matplotlib / pyplot不绘制特定.txt文件中的数据

时间:2016-10-16 22:53:53

标签: python numpy matplotlib plot

我通过numpy的savetxt函数保存数据并将其提取到绘图中。当我绘制它时,脚本执行没有错误但不显示曲线 - 只有空窗口。这很奇怪,因为:

  1. 当我从另一个文件导入.txt数据时(同样使用savetxt保存),相同的脚本会生成一个很好的情节。

  2. 如果我在脚本中创建数据点,例如与arange,它的情节。

  3. .txt数据 已加载 - 我已将其打印到屏幕上。

  4. 我检查了我的后端,它是TkAgg,互联网认为它应该是。

  5. 我的代码是

     # this script makes the plots of the eigenvalue distributions for the AAS 17-225 paper
    
    # import python modules
    import numpy as np
    import matplotlib as mpl
    import matplotlib.pyplot as plt
    from matplotlib.ticker import MaxNLocator
    
    # set plot options 
    mpl.rcParams['xtick.major.size'] = 7
    mpl.rcParams['xtick.major.width'] = 3.0
    mpl.rcParams['ytick.major.size'] = 7
    mpl.rcParams['ytick.major.width'] = 3.0
    mpl.rcParams['axes.linewidth'] = 3.5
    
    plt.rc('text',usetex=True)
    mpl.rcParams['text.latex.preamble']=[r"\usepackage{amsmath}"]
    plt.rc('font',family='serif')
    plt.rc('axes',labelsize=24)
    plt.rc('xtick',labelsize=24)
    plt.rc('ytick',labelsize=24)
    plt.rc('font',weight='bold')
    plt.rc('axes',titlesize=20)
    
    # plot method arguments
    lw = 2 # linewidth
    left_adj = 0.055 # left adjustment 
    right_adj = 0.985 # left adjustment 
    top_adj = 0.975 # left adjustment 
    bottom_adj = 0.075 # left adjustment 
    wspace = 0.205 # horizontal space between plots
    hspace = 0.2 # verticle space between plots
    n_suplot_rows = 2 # number of subplot rows
    n_suplot_columns = 3 # number of subplot columns
    
    # load data
    dataDir ='/mnt/E0BA55A7BA557B4C/research/independent/recursivequats/paperCode/'
    df1 = dataDir+'lamda_0p1_0p1.txt'
    df2 = dataDir+'lamda_0.1_0.5.txt'
    df3 = dataDir+'lamda_0.1_1.0.txt'
    df4 = dataDir+'lamda_0.5_0.5.txt'
    df5 = dataDir+'lamda_0.5_1.0.txt'
    df6 = dataDir+'lamda_1.0_1.0.txt'
    
    profile1 = np.loadtxt(df1)
    profile2 = np.loadtxt(df2)
    profile3 = np.loadtxt(df3)
    profile4 = np.loadtxt(df4)
    profile5 = np.loadtxt(df5)
    profile6 = np.loadtxt(df6)
    
    fig = plt.figure()
    
    ax1 = fig.add_subplot(n_suplot_rows,n_suplot_columns,1)
    p1, = ax1.plot(profile1[:,1],profile1[:,0],linewidth=lw)
    
    ax2 = fig.add_subplot(n_suplot_rows,n_suplot_columns,2)
    p1, = ax2.plot(profile2[:,1],profile2[:,0],linewidth=lw)
    
    ax3 = fig.add_subplot(n_suplot_rows,n_suplot_columns,3)
    p1, = ax3.plot(profile3[:,1],profile3[:,0],linewidth=lw)
    
    ax4 = fig.add_subplot(n_suplot_rows,n_suplot_columns,4)
    p1, = ax4.plot(profile4[:,1],profile4[:,0],linewidth=lw)
    
    ax5 = fig.add_subplot(n_suplot_rows,n_suplot_columns,5)
    p1, = ax5.plot(profile5[:,1],profile5[:,0],linewidth=lw)
    
    ax6 = fig.add_subplot(n_suplot_rows,n_suplot_columns,6)
    p1, = ax5.plot(profile6[:,1],profile6[:,0],linewidth=lw)
    
    
    plt.subplots_adjust(left=left_adj,right=right_adj,top=top_adj,bottom=bottom_adj,wspace=wspace,hspace=hspace)
    plt.show()
    

1 个答案:

答案 0 :(得分:0)

好吧,多挖一点,问题已经确定。脚本绘图,但是图上的缩放很差,以至于它们被边框上的粗线遮挡。所以问题是用户错误。

这就是为什么工程师不应该成为艺术家......