我正在学习大熊猫管道方法与seaborn情节:大多数东西很容易链接在一个衬里,但我很难管道xticklabel rotations
。
怎么办?
码:
import numpy as np
import pandas as pd
# plotting
import matplotlib.pyplot as plt
import seaborn as sns
%matplotlib inline
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)
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?
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: