Python 如何手动更改Seaborn jointplot上边距图的记号标签

我正在尝试使用对数刻度作为我的seaborn jointplot的边距图。我正在使用set_xticks（）和set_yticks（），但我的更改不会显示。下面是我的代码和结果图：

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

tips = sns.load_dataset('tips')
female_waiters = tips[tips['sex']=='Female']

def graph_joint_histograms(df1):
    g=sns.jointplot(x = 'total_bill',y = 'tip', data = tips, space = 0.3,ratio = 3)
    g.ax_joint.cla()
    g.ax_marg_x.cla()
    g.ax_marg_y.cla()

    for xlabel_i in g.ax_marg_x.get_xticklabels():
        xlabel_i.set_visible(False)
    for ylabel_i in g.ax_marg_y.get_yticklabels():
        ylabel_i.set_visible(False)

    x_labels = g.ax_joint.get_xticklabels()
    x_labels[0].set_visible(False)
    x_labels[-1].set_visible(False)

    y_labels = g.ax_joint.get_yticklabels()
    y_labels[0].set_visible(False)
    y_labels[-1].set_visible(False)

    g.ax_joint.set_xlim(0,200)
    g.ax_marg_x.set_xlim(0,200)

    g.ax_joint.scatter(x = df1['total_bill'],y = df1['tip'],data = df1,c = 'y',edgecolors= '#080808',zorder = 2)
    g.ax_joint.scatter(x = tips['total_bill'],y = tips['tip'],data = tips, c= 'c',edgecolors= '#080808')

    ax1 =g.ax_marg_x.get_axes()
    ax2 = g.ax_marg_y.get_axes()
    ax1.set_yscale('log')
    ax2.set_xscale('log')

    ax1.set_yscale('log')
    ax2.set_xscale('log')

    ax2.set_xlim(1e0, 1e4)
    ax1.set_ylim(1e0, 1e3)
    ax2.xaxis.set_ticks([1e0,1e1,1e2,1e3])
    ax2.xaxis.set_ticklabels(("1","10","100","1000"), visible = True)


    plt.setp(ax2.get_xticklabels(), visible = True)
    colors = ['y','c']
    ax1.hist([df1['total_bill'],tips['total_bill']],bins = 10, stacked=True,log = True,color = colors, ec='black')

    ax2.hist([df1['tip'],tips['tip']],bins = 10,orientation = 'horizontal', stacked=True,log = True,color = colors, ec='black')
ax2.set_ylabel('')

任何想法都将不胜感激

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下面是生成的图形：

您实际上应该从

g.ax\u marg\u y.get\u axes（）

行中得到一个错误，因为轴没有

get\u axes（）

方法。 纠正这一点

ax1 =g.ax_marg_x
ax2 = g.ax_marg_y

应该给你想要的情节。不幸的是，日志轴的标签被直方图的

log=True

参数覆盖。因此，您可以将其忽略（因为您已经将轴设置为对数比例），或者在调用

hist

后需要设置标签

import matplotlib.pyplot as plt
import seaborn as sns

tips = sns.load_dataset('tips')

def graph_joint_histograms(tips):
    g=sns.jointplot(x = 'total_bill',y = 'tip', data = tips, space = 0.3,ratio = 3)
    g.ax_joint.cla()
    g.ax_marg_x.cla()
    g.ax_marg_y.cla()

    for xlabel_i in g.ax_marg_x.get_xticklabels():
        xlabel_i.set_visible(False)
    for ylabel_i in g.ax_marg_y.get_yticklabels():
        ylabel_i.set_visible(False)

    x_labels = g.ax_joint.get_xticklabels()
    x_labels[0].set_visible(False)
    x_labels[-1].set_visible(False)

    y_labels = g.ax_joint.get_yticklabels()
    y_labels[0].set_visible(False)
    y_labels[-1].set_visible(False)

    g.ax_joint.set_xlim(0,200)
    g.ax_marg_x.set_xlim(0,200)

    g.ax_joint.scatter(x = tips['total_bill'],y = tips['tip'],data = tips,
                       c = 'y',edgecolors= '#080808',zorder = 2)
    g.ax_joint.scatter(x = tips['total_bill'],y = tips['tip'],data = tips, 
                       c= 'c',edgecolors= '#080808')

    ax1 =g.ax_marg_x
    ax2 = g.ax_marg_y
    ax1.set_yscale('log')
    ax2.set_xscale('log')

    ax2.set_xlim(1e0, 1e4)
    ax1.set_ylim(1e0, 1e3)

    ax2.xaxis.set_ticks([1e0,1e1,1e2,1e3])
    ax2.xaxis.set_ticklabels(("1","10","100","1000"), visible = True)

    plt.setp(ax2.get_xticklabels(), visible = True)
    colors = ['y','c']
    ax1.hist([tips['total_bill'],tips['total_bill']],bins = 10, 
             stacked=True, color = colors, ec='black')

    ax2.hist([tips['tip'],tips['tip']],bins = 10,orientation = 'horizontal', 
             stacked=True, color = colors, ec='black')
    ax2.set_ylabel('')


graph_joint_histograms(tips)
plt.show()

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你两天前问过。我不认为在SO上重新发布相同的问题是一种好的做法，它肯定不会帮助您找到答案。是的，我知道。我正在尝试改进这个问题，因此我使它不依赖于我自己的数据集，并且我的原始问题缺少代码的详细信息。然后你应该更新原始问题，因为有两个ppl已经在尝试帮助你，你可以通知他们更改。我明白了，谢谢你！你知道为什么y边距图的勾号标签没有更改为1,101001000吗？