weight='bold') fig = sns.heatmap(df_corr, #所绘数据 cmap='coolwarm', #颜色 annot=True,fmt='.3g',#annot为热力图上显示数据；结果保留3位数字 annot_kws={'size': 18, 'style': 'normal',
Syntax: sns.heatmap( data, vmin=None, vmax=None, cmap=None, center=None, robust=False, annot=None, fmt=’.2g’, annot_kws=None, linewidths=0, linecolor=’white’, cbar=True, cbar_kws=None, cbar_ax=None, square=False, xticklabels=’auto’, yticklabels=’auto’, mask=None, ax...
seaborn.heatmap(data, vmin=None, vmax=None, cmap=None, center=None, robust=False, annot=None, fmt='.2g', annotkws=None, linewidths=0, linecolor='white', cbar=True, cbarkws=None, cbar_ax=None, square=False, ax=None, xticklabels=True, yticklabels=True, mask=None, **kwargs) d...
sns.heatmap(df.corr(), annot=True, cmap='coolwarm') plt.title('Heatmap of Correlations') plt.show() # 绘制箱线图 plt.figure(figsize=(10, 6)) sns.boxplot(x='species', y='sepal_length', data=df) plt.title('Box Plot of Sepal Length by Species') plt.xlabel('Species') plt.yla...
bold') fig = sns.heatmap(df_corr, #所绘数据 cmap='coolwarm', #颜色 annot=True,fmt...
bold') fig = sns.heatmap(df_corr, #所绘数据 cmap='coolwarm', #颜色 annot=True,fmt...
bold') fig = sns.heatmap(df_corr, #所绘数据 cmap='coolwarm', #颜色 annot=True,fmt...