import matplotlib.pyplot as plt

import numpy as np

x = np.linespace(0.05, 10, 1000) #在x轴均匀取1000个点

y = np.cos(x) #对应的y值

plt.plot(x,y,ls="-", lw=2, label="plot figure")

'''

ls-------->线条的风格

lw--------->线条的宽度

label-------->标记图形内容的标签文本

'''

import matplotlib.pyplot as plt

import numpy as np

x = np.linspace(0.05, 10, 1000)

y = np.random.rand(1000)

plt.scatter(x, y, label="scatter figure")

plt.legend()

plt.show()

import matplotlib.pyplot as plt

import numpy as np

x = np.linspace(0.05,10,1000)

y = np.random.rand(1000)

plt.scatter(x, y, label="scatter figure")

plt.legend()

plt.xlim(2, 10)  #x轴的显示范围

plt.ylim(0,1)

plt.show()

import matplotlib.pyplot as plt

import numpy as np

x = np.linspace(0.05,10,1000)

y = np.sin(x)

plt.plot(x, y, ls="-", lw=2, c="c", label="plot figure") #c为颜色设置

plt.legend()

plt.xlabel("x-axis")  #x轴的标签

plt.ylabel("y-axis")

plt.show()

import matplotlib.pyplot as plt

import numpy as np

x = p.linspace(0.05,10,1000)

y = np.sin(x)

plt.plot(x, y, ls="-", lw=2, c="c", label="plot figure") #c为颜色设置

plt.legend()


plt.grid(linestyle="-", color="r")#linestyle------>线型=ls color------->颜色=c


plt.show()

import matplotlib.pyplot as plt

import numpy as np

x = p.linspace(0.05,10,1000)

y = np.sin(x)

plt.plot(x, y, ls="-", lw=2, c="c", label="plot figure") #c为颜色设置

plt.legend()

plt.axhline(y = 0.0, c="c", ls="--", lw=2)  #axh轴代表水平

plt.axvline(x = 4.0, c="c", ls="--", lw=2)  #axv代表竖直

plt.show()

import matplotlib.pyplot as plt

import numpy as np

x = np.linspace(0.05,10,1000)

y = np.sin(x)

plt.plot(x, y, ls="-.", lw=2, c="c", label="plot figure") #c为颜色设置

plt.legend()

plt.axvspan(xmin=4.0, xmax=6, facecolor="y", alpha = 0.3) #设置x轴的范围，范围颜色用facecolor

plt.axhspan(ymin=0, ymax=0.5, facecolor="y", alpha = 0.3)

plt.show()

import matplotlib.pyplot as plt

import numpy as np

x = np.linspace(0.05,10,1000)

y = np.sin(x)

plt.plot(x, y, ls="-.", lw=2, c="c", label="plot figure") #c为颜色设置

plt.legend()

plt.annotate("maximum",xy=(np.pi/2, 1),xytext = ((np.pi/2)+1.0, 0.8), weight = "bold", color = "b", arrowprops = dict(arrowstyle="->",connectionstyle = "arc3",color = "b"))

'''

string----->图形内容的注释文本

xy------->被注释图形内容的位置坐标

xytext------>注释文本的内容

weight------->注释文本的字体颜色

arrowprops------>指示被注释内容的箭头的属性字典

'''

plt.show()

import matplotlib.pyplot as plt

import numpy as np

x = np.linspace(0.05,10,1000)

y = np.sin(x)

plt.plot(x, y, ls="-.", lw=2, c="c", label="plot figure") #c为颜色设置

plt.legend()

plt.title("y=sin(x)")#添加标题

plt.show()

import matplotlib.pyplot as plt

import numpy as np

x = np.linspace(0.05,10,1000)

y = np.sin(x)

plt.plot(x, y, ls="-.", lw=2, c="c",label = "flot figure") #c为颜色设置

plt.legend(loc="upper right")#flot figure的位置，upper，left，right，lower等组合而成

plt.show()