mirror of
https://github.com/wassname/pandas-ta.git
synced 2026-06-27 16:10:07 +08:00
James Sawyer
59 lines
1.5 KiB
Python
59 lines
1.5 KiB
Python
# -*- coding: utf-8 -*-
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from pandas_ta.utils import get_offset, verify_series
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def increasing(close, length=None, asint=True, offset=None, **kwargs):
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"""Indicator: Increasing"""
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# Validate Arguments
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close = verify_series(close)
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length = int(length) if length and length > 0 else 1
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offset = get_offset(offset)
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# Calculate Result
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increasing = close.diff(length) > 0
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if asint:
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increasing = increasing.astype(int)
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# Offset
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if offset != 0:
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increasing = increasing.shift(offset)
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# Handle fills
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if "fillna" in kwargs:
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increasing.fillna(kwargs["fillna"], inplace=True)
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if "fill_method" in kwargs:
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increasing.fillna(method=kwargs["fill_method"], inplace=True)
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# Name and Categorize it
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increasing.name = f"INC_{length}"
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increasing.category = "trend"
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return increasing
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increasing.__doc__ = """Increasing
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Returns True or False if the series is increasing over a periods. By default,
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it returns True and False as 1 and 0 respectively with kwarg 'asint'.
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Sources:
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Calculation:
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increasing = close.diff(length) > 0
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if asint:
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increasing = increasing.astype(int)
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Args:
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close (pd.Series): Series of 'close's
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length (int): It's period. Default: 1
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asint (bool): Returns as binary. Default: True
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offset (int): How many periods to offset the result. Default: 0
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Kwargs:
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fillna (value, optional): pd.DataFrame.fillna(value)
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fill_method (value, optional): Type of fill method
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Returns:
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pd.Series: New feature generated.
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"""
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