#! /usr/local/bin/python3
# -*- coding: utf-8 -*-import numpy as np
import pymysql
import matplotlib.pyplot as plt
from scipy.stats import pearsonrdef CollectData():db = pymysql.connect(host='localhost', port=3306, user='root', password='wy19941212', database='PySpider')cur = db.cursor()sql = 'SELECT price, score, menCount FROM Books ' 'where menCount > 500 ' 'order by price'cur.execute(sql)books = cur.fetchall()prices = []scores = []menCounts = []for book in books:prices.append( book[0] )scores.append( book[1] )menCounts.append( book[2] )cur.close()db.close()return prices, scores, menCountsif __name__ == '__main__':prices, scores, menCounts = CollectData()result = pearsonr( prices, menCounts )print( 'R: ' + str(result[0]) + ', P: ' + str(result[1])  )x = np.arange( 0, len( prices ) )plt.plot( x, prices, color='r', label = 'prices' )#plt.plot( x, scores, color='b', label = 'scores' )plt.legend( loc='upper left' )plt.twinx()plt.plot( x, menCounts, color='g', label = 'menCounts' )plt.legend( loc='upper right' )plt.show()

R: 0.08706866124259607, P: 0.06350280339889768

#! /usr/local/bin/python3
# -*- coding: utf-8 -*-import numpy as np
import matplotlib.pyplot as plt
from scipy.stats import pearsonrif __name__ == '__main__':ages = [25, 30, 40, 45, 50, 55, 60, 65, 70, 75, 80]costs = [621, 855, 1189, 1458, 1618, 1909, 2345, 3147, 4468, 6031, 8141]x = np.arange( 0, len(ages) )result = pearsonr( ages, costs )print( 'R: ' + str(result[0]) + ', P: ' + str(result[1]) )plt.plot( x, ages, color='r', label = 'ages' )plt.legend( loc='upper left' )plt.twinx()plt.plot( x, costs, color='g', label = 'costs' )plt.legend( loc='upper right' )plt.show()

R: 0.8896776681953972, P: 0.00024510246425286464