numeric_calc

numeric_calc

IntegerCalc

IntegerCalc(
    dataframe: DataFrame, column_name: str = "systime"
)

Bases: Base

Provides class methods for performing calculations on integer columns in a pandas DataFrame.

scale_column classmethod

scale_column(
    dataframe: DataFrame,
    column_name: str = "value_integer",
    factor: float = 1,
) -> pd.DataFrame

Scales the integer column by the given factor.

Parameters:

Name	Type	Description	Default
dataframe	DataFrame	The DataFrame to perform the operation on.	required
column_name	str	The column to apply the scaling to.	'value_integer'
factor	float	The scaling factor.	1

Returns:

Type	Description
DataFrame	pd.DataFrame: The DataFrame with the scaled column.

offset_column classmethod

offset_column(
    dataframe: DataFrame,
    column_name: str = "value_integer",
    offset_value: float = 0,
) -> pd.DataFrame

Offsets the integer column by the given value.

Parameters:

Name	Type	Description	Default
dataframe	DataFrame	The DataFrame to perform the operation on.	required
column_name	str	The column to apply the offset to.	'value_integer'
offset_value	float	The value to add (positive) or subtract (negative) from each element in the column.	0

Returns:

Type	Description
DataFrame	pd.DataFrame: The DataFrame with the offset column.

divide_column classmethod

divide_column(
    dataframe: DataFrame,
    column_name: str = "value_integer",
    divisor: float = 1,
) -> pd.DataFrame

Divides each value in the integer column by the given divisor.

Parameters:

Name	Type	Description	Default
dataframe	DataFrame	The DataFrame to perform the operation on.	required
column_name	str	The column to apply the division to.	'value_integer'
divisor	float	The value by which to divide each element.	1

Returns:

Type	Description
DataFrame	pd.DataFrame: The DataFrame with the divided column.

subtract_column classmethod

subtract_column(
    dataframe: DataFrame,
    column_name: str = "value_integer",
    subtract_value: float = 0,
) -> pd.DataFrame

Subtracts a given value from each element in the integer column.

Parameters:

Name	Type	Description	Default
dataframe	DataFrame	The DataFrame to perform the operation on.	required
column_name	str	The column to apply the subtraction to.	'value_integer'
subtract_value	float	The value to subtract from each element.	0

Returns:

Type	Description
DataFrame	pd.DataFrame: The DataFrame with the subtracted column.

calculate_with_fixed_factors classmethod

calculate_with_fixed_factors(
    dataframe: DataFrame,
    column_name: str = "value_integer",
    multiply_factor: float = 1,
    add_factor: float = 0,
) -> pd.DataFrame

Performs a calculation by multiplying with a factor and then adding an additional factor.

Parameters:

Name	Type	Description	Default
dataframe	DataFrame	The DataFrame to perform the operation on.	required
column_name	str	The column to apply the calculations to.	'value_integer'
multiply_factor	float	The factor to multiply each value by. Defaults to 1 (no scaling).	1
add_factor	float	The value to add after multiplication. Defaults to 0 (no offset).	0

Returns:

Type	Description
DataFrame	pd.DataFrame: The DataFrame after applying the calculations.

mod_column classmethod

mod_column(
    dataframe: DataFrame,
    column_name: str = "value_integer",
    mod_value: int = 1,
) -> pd.DataFrame

Performs a modulus operation on the integer column with a specified value.

Parameters:

Name	Type	Description	Default
dataframe	DataFrame	The DataFrame to perform the operation on.	required
column_name	str	The column to apply the modulus operation to.	'value_integer'
mod_value	int	The value to perform the modulus operation with.	1

Returns:

Type	Description
DataFrame	pd.DataFrame: The DataFrame with the modulus operation applied.

power_column classmethod

power_column(
    dataframe: DataFrame,
    column_name: str = "value_integer",
    power_value: float = 1,
) -> pd.DataFrame

Raises each value in the integer column to the power of a specified value.

Parameters:

Name	Type	Description	Default
dataframe	DataFrame	The DataFrame to perform the operation on.	required
column_name	str	The column to apply the power operation to.	'value_integer'
power_value	float	The exponent to raise each element to.	1

Returns:

Type	Description
DataFrame	pd.DataFrame: The DataFrame with the power operation applied.