<p>好的,分类了。在</p>
<p>这段代码为纯数据中的每个cap提供了一行。在</p>
<p>但是,它看起来确实非常占用资源(使用率监视器标记为50%左右),而且这是没有运行pd补丁的。有没有一个简单的方法可以让它更有效?在</p>
<p>谢谢你!在</p>
<pre><code>import os
import sys
import time
import captouch as MPR121
# Create MPR121 instances
cap1 = MPR121.MPR121()
cap2 = MPR121.MPR121()
cap3 = MPR121.MPR121()
cap4 = MPR121.MPR121()
# Initialize communication with all 4 MPR121s
cap1.begin( 0x5a )
cap2.begin( 0x5b )
cap3.begin( 0x5d )
cap4.begin( 0x5c )
# Define send2Pd function
def send2Pd (message=' '):
os.system("echo '" + message + "' | pdsend 3000");
# Start loop
while True:
# Filtered and baseline data are commented out
# filtered = [cap1.filtered_data(i) for i in range(12)]
# print 'Filt:', '\t'.join(map(str, filtered))
# base = [cap1.baseline_data(i) for i in range(12)]
# print 'Base:', '\t'.join(map(str, base))
# Difference for all 4 boards are calculated, printed in terminal and sent to Pure Data
diff1 = [cap1.baseline_data(i)-cap1.filtered_data(i) for i in range(12)]
print 'Diff1:', '\t'.join(map(str, diff1))
send2Pd ('diff1: ' + '\t'.join(map(str, diff1)) + ';')
diff2 = [cap2.baseline_data(i)-cap2.filtered_data(i) for i in range(12)]
print 'Diff2:', '\t'.join(map(str, diff2))
send2Pd ('diff2: ' + '\t'.join(map(str, diff2)) + ';')
diff3 = [cap3.baseline_data(i)-cap3.filtered_data(i) for i in range(12)]
print 'Diff3:', '\t'.join(map(str, diff3))
send2Pd ('diff3: ' + '\t'.join(map(str, diff3)) + ';')
diff4 = [cap4.baseline_data(i)-cap4.filtered_data(i) for i in range(12)]
print 'Diff4:', '\t'.join(map(str, diff4))
send2Pd ('diff4: ' + '\t'.join(map(str, diff4)) + ';')
# Short pause before repeating loop
time.sleep(0.1)
</code></pre>