我有一个包含多个数据类的数据集。它们的组织方式如下:[频道,样本,任务]。有5个通道,每个通道每个通道1024个样本,有270个任务。我想要5个情节。每个频道一个。我想标记每个频道中的每个任务。我只是有颜色来及时识别每个任务。但颜色与任务无关。
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答案 0 :(得分:0)
for trial in range(12):
x = np.linspace(0, (tam_janela + tam_janela*trial), (tam_janela + tam_janela*trial) )
if labels[trial] == 1:
task_label = 'Left Hand'
elif labels[trial] == 2:
task_label = 'Right Hand'
elif labels[trial] == 3:
task_label = 'Both feet'
lab, = ch1.plot((x[(trial*1024):]), eegdata[0, :, trial], label = 'Inline label')
ch1.set_ylabel('Channel 1')
lab.set_label(task_label)
ch2.plot((x[(trial*1024):]), eegdata[1, :, trial])
ch2.set_ylabel('Channel 2')
ch3.plot((x[(trial*1024):]), eegdata[2, :, trial])
ch3.set_ylabel('Channel 3')
ch4.plot((x[(trial*1024):]), eegdata[3, :, trial])
ch4.set_ylabel('Channel 4')
ch5.plot((x[(trial*1024):]), eegdata[4, :, trial])
ch5.set_xlabel('Time')
ch5.set_ylabel('Channel 5')
ch1.legend(loc='center left', fontsize = 7, ncol = 12)
plt.suptitle('EEG recordings from Subject A with 5 channels (V)')
plt.grid(True)
plt.show()