def make_chart(self,filename):#pyechart
#变量此时的数据类型:<class 'numpy.ndarray'>，需转化为列表
(time,confirm,heal,dead,add,suspect)=np.loadtxt(filename,\
skiprows=1,\
dtype='str',\
delimiter=',',\
usecols=(0,1,2,3,4,5),\
unpack=True)
#新建图表
chart =Line()#init_opts=opts.InitOpts(theme=ThemeType.LIGHT)
#设置图表标题
chart.set_global_opts(title_opts={"text": "全国NCP疫情趋势图", "subtext": self.timeNum})#
#设置x,y轴
chart.add_xaxis([i[-4:] for i in time])
chart.add_yaxis("确诊", list(confirm),symbol=" ",is_symbol_show=True)#,is_connect_nones=False
chart.add_yaxis("治愈", list(heal))
chart.add_yaxis("死亡", list(dead))
chart.add_yaxis("新增确诊", list(add))
chart.add_yaxis("疑似病例", list(suspect))
chart.width=100
chart.page_title="NCP疫情动态"
chart.theme="black"
#保存为本地文件
# render 会生成本地 HTML 文件，默认会在当前目录生成 render.html 文件，bar.render("mycharts.html")
make_snapshot(snapshot, chart.render("main.html"), "main.png")
os.startfile(os.getcwd()+"\\main.html")#打开文件
def make_chart(self):
(year,population,men)=np.loadtxt("中国70年人口数据.csv",
dtype="str",
delimiter=",",
skiprows=(1),
usecols=(0,1,2),
unpack=True)
year=list(year)[::-1]
population=list(population)[::-1]
chart=Line()
chart.add_xaxis(year)
chart.add_yaxis("总人口(人)",population)
# c = Line().add_xaxis(year).add_yaxis("总人口(人)", population)
# chart.overlap(c)
chart.width=100
chart.render("main.html")
os.startfile(os.getcwd()+"\\main.html")#打开html文件
print(population)