我们从Python开源项目中，提取了以下7个代码示例，用于说明如何使用wordcloud.STOPWORDS。
def create_cloud(self): # Return Bing search snippets text = self.return_txt() # Get mask image from Bing image_mask = np.array(self.return_img()) # potential feature stopwords = set(STOPWORDS) # stopwords.add(search_modifier) wordcloud = WordCloud(background_color="white", mask=image_mask, stopwords=stopwords) wordcloud.generate(text) image_colors = ImageColorGenerator(image_mask) plt.imshow(image_mask, cmap=plt.cm.gray, interpolation="None") plt.imshow(wordcloud.recolor(color_func=image_colors), alpha=.8, interpolation='None') plt.axis("off") return plt
def wcloud(text): mask = np.array(Image.open("face_mask.png")) #choose mask stopwords = set(STOPWORDS) wc = WordCloud(background_color="white", mask=mask, max_words=80, stopwords=stopwords, width=800, height=400, mode="RGB", relative_scaling=0.5, ) text = clean_text(text) wc.generate(text) #save image file_name = raw_input("Enter any name for the Word Cloud image:") +'.png' wc.to_file(file_name) return
def generateWordCloud(text): # read the mask / color image # taken from http://jirkavinse.deviantart.com/art/quot-Real-Life-quot-Alice-282261010 d = path.dirname(__file__) cloud_coloring = np.array(Image.open(path.join(d, "us-mask-white.png"))) stopwords = set(STOPWORDS) stopwords.add("said") wc = WordCloud(background_color="black", max_words=2000, mask=cloud_coloring, stopwords=stopwords, max_font_size=40, random_state=42) # generate word cloud wc.generate(text) # create coloring from image image_colors = ImageColorGenerator(cloud_coloring) # show plt.imshow(wc) plt.axis("off") plt.show()
def generateTable(text, n=5): # Start by getting a frequency dictionary d = path.dirname(__file__) cloud_coloring = np.array(Image.open(path.join(d, "us-mask-white.png"))) stopwords = set(STOPWORDS) stopwords.add("said") wc = WordCloud(background_color="black", max_words=2000, mask=cloud_coloring, stopwords=stopwords, max_font_size=40, random_state=42) frequenciesDict = wc.process_text(text) words = frequenciesDict.keys() freq = frequenciesDict.values() frequencies = pd.DataFrame({ 'words' : words, 'frequencies' : freq }) frequencies.sort_values('frequencies', ascending = False, inplace = True) print '\nTop 5 Terms\n' print frequencies.head(n = n).to_string(index = False) print '\n'
def title_word_cloud(): """ ??????? """ text = '' wc = WordCloud(background_color='white', # ?????? stopwords=STOPWORDS, max_words=1000, # ????????? font_path='C:/Python27/Lib/site-packages/matplotlib/mpl-data/fonts/ttf/simhei.ttf', # ????????????????? max_font_size=50, # ??????? random_state=30, # ?????????????????????? ) with open('rent_ave.csv') as csvfile: reader = [each for each in csv.DictReader(csvfile)] for row in reader: text += row[u'title'] + ' ' print jieba_clear_text(text) wc.generate(jieba_clear_text(text)) plt.imshow(wc) plt.axis('off') plt.show()
def drawWordCloud(word_text, filename): mask = imread('hello.jpg') my_wordcloud = WordCloud( background_color='white', # ?????? mask=mask, # ?????? max_words=2000, # ????????? stopwords=STOPWORDS, # ????? font_path='/System/Library/Fonts/Hiragino Sans GB W6.ttc', # ????????????????? max_font_size=50, # ??????? random_state=30, # ?????????????????????? scale=1 ).generate(word_text) image_colors = ImageColorGenerator(mask) my_wordcloud.recolor(color_func=image_colors) # ???????? plt.imshow(my_wordcloud) plt.axis("off") plt.show() # ???? my_wordcloud.to_file(filename=filename) print()
def drawWordCloud(word_text, filename): mask = imread('bike.jpg') my_wordcloud = WordCloud( background_color='white', # ?????? mask=mask, # ?????? max_words=2000, # ????????? stopwords=STOPWORDS, # ????? font_path='/System/Library/Fonts/Hiragino Sans GB W6.ttc', # ????????????????? max_font_size=50, # ??????? random_state=30, # ?????????????????????? scale=1.3 ).generate(word_text) image_colors = ImageColorGenerator(mask) my_wordcloud.recolor(color_func=image_colors) # ???????? plt.imshow(my_wordcloud) plt.axis("off") plt.show() # ???? my_wordcloud.to_file(filename=filename) print()
