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使用者指南
API 參考
從來源碼建置
開發
發行備註
Learn
NEPs
GitHub
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章节导航
NumPy 的模組結構
陣列物件
Universal functions (
ufunc
)
Routines and objects by topic
常數
Array creation routines
Array manipulation routines
Bit-wise operations
String functionality
Datetime support functions
Data type routines
Mathematical functions with automatic domain
Floating point error handling
Exceptions and Warnings
離散傅立葉變換
Functional programming
numpy.apply_along_axis
numpy.apply_over_axes
numpy.vectorize
numpy.vectorize.__call__
numpy.frompyfunc
numpy.piecewise
輸入與輸出
Indexing routines
線性代數
Logic functions
Masked array operations
Mathematical functions
Miscellaneous routines
多項式
Random sampling
Set routines
排序、搜尋與計數
Statistics
Test support
Window functions
Typing (
numpy.typing
)
NumPy C-API
陣列 API 標準相容性
CPU/SIMD 最佳化
Thread Safety
Global Configuration Options
NumPy security
Testing guidelines
Status of
numpy.distutils
and migration advice
NumPy 與 SWIG
NumPy 參考
Routines and objects by topic
Functional programming
numpy.vectorize
numpy.vectorize.__call__
numpy.vectorize.__call__
#
方法
vectorize.
__call__
(
*
args
,
**
kwargs
)
[原始碼]
#
Call self as a function.
当前页面
vectorize.__call__