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‎.idea/encodings.xml‎

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‎.idea/workspace.xml‎

Lines changed: 339 additions & 401 deletions
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‎matplp/jieba/cipin.py‎

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# seg_list = jieba.cut(text, cut_all=False) #精确模式（默认是精确模式）
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seg_list = jieba.cut(text) # 精确模式（默认是精确模式）
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for va in seg_list:
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print(va)
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print(seg_list)
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print("[精确模式]: ", " ".join(seg_list))
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# seg_list2 = jieba.cut(text, cut_all=True) #全模式
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# print("[全模式]: ", " ".join(seg_list2))
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seg_list2 = jieba.cut(text, cut_all=True) #全模式
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print("[全模式]: ", " ".join(seg_list2))
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seg_list3 = jieba.cut_for_search(text) #搜索引擎模式
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print("[搜索引擎模式]: "," ".join(seg_list3))

‎matplp/jieba/ciyun2.py‎

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text = " ".join(ags)
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text="快速分析—持久储存 细致图表—比分数告诉你的更多 分析报告—用数据告诉你的状态 错题题库—精准拍搜 人工智能—回归预测 移动pc—随时随地"
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print(text)
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text=['快速','gagdagda','gadgdag','aaaa','ggggg','hrrrrr','grgrgr','grgrg']
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text=' '.join(text)
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#backgroud_Image = plt.imread('tt.jpg')#如果需要个性化词云
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wc = WordCloud(background_color="white",
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width=1500, height=1200,

‎matplp/jieba/image/jishu.png‎

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‎matplp/jieba/zzz.png‎

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‎matplp/matplotlib/bingzhuang.py‎

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# -*- coding: utf-8 -*
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from matplotlib.font_manager import FontManager, FontProperties
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import matplotlib as mpl
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import matplotlib.pyplot as plt
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import matplotlib
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matplotlib.rcParams['font.sans-serif'] = ['SimHei']
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matplotlib.rcParams['axes.unicode_minus'] = False
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# 使用Mac系统自带的中问字体
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# def getChineseFont():
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# return FontProperties(fname='/System/Library/Fonts/STHeiti Medium.ttc')
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# 设置图片大小
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# plt.figure(figsize=(9,6))
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label = u'超载', u'船员责任心不强', u'船员驾驶技术太差', u'通航环境差', u'海事、港航监管不到位', u'船舶过于老旧', u'冒险航行' # 各类别标签
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color = 'red', 'orange', 'yellow', 'green', 'blue', 'gray', 'goldenrod' # 各类别颜色
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size = [34, 5, 6, 14, 1, 10, 23] # 各类别占比
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explode = (0.2, 0, 0, 0, 0, 0, 0) # 各类别的偏移半径
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# plt.subplot(2,3,1)
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# 绘制饼状图
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pie = plt.pie(size, colors=color, explode=explode, labels=label, shadow=True, autopct='%1.1f%%')
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# 饼状图呈正圆
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for font in pie[1]:
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font.set_size(8)
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for digit in pie[2]:
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digit.set_size(8)
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plt.axis('equal')
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plt.title(u'你认为砂石船发生事故的主要原因在于', fontsize=12)
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plt.legend( loc=0, bbox_to_anchor=(0.82, 1)) # 图例
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# 设置legend的字体大小
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leg = plt.gca().get_legend()
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ltext = leg.get_texts()
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plt.setp(ltext, fontsize=6)
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# 显示图
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plt.show()

‎pyecharts2/地图/DD.csv‎

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