如何在5*4子图中显示kdeplot

Question

我正在进行一个机器学习项目，并使用seaborn kdeplot显示缩放后的标准缩放器。然而，无论我更改的图形大小有多大，图形都无法显示，并将显示错误：AttributeError:"numpy.ndarray"对象没有属性"plot">。我愿意显示的图像是一个5*4的子图形，如下所示：预期子图形

#feature scaling
#since numerical attributes have very different scales, 
#we use standardization to get all attributes to have the same scale
import pandas as pd
import numpy as np
from sklearn import preprocessing
import matplotlib
import matplotlib.pyplot as plt
import seaborn as sns
%matplotlib inline
matplotlib.style.use('ggplot')
scaler = preprocessing.StandardScaler()
scaled_df = scaler.fit_transform(train_set)
scaled_df = pd.DataFrame(scaled_df, columns=["SaleAmount","SaleCount","ReturnAmount","ReturnCount",
                     "KeyedAmount","KeyedCount","VoidRejectAmount","VoidRejectCount","RetrievalAmount",
                         "RetrievalCount","ChargebackAmount","ChargebackCount","DepositAmount","DepositCount",
                  "NetDeposit","AuthorizationAmount","AuthorizationCount","DeclinedAuthorizationAmount","DeclinedAuthorizationCount"])
fig, axes = plt.subplots(figsize=(20,10), ncols=5, nrows=4)
sns.kdeplot(scaled_df['SaleAmount'], ax=axes[0])
sns.kdeplot(scaled_df['SaleCount'], ax=axes[1])
sns.kdeplot(scaled_df['ReturnAmount'], ax=axes[2])
sns.kdeplot(scaled_df['ReturnCount'], ax=axes[3])
sns.kdeplot(scaled_df['KeyedAmount'], ax=axes[4])
sns.kdeplot(scaled_df['KeyedCount'], ax=axes[5])
sns.kdeplot(scaled_df['VoidRejectAmount'], ax=axes[6])
sns.kdeplot(scaled_df['VoidRejectCount'], ax=axes[7])
sns.kdeplot(scaled_df['RetrievalAmount'], ax=axes[8])
sns.kdeplot(scaled_df['RetrievalCount'], ax=axes[9])
sns.kdeplot(scaled_df['ChargebackAmount'], ax=axes[10])
sns.kdeplot(scaled_df['ChargebackCount'], ax=axes[11])
sns.kdeplot(scaled_df['DepositAmount'], ax=axes[12])
sns.kdeplot(scaled_df['DepositCount'], ax=axes[13])
sns.kdeplot(scaled_df['NetDeposit'], ax=axes[14])
sns.kdeplot(scaled_df['AuthorizationAmount'], ax=axes[15])
sns.kdeplot(scaled_df['AuthorizationCount'], ax=axes[16])
sns.kdeplot(scaled_df['DeclinedAuthorizationAmount'], ax=axes[17])
sns.kdeplot(scaled_df['DeclinedAuthorizationCount'], ax=axes[18])

Answer 1

您需要知道您有一个二维数组，因此如下所示：

  sns.kdeplot(scaled_df['DeclinedAuthorizationCount'], ax=axes[9,2])