{"categories":[{"label":"Scientific/Engineering","url":"https://skillfed.io/packages/category/scientific-engineering/7"}],"enrichment":{"capability":"Timple extends Matplotlib with locators and formatters for plotting timedelta values, enabling readable time-interval axis ticks and automatic formatting of duration data.","skillfed_tags":["matplotlib-extension","timedelta-plotting"],"use_cases":["Plot lap times or race durations on a y-axis with readable minute:second formatting","Visualize event durations or time intervals in scientific data with automatic tick spacing","Display performance metrics measured in seconds or milliseconds with human-readable axis labels","Create time-series plots where the x or y axis represents elapsed time rather than wall-clock time"],"what_it_does":"Timple patches Matplotlib to handle timedelta plotting natively. Matplotlib can plot timedelta values as raw numbers but lacks the locators and formatters needed to create readable axis ticks in time intervals (minutes, hours, etc.) or to format durations into human-readable strings like '3:05' for 185 seconds. Timple fills that gap by registering automatic converters and providing customizable tick placement and formatting.\n\nThe package supports numpy.timedelta64, datetime.timedelta, and pandas.Timedelta objects, and can also handle pandas.NaT (missing time values). Once enabled, Timple's patches apply globally to Matplotlib, so you use plt.plot() and related functions exactly as usual\u2014the enhanced timedelta handling happens transparently.","worth_installing":"Yes, if you regularly plot timedelta data in Matplotlib and want readable time-formatted axes without manual tick configuration. The low install friction and permissive license make it a safe addition. However, dormant maintenance (last update 2023-12-27) means you should verify compatibility with your current Matplotlib and pandas versions before relying on it in production; no active support is available."},"id":"timple","links":{"html":"https://skillfed.io/packages/timple","md":"https://skillfed.io/packages/timple.md","pypi":"https://pypi.org/project/timple/"},"maintenance":{"status":"dormant"},"meta":{"latest_release":"2023-12-27","license_spdx":null,"license_treatment":"permissive","name":"timple","python_support":"supports_current","summary":"Extended functionality for plotting timedelta-like values with Matplotlib"},"popularity":{"monthly_downloads":106232,"position":12662,"tier":"top_15000"},"security":{"n_vulnerabilities":0},"version":"0.1.8"}