corrs = df.corr() mask = np.zeros_like(corrs) mask[np.triu_indices_from(mask)] = True sns.heatmap(corrs, cmap='Spectral_r', mask=mask, square=True, vmin=-.4, vmax=.4) plt.title('Correlation matrix')Correlation matrix. Warm colors (red) indicate a positive correlation, cool ...
我们可以使用Seaborn库来实现这个效果。 # 使用Seaborn绘制热图plt.figure(figsize=(8,6))correlation_matrix=df.corr()sns.heatmap(correlation_matrix,annot=True,cmap='coolwarm',square=True)plt.title('变量之间的相关性热图')plt.show() 1. 2. 3. 4. 5. 6. 运行上述代码后,你会得到一个热图,清晰地...
cmap=sns.diverging_palette(50, 500, n=500),square=True)plt.show() Try it Yourself » Example Explained:Import the library seaborn as sns. Use the full_health_data set. Use sns.heatmap() to tell Python that we want a heatmap to visualize the correlation matrix. Use the correlation ...
热图是通过颜色强度来视觉呈现相关性的一种有效方式,虽然本文不涉及图形库,但你可以使用seaborn库来绘制热图: importseabornassnsimportmatplotlib.pyplotasplt# 绘制热图sns.heatmap(correlation_matrix,annot=True,cmap='coolwarm')plt.title('学习时间与考试得分的相关性')plt.show() 1. 2. 3. 4. 5. 6. 7....
ax.set_yticklabels(corr_matrix.columns, rotation = 0) ax.set_xticklabels(corr_matrix.columns) sns.set_style({'xtick.bottom': True}, {'ytick.left': True}) To create our heatmap, we pass in our correlation matrix from step 3 and the mask we created in step 4, along with custom...
Adding.pairplots()will create a matrix of scatterplots. More on pairplotshere[10]. columns = ['age', 'height_cm', 'weight_kg', 'movement','pace']sns.pairplot(data[columns]) How correlation can help your business? Correlation is widely used in real-life decision making. You will find ...
sns.heatmap(correlation_mat, annot = True) plt.title("Correlation matrix of Breast Cancer data") plt.xlabel("cell nucleus features") plt.ylabel("cell nucleus features") plt.show() Output: If we want, we could also change the position of the title to bottom by specifying the y position...
importseabornassnsimportpandasaspd# 读取示例数据集data=pd.read_csv('data.csv')# 计算相关性矩阵correlation_matrix=data.corr()# 绘制相关性图表sns.heatmap(correlation_matrix,annot=True,cmap='coolwarm') 1. 2. 3. 4. 5. 6. 7. 8. 9. ...
代码 def create_corr_matrix(df, dwelling_id, annot, size=(25,25)): """皮尔逊相关系数矩...
data = pandas.read_csv('energydata_complete.csv') cm = data.corr() sns.heatmap(cm, square = True) plt.yticks(rotation = 0) plt.xticks(rotation = 90) plt.show() so, we will get a correlation coefficient graph like this: correlation graph correlation matrix when using python to plot...