绘制预测变量洞察图

Python 预测分析入门

Nele Verbiest, Ph.D

Data Scientist @PythonPredictions

预测变量洞察图

绘制目标发生率

import matplotlib.pyplot as plt
import numpy as np

# 绘图
pig_table["Incidence"].plot()

# 显示组名
plt.xticks(np.arange(len(pig_table)), 
    pig_table["income"])

# 使组名居中
width = 0.5
plt.xlim([-width, len(pig_table)-width])

plt.ylabel("Incidence", rotation = 0, 
    rotation_mode="anchor", 
    ha = "right")
plt.xlabel("Income")
plt.show()

绘制样本量

import matplotlib.pyplot as plt
import numpy as np
# 绘图

plt.ylabel("Size", rotation = 0,rotation_mode="anchor", ha = "right" )

pig_table["Incidence"].plot(secondary_y = True)

pig_table["Size"].plot(kind='bar', width = 0.5, 
                color = "lightgray", edgecolor = "none") ## 添加柱形

# 显示组名
plt.xticks(np.arange(len(pig_table)), pig_table["income"])
# 使组名居中
plt.xlim([-0.5, len(pt)-0.5])
plt.ylabel("Incidence", rotation = 0, rotation_mode="anchor", ha = "right"
plt.xlabel("Income")
plt.show()

绘制样本量

开始练习！

Python 预测分析入门