删除文件 fruit.py

fruit.py

@@ -1,168 +0,0 @@
-import glob
-import os
-import jieba
-import wordcloud
-from wordcloud import STOPWORDS
-from matplotlib import pyplot as plt
-
-'''
-纯中文词云
-'''
-def word_cloud_Chinese(file):
-    fb = open(file, 'r', encoding="utf-8")
-    t = fb.read()
-    fb.close()
-
-    stopwords = set()
-    content = [line.strip() for line in open('cn_stopwords.txt', 'r', encoding="utf-8").readlines()]
-    stopwords.update(content)
-
-    ls = jieba.lcut(t)
-    txt = " ".join(ls)
-    w = wordcloud.WordCloud(font_path="STSONG.TTF",
-                            width=700,
-                            height=700,
-                            background_color="white",
-                            stopwords=stopwords)
-    w.generate(txt)
-    w.to_file("123.png")
-
-    plt.imshow(w, interpolation='bilinear')
-    plt.axis('off')
-    plt.tight_layout()
-    plt.show()
-
-
-'''
-纯英文词云
-'''
-
-
-def word_cloud_English(file):
-    fb = open(file, 'r', encoding="utf-8")
-    t = fb.read()
-    fb.close()
-    w = wordcloud.WordCloud(font_path="arial.ttf",
-                            width=1000,
-                            height=700,
-                            background_color="white",
-                            stopwords=STOPWORDS)
-    w.generate(t)
-    w.to_file("123.png")
-
-    plt.imshow(w, interpolation='bilinear')
-    plt.axis('off')
-    plt.tight_layout()
-    plt.show()
-
-
-'''
-中英混合词云
-'''
-
-
-def word_cloud_English_and_Chinese(file):
-    fb = open(file, 'r', encoding="utf-8")
-    t = fb.read()
-    fb.close()
-    stopwords = set()
-    content = [line.strip() for line in open('cn_stopwords.txt', 'r', encoding="utf-8").readlines()]
-    stopwords.update(content)
-    w = wordcloud.WordCloud(font_path="STSONG.TTF",
-                            width=1000,
-                            height=700,
-                            background_color="white",
-                            stopwords=stopwords,
-                            collocations=False
-                            )
-    ls = jieba.lcut(t)
-    t = " ".join(ls)
-    w.generate(t)
-    w.to_file("123.png")
-
-    plt.imshow(w, interpolation='bilinear')
-
-
-'''
-纯中文词频计数
-'''
-
-
-def Chineseword(file):
-    txt = open(file, "r", encoding='utf-8').read()
-    counts = {}  # 通过键值对的形式存储词语及其出现的次数
-    for ch in " ，。：；,《》！？“\”' ''\n'":
-        txt = txt.replace(ch, "")  # 将文本中特殊字符替换为空格
-    words = jieba.lcut(txt)  # 使用精确模式对文本进行分词
-
-    for word in words:
-        if (len(word) == 1):
-            continue
-        else:
-            counts[word] = counts.get(word, 0) + 1  # 遍历所有词语，每出现一次其对应的值加 1
-
-    items = list(counts.items())
-    items.sort(key=lambda x: x[1], reverse=True)  # 根据词语出现的次数进行从大到小排序
-    for i in range(len(items)):
-        print(items[i])
-
-
-'''
-纯英文词频计数
-'''
-
-
-def Englishword(file):
-    fb = open(file, 'r', encoding="utf-8")
-    wordfile = {}
-    for line in fb:
-        line = line.lower()
-        sword = line.strip().split()
-        for word in sword:
-            if word in wordfile:
-                wordfile[word] += 1
-            else:
-                wordfile[word] = 1
-    wordfrehigh = []
-    for wd, fy in wordfile.items():
-        wordfrehigh.append((fy, wd))
-    wordfrehigh.sort(reverse=True)
-    for wd in wordfrehigh:
-        print(wd)
-    fb.close()
-
-
-'''
-中英混合词频计数
-'''
-
-
-def English_and_Chinese(file):
-    fb = open(file, 'r', encoding="utf-8")
-    t = fb.read()
-    ls = jieba.lcut(t)
-    t = " ".join(ls)
-    t = t.lower()
-    for ch in "，。？：；’“！——、~,《》.--?;:'\"!~' ''\n'":
-        t = t.replace(ch, " ")
-    t = t.split(" ")
-
-    wordfile = {}
-    for line in t:
-        sword = line.split()
-        for word in sword:
-            if word in wordfile:
-                wordfile[word] += 1
-            else:
-                wordfile[word] = 1
-    wordfrehigh = []
-    for wd, fy in wordfile.items():
-        wordfrehigh.append((fy, wd))
-    wordfrehigh.sort(reverse=True)
-    for wd in wordfrehigh:
-        print(wd)
-    fb.close()
-
-
-English_and_Chinese("file.txt")
-word_cloud_English_and_Chinese("file.txt")