Fixed indentation issues

wordcloud_cnn.py

@@ -5,7 +5,6 @@
 from wordcloud import WordCloud, STOPWORDS
 from palettable.colorbrewer.qualitative import Dark2_8
 
-
 def color_func(word, font_size, position, orientation, random_state=None, **kwargs):
     return tuple(Dark2_8.colors[random.randint(0,7)])
 
@@ -17,9 +16,9 @@ def color_func(word, font_size, position, orientation, random_state=None, **kwar
 
 message = ''
 with open(csv_path, 'rb') as csvfile:
-		 reader = csv.DictReader(csvfile)
-		 for row in reader:
-		 		message += " " + row['link_name']
+	reader = csv.DictReader(csvfile)
+	for row in reader:
+		message += " " + row['link_name']
 
 # http://stackoverflow.com/questions/7911451/pil-convert-png-or-gif-with-transparency-to-jpg-without
 icon_path = fa_path + "%s.png" % icon

wordcloud_cnn_reactions.py

@@ -42,27 +42,26 @@
     		mask.putpixel((x, y), (r, g, b))
 
 # create coloring from image
-mask.save('test2.jpg')
 image_colors = ImageColorGenerator(np.array(mask))
 
 pattern = re.compile("[^\w']")
 tokens_dict = {}
 
 with open(csv_path, 'rb') as csvfile:
-		 reader = csv.DictReader(csvfile)
-		 for row in reader:
-			text = row['link_name'].lower()
-			reactions = int(row['num_reactions'])
-			
-			# Map each reactions count to a word,
-			# e.g.: {'futurist': [6599], 'ditch': [4667, 936, 298]}
-			
-			tokens = pattern.sub(' ', text).split()
-			for token in tokens:
-				if token not in tokens_dict.keys():
-					tokens_dict[token] = [reactions]
-				else:
-					tokens_dict[token].append(reactions)
+	reader = csv.DictReader(csvfile)
+	for row in reader:
+		text = row['link_name'].lower()
+		reactions = int(row['num_reactions'])
+
+		# Map each reactions count to a word,
+		# e.g.: {'futurist': [6599], 'ditch': [4667, 936, 298]}
+
+		tokens = pattern.sub(' ', text).split()
+		for token in tokens:
+			if token not in tokens_dict.keys():
+				tokens_dict[token] = [reactions]
+			else:
+				tokens_dict[token].append(reactions)
 
 # Calculate the average amount of reactions for headlines containing word
 words_dict = [(k, np.mean(np.array(v))) for k, v in tokens_dict.items() if len(v) >= 20]

wordcloud_dataisbeautiful.py

@@ -4,7 +4,6 @@
 from PIL import Image
 from wordcloud import WordCloud, STOPWORDS
 
-
 def grey_color_func(word, font_size, position, orientation, random_state=None, **kwargs):
     return "hsl(0, 0%%, %d%%)" % random.randint(10, 50)
 
@@ -16,10 +15,10 @@ def grey_color_func(word, font_size, position, orientation, random_state=None, *
 
 words_array = []
 with open(csv_path, 'rb') as csvfile:
-		 reader = csv.DictReader(csvfile)
-		 for row in reader:
-		 	if row['word'] not in STOPWORDS:
-		 		words_array.append((row['word'].upper(), float(row['num_words'])))
+	reader = csv.DictReader(csvfile)
+		for row in reader:
+			if row['word'] not in STOPWORDS:
+				words_array.append((row['word'].upper(), float(row['num_words'])))
 
 # http://stackoverflow.com/questions/7911451/pil-convert-png-or-gif-with-transparency-to-jpg-without
 icon_path = fa_path + "%s.png" % icon

wordcloud_github.py

@@ -4,7 +4,6 @@
 from PIL import Image
 from wordcloud import WordCloud, STOPWORDS
 
-
 def grey_color_func(word, font_size, position, orientation, random_state=None, **kwargs):
     return "hsl(0, 0%%, %d%%)" % random.randint(10, 50)
 
@@ -14,13 +13,12 @@ def grey_color_func(word, font_size, position, orientation, random_state=None, *
 
 icon = "github"
 
-
 words_array = []
 with open(csv_path, 'rb') as csvfile:
-		 reader = csv.DictReader(csvfile)
-		 for row in reader:
-		 	if row['word'] not in STOPWORDS:
-		 		words_array.append((row['word'].upper(), float(row['num_words'])))
+	reader = csv.DictReader(csvfile)
+	for row in reader:
+		if row['word'] not in STOPWORDS:
+			words_array.append((row['word'].upper(), float(row['num_words'])))
 
 # http://stackoverflow.com/questions/7911451/pil-convert-png-or-gif-with-transparency-to-jpg-without
 icon_path = fa_path + "%s.png" % icon

wordcloud_yelp_neg.py

@@ -5,7 +5,6 @@
 from wordcloud import WordCloud, STOPWORDS
 from palettable.colorbrewer.sequential import Reds_9
 
-
 def color_func(word, font_size, position, orientation, random_state=None, **kwargs):
     return tuple(Reds_9.colors[random.randint(2,8)])
 
@@ -17,10 +16,10 @@ def color_func(word, font_size, position, orientation, random_state=None, **kwar
 
 words_array = []
 with open(csv_path, 'rb') as csvfile:
-		 reader = csv.DictReader(csvfile)
-		 for row in reader:
-		 	if row['stars'] is '1' and row['word'] not in STOPWORDS:
-		 		words_array.append((row['word'].upper(), float(row['count'])))
+	reader = csv.DictReader(csvfile)
+		for row in reader:
+			if row['stars'] is '1' and row['word'] not in STOPWORDS:
+				words_array.append((row['word'].upper(), float(row['count'])))
 
 # http://stackoverflow.com/questions/7911451/pil-convert-png-or-gif-with-transparency-to-jpg-without
 icon_path = fa_path + "%s.png" % icon

wordcloud_yelp_pos.py

@@ -5,7 +5,6 @@
 from wordcloud import WordCloud, STOPWORDS
 from palettable.colorbrewer.sequential import Greens_9
 
-
 def color_func(word, font_size, position, orientation, random_state=None, **kwargs):
     return tuple(Greens_9.colors[random.randint(2,8)])
 
@@ -17,10 +16,10 @@ def color_func(word, font_size, position, orientation, random_state=None, **kwar
 
 words_array = []
 with open(csv_path, 'rb') as csvfile:
-		 reader = csv.DictReader(csvfile)
-		 for row in reader:
-		 	if row['stars'] is '5' and row['word'] not in STOPWORDS:
-		 		words_array.append((row['word'].upper(), float(row['count'])))
+	reader = csv.DictReader(csvfile)
+	for row in reader:
+			if row['stars'] is '5' and row['word'] not in STOPWORDS:
+				words_array.append((row['word'].upper(), float(row['count'])))
 
 # http://stackoverflow.com/questions/7911451/pil-convert-png-or-gif-with-transparency-to-jpg-without
 icon_path = fa_path + "%s.png" % icon