相关疑难解决方法(0)

Matplotlib提供以下功能:

cla()   # Clear axis
clf()   # Clear figure
close() # Close a figure window

该文档没有提供很多关于这些功能之间的区别的见解.我什么时候应该使用每个功能,它究竟做了什么？

我正在处理来自许多天线基线的观测数据.目前我正在工作的是绘制~40个数字,每个数字都有4x5子图区域.我发现在使用matplotlib在循环中绘制和保存数字时速度很慢.这是我的代码:

    import numpy as np
    import matplotlib.pyplot as plt
    import time
    ...

    PLT_PAGE_NUM = 39 # default is 39
    SUB_PLT_NUM = 20 # default is 20

    for pp in xrange(0,PLT_PAGE_NUM):

        plt.figure(figsize=(20,12))

        start_time = time.clock() 
        for kk in xrange(0,SUB_PLT_NUM):
            plt.subplot(5,4,kk+1)
            plt.plot(np.arange(0,TIME_LENGTH), xcor_real_arr[20*pp+kk,0:],'r-',
                     range(0,TIME_LENGTH), xcor_imag_arr[20*pp+kk,0:],'b-')
            plt.title('XCOR of '+ ind_arr[20*pp+kk], color='k') 

        plt.savefig('test_imag_real'+str(pp)+'.png',format='png',dpi=100)
        print 'Fig-'+str(pp)+' has been saved'
        print "Excution time:", time.clock()-start_time

执行时间信息是:

######### Check your inputs setting #########
You have selected 2 files.
The time interval is From 2011-10-20_14:28:38 to 2011-10-20_15:10:54
Your time …