人生苦短，我学Python-007：文件和数据格式化

#AutoTraceDraw.py
import turtle as t
t.title('自动轨迹绘制')
t.setup(800, 600, 0, 0)
t.pencolor("red")
t.pensize(5)
#数据读取
datals = []
f = open("data.txt")
for line in f:
    line = line.replace("\n","")
    datals.append(list(map(eval, line.split(","))))
f.close()
#自动绘制
for i in range(len(datals)):
    t.pencolor(datals[i][3],datals[i][4],datals[i][5])
    t.fd(datals[i][0])
    if datals[i][1]:
        t.rt(datals[i][2])
    else:
        t.lt(datals[i][2])

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data.txt

//////////////////

300,0,144,1,0,0
300,0,144,0,1,0
300,0,144,0,0,1
300,0,144,1,1,0
300,0,108,0,1,1
184,0,72,1,0,1
184,0,72,0,0,0
184,0,72,0,0,0
184,0,72,0,0,0
184,1,72,1,0,1
184,1,72,0,0,0
184,1,72,0,0,0
184,1,72,0,0,0
184,1,72,0,0,0
184,1,720,0,0,0

#GovRptWordCloudv1.py
import jieba
import wordcloud
f = open("新时代中国特色社会主义.txt", "r", encoding="utf-8")

t = f.read()
f.close()
ls = jieba.lcut(t)

txt = " ".join(ls)
w = wordcloud.WordCloud( \
    width = 1000, height = 700,\
    background_color = "white",
    font_path = "msyh.ttc"    
    )
w.generate(txt)
w.to_file("grwordcloud.png")

#GovRptWordCloudv1.py
import jieba
import wordcloud
f = open("关于实施乡村振兴战略的意见.txt", "r", encoding="utf-8")

t = f.read()
f.close()
ls = jieba.lcut(t)

txt = " ".join(ls)
w = wordcloud.WordCloud( \
    width = 1000, height = 700,\
    background_color = "white",
    font_path = "msyh.ttc"    
    )
w.generate(txt)
w.to_file("grwordcloud.png")

#GovRptWordCloudv1.py
import jieba
import wordcloud
f = open("新时代中国特色社会主义.txt", "r", encoding="utf-8")

t = f.read()
f.close()
ls = jieba.lcut(t)

txt = " ".join(ls)
w = wordcloud.WordCloud( \
    width = 1000, height = 700,\
    background_color = "white",
    font_path = "msyh.ttc", max_words = 15
    )
w.generate(txt)
w.to_file("grwordcloud.png")

#GovRptWordCloudv1.py
import jieba
import wordcloud
f = open("关于实施乡村振兴战略的意见.txt", "r", encoding="utf-8")

t = f.read()
f.close()
ls = jieba.lcut(t)

txt = " ".join(ls)
w = wordcloud.WordCloud( \
    width = 1000, height = 700,\
    background_color = "white",
    font_path = "msyh.ttc",
    max_words = 15
    )
w.generate(txt)
w.to_file("grwordcloud.png")

#GovRptWordCloudv2.py
import jieba
import wordcloud
from scipy.misc import imread
mask = imread("fivestart.png")
excludes = { }
f = open("新时代中国特色社会主义.txt", "r", encoding="utf-8")
t = f.read()
f.close()
ls = jieba.lcut(t)
txt = " ".join(ls)
w = wordcloud.WordCloud(\
    width = 1000, height = 700,\
    background_color = "white",
    font_path = "msyh.ttc", mask = mask
    )
w.generate(txt)
w.to_file("grwordcloudm.png")

#GovRptWordCloudv2.py
import jieba
import wordcloud
from scipy.misc import imread
mask = imread("fivestart.png")
excludes = { }
f = open("关于实施乡村振兴战略的意见.txt", "r", encoding="utf-8")
t = f.read()
f.close()
ls = jieba.lcut(t)
txt = " ".join(ls)
w = wordcloud.WordCloud(\
    width = 1000, height = 700,\
    background_color = "white",
    font_path = "msyh.ttc", mask = mask
    )
w.generate(txt)
w.to_file("grwordcloudm.png")

#GovRptWordCloudv2.py
import jieba
import wordcloud
from scipy.misc import imread
mask = imread("chinamap.jpg")
excludes = { }
f = open("新时代中国特色社会主义.txt", "r", encoding="utf-8")
t = f.read()
f.close()
ls = jieba.lcut(t)
txt = " ".join(ls)
w = wordcloud.WordCloud(\
    width = 1000, height = 700,\
    background_color = "white",
    font_path = "msyh.ttc", mask = mask
    )
w.generate(txt)
w.to_file("grwordcloudm.png")

#GovRptWordCloudv2.py
import jieba
import wordcloud
from scipy.misc import imread
mask = imread("chinamap.jpg")
excludes = { }
f = open("关于实施乡村振兴战略的意见.txt", "r", encoding="utf-8")
t = f.read()
f.close()
ls = jieba.lcut(t)
txt = " ".join(ls)
w = wordcloud.WordCloud(\
    width = 1000, height = 700,\
    background_color = "white",
    font_path = "msyh.ttc", mask = mask
    )
w.generate(txt)
w.to_file("grwordcloudm.png")