timple 0.1.8

Extended functionality for plotting timedelta-like values with Matplotlib

Timple

Timple offers extended functionality for plotting timedelta values with Matplotlib.

Installation

Installation via pip is recommended: pip install timple

Overview

Matplotlib generally supports plotting of timedelta values but only as numeric values and only for limited data types. It does not natively have locators and formatters to create fancy plot ticks.

This package provides the necessary locators and formatters to create axis ticks in intervals of minutes, hours, ... Ticks can be formatted into a more readable time format. For example, something like 185 seconds can be turned into 3:05 minute:seconds representation.

Example plot:

The full documentation can be found here: https://theoehrly.github.io/Timple/

Features

• Formatters and Locators for timedelta
• Matplotlib patching, so that everything can happen with minimal effort
• Supports numpy.timedelta64, datetime.timedelta, pandas.Timedelta

Additionally

• Support for pandas.NaT when plotting timedelta and optionally when plotting date values too.

Usage

Minimal example: import and enable Timple. This will patch Matplotlib and register Timple's timedelta converter. By default, Timple's automatic locators and formatters will be used to determine the tick locations and format best suited for the plotted data. Further customization is possible.

import matplotlib.pyplot as plt
import timple

tmpl = timple.Timple()
tmpl.enable()

# you can now just use matplotlib as always

plt.plot(...some timedelta related data...)
plt.show()