如何将命令“旋转 xticklabels”链接到 seaborn 图

Question

我正在学习使用 seaborn 绘图的 Pandas 管道方法：大多数东西都可以很容易地用单线链接起来，但是我很难将xticklabel rotations.怎么做？代码：import numpy as npimport pandas as pd# plottingimport matplotlib.pyplot as pltimport seaborn as sns%matplotlib inlinenames = ['mpg','cylinders', 'displacement','horsepower','weight',         'acceleration','model_year', 'origin', 'car_name']url = "http://archive.ics.uci.edu/ml/machine-learning-databases/auto-mpg/auto-mpg.data"df = pd.read_csv(url, sep='\s+', names=names)阴谋g = ( df.pipe((sns.factorplot, 'data'), x='model_year', y='mpg'))for ax in g.axes.flat:     plt.setp(ax.get_xticklabels(), rotation=45)所需骨架：( df.pipe((sns.factorplot, 'data'), x='model_year', y='mpg').set(xlim=(0,90), ylim=(0,80)).set (xticklabel_rotation = 45))这可能吗？所需图片：但我得到：

Answer 1

你快到了。而不是.set(xticklabel_rotation = 45)你想要.set_xticklabels(rotation=45)

import pandas as pd

import seaborn as sns

names = ['mpg','cylinders', 'displacement','horsepower','weight',

         'acceleration','model_year', 'origin', 'car_name']

url = "http://archive.ics.uci.edu/ml/machine-learning-databases/auto-mpg/auto-mpg.data"

df = pd.read_csv(url, sep='\s+', names=names)

(df.pipe((sns.factorplot, 'data'), x='model_year', y='mpg')

.set_xticklabels(rotation=45)

)

这给了我：