Drop legacy step mode data formatter
parent
b609f46d26
commit
f6909ae395
|
@ -44,80 +44,6 @@ from ..log import get_logger
|
|||
log = get_logger(__name__)
|
||||
|
||||
|
||||
# TODO: numba this instead..
|
||||
# def step_path_arrays_from_1d(
|
||||
# x: np.ndarray,
|
||||
# y: np.ndarray,
|
||||
# include_endpoints: bool = True,
|
||||
|
||||
# ) -> (np.ndarray, np.ndarray):
|
||||
# '''
|
||||
# Generate a "step mode" curve aligned with OHLC style bars
|
||||
# such that each segment spans each bar (aka "centered" style).
|
||||
|
||||
# '''
|
||||
# # y_out = y.copy()
|
||||
# # x_out = x.copy()
|
||||
|
||||
# # x2 = np.empty(
|
||||
# # # the data + 2 endpoints on either end for
|
||||
# # # "termination of the path".
|
||||
# # (len(x) + 1, 2),
|
||||
# # # we want to align with OHLC or other sampling style
|
||||
# # # bars likely so we need fractinal values
|
||||
# # dtype=float,
|
||||
# # )
|
||||
|
||||
# x2 = np.broadcast_to(
|
||||
# x[:, None],
|
||||
# (
|
||||
# x.size + 1,
|
||||
# # 4, # only ohlc
|
||||
# 2,
|
||||
# ),
|
||||
# ) + np.array([-0.5, 0.5])
|
||||
|
||||
# # x2[0] = x[0] - 0.5
|
||||
# # x2[1] = x[0] + 0.5
|
||||
# # x2[0, 0] = x[0] - 0.5
|
||||
# # x2[0, 1] = x[0] + 0.5
|
||||
# # x2[1:] = x[:, np.newaxis] + 0.5
|
||||
# # import pdbpp
|
||||
# # pdbpp.set_trace()
|
||||
|
||||
# # flatten to 1-d
|
||||
# # x_out = x2.reshape(x2.size)
|
||||
# # x_out = x2
|
||||
|
||||
# # we create a 1d with 2 extra indexes to
|
||||
# # hold the start and (current) end value for the steps
|
||||
# # on either end
|
||||
# y2 = np.empty(
|
||||
# (len(y) + 1, 2),
|
||||
# dtype=y.dtype,
|
||||
# )
|
||||
# y2[:] = y[:, np.newaxis]
|
||||
# # y2[-1] = 0
|
||||
|
||||
# # y_out = y2
|
||||
|
||||
# # y_out = np.empty(
|
||||
# # 2*len(y) + 2,
|
||||
# # dtype=y.dtype
|
||||
# # )
|
||||
|
||||
# # flatten and set 0 endpoints
|
||||
# # y_out[1:-1] = y2.reshape(y2.size)
|
||||
# # y_out[0] = 0
|
||||
# # y_out[-1] = 0
|
||||
|
||||
# if not include_endpoints:
|
||||
# return x2[:-1], y2[:-1]
|
||||
|
||||
# else:
|
||||
# return x2, y2
|
||||
|
||||
|
||||
_line_styles: dict[str, int] = {
|
||||
'solid': Qt.PenStyle.SolidLine,
|
||||
'dash': Qt.PenStyle.DashLine,
|
||||
|
|
Loading…
Reference in New Issue