Question

我正在研究一个机器学习项目，并且正在使用seaborn kdeplot在缩放后显示标准缩放器。但是，无论我改变图形大小有多大，图形都不会显示并且将显示错误： AttributeError：'numpy.ndarray'对象没有属性'plot'。我愿意展示的是一个5 * 4的子图，看起来像这样： 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

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])

如何在5 * 4子图中显示kdeplot？

1 个答案: