Arafat245

df = pd.read_excel(r"C:\Rhythm\test_ds_loc.xlsx")
unique_subjects = df['p_id'].unique()

for subject in unique_subjects:
    test_subject_df = df[df['p_id'] == subject].sort_values(by='date')
    train_df = df[df['p_id'] != subject]

    n = len(test_subject_df)
    if n < 3:
        continue

Arafat245

// -------------------- Payload preparation --------------------
// Format: little-endian float32 (°C), to match the decodeUplink() shown.
static void prepareTxFrame(void) {
  float t = temperatureRead();                 // ESP32 on-die sensor (not ambient)
  last_temp_cX100 = (int16_t) lroundf(t * 100.0f); // keep your existing status display state

  // Serialize float32 to little-endian bytes explicitly
  static_assert(sizeof(float) == 4, "float must be 4 bytes (IEEE-754)");
  uint32_t raw;
  memcpy(&raw, &t, sizeof(raw));