本文整理汇总了Python中PyDAQmx.uInt32方法的典型用法代码示例。如果您正苦于以下问题:Python PyDAQmx.uInt32方法的具体用法?Python PyDAQmx.uInt32怎么用?Python PyDAQmx.uInt32使用的例子?那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类PyDAQmx
的用法示例。
在下文中一共展示了PyDAQmx.uInt32方法的2个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: Task
# 需要导入模块: import PyDAQmx [as 别名]
# 或者: from PyDAQmx import uInt32 [as 别名]
"""
Created on Wed Aug 05 14:52:04 2015
@author: oct
"""
import PyDAQmx as pydaq
from PyDAQmx import *
import numpy as np
import matplotlib.pyplot as plt
from numpy import ones, zeros
digital_output = Task()
read = int32()
written = pydaq.uInt32()
samples = 20000
sampleRate = float(samples*10)
AOFreq = 1000 # Frequency in Hz
x = numpy.linspace(0, numpy.pi, samples, dtype=np.float64)
data = numpy.sin((AOFreq/5)*x, dtype = np.float64)
digitalData = np.linspace(0,10,1000, dtype = pydaq.uInt32)
digital_output.CreateDOChan("/Dev1/PFI0", "TriggerPin", DAQmx_Val_ChanPerLine)
#digital_output.CfgSampClkTiming("", sampleRate,DAQmx_Val_Rising,DAQmx_Val_ContSamps, 1000)
#digital_output.CfgDigEdgeStartTrig("",DAQmx_Val_Rising)
digital_output.StartTask()
digital_output.WriteDigitalU32(samples, True, 10.0, DAQmx_Val_GroupByChannel, digitalData, None, None)
示例2: init_constraints
# 需要导入模块: import PyDAQmx [as 别名]
# 或者: from PyDAQmx import uInt32 [as 别名]
def init_constraints(self):
""" Build a pulser constraints dictionary with information from the NI card.
"""
device = self.device
constraints = {}
ch_map = OrderedDict()
n = 2048
ao_max_freq = daq.float64()
ao_min_freq = daq.float64()
ao_physical_chans = ctypes.create_string_buffer(n)
ao_voltage_ranges = np.zeros(16, dtype=np.float64)
ao_clock_support = daq.bool32()
do_max_freq = daq.float64()
do_lines = ctypes.create_string_buffer(n)
do_ports = ctypes.create_string_buffer(n)
product_dev_type = ctypes.create_string_buffer(n)
product_cat = daq.int32()
serial_num = daq.uInt32()
product_num = daq.uInt32()
daq.DAQmxGetDevAOMinRate(device, daq.byref(ao_min_freq))
self.log.debug('Analog min freq: {0}'.format(ao_min_freq.value))
daq.DAQmxGetDevAOMaxRate(device, daq.byref(ao_max_freq))
self.log.debug('Analog max freq: {0}'.format(ao_max_freq.value))
daq.DAQmxGetDevAOSampClkSupported(device, daq.byref(ao_clock_support))
self.log.debug('Analog supports clock: {0}'.format(ao_clock_support.value))
daq.DAQmxGetDevAOPhysicalChans(device, ao_physical_chans, n)
analog_channels = str(ao_physical_chans.value, encoding='utf-8').split(', ')
self.log.debug('Analog channels: {0}'.format(analog_channels))
daq.DAQmxGetDevAOVoltageRngs(
device,
ao_voltage_ranges.ctypes.data_as(ctypes.POINTER(ctypes.c_double)),
len(ao_voltage_ranges))
self.log.debug('Analog voltage range: {0}'.format(ao_voltage_ranges[0:2]))
daq.DAQmxGetDevDOMaxRate(self.device, daq.byref(do_max_freq))
self.log.debug('Digital max freq: {0}'.format(do_max_freq.value))
daq.DAQmxGetDevDOLines(device, do_lines, n)
digital_channels = str(do_lines.value, encoding='utf-8').split(', ')
self.log.debug('Digital channels: {0}'.format(digital_channels))
daq.DAQmxGetDevDOPorts(device, do_ports, n)
digital_bundles = str(do_ports.value, encoding='utf-8').split(', ')
self.log.debug('Digital ports: {0}'.format(digital_bundles))
daq.DAQmxGetDevSerialNum(device, daq.byref(serial_num))
self.log.debug('Card serial number: {0}'.format(serial_num.value))
daq.DAQmxGetDevProductNum(device, daq.byref(product_num))
self.log.debug('Product number: {0}'.format(product_num.value))
daq.DAQmxGetDevProductType(device, product_dev_type, n)
product = str(product_dev_type.value, encoding='utf-8')
self.log.debug('Product name: {0}'.format(product))
daq.DAQmxGetDevProductCategory(device, daq.byref(product_cat))
self.log.debug(product_cat.value)
for n, ch in enumerate(analog_channels):
ch_map['a_ch{0:d}'.format(n+1)] = ch
for n, ch in enumerate(digital_channels):
ch_map['d_ch{0:d}'.format(n+1)] = ch
constraints['sample_rate'] = {
'min': ao_min_freq.value,
'max': ao_max_freq.value,
'step': 0.0,
'unit': 'Samples/s'}
# The file formats are hardware specific. The sequence_generator_logic will need this
# information to choose the proper output format for waveform and sequence files.
constraints['waveform_format'] = 'ndarray'
constraints['sequence_format'] = None
# the stepsize will be determined by the DAC in combination with the
# maximal output amplitude (in Vpp):
constraints['a_ch_amplitude'] = {
'min': 0,
'max': ao_voltage_ranges[1],
'step': 0.0,
'unit': 'Vpp'}
constraints['a_ch_offset'] = {
'min': ao_voltage_ranges[0],
'max': ao_voltage_ranges[1],
'step': 0.0,
'unit': 'V'}
constraints['d_ch_low'] = {
'min': 0.0,
'max': 0.0,
'step': 0.0,
'unit': 'V'}
constraints['d_ch_high'] = {
'min': 5.0,
'max': 5.0,
'step': 0.0,
'unit': 'V'}
constraints['sampled_file_length'] = {
'min': 2,
'max': 1e12,
'step': 0,
'unit': 'Samples'}
constraints['digital_bin_num'] = {
#.........这里部分代码省略.........