Seaborn 中的点图用于使用散点图字形显示点估计值和置信区间。用于此。对于显式顺序,请使用方法的order参数。seaborn.pointplot()pointplot()
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“学院”和“年龄”绘制点图。通过传递明确的命令来控制命令,即基于“学院”的排序。使用 order 参数订购 -
sb.pointplot( x = 'Academy',y = 'Age', data = dataFrame, order=["Tasmania", "South Australia", "Victoria"] )
以下是完整的代码 -
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") sb.set_theme(style="darkgrid") # plotting point plot with Academy and Age # Control order by passing an explicit order i.e. ordering on the basis of "Academy" # ordering using the order parameter sb.pointplot( x = 'Academy',y = 'Age', data = dataFrame, order=["Tasmania", "South Australia", "Victoria"] ) # display plt.show()输出结果
这将产生以下输出 -