因子图的轴有什么问题？

Question

我有这个数据集：kaggle：房价：高级回归技术。我按如下方式加载了它：import numpy as npimport pandas as pdimport matplotlib.pyplot as plt%matplotlib inlineimport seaborn as snsimport scipy.stats as sttrain = pd.read_csv("train.csv")然后，我尝试使用整体质量作为色调，按年份构建绘制销售价格：plt.figure(figsize = [8, 6])sns.factorplot(    x = 'YearBuilt',    y = 'SalePrice',     data = train,    kind='swarm',    hue='OverallQual',    palette = 'Set2')plt.title('House Sale Prices (log scale) vs. Year Built and Overall Quality')plt.xticks([1880, 1900, 1920, 1940, 1960, 1980, 2000], ['1880', '1900', '1920', '1940', '1960', '1980', '2000'])#plt.xlim([1872,2009])plt.xlabel('Year Built')plt.yscale('log')#plt.ylim([4e4, 6e5])plt.yticks([6e4, 1e5, 1.4e5, 1.8e5, 2.4e5, 3.2e5, 4e5, 6e5], ['60k', '100k', '140K', '180k', '240K', '320k', '600k'])plt.ylabel('Sale Price ($)')plt.show()结果如下图所示：如果我包含 xlim 或 ylim，则图形根本不会显示出来。我是新手，所以任何帮助都非常感谢。

Answer 1

plt.style.use('ggplot')

g = sns.catplot(

    x = 'YearBuilt',

    y = 'SalePrice',

    data = train,

    kind='swarm',

    hue='OverallQual',

    palette = 'Set2', height=6, aspect=2)

locs, labels = plt.xticks()  # use if needed, as explained below.

for axes in g.axes.flat:

    for ind, label in enumerate(axes.get_xticklabels()):

        if ind % 8 == 0:  # every nth label is kept

            label.set_visible(True)

        else:

            label.set_visible(False)

plt.title('House Sale Prices (log scale) vs. Year Built and Overall Quality')

plt.xlabel('Year Built')

plt.yscale('log')

plt.ylim([4e4, 6e5])

plt.yticks([6e4, 1e5, 1.4e5, 1.8e5, 2.4e5, 3.2e5, 4e5, 6e5], ['60k', '100k', '140K', '180k', '240K', '320k', '600k'])

plt.ylabel('Sale Price ($)')

plt.show()

plt.style.use('ggplot')

g = sns.catplot(

    x = 'YearBuilt',

    y = 'SalePrice',

    data = train,

    kind='swarm',

    hue='OverallQual',

    palette = 'Set2', height=6, aspect=2)

locs, labels = plt.xticks()  # use if needed, as explained below.

for axes in g.axes.flat:

    for ind, label in enumerate(axes.get_xticklabels()):

        if ind % 8 == 0:  # every nth label is kept

            label.set_visible(True)

        else:

            label.set_visible(False)

plt.title('House Sale Prices (log scale) vs. Year Built and Overall Quality')

plt.xlabel('Year Built')

plt.yscale('log')

plt.ylim([4e4, 6e5])

plt.yticks([6e4, 1e5, 1.4e5, 1.8e5, 2.4e5, 3.2e5, 4e5, 6e5], ['60k', '100k', '140K', '180k', '240K', '320k', '600k'])

plt.ylabel('Sale Price ($)')

plt.show()