如何在癌症数据集中绘制各特征的分布

Question

我想要获得癌症数据集中的每个特征的分布使用get，但它给了我错误。

#pip install plotnine
from plotnine import ggplot
from plotnine import *
from sklearn.datasets import load_breast_cancer

for i in cancer.feature_names:
    ggplot(cancer.data)+aes(x=i)+geom_bar(size=10)

这是我收到的错误信息

ValueError:包含多个元素的数组的真值是不明确的。使用a.any()或a.all()

Answer 1

为此，我将再次承诺使用海航。下面是按目标绘制癌症数据集中每个特征的分布情况的示例：

import seaborn as sns
import pandas as pd
import numpy as np
from sklearn.datasets import load_breast_cancer    
# loading data
cancer = load_breast_cancer()
data = pd.DataFrame(np.c_[cancer['data'], cancer['target']],
                  columns= np.append(cancer['feature_names'], ['target']))

df = data.melt(['target'], var_name='cols',  value_name='vals')
g = sns.FacetGrid(df, col='cols', hue="target", palette="Set1", col_wrap=4)
g = (g.map(sns.distplot, "vals", hist=True, ))

Answer 2

from plotnine import ggplot
from plotnine import *
from sklearn.datasets import load_breast_cancer
cancer=load_breast_cancer()
import pandas as pd
import matplotlib.pyplot as plt
data=pd.DataFrame(cancer.data,columns=cancer.feature_names)


for i in data.columns:
    print(ggplot(data)+aes(x=i)+geom_density(size=1))
    print(ggplot(data)+aes(x=i)+geom_bar(size=10))