利用python语言和econml包写一段代码，需要计算处理变量公平感与结果变量幸福感在不同性别、城乡与区域群体中的处理效应异质性，并进行可视化呈现

建议使用以下代码：import econml
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt# 加载数据
df = pd.read_csv("data.csv")# 创建模型
model = econml.HeterogeneousTreatmentEffects(outcome_name='happiness',
treatment_name='treatment',
discrete_features=['gender', 'urban_rural', 'region'])# 训练模型
model.fit(df['fairness'], df['treatment'], df)# 计算并可视化不同群体的处理效应异质性
effects = model.effect(df['fairness'], df)
fig, ax = plt.subplots()
ax.scatter(df['gender'], effects)
ax.set_xlabel('Gender')
ax.set_ylabel('Happiness')
plt.show()