graphical.data

bands

bands(data, num_bands, value_range=None)

Split data into bands.

Parameters:

Name	Type	Description	Default
data	Sequence[float]	Data to split into bands.	required
num_bands	int	Number of bands.	required
value_range	Tuple[float, float]	Lower and upper boundary. Defaults to range of data.	None

Returns:

Type	Description
List[Tuple[int, float]]	List[Tuple[int, float]]: List of tuples (band index, value).

bins

bins(data, num_bins, *, summary_function=mean, spread=True)

Resample data into num_bins bins.

Parameters:

Name	Type	Description	Default
data	Sequence[float]	Data to resample.	required
num_bins	int	Number of bins	required
summary_function	SummaryFunction	Function to summarize the data in each bin. Defaults to mean.	mean
spread	bool	Fill in values if num_bins > len(data). Defaults to True.	True

Yields:

Type	Description
float	Binned data.

normalize

normalize(data, value_range, clip=True)

Normalize data to value_range.

Parameters:

Name	Type	Description	Default
data	Sequence[float]	Data to normalize.	required
value_range	Tuple[float, float]	Value range to normalize to.	required
clip	bool	Clip out of range values. Defaults to True.	True

Yields:

Type	Description
float	Normalized data.

pairs

pairs(data)

Group data in pairs.

Parameters:

Name	Type	Description	Default
data	Sequence[T]	Data to group in pairs.	required

Returns:

Type	Description
Iterable[Tuple[T, T]]	Iterable[Tuple[T, T]]: Data in pairs