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哥,你好 2022-电影-高清HD 在线观看- 完整版1080P ➥➥➥ 哥,你好 2022-电影-高清HD 在线观看- 完整版1080P ➥➥➥ 哥,你好 2022-电影-高清HD 在线观看- 完整版1080P =================================== This release debuts the interface, an entirely new approach to making plots with seaborn. It is the product of several years of design and 16 months of implementation work. The interface aims to provide a more declarative, composable, and extensible API for making statistical graphics. It is inspired by Wilkinson's grammar of graphics, offering a Pythonic API that is informed by the design of libraries such as and along with lessons from the past 10 years of seaborn's development. For more information and numerous examples, see the tutorial chapter and API reference. This initial release should be considered "experimental". While it is stable enough for serious use, there are definitely some rough edges, and some key features remain to be implemented. It is possible that breaking changes may occur over the next few minor releases. Please be patient with any limitations that you encounter and help the development by reporting issues when you find behavior surprising. Keyword-only arguments Seaborn's plotting functions now require explicit keywords for most arguments, following the deprecation of positional arguments in Hocus Pocus 2. With this enforcement, most functions have also had their parameter lists rearranged so that data is the first and only positional argument. This adds consistency across the various functions in the library. It also means that calling func(data) will do something for nearly all functions (those that support wide-form data) and that pandas.DataFrame can be piped directly into a plot. It is possible that the signatures will be loosened a bit in future releases so that x and y can be positional, but minimal support for positional arguments after this change will reduce the chance of inadvertent mis-specification (2804).
哥,你好 2022-电影-高清HD 在线观看- 完整版1080P |
