如何增加Matplotlib底部的空间？

发布于 2025-02-12 13:41:58 字数 1328 浏览 0 评论 0原文

我使用以下命令在matplotlib中创建一个图：

    fig = plt.figure()
    ax = plt.axes() 
    ax.plot ( xdata, ydata )
    my_cmap = cm.seismic
    ax.tick_params ( axis='x', labelsize=16 )
    ax.tick_params ( axis='y', labelsize=16 )
    sm = plt.cm.ScalarMappable ( cmap=my_cmap, norm=plt.Normalize(vmin=0, vmax=1) )
    cbar = plt.colorbar(sm, orientation='vertical') 
    cbar.set_ticks ( [0, 1] )
    cbar.set_ticklabels( ["Poorest", "Best"] ) 
    cbar.ax.tick_params(labelsize=14)
    cbar.ax.set_ylabel ("Quality of solvent", fontsize=18, rotation=270)
    ax.set_xscale('log')
    ax.set_xlabel ( "Temperature (reduced)", fontsize=18) 
    ax.set_ylabel ( "$\\xi$", fontsize=18)
    ax.yaxis.set_major_locator(matplotlib.ticker.MaxNLocator(11))
    ax.set_yticks (np.linspace(0, 1, 11)) 
    fig.tight_layout ()
    plt.savefig   ( "DOP_"+str(dop)+"_parameter.png", dpi=1000)

我将获得以下图像：

这篇文章：在matplotlib？中的图形底部，建议我使用plt.tight_layout（），但显然不起作用。如何将额外的空间添加到图的底部，同时保持0.0至1.0？

原文

I am creating a plot in matplotlib using the following commands:

    fig = plt.figure()
    ax = plt.axes() 
    ax.plot ( xdata, ydata )
    my_cmap = cm.seismic
    ax.tick_params ( axis='x', labelsize=16 )
    ax.tick_params ( axis='y', labelsize=16 )
    sm = plt.cm.ScalarMappable ( cmap=my_cmap, norm=plt.Normalize(vmin=0, vmax=1) )
    cbar = plt.colorbar(sm, orientation='vertical') 
    cbar.set_ticks ( [0, 1] )
    cbar.set_ticklabels( ["Poorest", "Best"] ) 
    cbar.ax.tick_params(labelsize=14)
    cbar.ax.set_ylabel ("Quality of solvent", fontsize=18, rotation=270)
    ax.set_xscale('log')
    ax.set_xlabel ( "Temperature (reduced)", fontsize=18) 
    ax.set_ylabel ( "$\\xiquot;, fontsize=18)
    ax.yaxis.set_major_locator(matplotlib.ticker.MaxNLocator(11))
    ax.set_yticks (np.linspace(0, 1, 11)) 
    fig.tight_layout ()
    plt.savefig   ( "DOP_"+str(dop)+"_parameter.png", dpi=1000)

I am getting the following image:

This post: How do I extend the margin at the bottom of a figure in Matplotlib? suggested I use plt.tight_layout(), but that evidently did not work. How do I add additional space to the bottom of the plot, while maintaining the yrange from 0.0 to 1.0?

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