使用SeaBorn ŌĆō Python Pandas创建Point Plot

seaborn.pointplot() 用于创建点图。假设以下是我们的数据集，格式为CSV文件 − Cricketers.csv

首先，导入所需的三个库−

import seaborn as sb
import pandas as pd
import matplotlib.pyplot as plt

从CSV文件加载数据到Pandas DataFrame中−

dataFrame = pd.read_csv("C:\Users\amit_\Desktop\Cricketers.csv")

用年龄和体重列绘制点图−

sb.pointplot(x =dataFrame["Age"], y = dataFrame["Weight"], data = dataFrame)

示例

以下是代码−

import seaborn as sb
import pandas as pd
import matplotlib.pyplot as plt

# Load data from a CSV file into a Pandas DataFrame
dataFrame = pd.read_csv("C:\Users\amit_\Desktop\Cricketers.csv")

# plotting point plot with Age and Weight column
sb.pointplot(x =dataFrame["Age"], y = dataFrame["Weight"], data = dataFrame)

# label
plt.ylabel("Weight (kgs)")

# display
plt.show()

输出

这将产生以下输出−

使用SeaBorn ŌĆō Python Pandas创建Point Plot

示例

下面再看另一个示例，其中设置了hue参数−

import seaborn as sb
import pandas as pd
import matplotlib.pyplot as plt

# Load data from a CSV file into a Pandas DataFrame
dataFrame = pd.read_csv("C:\Users\amit_\Desktop\Cricketers.csv")

# plotting point plot with Age and Weight column
# we have set the hue parameter as Role columns
sb.pointplot(dataFrame['Age'],dataFrame['Weight'], hue=dataFrame['Role'])

# label
plt.ylabel("Weight (kgs)")

# display
plt.show()