Search

Searching

• Structured arrays

  ...NumPy user guide NumPy fundamentals Structured arrays...

• Structured arrays > Indexing structured arrays

  ...NumPy user guide NumPy fundamentals Structured arrays...

• Array API
• Array creation

  ...rray creation routines Introduction There are 6 general mechanisms for creating arrays: Conversion from other Python structures (i.e. lists and tuples) Intrinsic NumPy array creation functions (e.g. arange, ones, zeros, etc.) Replicating...

• Array iterator API
• Array objects
• Beyond the basics

  ..., like a variable-precision number, then use a pointer to the object as the data-type). The memory layout of the object structure for the new Python type must be PyObject_HEAD followed by the fixed-size memory needed for the data- type. For...

• Constants of the numpy.ma module

  ...dArray.mask Current mask. ma.MaskedArray.recordmask Get or set the mask of the array if it has no named fields. For structured arrays, returns a ndarray of booleans where entries are True if all the fields are masked, False otherwise: >...

• Copies and views

  ...ce between these two terms and to know which operations return copies and which return views. The NumPy array is a data structure consisting of two parts: the contiguous data buffer with the actual data elements and the metadata that contai...

• Data types

  ..."hello" >>> a[0] == x[0] False If you need to store and round-trip any trailing null bytes, you will need to use an unstructured void data type: >>> a = np.array(x, dtype="V7") >>> a array([b'\x68\x65\x6C\x6C\x6F\x00\x00', b'\x77\x6F\x72\...

• How to extend NumPy
• Indexing on ndarrays
• Interoperability with NumPy
• NumPy 1.10.0 Release Notes

  ...ed from np.correlate. Future Changes In array comparisons like arr1 == arr2, many corner cases involving strings or structured dtypes that used to return scalars now issue FutureWarning or DeprecationWarning, and in the future will be c...

• NumPy 1.12.0 Release Notes
• NumPy 1.13.0 Release Notes
• NumPy 1.14.0 Release Notes
• NumPy 1.15.0 Release Notes
• NumPy 1.16.0 Release Notes
• NumPy 1.16.1 Release Notes
• NumPy 1.17.0 Release Notes
• NumPy 1.18.0 Release Notes
• NumPy 1.20.0 Release Notes
• NumPy 1.22.0 Release Notes
• NumPy 1.23.0 Release Notes
• NumPy 1.24 Release Notes
• NumPy 1.26.0 Release Notes
• NumPy 1.3.0 Release Notes
• NumPy 1.8.0 Release Notes
• NumPy 1.9.0 Release Notes
• NumPy 2.0.0 Release Notes
• NumPy C code explanations
• NumPy quickstart
• numpy.i: a SWIG interface file for NumPy
• NumPy: the absolute basics for beginners
• NumPy’s module structure
• Python types and C-structures
• Reading and writing files
• Record Arrays (numpy.rec)
• Standard array subclasses
• Structured arrays
• The numpy.ma module
• The array interface protocol
• The N-dimensional array (ndarray)
• Writing your own ufunc
• numpy.lib.recfunctions.merge_arrays (Python function, in Structured arrays)
• numpy.lib.recfunctions.stack_arrays (Python function, in Structured arrays)
• numpy.lib.recfunctions.structured_to_unstructured (Python function, in Structured arrays)
• numpy.lib.recfunctions.unstructured_to_structured (Python function, in Structured arrays)
• ctypes foreign function interface (numpy.ctypeslib)
• Data type API