Utilities related to math¶

Angle¶

researchutils.math.angle.fit_angle_in_deg_range(angles, min_angle=0.0, max_angle=360.0)[source]¶

Check angle range and correct the range

Parameters:	angle (array-like) – unit is degrees min_angle (float) – maximum of range in degrees, default 0.0 max_angle (float) – minimum of range in degrees, default 360.0
Returns:	correct_angle – correct range angle in degrees
Return type:	numpy.ndarray

researchutils.math.angle.fit_angle_in_rad_range(angles, min_angle=0.0, max_angle=6.283185307179586)[source]¶

Check angle range and correct the range

Parameters:	angle (array-like) – unit is radians min_angle (float, optional) – maximum of range in radians, default 0.0 max_angle (float, optional) – minimum of range in radians, default 2 * math.pi
Returns:	correct_angle – correct range angle
Return type:	numpy.ndarray

researchutils.math.normalization.normalize_by_min_max(data, min_value=0.0, max_value=1.0)[source]¶

Normalize the data in min_value and max_value

Parameters:	data (array-like) – min_value (float) – min_value of the fixed data, default is 0.0 max_value (float) – max_value of the fixed data, default is 1.0
Returns:	normalized_data – the shape of array is same as the input data
Return type:	numpy.ndarray

researchutils.math.normalization.standardize(data)[source]¶

Standardize the data. Fixed data’s average is 0 and, variance is 1.0

Parameters:	data (array-like) –
Returns:	standarized data – the shape of array is same as the input data
Return type:	numpy.ndarray