做php网站的环境,百度高级搜索页面,潍坊手机网站建设,网站聚合页Matplotlib是python的一个画图库#xff0c;便于数据可视化。
安装命令
pip install matplotlib
常用命令#xff1a; 绘制直线#xff0c;连接两个点
import matplotlib.pyplot as plt
plt.plot([0,5],[2,4])
plt.show()
运行结果如下#xff1a; 多条线#xff1a;…Matplotlib是python的一个画图库便于数据可视化。
安装命令
pip install matplotlib
常用命令 绘制直线连接两个点
import matplotlib.pyplot as plt
plt.plot([0,5],[2,4])
plt.show()
运行结果如下 多条线
import numpy as np
import matplotlib.pyplot as plt
xnp.linspace(0,10,100)
plt.plot(x,x0,--g,label--g)
plt.plot(x,x1,-.r,label-.r)
plt.plot(x,x2,:b,label:b)
plt.plot(x,x4,.k,label.k)
plt.plot(x,x5,*m,label*m)
plt.legend(locupper left,fancyboxTrue,framealpha1,shadowTrue,borderpad1)#图例位置默认左上角,lower right右下角
plt.show() 绘制折线
import matplotlib.pyplot as plt
x [1, 2, 3, 4, 5, 6]
y []
for i in range(0, len(x)):y.append(x[i] ** 2)
print()
plt.plot(x,y)
plt.show()
运行结果如下 设置样式
import matplotlib.pyplot as plt
x [1, 2, 3, 4, 5, 6]
y []
for i in range(0, len(x)):y.append(x[i] ** 2)
print()
plt.plot(x,y,linewidth5)
plt.rcParams[font.sans-serif][SimHei]
plt.xlabel(X)
plt.ylabel(X的平方)
plt.title(折线图绘制)
plt.show() 绘制曲线
import numpy as np
import matplotlib.pyplot as plt
xnp.linspace(0,10,100)
sin_ynp.sin(x)
cos_ynp.cos(x)
plt.plot(x,sin_y)
plt.plot(x,cos_y)
plt.show() 分区
plt.subplot(1,2,1)
plt.plot(x,sin_y)
plt.subplot(1,2,2)
plt.plot(x,cos_y)
plt.show() 绘制散点图
import numpy as np
import matplotlib.pyplot as plt
np.random.seed(0)
xnp.random.rand(100)
ynp.random.rand(100)
#10size
sizenp.random.rand(100)*1000
#100color
colornp.random.rand(100)
plt.scatter(x,y,ssize,ccolor,alpha0.7)#alpha透明度
plt.show()
运行结果如下 条形图
import numpy as np
import matplotlib.pyplot as plt
plt.rcParams[font.sans-serif][SimHei]
x[1995,2000,2005,2010,2015,2020]
x_label[1995年,2000年,2005年,2010年,2015年,2020年]
y[100,200,300,400,300,200]
plt.bar(x,y,width3)
plt.xticks(x,x_label)
plt.xlabel(年份)
plt.ylabel(销量)
plt.show() 横向的条形图
import numpy as np
import matplotlib.pyplot as plt
np.random.seed(0)
xnp.arange(6)
ynp.random.randint(-5,5,6)
v_barplt.barh(x,y,colorblue)
for bar,height in zip(v_bar,y):if height0:bar.set(colorgreen)
plt.axvline(0)
plt.show() 柱状图组合
import numpy as np
import matplotlib.pyplot as plt
plt.rcParams[font.sans-serif][SimHei]
real_names[熊大,熊二,熊三]
real_num1[7548,4013,1673]
real_num2[5453,3840,1980]
real_num3[1348,2345,1890]
xnp.arange(len(real_names))
width0.3
plt.bar(x,real_num1,alpha0.5,widthwidth,labelreal_names[0])
plt.bar([iwidth for i in x],real_num2,alpha0.5,widthwidth,labelreal_names[1])
plt.bar([i2*width for i in x],real_num3,alpha0.5,widthwidth,labelreal_names[2])
x_label[第{}天.format(i1) for i in x]
plt.xticks([iwidth for i in x],x_label)
plt.title(柱状图组合)
plt.ylabel(数量)
plt.legend()
plt.show() 绘制直方图
import numpy as np
import matplotlib.pyplot as plt
xnp.random.normal(0,1,1000)
ynp.random.normal(-2,1,1000)
znp.random.normal(3,2,1000)
kwargsdict(bins100,alpha0.5)
plt.hist(x,**kwargs)
plt.hist(y,**kwargs)
plt.hist(z,**kwargs)
plt.show() 饼图
import matplotlib.pyplot as plt
plt.rcParams[font.sans-serif][SimHei]
values [15, 30, 45, 10]
total sum(values)
sizes [v / total for v in values]
labels [类别1, 类别2, 类别3, 类别4]
fig, ax plt.subplots()
ax.pie(sizes, labelslabels, autopct%1.1f%%, startangle90)
ax.axis(equal)
plt.show() 等高线图
import numpy as np
import matplotlib.pyplot as plt
xnp.linspace(-10,10,100)
ynp.linspace(-10,10,100)
X,Ynp.meshgrid(x,y)
Znp.sqrt(X**2Y**2)
plt.contourf(X,Y,Z)
#plt.contour(X,Y,Z) #不填充的
plt.show() 三维图形
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
X[1,1,2,2]
Y[3,4,4,3]
Z[1,100,1,1]
triangles [[0, 1, 2]]
fig plt.figure()
ax fig.add_subplot(111, projection3d)
ax.plot_trisurf(X, Y, Z, trianglestriangles, cmapviridis)
plt.show()
