Question

如何在Python 3中使用Matplotlib绘制数据

Answer 1

matplotlib的pyplot子库提供了和matlab类似的绘图API，方便用户快速绘制2D图表。例子：
# coding=gbk
'''
Created on Jul 12, 2014
python 科学计算学习：numpy快速处理数据测试@author: 皮皮
'''
import string
import matplotlib.pyplot as plt
import numpy as np
if __name__ == '__main__':
file = open(E:machine_learningdatasetshousing_datahousing_data_ages.txt, 'r')linesList = file.readlines()
# print(linesList)
linesList = [line.strip().split(,) for line in linesList]
file.close()
print(linesList:)
print(linesList)
# years = [string.atof(x[0]) for x in linesList]
years = [x[0] for x in linesList]
print(years)
price = [x[1] for x in linesList]
print(price)
plt.plot(years, price, 'b*')#,label=$cos(x^2)$)plt.plot(years, price, 'r')
plt.xlabel(years(+2000))
plt.ylabel(housing average price(*2000 yuan))plt.ylim(0, 15)
plt.title('line_regression & gradient decrease')plt.legend()
plt.show()