Searched refs:np (Results 1 – 5 of 5) sorted by relevance
17 import numpy as np namespace165 tailless_buffer = np.array(buffer[:len(buffer) - tail_length])169 downsampled_values = np.mean(170 np.resize(171 np.append(self._leftovers, tailless_buffer),
19 import numpy as np namespace111 pwlv_derivative_bool = list(np.diff([pwlv_list[0]] + pwlv_list) == 1)114 tx_power_derivative = np.diff([tx_power_list[0]] + tx_power_list)
21 import numpy as np namespace349 measurements = np.array([sample.values for sample in buffer.samples])350 readings = np.zeros((len(buffer.samples), 5))368 readings[:, channel] = np.where(
22 import numpy as np namespace423 readings = np.zeros((len(buffer.samples), 5))425 measurements = np.array([sample.values for sample in buffer.samples])426 calibrated_value = np.zeros((len(buffer.samples), 2))452 readings[:, channel] = np.where(
20 import numpy as np namespace615 reported_asu_power = np.nanmean(down_power_measured)701 avg_up_power = np.nanmean(up_power_per_chain[0])702 if np.isnan(avg_up_power):