我有以下代码:
import numpy as np
#make amplitude array
amplitude=[0,1,2,3, 5.5, 6,5,2,2, 4, 2,3,1,6.5,5,7,1,2,2,3,8,4,9,2,3,4,8,4,9,3]
#split arrays up into a line for each sample
traceno=5 #number of traces in file
samplesno=6 #number of samples in each trace. This wont change.
amplitude_split=np.array(amplitude, dtype=np.double).reshape((traceno,samplesno))
#Create two new arrays full of zeros, which has row=traceno, and column=samplesno. we can append to this later
fastpulse=np.zeros([traceno,samplesno])
slowpulse=np.zeros([traceno,samplesno])
testsamples=samplesno-1
diff_amp = np.diff(amplitude_split) #calculates the difference between each value in array
ave_dif=np.array(np.sum(diff_amp,1)/testsamples).reshape((testsamples,1)) #calculates the average difference for each line/trace
abs_ave_dif=np.absolute(ave_dif).reshape(testsamples,1)
for row in abs_ave_dif:
for col in row:
if col<1:
np.append(fastpulse,row in amplitude_split)
else:
np.append(slowpulse, row in amplitude_split)
print(fastpulse)
我正在尝试获取代码来计算我的振幅数组中的每一行是否大致恒定。如果是,我想将行追加到fastpulse
数组,否则,我想将其追加到slowpulse
数组。
我已经使用np.diff操作来计算每行中的值之间的差异,并将它们取平均值。我正在使用for循环进行追加。即如果平均差小于1,则将振幅_分割行附加到新数组。我认为这就是我的问题所在。
我对fast pulse
的当前输出是:
[[0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0.]
[0. 0. 0. 0. 0. 0.]]
我的预期输出是:
[[5 2 2 4 2 3]
[1 6 5 7 1 2]
[2 3 8 4 9 2]
[3 4 8 4 9 3]]
答案 0 :(得分:1)
您可以一次处理一行,这似乎更方便。检查diff的平均值是否在阈值内。您可以根据需要设置阈值。
import numpy as np
#make amplitude array
amplitude=[0,1,2,3, 5.5, 6,5,2,2, 4, 2,3,1,6.5,5,7,1,2,2,3,8,4,9,2,3,4,8,4,9,3]
#split arrays up into a line for each sample
traceno=5 #number of traces in file
samplesno=6 #number of samples in each trace. This wont change.
amplitude_split=np.array(amplitude, dtype=np.double).reshape((traceno,samplesno))
print(amplitude_split)
fastpulse = []
for row in amplitude_split:
mean_diff = np.mean(np.diff(row))
print(mean_diff)
if mean_diff < 0.5:
fastpulse.append(row)
print(fastpulse)