def get_accelerometer_data(self):
# Sort the data
all_data = sorted(LogEntry.select(), key=lambda row: datetime.strptime(row.timestamp, self.time_stamp_format))
accelerometer_data = [{"timestamp": row.timestamp, "light": row.light_reading, "proximity": row.proximity_reading,
"x": row.x_reading, "y": row.y_reading, "z": row.z_reading} for row in all_data]
return accelerometer_data
def get_accelerometer_data(self):
# Sort the data
all_data = sorted(LogEntry.select(),
key=lambda row: datetime.strptime(
row.timestamp, self.time_stamp_format))
accelerometer_data = [{
"timestamp": row.timestamp,
"light": row.light_reading,
"proximity": row.proximity_reading,
"x": row.x_reading,
"y": row.y_reading,
"z": row.z_reading
} for row in all_data]
return accelerometer_data
def plot_data():
format_string = '%H:%M:%S %m/%d/%Y'
log_data = LogEntry.select().order_by(LogEntry.timestamp)
# log_data = [row for row in log_data]
log_data = sorted(log_data, key=lambda row: datetime.strptime(row.timestamp, format_string))
light_readings = [row.light_reading for row in log_data]
light_readings = [min(reading, 100.0) for reading in light_readings]
timestamps = [datetime.strptime(row.timestamp, format_string) for row in log_data]
fig = plt.figure()
# plt.figure(1, figsize=(10, 6))
plt.clf()
plt.cla()
plt.plot_date(timestamps, light_readings, 'b')
fig.autofmt_xdate()
plt.show()
def load_light():
light_data = LogEntry.select()
return sorted(
light_data,
key=lambda row: datetime.strptime(row.timestamp, format_string))
def load_light():
light_data = LogEntry.select()
return sorted(light_data, key=lambda row: datetime.strptime(row.timestamp, format_string))
def get_light_data():
light_data = LogEntry.select()
return light_data
