python绘制动态k线及均线,python : pyecharts 1.1.0 画K线图

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pip install pyecharts ; 会安装 pyecharts-1.1.0

画K线图 kline1.py

# coding: utf-8

import os, sys

from pyecharts import options as opts

from pyecharts.charts import Kline

if len(sys.argv) ==2:

code= sys.argv[1]

else:

print('usage: kline1.py code')

sys.exit(1)

if len(code) !=6:

print(' code length is 6')

sys.exit(2)

file1 = code +'.csv'

file2 = code +'_1.html'

if not os.path.exists(file1):

print(file1 +' is not exists.')

sys.exit(3)

# 数据项: [open,close,low,high,volume]

# (即：[开盘值,收盘值,最低值,最高值,成交量])

vlist = []

xlist = []

ylist = []

fp = open(file1,'r')

fp.readline() # 跳过第1行表头: ,date,open,close,high,low,volume,code

for line in fp:

idx,date,open,close,high,low,volume,code = line.strip().split(',')

xlist.append(date)

vlist.append(volume)

ylist.append([open,close,low,high])

print(str(len(xlist)))

kline = Kline()

kline.add_xaxis(xlist).add_yaxis("kline",ylist)

kline.set_global_opts(

xaxis_opts=opts.AxisOpts(is_scale=True),

yaxis_opts=opts.AxisOpts(

is_scale=True,

splitarea_opts=opts.SplitAreaOpts(

is_show=True, areastyle_opts=opts.AreaStyleOpts(opacity=1)

),

),

datazoom_opts=[opts.DataZoomOpts()],

title_opts=opts.TitleOpts(title="日K线图:{0}".format(code)),

)

#kline.set_opts(mark_line_valuedim="close")

kline.render(path=file2)

参考: pyecharts-1.1.0/example/kline_example.py