Coding style#
Standard Python conventions#
Coding style is black with 79-character lines. Docstrings style is Numpy Docstring.
Naming conventions#
The following PEP8 conventions are used:
All code, comments and documentation are in English.
Function names are active (begin by a verb), and are in snake_case (lowercase words separated by underscores):
close()
calculate_power()
detect_cycles()
Variable names are passive, and are also in snake_case:
forces
detected_markers
Class names are passive, and are in CapitalCase (Capital first letters):
TimeSeries
Player
Constants are passive, and are in UPPER_SNAKE (uppercase words separated by underscores):
CALIBRATION_MATRIX
WHEEL_RADIUS
In addition, the following convention is used:
For strings that are used as identifiers (e.g., keys, signal names), strings contents are in CapitalCase:
contents[‘Forces’], kinematics.data[‘UpperArmR’]
dataframe.columns = [‘SolidTire’, ‘InflatableTire’]
Type hints#
Kinetics Toolkit is type-hinted, with static type checking performed by mypy
. It uses python 3.9 annotations using __future__
:
import pandas as pd
import numpy as np
from __future__ import annotations
def dataframe_to_dict_of_arrays(
dataframe: pd.DataFrame
) -> dict[str, np.ndarray]:
...