def to_image(self, file_image, mav=(5, 20, 120, 250), max_k_count=1000, dpi=50):
"""保存成图片
:param file_image: str
图片名称，支持 jpg/png/svg 格式，注意后缀
:param mav: tuple of int
均线系统参数
:param max_k_count: int
设定最大K线数量，这个值越大，生成的图片越长
:param dpi: int
图片分辨率
:return:
"""
plot_ka(self, file_image=file_image, mav=mav, max_k_count=max_k_count, dpi=dpi)
def test_bei_chi():
df = get_kline(ts_code="000001.SH",
end_dt="2020-04-28 15:00:00",
freq='D',
asset='I')
ka = KlineAnalyze(df, name="日线")
plot_ka(ka, file_image="test.jpg")
# 线段背驰
zs1 = {
"start_dt": '2018-07-26 15:00:00',
"end_dt": '2018-10-19 15:00:00',
"direction": "down"
}
zs2 = {
"start_dt": '2018-01-29 15:00:00',
"end_dt": '2018-07-06 15:00:00',
"direction": "down"
}
assert is_bei_chi(ka, zs1, zs2, mode='xd', adjust=0.9)
zs1 = {
"start_dt": '2013-12-10 15:00:00',
"end_dt": '2014-01-20 15:00:00',
"direction": "down"
}
zs2 = {
"start_dt": '2013-09-12 15:00:00',
"end_dt": '2013-11-14 15:00:00',
"direction": "down"
}
assert not is_bei_chi(ka, zs1, zs2, mode='xd', adjust=0.9)
# 笔背驰
zs1 = {"start_dt": '2019-05-17 15:00:00', "end_dt": '2019-06-10 15:00:00'}
zs2 = {"start_dt": '2019-04-08 15:00:00', "end_dt": '2019-05-10 15:00:00'}
assert is_bei_chi(ka, zs1, zs2, mode='bi', adjust=0.9)
zs1 = {"start_dt": '2018-09-28 15:00:00', "end_dt": '2018-10-19 15:00:00'}
zs2 = {"start_dt": '2018-08-28 15:00:00', "end_dt": '2018-09-12 15:00:00'}
assert not is_bei_chi(ka, zs1, zs2, mode='bi', adjust=0.9)