plotting

python/test_basic.py

@@ -6,6 +6,9 @@ import numpy as np
 from bleak import BleakClient, BleakScanner
 from matplotlib import pyplot as plt
 
+# NOTE: this must be run in Jupyter. I rely on the Jupyter run loop for async
+
+
 # %%
 devices = await BleakScanner.discover()
 for d in devices:
@@ -24,7 +27,7 @@ async with BleakClient(address) as client:
     # print("Model Number: {0}".format("".join(map(chr, model_number))))
     start_time = time.time()
     print("Starting capture...")
-    while time.time() < start_time + 20:
+    while time.time() < start_time + 3:
         buffer = await client.read_gatt_char(SENSORS_UUID)
         sensor_values = np.frombuffer(bytes(buffer), dtype=np.double)
         timeseries.append(sensor_values)
@@ -33,7 +36,36 @@ async with BleakClient(address) as client:
 timeseries = np.array(timeseries)
 
 # %%
-plt.plot(timeseries)
+plt.plot(timeseries, marker=".")
+plt.show()
+
+# %%
+a_x, a_y, a_z, g_x, g_y, g_z, m_x, m_y, m_z = timeseries.T
+t = np.linspace(0, 2, len(timeseries))
+a = np.sqrt(a_x**2 + a_y**2 + a_z**2)
+g = 9.81  # acceleration due to gravity
+h = np.array([0, *np.cumsum((a - g)[1:] * np.diff(t))])
+
+# %%
+plt.plot(t, a_x, label="$A_x$")
+plt.plot(t, a_y, label="$A_y$")
+plt.plot(t, a_z, label="$A_z$")
+plt.plot(t, a, color="k", label="$A_{total}$")
+plt.ylabel("Acceleration [m/s^2]")
+plt.xlabel("Time [s]")
+plt.xlim(t[0], t[-1])
+plt.legend()
+plt.grid(True)
+plt.show()
+
+# %%
+plt.plot(t, h, label="$Z$")
+plt.ylabel("Displacement [m]")
+plt.title("Displacement assuming only vertical motion")
+plt.xlabel("Time [s]")
+plt.xlim(t[0], t[-1])
+plt.legend()
+plt.grid(True)
 plt.show()
 
 # %%