*50 currDict = {} with lfcounter.make_runner() as runner: print runner._input_paths runner.run() for line in runner.stream_output(): key, value = lfcounter.parse_output_line(line) currDict[key] = value total_letters = currDict["total"] currDict.pop("total") for i in currDict.iteritems(): currDict[i[0]] = float(i[1])/float(total_letters) sortDict = OrderedDict(sorted(currDict.items(), key=lambda t: t[0]))