import matplotlib as mpl

import matplotlib.pyplot as plt

mpl.rcParams["font.sans-serif"] = ["SimHei"]

mpl.rcParams["axes.unicode_minus"] = False

x = [1,2,3,4,5,6,7,8]

y = [3,1,4,5,8,9,2,7]

plt.bar(x,y,align="center",color="c",tick_label = ["q","a","c","e","r","j","b","p"],hatch="-")

'''

align---->对齐方式

tick_label------->标签

hatch-------->填充内容

'''

#设置x,y标签

plt.xlabel("箱子编号")

plt.ylabel("箱子质量（kg）")

plt.show()

import matplotlib as mpl

import matplotlib.pyplot as plt

mpl.rcParams["font.sans-serif"] = ["SimHei"]

mpl.rcParams["axes.unicode_minus"] = False

x = [1,2,3,4,5,6,7,8]

y = [3,1,4,5,8,9,2,7]

plt.barh(x,y,align="center",color="c",tick_label = ["q","a","c","e","r","j","b","p"],hatch="/")

'''

align---->对齐方式

tick_label------->标签

hatch-------->填充内容

'''

#设置x,y标签

plt.ylabel("箱子编号")

plt.xlabel("箱子质量（kg）")

plt.show()

import matplotlib as mpl

import matplotlib.pyplot as plt

import numpy as np

mpl.rcParams["font.sans-serif"] = ["SimHei"]

mpl.rcParams["axes.unicode_minus"] = False

boxWeight = np.random.randint(0,10,100)

x = boxWeight

bins = range(0,11,1)

plt.hist(x, bins = bins, color = "g", histtype="bar", rwidth = 1,alpha=.6)

plt.xlabel("箱子质量（kg）")

plt.ylabel("销售数量（个）")

plt.show()

import matplotlib as mpl

import matplotlib.pyplot as plt

mpl.rcParams["font.sans-serif"] = ["SimHei"]

mpl.rcParams["axes.unicode_minus"] = False

kinds = "简易箱", "保温箱", "行李箱", "蜜蜂箱"

colors = ["#e41a1c", "#377eb8", "#4daf4a", "#984ea3"]

soldNumbers = [0.0954, 0.4583, 0.1573, 0.3495]

plt.pie(soldNumbers, labels=kinds, autopct="%3.1f%%", startangle=60, colors=colors)

'''

soldNumbers------>传入数据

labels-------->外围标签

autopct----------->精确度

startangle-------->开始角度

colors----------->对应颜色

'''

plt.title("不同种类箱子的销售数量占比")

plt.show()

import numpy as np

import matplotlib.pyplot as plt

barSlices = 12

theta = np.linspace(0.0, 2*np.pi, barSlices,endpoint=False)#角度

r = 30*np.random.rand(barSlices)#值

plt.polar(theta,r,color="chartreuse",linewidth=5,marker="*",mfc="b",ms=6)

#mfc-------->星的颜色  ms-------->星的大小

plt.show()

import numpy as np

import matplotlib.pyplot as plt

import matplotlib as mpl

a = np.random.randn(100)

b = np.random.randn(100)

plt.scatter(a, b, s=np.power(10*a+20*b,2),c=np.random.rand(100),cmap=mpl.cm.RdYlBu,marker="o")

'''

a,b为x,y坐标

s---->对应气泡大小

c----->散点标记颜色

cmap----->讲浮点数映射成颜色的颜色映射表

'''

plt.show()

import numpy as np

import matplotlib.pyplot as plt

x = np.linspace(0.5, 2*np.pi, 20)

y = np.random.randn(20)

plt.stem(x, y, linefmt="-.", markerfmt="o", basefmt="--")

'''

x,y------>对应x,y坐标的值

linefmt------>棉棒样式

markerfmt------>棉棒末端样式

basefmt--------->指定基线样式

'''

plt.show()

import matplotlib as mpl

import numpy as np

import matplotlib.pyplot as plt

mpl.rcParams["font.sans-serif"] = ["FangSong"]

mpl.rcParams["axes.unicode_minus"] = False

x = np.random.randn(1000)

plt.boxplot(x)

plt.xticks([1], ["随机数生成器AlphaRM"])

plt.ylabel("随机数值")

plt.title("随机数生成器抗干扰能力的稳定性")

plt.grid(axis="y", ls=":", lw=1, color="gray", alpha=.4)

plt.show()

import numpy as np

import matplotlib.pyplot as plt

x = np.linspace(.1, .6, 6)

y = np.exp(x)

plt.errorbar(x,y,fmt="bo:", yerr=0.2, xerr=.02)

plt.xlim(0, 0.7)

plt.show()