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machine-learning - 如何在 5*4 子图中显示 kdeplot？

问题描述

我正在做一个机器学习项目，并且正在使用 seaborn kdeplot 在缩放后显示标准缩放器。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'。我愿意显示的图像是看起来像这样的 5*4 子图： 预期的子图图像

#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])

标签： machine-learningseabornsubplot

解决方案

您需要知道您有一个二维数组，如下所示：

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

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