直方图和密度图

1.Set up the notebook

 

 

 

2.Load and examine the data

 

 

 

3.Histograms

a= chooses the column we'd like to plot (in this case, we chose 'Petal Length (cm)').

kde=False is something we'll always provide when creating a histogram, as leaving it out will create a slightly different plot.

 

4.Density plots

 

 

 

5.2D KDE plots

 

 

                              

 

 

the curve at the top of the figure is a KDE plot for the data on the x-axis (in this case, iris_data['Petal Length (cm)']), and

the curve on the right of the figure is a KDE plot for the data on the y-axis (in this case, iris_data['Sepal Width (cm)']).

 

6.Color-coded plots

 

 

 

 

 

 

 

 

 

            

 

 

 In this case, the legend does not automatically appear on the plot. To force it to show (for any plot type), we can always use plt.legend().