wd = {}fp=codecs.open("rsa.txt", "r",‘utf-8‘);alllines=fp.readlines();fp.close();for eachline in alllines:    line = eachline.split(‘        ‘)    #print eachline,    wd[line[0]] = int(line[1])print wd

# -*- coding: utf-8 -*-import codecsfp=codecs.open("rs300.txt", "r",‘utf-8‘);wd = []alllines=fp.readlines();fp.close();for eachline in alllines:    line = eachline.split(‘\\‘)    line[1]=int(line[1])    wd.append(line)    #print eachline,print wd

#-*- coding: utf-8 -*-"""Minimal Example===============Generating a square wordcloud from the US constitution using default arguments."""from os import pathfrom wordcloud import WordCloudd = path.dirname(__file__)# Read the whole text. 此处原为处理英文文本，我们修改为传入中文数组#text = open(path.join(d, ‘constitution.txt‘)).read()frequencies = [(u‘知乎‘,5),(u‘小段同学‘,4),(u‘曲小花‘,3),(u‘中文分词‘,2),(u‘样例‘,1)]# Generate a word cloud image 此处原为 text 方法，我们改用 frequencies #wordcloud = WordCloud().generate(text)wordcloud = WordCloud().fit_words(frequencies)# Display the generated image:# the matplotlib way:import matplotlib.pyplot as pltplt.imshow(wordcloud)plt.axis("off")# take relative word frequencies into account, lower max_font_size#wordcloud = WordCloud(max_font_size=40, relative_scaling=.5).generate(text)wordcloud = WordCloud(max_font_size=40, relative_scaling=.5).fit_words(frequencies)plt.figure()plt.imshow(wordcloud)plt.axis("off")plt.show()# The pil way (if you don‘t have matplotlib)#image = wordcloud.to_image()#image.show()

# -*- coding: utf-8 -*-""""Masked wordcloud================Using a mask you can generate wordclouds in arbitrary shapes."""from os import pathfrom PIL import Imageimport numpy as npimport matplotlib.pyplot as pltfrom wordcloud import WordCloud, STOPWORDSd = path.dirname(__file__)# Read the whole text.text = open(path.join(d, ‘alice.txt‘)).read()# read the mask image# taken from# http://www.stencilry.org/stencils/movies/alice%20in%20wonderland/255fk.jpgalice_mask = np.array(Image.open(path.join(d, "huge.jpg")))wc = WordCloud(background_color="white", max_words=2000, mask=alice_mask,               stopwords=STOPWORDS.add("said"))# generate word cloudwc.generate(text)# store to filewc.to_file(path.join(d, "alice.png"))# showplt.imshow(wc)plt.axis("off")plt.figure()plt.imshow(alice_mask, cmap=plt.cm.gray)plt.axis("off")plt.show()

"""Using custom colors====================Using the recolor method and custom coloring functions."""import numpy as npfrom PIL import Imagefrom os import pathimport matplotlib.pyplot as pltimport randomfrom wordcloud import WordCloud, STOPWORDSdef grey_color_func(word, font_size, position, orientation, random_state=None, **kwargs):    return "hsl(0, 0%%, %d%%)" % random.randint(60, 100)d = path.dirname(__file__)# read the mask image# taken from# http://www.stencilry.org/stencils/movies/star%20wars/storm-trooper.gifmask = np.array(Image.open(path.join(d, "huge.jpg")))# movie script of "a new hope"# http://www.imsdb.com/scripts/Star-Wars-A-New-Hope.html# May the lawyers deem this fair use.text = open("a_new_hope.txt").read()# preprocessing the text a little bittext = text.replace("HAN", "Han")text = text.replace("LUKE‘S", "Luke")# adding movie script specific stopwordsstopwords = STOPWORDS.copy()stopwords.add("int")stopwords.add("ext")wc = WordCloud(max_words=1000, mask=mask, stopwords=stopwords, margin=10,               random_state=1).generate(text)# store default colored imagedefault_colors = wc.to_array()plt.title("Custom colors")plt.imshow(wc.recolor(color_func=grey_color_func, random_state=3))wc.to_file("a_new_hope.png")plt.axis("off")plt.figure()plt.title("Default colors")plt.imshow(default_colors)plt.axis("off")plt.show()

#!/usr/bin/env python2"""Image-colored wordcloud========================You can color a word-cloud by using an image-based coloring strategy implemented inImageColorGenerator. It uses the average color of the region occupied by the wordin a source image. You can combine this with masking - pure-white will be interpretedas ‘don‘t occupy‘ by the WordCloud object when passed as mask.If you want white as a legal color, you can just pass a different image to "mask",but make sure the image shapes line up."""from os import pathfrom PIL import Imageimport numpy as npimport matplotlib.pyplot as pltfrom wordcloud import WordCloud, STOPWORDS, ImageColorGeneratord = path.dirname(__file__)# Read the whole text.text = open(path.join(d, ‘alice.txt‘)).read()# read the mask / color image# taken from http://jirkavinse.deviantart.com/art/quot-Real-Life-quot-Alice-282261010alice_coloring = np.array(Image.open(path.join(d, "xhr.jpg")))wc = WordCloud(background_color="white", max_words=2000, mask=alice_coloring,               stopwords=STOPWORDS.add("said"),               max_font_size=40, random_state=42)# generate word cloudwc.generate(text)# create coloring from imageimage_colors = ImageColorGenerator(alice_coloring)# showplt.imshow(wc)plt.axis("off")plt.figure()# recolor wordcloud and show# we could also give color_func=image_colors directly in the constructorplt.imshow(wc.recolor(color_func=image_colors))plt.axis("off")plt.figure()plt.imshow(alice_coloring, cmap=plt.cm.gray)plt.axis("off")plt.show()

wc=WordCloud(background_color="white",max_words=2000,mask=alice_coloring,stopwords=STOPWORDS.add("said"),max_font_size=40,random_state=42,scale =1.5 )