dataframe
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signal_condiction
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signal_condiction(
dataframe: DataFrame,
*condictions: list[list[Series | Any]],
name: str,
value: int | float = np.nan,
inplace: bool = False,
plot: bool | list[str] = False,
plot_type: Literal["line", "mark"] = "line",
plot_kwargs: dict | None = None,
**kwargs
) -> Series | DataFrame
Define a signal with multiple condiction
Parameters:
-
dataframe
(DataFrame
) –description
-
*condictions
(list[list[Series | Any]]
, default:()
) –Pairs of condiction [
<pandas.Series condiction>
,<value>
] -
name
(str
) –Name of signal, column name when add to DataFrame with inplace=True.
-
value
(int
, default:nan
) –Default value when condiction is not matched. Defaults to 0.
-
inplace
(bool
, default:False
) –description. Defaults to False.
-
plot
(bool | list
, default:False
) –description. Defaults to False.
-
plot_type
(Literal["line", "mark"]
, default:'line'
) –description. Defaults to "line".
-
plot_kwargs
(dict | None
, default:None
) –description. Defaults to None.
Usage
df.i.signal_condiction(
[df["close"] > df["open"], 100],
[df["close"] < df["open"], -100],
name="cdl_direction",
inplace=True,
plot=True,
plot_kwargs=dict(color="green", width=5),
)
Raises:
-
RuntimeError
–description
Returns:
-
Series | DataFrame
–pd.Series | pd.DataFrame: description
Source code in lettrade/indicator/dataframe.py
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signal_direction
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signal_direction(
dataframe: DataFrame,
up: Series,
down: Series,
name: str,
value: int = 0,
value_up: int = 100,
value_down: int = -100,
inplace: bool = False,
plot: bool | list[str] = False,
plot_type: Literal["line", "mark"] = "line",
plot_kwargs: dict | None = None,
**kwargs
) -> Series | DataFrame
Define a signal with 2 direction Up and Down with fixed value
Parameters:
-
dataframe
(DataFrame
) –description
-
up
(Series
) –description
-
down
(Series
) –description
-
name
(str
) –Name of signal, column name when add to DataFrame with inplace=True.
-
value
(int
, default:0
) –Default value when condiction is not matched. Defaults to 0.
-
value_up
(int
, default:100
) –description. Defaults to 100.
-
value_down
(int
, default:-100
) –description. Defaults to -100.
-
inplace
(bool
, default:False
) –Whether to add to the DataFrame and return DataFrame rather than return result. Defaults to False.
-
plot
(bool | list
, default:False
) –description. Defaults to False.
-
plot_type
(Literal["line", "mark"]
, default:'line'
) –description. Defaults to "line".
-
plot_kwargs
(dict | None
, default:None
) –description. Defaults to None.
Returns:
-
Series | DataFrame
–pd.Series | pd.DataFrame: description
Source code in lettrade/indicator/dataframe.py
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