willowj / Python_dataee
Licence: mit
python data ; k线蜡烛图
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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,
)
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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