本篇是《Seaborn系列》文章的第2篇.散点图散点图scatterplot函数原型参数解读案例教程案例地址散点图 scatterplotseaborn.scatterplot()散点图解读可以通过调整颜色、大小和样式等参数来显示数据之间的关系。函数原型seaborn.scatterplot(x=None, y=None, hue=None, ... ...
Explore and run machine learning code with Kaggle Notebooks | Using data from No attached data sources
下述代码演示了如何使用 Pandas 和 Seaborn 绘制相关性矩阵,并在右侧增加相关系数: importpandasaspdimportseabornassnsimportmatplotlib.pyplotasplt df=pd.read_csv('data.csv')corr_matrix=df.corr()sns.set_style('white')g=sns.PairGrid(df,diag_sharey=False)g.map_upper(sns.scatterpl...
2. Which library in Python is commonly used to create scatter matrix plots? A. NumPy B. Pandas C. Matplotlib D. Seaborn Show Answer Advertisement - This is a modal window. No compatible source was found for this media. 3. What type of data can be visualized with a scatter matri...