<jupyter_start><jupyter_text>Measurements by <NAME> (https://gitlab.ethz.ch/tec/research/permasense/engineering/blob/master/docs/dpp/dpp_inventory.ods)<jupyter_code># in µA
quiescent_currents = [1.8,1.8,1.0,2.6,1.0,1.4,2.1,1.9,1.7,3.2,1.7,1.3,1.4,1.5,1.6,1.0,3.0,1.6,1.5,1.5,5.0,0.9,3.6,1.6,2.1,3.5,1.4,1.6,1.3,1.6,0.9,1.3,1.7,1.1,2.2,1.2,1.8,1.4,2.6,1.4,1.5,2.3,5.0,1.4,1.2,0.8,5.2,1.4,1.3,2.8,1.4,1.0,1.0,2.6,2.7,2.0,2.3,1.8,2.8,2.2,1.7,3.6,1.0,1.7,1.1,1.8,2.0,3.8,1.6,2.5,2.6,2.7,1.3,2.7,2.0,2.3,2.4,4.0,2.0,1.4,1.3,1.9,1.9,1.2,1.6,1.4,1.3,]
%matplotlib inline

import matplotlib.pyplot as plt

%config InlineBackend.figure_format = 'svg'
plt.hist(quiescent_currents, 100, facecolor='k')
plt.title("Distribution of quiescent current over 87 DPP2 LoRa\nfor lowest possible power-consuming state\n(STM32L4 shutdown mode, SX1262 cold sleep, no RTC)")
plt.ylabel("Count")
plt.xlabel("Supply Current [µA]")
plt.gca().xaxis.grid(True)
plt.show()<jupyter_output><empty_output>