{"id":3496,"date":"2020-07-09T16:30:42","date_gmt":"2020-07-09T11:00:42","guid":{"rendered":"http:\/\/www.pythonpool.com\/?p=3496"},"modified":"2026-07-13T12:27:11","modified_gmt":"2026-07-13T06:57:11","slug":"python-truncate","status":"publish","type":"post","link":"https:\/\/www.pythonpool.com\/python-truncate\/","title":{"rendered":"Python Truncate: Files, Numbers, Strings, and Lists"},"content":{"rendered":"

Quick answer:<\/strong> Python uses different truncation tools for different data: file.truncate() changes an open file’s length, os.truncate() works from a path, math.trunc() removes a number’s fractional part toward zero, and slicing keeps a shorter string or list. Check whether the operation mutates existing data before using it in production.<\/p>\n

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Truncation means different operations for files, numbers, and sequences; choose the API that matches the data type and verify whether it mutates existing data.<\/figcaption><\/figure>\n

Python truncation means cutting data down to a shorter size. For files, truncate()<\/code> changes the file length. For numbers, math.trunc()<\/code> removes the fractional part. For strings and lists, slicing is the usual way to keep only part of the value.<\/p>\n

The important detail is that each kind of data has its own truncation tool. File objects have file.truncate()<\/code>, the os<\/code> module has os.truncate()<\/code> for paths, numbers use math.trunc()<\/code>, and strings use slice syntax. Mixing these up leads to confusing code and sometimes data loss.<\/p>\n

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