ctypes.Array._type_

_type_ Specifies the type of each element in the array.

ctypes.Array._length_

_length_ A positive integer specifying the number of elements in the array. Out-of-range subscripts result in an IndexError. Will be returned by len().

ctypes.Array

class ctypes.Array(*args) Abstract base class for arrays. The recommended way to create concrete array types is by multiplying any ctypes data type with a positive integer. Alternatively, you can subclass this type and define _length_ and _type_ class variables. Array elements can be read and written using standard subscript and slice accesses; for slice reads, the resulting object is not itself an Array. _length_ A positive integer specifying the number of elements in the array. Out-of-r

ctypes.ArgumentError

exception ctypes.ArgumentError This exception is raised when a foreign function call cannot convert one of the passed arguments.

ctypes.alignment()

ctypes.alignment(obj_or_type) Returns the alignment requirements of a ctypes type. obj_or_type must be a ctypes type or instance.

ctypes.addressof()

ctypes.addressof(obj) Returns the address of the memory buffer as integer. obj must be an instance of a ctypes type.

csv.writer()

csv.writer(csvfile, dialect='excel', **fmtparams) Return a writer object responsible for converting the user’s data into delimited strings on the given file-like object. csvfile can be any object with a write() method. If csvfile is a file object, it should be opened with newline='' [1]. An optional dialect parameter can be given which is used to define a set of parameters specific to a particular CSV dialect. It may be an instance of a subclass of the Dialect class or one of the strings ret

csv.unregister_dialect()

csv.unregister_dialect(name) Delete the dialect associated with name from the dialect registry. An Error is raised if name is not a registered dialect name.

csv.unix_dialect

class csv.unix_dialect The unix_dialect class defines the usual properties of a CSV file generated on UNIX systems, i.e. using '\n' as line terminator and quoting all fields. It is registered with the dialect name 'unix'. New in version 3.2.

csv.Sniffer.sniff()

sniff(sample, delimiters=None) Analyze the given sample and return a Dialect subclass reflecting the parameters found. If the optional delimiters parameter is given, it is interpreted as a string containing possible valid delimiter characters.