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willowj/python_dataEE

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#画k线蜡烛图

python_dataEE/plot/kline_candle.py

python: jupyter-notbook #建议使用jupyter-notbook

from kline_candle import Kline_js
import tushare as ts
df = ts.get_hist_data('hs300', ktype='5')
Kline_js('hs300_k-line-5min',
 df,
 ma=('ma10', 'ma20'),
 width=800, height=400,
 )

image

params:

name, df, prices_cols=None, ma=('ma10',), width=1600, height=750, kline_xaxis_pos='top', render_path=None

  • name: str #图例名称
  • df: pandas.DataFrame #columns包含 prices_cols、‘volume’
  • prices_cols : list #默认 [u'open', u'close', u'low', u'high']
  • ma=('ma10',): list or tuple #移动平均周期
  • width=1600, height=750 # 默认图片大小
  • kline_xaxis_pos='top' #k-line图例默认在上方
  • render_path: str #html file path to save

https://github.com/willowj/python_dataEE/blob/master/plot/kline_candle.py

required modules :

pyecharts

pandas

tushare (for test)

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