Seaborn 中的 Violin Plot 用于绘制箱线图和核密度估计的组合。用于此。使用 的order参数设置显式顺序。seaborn.violinplot()violinplot()
假设以下是 CSV 文件形式的数据集 - Cricketers.csv
首先,导入所需的库 -
import seaborn as sb import pandas as pd importmatplotlib.pyplotas plt
将 CSV 文件中的数据加载到 Pandas DataFrame 中 -
dataFrame = pd.read_csv("C:\\Users\\amit_\\Desktop\\Cricketers.csv")
用角色和年龄绘制小提琴情节。通过传递明确的顺序来控制顺序,即基于“角色”的顺序。
sb.violinplot(x = 'Role', y = "Age", order=["Batsman", "Bowler"], data = dataFrame)
以下是代码
import seaborn as sb import pandas as pd importmatplotlib.pyplotas plt # Load data from a CSV file into a Pandas DataFrame dataFrame = pd.read_csv("C:\\Users\\amit_\\Desktop\\Cricketers.csv") # plotting violin plot with Role and Age # Control order by passing an explicit order i.e. ordering on the basis of "Role" # ordering set using the order parameter sb.violinplot(x = 'Role', y = "Age", order=["Batsman", "Bowler"], data = dataFrame) # display plt.show()输出结果
这将产生以下输出 -