Seaborn 中的 Violin Plot 用于绘制箱线图和核密度估计的组合。被使用。使用值为quartile的内部参数将四分位数设置为水平线。seaborn.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框的顺序,即基于“角色”的顺序。使用值为四分位数的内部参数将四分位数设置为水平线 -
sb.violinplot(x = 'Role', y = "Age", order=["Batsman", "Bowler"], data = dataFrame, inner="quartile")
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 box order by passing an explicit order i.e. ordering on the basis of "Role" # quartiles as horizontal lines using the inner parameter with value quartile sb.violinplot(x = 'Role', y = "Age", order=["Batsman", "Bowler"], data = dataFrame, inner="quartile") # display plt.show()