python数据可视化matplotlib的使用
# -*- coding:UTF-8 -*-import numpy as np
import matplotlib.pyplot as plt
from matplotlib.ticker import MultipleLocator
from pylab import mpl
import sys
reload(sys)
sys.setdefaultencoding('utf8')
xmajorLocator = MultipleLocator(10* 1) #将x轴主刻度标签设置为10* 1的倍数
ymajorLocator = MultipleLocator(0.1* 1) #将y轴主刻度标签设置为0.1 * 1的倍数
# 设置中文字体
mpl.rcParams['font.sans-serif'] = ['SimHei']
# 导入文件数据
#data = np.loadtxt('test44.txt', delimiter=None, dtype=float )
#data = [,,]
data = [,,
,]
data = np.array(data)
# 截取数组数据
x = data #时间
y = data # 类别一的Y值
y2 = data #类别二的Y值
y3 = data #类别三的Y值
plt.figure(num=1, figsize=(8, 6))
ax = plt.subplot(111)
ax.xaxis.set_major_locator(xmajorLocator)
ax.yaxis.set_major_locator(ymajorLocator)
ax.xaxis.grid(True, which='major') #x坐标轴的网格使用主刻度
ax.yaxis.grid(True, which='major') #x坐标轴的网格使用主刻度
plt.xlabel('时间/t',fontsize='xx-large')#Valid font size are large, None, medium, smaller, small, x-large, xx-small, larger, x-small, xx-large
plt.ylabel('y-label',fontsize='xx-large')
plt.title('Title',fontsize='xx-large')
plt.xlim(0, 110)
plt.ylim(0, 1)
line1, = ax.plot(x, y, 'g.-',label="类别一",)
line2, = ax.plot(x,y2,'b*-',label="类别二",)
line3, = ax.plot(x,y3,'rD-',label="类别三",)
ax.legend((line1, line2,line3),('类别一','类别二','类别三'),loc=5) # loc可为1、2、3、4、5、6，分别为不同的位置
plt.show()
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