如何在Python中实现矩阵分析

import pandas
import matplotlib
import matplotlib.pyplot as plt

mainColor = (42/256, 87/256, 141/256, 1);

#设置字体
font = {
    'family': 'SimHei',
    'size': 20    
}
matplotlib.rc('font', **font);


data = pandas.read_csv(
    'D:\\PDA\\5.8\\data.csv'
)

fig = plt.figure(
    figsize=(30, 20), 
    dpi=80
)

sp = fig.add_subplot(111)

sp.set_xlim([
    0, 
    data.GDP.max()*1.1
])
sp.set_ylim([
    0, 
    data.population.max()*1.1
])

#关闭坐标轴、坐标轴的刻度值
#sp.axis('off')
sp.get_xaxis().set_ticks([])
sp.get_yaxis().set_ticks([])

#画点
sp.scatter(
    data.GDP, data.population, 
    alpha=0.5, s=200, marker="o", 
    edgecolors=mainColor, linewidths=5
)

#画均值线
sp.axvline(
    x=data.GDP.mean(), 
    linewidth=1, color=mainColor
)
sp.axhline(
    y=data.population.mean(), 
    linewidth=1, color=mainColor
)

sp.axvline(
    x=0, 
    linewidth=3, color=mainColor
)
sp.axhline(
    y=0, 
    linewidth=3, color=mainColor
)

sp.set_xlabel('GDP')
sp.set_ylabel('人口')

#画标签
data.apply(
    lambda row: plt.text(
            row.GDP, 
            row.population, 
            row.province, 
            fontsize=15
        ), 
    axis=1
)

plt.show()