示例#1
0
class DataLogger:
    """Logs data from the magenetomer for implementing the calibration levels"""
    def __init__(self, magnetometer=None):
        if magnetometer == None:
            self.magnetometer = Magnetometer()
        else:
            self.magnetometer = magnetometer
        self.x = []
        self.y = []
        self.z = []

    def measure(self, num_readings, time_ms_per_reading=0):
        """time per reading must be more than 7 ms"""
        if (time_ms_per_reading > 7):
            time_sleep = time_ms_per_reading - 7
            for i in range(num_readings + 2):
                self.magnetometer.take_measurement()
                if i > 1:
                    self.x.append(self.magnetometer.x)
                    self.y.append(self.magnetometer.y)
                    self.z.append(self.magnetometer.z)
                    sleep_ms(time_sleep)

        else:
            for i in range(num_readings):
                self.magnetometer.take_measurement()
                if i > 1:
                    self.x.append(self.magnetometer.x)
                    self.y.append(self.magnetometer.y)
                    self.z.append(self.magnetometer.z)

    def get_json(self):
        data["x"] = self.x
        data["y"] = self.y
        data["z"] = self.z

        return ujson.dumps(data)

    def std_dev(self):
        mean = sum(self.z) / len(self.z)
        z = math.sqrt(
            sum(map(lambda x: (x - mean) * (x - mean), self.z)) / len(self.z))

        mean = sum(self.y) / len(self.y)
        y = math.sqrt(
            sum(map(lambda x: (x - mean) * (x - mean), self.y)) / len(self.y))

        mean = sum(self.x) / len(self.x)
        x = math.sqrt(
            sum(map(lambda x: (x - mean) * (x - mean), self.x)) / len(self.x))
        return (x, y, z)
示例#2
0
class DataLogger:
    """
    Logs data from the magenetometer
    """
    def __init__(self, magnetometer=None):
        """
        Creates a DataLogger instance, optionally uses a Magnetometer instance if given, otherwises creates a new
        instance
        :param magnetometer: the optional magnetometer instance it will use to record data
        """
        if magnetometer == None:
            self.magnetometer = Magnetometer()
        else:
            self.magnetometer = magnetometer

        self.data = []

    def measure(self, num_readings, time_ms_per_reading=0):
        """
        Takes reading from the magnetometer and scales to the correct units
        :param num_readings: number of readings to take
        :param time_ms_per_reading: time to spend taking each reading
        :return: no return value
        """
        self.data = []
        """time per reading must be more than 7 ms"""
        if (time_ms_per_reading > 7):
            time_sleep = time_ms_per_reading - 7
            for i in range(num_readings + 2):
                self.magnetometer.take_measurement()
                if i > 1:
                    vector = Vector3D()
                    vector.x = self.magnetometer.x
                    vector.y = self.magnetometer.y
                    vector.z = self.magnetometer.z
                    self.data.append(vector)
                    sleep_ms(time_sleep)

        else:
            for i in range(num_readings):
                self.magnetometer.take_measurement()
                if i > 1:
                    vector = Vector3D()
                    vector.x = self.magnetometer.x
                    vector.y = self.magnetometer.y
                    vector.z = self.magnetometer.z
                    self.data.append(vector)

        if num_readings >= 10:
            self.data = self.data[5:]

    def get_json(self):
        """
        Converts recorded magnetometer data to JSON
        :return: JSON object containing magnetometer readings
        """
        return ujson.dumps(self.data)

    def mean(self):
        """
        Calculates the mean of the recorded data
        :return: Vector3D instance of the mean value recorded in each axis
        """
        if self.data == []:
            print("Take measurement first using measure()")
            return 0
        self.data_mean = Vector3D()
        for i in self.data:
            self.data_mean = self.data_mean + i
        self.data_mean = self.data_mean.mul(1 / len(self.data))

        return self.data_mean

    def std_dev(self):
        """
        Calculate the standard deviation of the recorded data
        :return: Vector3D instance of the std deviation value recorded in each axis
        """
        self.mean()
        res = Vector3D()
        for i in range(len(self.data)):
            res = res + (self.data[i] - self.data_mean) * (self.data[i] -
                                                           self.data_mean)

        res = res.mul(1 / len(self.data))

        res = res.sqrt()

        self.data_std_dev = res
        return res