首页import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns from pandas_profiling import ProfileReport from sklearn import datasets from mpl_toolkits.mplot3d import Axes3D from sklearn.decomposition import PCA from sklearn.preprocessing import StandardScaler data=pd.read_csv('H:/analysis_results/mean_HN.csv') columns=['folder', 'volume', 'convex_volume', 'surface_area','length','max_width', 'max_depth'] data.head() values=data.iloc[:,1:7] correlation=values.corr() fig,ax=plt.subplots(figsize=(12,10)) sns.heatmap(correlation,annot=True,annot_kws={'size':16},cmap='Reds',square=True,ax=ax) sns.pairplot(data,hue='folder') plt.show()如何保存这两张图

import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns from pandas_profiling import ProfileReport from sklearn import datasets from mpl_toolkits.mplot3d import Axes3D from sklearn.decomposition import PCA from sklearn.preprocessing import StandardScaler data=pd.read_csv('H:/analysis_results/mean_HN.csv') columns=['folder', 'volume', 'convex_volume', 'surface_area','length','max_width', 'max_depth'] data.head() values=data.iloc[:,1:7] correlation=values.corr() fig,ax=plt.subplots(figsize=(12,10)) sns.heatmap(correlation,annot=True,annot_kws={'size':16},cmap='Reds',square=True,ax=ax) sns.pairplot(data,hue='folder') plt.show()如何保存这两张图

时间: 2023-12-26 21:07:04 浏览: 138

import numpy as np import matplotlib.pyplot as plt import math

import numpy as np import matplotlib.pyplot as plt import math # 解决图标题中文乱码问题 import matplotlib as mpl mpl.rcParams['font.sans-serif'] = ['SimHei'] # 指定默认字体 mpl.rcParams['axes.unicode_minus'] = False # 解决保存图像是负号'-'显示为方块的问题 #原数据 data=np.array([[72.03,241.2,1592.74],[73.84,241.2,1855.36],[74.49,244.8,2129.60],[76.68,250.9,2486.86],[78.00,250.9,2728.94],[79.68,252.2,3038.90]]) #要预测数据的真实值 data_T=np.array([[81.21,256.5,3458.05],[82.84,259.4,3900.27],[84.5,262.4,4399.06],[86.19,265.3,4961.62],[87

你可以在代码的最后添加以下语句来保存这两张图： ```python fig.savefig('heatmap.png') sns_plot = sns.pairplot(data,hue='folder') sns_plot.savefig('pairplot.png') ``` 这将会把热力图保存为 `heatmap.png`，把散点图矩阵保存为 `pairplot.png`，并将它们存储在当前工作目录下。请确保你有当前工作目录的写入权限。

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