Why my “print” function is ptinting the triplle of values of variable “g” and “ag” instead of only 1 value for ag and 3 for ag?

When O run y code, I have this as the result:
72
(0.15401078760623932, -0.9237408638000488, -0.35069024562835693)
72
(0.15401078760623932, -0.9237408638000488, -0.35069024562835693)
72
(0.15401078760623932, -0.9237408638000488, -0.35069024562835693)

My code:

'''This script records your device's orientation (accelerometer data) for 5 seconds, and then renders a simple plot of the gravity vector, using matplotlib.'''
import numpy as np
import sys
import motion
import matplotlib.pyplot as plt
from time import sleep
import console
g=0;
ag=0;
data=0;
data_ag=0;

del g
del ag
del data
del data_ag
fs=100;
duration=5;
def main():
console.alert('Motion Plot', 'When you tap Continue, accelerometer (motion) data will be recorded for 5 seconds.', 'Continue')
motion.start_updates()
sleep(0.2)
print('Capturing motion data...')
num_samples = fs*duration;
data = []
data_ag = []
for i in range(num_samples):
sleep(1/fs)
ag=motion.get_user_acceleration();
g = motion.get_gravity();

a=motion.get_gravity()

motion.get_attitude()

motion.get_magnetic_field()

    data.append(g);
    data_ag.append(ag);

motion.stop_updates()
print('Capture finished, plotting...')

x_values = [x/fs for x in range(num_samples)]
for i, color, label in zip(range(3), 'rgb', 'XYZ'):
    plt.plot(x_values, [g[i] for g in data], color, label=label, lw=2)
    szg=sys.getsizeof(g)
    print(szg)
    print(g)
plt.grid(True)
plt.xlabel('t')
plt.ylabel('G')
plt.gca().set_ylim([-1.0, 1.0])
plt.legend()
plt.show()

if name == 'main':
main()

your dataset (the variable data) is an array

data = []

that contains tuples, which is the variable g.

data = [()]

This tuple then contains 3 variables.

data = [(5.67, 1.87, 3.93)]

Running this code:

for g in data:
    print(g)

will print every tuple in the data array, which is (5.67, 1.87, 3.93).
If you want to print a single float (the name for a number with decimal places), just use this:

print(g[0])

Replace the 0 with a 1 to print the second float in g, and 2 for the third float in g

@Sarmet said:

for i, color, label in zip(range(3), 'rgb', 'XYZ'):
plt.plot(x_values, [g[i] for g in data], color, label=label, lw=2)
szg=sys.getsizeof(g)
print(szg)
print(g)

In the above code, you are printing things out within the for... loop, which has 3 iterations. So the information in szg and g, which doesn't change, is still being printed once per trip around the loop.

import numpy as np
import sys
import motion
import matplotlib.pyplot as plt
from time import sleep
import console
g=0;
ag=0;
data=0;
data_ag=0;

del g
del ag
del data
del data_ag
fs=100;
duration=5;
def main():
    console.alert('Motion Plot', 'When you tap Continue, accelerometer (motion) data will be recorded for 5 seconds.', 'Continue')
    motion.start_updates()
    sleep(0.2)
    print('Capturing motion data...')
    num_samples = fs*duration;
    data = []
    data_ag = []
    for i in range(num_samples):
        sleep(1/fs)
        ag=motion.get_user_acceleration();
        g = motion.get_gravity();
        #a=motion.get_gravity()
        #motion.get_attitude()
        #motion.get_magnetic_field()
        data.append(g);
        data_ag.append(ag);

    motion.stop_updates()
    print('Capture finished, plotting...')

    x_values = [x/fs for x in range(num_samples)]
    for i, color, label in zip(range(3), 'rgb', 'XYZ'):
        plt.plot(x_values, [g[i] for g in data], color, label=label, lw=2)
        szg=sys.getsizeof(g)
    print(szg)
    print(g)
    print(ag)
    print(type(data[1]))
    plt.grid(True)
    plt.xlabel('t')
    plt.ylabel('G')
    plt.gca().set_ylim([-1.0, 1.0])
    plt.legend()
    plt.show()


main()