如何在 5*4 子图中显示 kdeplot？

Question

我正在做一个机器学习项目，我正在使用 seaborn kdeplot 来显示缩放后的标准缩放器。但是，无论我更改多大的图形大小，图形都无法显示并且会显示错误：AttributeError: 'numpy.ndarray' object has no attribute 'plot'.我愿意展示的图像是一个 5*4 的子图，如下所示： expected subplot image

#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

你需要知道你有一个二维数组做这样的事情：

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

如何在 5*4 子图中显示 kdeplot？

How to show kdeplot in a 5*4 subplot?

machine-learning

subplot

seaborn