Question

运行下面显示的代码时，我得到一个包含2个图例的图形。我不知道为什么要绘制两个，而我却无法删除其中一个。我的目的是保留图例外部的图例，删除图例内部的图例，并以某种方式停止从图例外部切断图例右侧的怪异裁剪。

我之前有一个question提出了类似的要求，但是通过使用seaborns散点图而不是relplot解决了该问题。令人遗憾的是，在该问题中起作用的答案都没有在这里起作用。如果此问题是由于我试图绘制的人物类型的“非常规”方式引起的，请告诉我。正确地做比比破解解决方案要好...

    import matplotlib.pyplot as plt
    import seaborn as sns
    import numpy as np
    import pandas as pd


    #setup
    sns.set(font_scale=2)
    sns.set_context('poster')

    #figure and axes
    fig = plt.figure(figsize=(20,20))
    axs = {i:fig.add_subplot(330+i) for i in range(1,10)}




    #create random data
    r = np.random.randint
    N=10
    df = pd.DataFrame(columns=['No.','x1','x2','x3','y1','y2','y3'])
    for i in range(N):
        df.loc[i] = i+1,r(50,high=100),r(50,high=100),r(50,high=100),r(50,high=100),r(50,high=100),r(50,high=100)

    #create axes labels
    x_labels = ['x1','x2','x3']
    y_labels = ['y1','y2','y3']
    xy_labels = [(x,y) for y in y_labels for x in x_labels ]


    #plot on axes
    for i,(x_label,y_label) in enumerate(xy_labels):
        if i ==0:#if statement so only one of the plots has legend='full'
            a = sns.scatterplot(
                data=df,
                x=x_label,
                y=y_label,
                legend='full', #create the legend
                ax=axs[i+1],
                hue='No.',
                palette=sns.color_palette("hls", N)
            )

            fig.legend(bbox_to_anchor=(1, 0.7), loc=2, borderaxespad=0.) #Move the legend outside the plot
            a.legend_.remove() #attempt to remove the legend
        else:
            a = sns.scatterplot(
                data=df,
                x=x_label,
                y=y_label,
                legend=False,
                ax=axs[i+1],
                hue='No.',
                palette=sns.color_palette("hls", N)
            )

        #remove axes labels from specific plots
        if i not in [0,3,6]: axs[i+1].set_ylabel('')
        if i not in [6,7,8]: axs[i+1].set_xlabel('')


    #add line plots and set limits        
    for ax in axs.values():
        sns.lineplot(x=range(50,100),y=range(50,100), ax=ax, linestyle='-')
        ax.set_xlim([50,100])
        ax.set_ylim([50,100])


    fig.tight_layout()

Answer 1

您可以在代码的最后部分添加Process.Start("powershell.exe", coupleOfParameters。

legend=False

结果：

Seaborn为什么要绘制两个图例，我如何删除一个并修复另一个图例？

1 个答案: