def start_sensing():
measurements_list = []
A_sensor_list = [] #0
C_sensor_list = [] #1
time_list = []
time = 0
#
seconds = int(seconds_entry.get())
samples = int(samples_entry.get())
period = 1000 // samples
#
gdx.start(period=period)
# #
for i in range(seconds*samples):
measurements = gdx.read()
if measurements == None:
break
print(measurements)
measurements_list.append(measurements)
# #
for line in measurements_list:
A_sensor_list.append(line[0])
C_sensor_list.append(line[1])
time_list.append(time)
time += 1/samples
# #
ax.clear()
#
plt.title('Sensor Graphing ')
plt.xlabel('Time (Seconds)')
plt.ylabel('amu or something idk')
#
ax.plot(time_list, A_sensor_list, c='skyblue')
ax.plot(time_list, C_sensor_list, c='lightgreen')
def start_recording():
seconds = int(seconds_entry.get())
samples = int(samples_entry.get())
axis = np.arange(0, seconds, 1 / samples)
gdx.start(1000 // samples)
red = []
green = []
blue = []
# fig, ax = plt.subplots(1,1)
ax.cla()
for _ in range(seconds * samples):
# print(gdx.read())
vals = gdx.read()
if vals == None:
break
r, g, b = vals
red.append(r)
green.append(g)
blue.append(b)
gdx.stop()
print(axis)
ax.plot(axis, red, color='r')
ax.plot(axis, green, color='g')
ax.grid()
ax.plot(axis, blue, color='b')
ax.legend(['r', 'g', 'b'])
ax.set_title("Lights")
ax.set_xlabel('Time (s)')
ax.set_ylabel('lux')
def take_sample():
gdx.open_usb()
gdx.select_sensors([5, 6, 7])
gdx.start(period=1)
sample = gdx.read()
print(sample)
gdx.stop()
gdx.close()
def start_reading():
seconds = int(seconds_field.get())
pers = int(samples_field.get())
print(seconds, pers)
gdx.start(period=1000 // pers)
red = []
green = []
blue = []
for i in range(seconds * pers):
vals = gdx.read(
) #returns a list of measurements from the sensors selected.
if vals == None:
break
red.append(vals[0])
green.append(vals[1])
blue.append(vals[2])
print(vals)
graph_data(seconds, pers, red, green, blue)
def start_reading():
seconds = int(seconds_field.get())
samples = int(samples_field.get())
sound_a, sound_c = [], []
rate = 1000 // samples
gdx.start(rate)
interval = 1 / samples
length = np.arange(0, seconds, interval)
ax.cla()
for i in range(samples * seconds):
measure = gdx.read()
sound_a.append(measure[0])
sound_c.append(measure[1])
if measure == None:
break
plt.yscale('linear')
ax.plot(length, sound_a, c='red')
ax.plot(length, sound_c, c='blue')
plt.ylabel(ylabel='Sound(decibels)')
plt.xlabel(xlabel='Time(seconds)')
plt.show()
gdx.stop()
gdx.device_info()
gdx.enabled_sensor_info()
gdx.sensor_info()
gdx.discover_ble_devices()
monitor_rssi()
>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>>
Below is a simple starter program. Note that this program does not pass any
arguments in the functions. Go to the gdx_getting_started_2.py example to
see how you can pass arguments to the open(), select sensors(), and start()
functions, and avoid the prompts.
**** This example assumes the Go Direct sensor is connected via USB.
'''
import gdx #the gdx function calls are from a gdx.py file inside the gdx folder.
gdx = gdx.gdx()
gdx.open_usb()
gdx.select_sensors()
gdx.start()
for i in range(0,5):
measurements = gdx.read() #returns a list of measurements from the sensors selected.
if measurements == None:
break
print(measurements)
gdx.stop()
gdx.close()
import gdx
'''
In this example we are saving the data to a csv file to be opened with Excel.
'''
from gdx import gdx
gdx = gdx.gdx()
import csv
myFile = open('csvexample.csv', 'w', newline='')
writer = csv.writer(myFile)
gdx.open_usb()
gdx.select_sensors([1, 2])
gdx.start(period=500)
column_headers = gdx.enabled_sensor_info()
writer.writerow(column_headers)
for i in range(0, 5):
measurements = gdx.read()
if measurements == None:
break
writer.writerow(measurements)
print(measurements)
gdx.stop()
gdx.close()
def read_data():
return gdx.read()
screen.ontimer(read_data, 100)
import gdx, matplotlib.pyplot as plt
gdx = gdx.gdx()
samples = int(input('How many samples would you like to take?: '))
gdx.open_usb()
gdx.select_sensors([2, 3])
gdx.start(period=100)
sound_a, sound_c, time = [], [], []
count = 0
for i in range(samples):
measure = gdx.read()
sound_a.append(measure[0])
sound_c.append(measure[1])
time.append(count)
count += 1
plt.ion()
plt.gcf()
plt.plot(sound_a, color='red')
plt.plot(sound_c, color='green')
plt.draw()
plt.pause(.05)
if measure == None:
break
#plots this data on one graph
plt.plot(time, sound_a) #graphs the a sounds
