Times

polars_ta.tdx.times

Functions:

Name	Description
FROMOPEN	返回当前时刻距开盘有多少分钟
FROMOPEN_1	返回当前时刻距开盘有多少分钟。范围1~240

FROMOPEN(t: Expr) -> Expr

返回当前时刻距开盘有多少分钟

范围0~240,开盘前为0，10点为31

Examples:

from datetime import datetime

import polars as pl

from polars_ta.tdx.times import FROMOPEN, FROMOPEN1

df = pl.DataFrame({'datetime': [ datetime(2025, 1, 1, 0, 0), datetime(2025, 1, 1, 9, 25), datetime(2025, 1, 1, 9, 30, 57), datetime(2025, 1, 1, 9, 31), datetime(2025, 1, 1, 10, 0), datetime(2025, 1, 1, 13, 0), ]})

df = df.with_columns( FROMOPEN=FROMOPEN(pl.col('datetime')), FROMOPEN1=FROMOPEN_1(pl.col('datetime'), 0), FROMOPEN2=FROMOPEN_1(pl.col('datetime'), 60), )

shape: (6, 4) ┌─────────────────────┬──────────┬───────────┬───────────┐ │ datetime ┆ FROMOPEN ┆ FROMOPEN1 ┆ FROMOPEN2 │ │ --- ┆ --- ┆ --- ┆ --- │ │ datetime[μs] ┆ i64 ┆ i64 ┆ i64 │ ╞═════════════════════╪══════════╪═══════════╪═══════════╡ │ 2025-01-01 00:00:00 ┆ 0 ┆ 240 ┆ 240 │ │ 2025-01-01 09:25:00 ┆ 0 ┆ 1 ┆ 1 │ │ 2025-01-01 09:30:57 ┆ 1 ┆ 1 ┆ 2 │ │ 2025-01-01 09:31:00 ┆ 2 ┆ 2 ┆ 3 │ │ 2025-01-01 10:00:00 ┆ 31 ┆ 31 ┆ 32 │ │ 2025-01-01 13:00:00 ┆ 121 ┆ 121 ┆ 122 │ └─────────────────────┴──────────┴───────────┴───────────┘

FROMOPEN_1(t: Expr, offset: int) -> Expr

返回当前时刻距开盘有多少分钟。范围1~240

用于计算量比 1. 竞价量比，分母应当为1 2. 日线数据0~8点时，返回240 3. 日线数据9点时，返回1

Parameters:

Name	Type	Description	Default
t	Expr	时间列	required
offset	int	偏移量，单位秒	required

Notes

每根K线结束时，标签是当前时间的50多秒，而结束时时间已经到下以分钟了，所以建议加60秒