matplotlib——折线图

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折线图

例子：x = range(1,10,1) y = [1,2,3,4,5,6,7,8,9] 绘制折线图

# -*- coding: utf-8 -*-
from matplotlib import pyplot as plt
x = range(1,10,1)
y = [1,2,3,4,5,6,7,8,9]

plt.plot(x,y)
plt.show

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# -*- coding: utf-8 -*-
from matplotlib import  pyplot as plt
x = range(0,10,2)
y = [25,13,19,15,16]

# 设置图片大小
plt.figure(figsize =(20,8),dpi =100)

# 绘图
plt.plot(x,y)

#设置x轴的刻度
# plt.xticks(range(0,10,0.5))
_xtick_lables = [i/2  for i in range(0, 20)]
plt.xticks(_xtick_lables)

# 设置y轴的刻度
plt.yticks(range(min(y),max(y)+1))

#保存图形
# plt.savefig("./t1.png")

# 展示图像
plt.show()

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# -*- coding: utf-8 -*-
from matplotlib import pyplot as plt
import random
import matplotlib

# 字体修改样式
font = {'family' : 'Microsoft YaHei',
        'size'   : '15'}
matplotlib.rc('font',**font)

x = range (0,120)
y = [random.randint(20,35) for i in range(120)]

plt.figure(figsize=(20,10),dpi=80)

plt.plot(x,y)

# 调整x轴的显示
_x = list(x)[::10]
_xtick_lables = ["10点{}分".format(i) for i in range(60)]
_xtick_lables += ["11点{}分".format(i) for i in range(60)]
# 取步长，数字和字符串一一对应，数据的长度一样，[::10] 列表取步长为10
plt.xticks(_x,_xtick_lables[::10],rotation=125)

# 添加描述性息
plt.xlabel("时间")
plt.ylabel("温度")
plt.title("温度随时间变化的情况")

plt.show()

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# -*- coding: utf-8 -*-
from matplotlib import pyplot as plt
# 字体修改样式
from pylab import mpl
import random
mpl.rcParams['font.sans-serif']=['SimHei']

y_1 = [1,2,1,3,3,5,2,1,1,3,2,1,2,5,2,2,5,4,3,2]
y_2 = [0,1,1,1,2,2,3,1,2,2,1,2,1,3,3,5,2,1,1,3]
x = range(11,31,1)

# 设置图片大小和分辨率
plt.figure(figsize=(20,10),dpi=80)

# 绘图
plt.plot(x,y_1,label="自己",color="#000000",linestyle=":")
plt.plot(x,y_2,label="同桌",color="#fff000",linestyle="-")

# 调整坐标轴的显示
_xtick_lables = ["{}岁".format(i) for i in x]
plt.xticks(x,_xtick_lables)

plt.yticks(range(0,8))

# 添加描述性息
plt.xlabel("年龄")
plt.ylabel("个数")
plt.title("每年几个")

# 加图例
plt.legend(loc='upper left')
    # locations are、best、upper right、upper left、lower left、lower right、right、center left、center right、lower center、upper center、center

# 绘制网格
plt.grid(linestyle="-.")
plt.show()

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