nitypes 0.1.0.dev1

Data types for NI Python APIs

Info	Data types for NI Python APIs
Author	National Instruments

Table of Contents

• Table of Contents
• About
  • Documentation
  • Operating System Support
  • Python Version Support
• Installation
• Waveforms
  • Analog Waveforms
  • Complex Waveforms
  • Frequency Spectrums
• Complex Numbers
  • Complex Integers
  • Complex Number Conversion
• Time
  • Time Conversion

About

The nitypes Python package defines data types for NI Python APIs:

• Analog and complex waveforms
• Frequency spectrums
• Complex integers
• Time conversion

NI created and supports this package.

Documentation

See the API Reference.

Operating System Support

nitypes supports Windows and Linux operating systems.

Python Version Support

nitypes supports CPython 3.9+ and PyPy3.

Installation

Installing NI driver Python APIs that support waveforms will automatically install nitypes.

You can also directly install the nitypes package using pip or by listing it as a dependency in your project's pyproject.toml file.

Waveforms

Analog Waveforms

The nitypes.waveform.AnalogWaveform class represents a single analog signal with timing information and extended properties (such as channel name and units). Multi-channel analog data is represented using a collection of waveforms, such as list[nitypes.waveform.AnalogWaveform]. For more details, see Analog Waveforms in the API Reference.

Complex Waveforms

The nitypes.waveform.ComplexWaveform class represents a complex-number signal, such as I/Q data, with timing information and extended properties (such as channel name and units). For more details, see Complex Waveforms in the API Reference.

Frequency Spectrums

The nitypes.waveform.Spectrum class represents a frequency spectrum with frequency range information and extended properties (such as channel name and units). For more details, see Frequency Spectrums in the API Reference.

Complex Numbers

Complex Integers

nitypes.complex.ComplexInt32DType is a NumPy structured data type object representing a complex integer with 16-bit real and imag fields. This structured data type has the same memory layout as the NIComplexI16 C struct used by NI driver APIs. For more details, see Complex Integers in the API Reference.

Complex Number Conversion

You can use the nitypes.complex.convert_complex() function to convert complex-number NumPy arrays between nitypes.complex.ComplexInt32DType and the standard np.complex64 and np.complex128 data types. For more details, see Complex >> Conversion in the API Reference.

Time

Time Conversion

You can use the nitypes.time.convert_datetime() and nitypes.time.convert_timedelta() functions to convert time values between the standard datetime library and the high-precision hightime library.For more details, see Time >> Conversion in the API Reference.