importmatplotlib.pyplotasplt# 设置默认图形尺寸plt.rcParams['figure.figsize']=[8.0,6.0]plt.rcParams['figure.dpi']=100# 创建一个使用默认设置的图形fig,ax=plt.subplots()ax.plot([1,2,3,4],[1,4,2,3],label='how2matplotlib.com')ax.set_title('Default Figure Size Example')ax.legend()plt.s...
5. 使用set_size_inches()方法 对于已经创建的Figure对象,你可以使用set_size_inches()方法来调整其大小。 importmatplotlib.pyplotasplt fig,ax=plt.subplots()ax.plot([1,2,3,4],[1,4,2,3])fig.set_size_inches(10,6)plt.title('Size changed using set_size_inches() - how2matplotlib.com')plt....
import matplotlib.pyplot as plt # 设置图表尺寸为宽度10英寸,高度6英寸 plt.figure(figsize=(10, 6)) # 绘制一些数据 x = [1, 2, 3, 4, 5] y = [5, 3, 1, 2, 4] plt.plot(x, y) # 设置图表标题 plt.title('Adjusting Figure Size to Fit the Screen') # 显示图表 plt.show() 为了...
'B','C','D')):Y=curve()X=np.linspace(-3,3,len(Y))ax=fig.add_subplot(2,2,i+1)ax.fill_between(X,3*Y,color=color[i])ax.plot(X,3*Y,color="k",linewidth=0.75)ax.text(0.05,0.95,label,transform=ax.transAxes,fontsize=16,fontweight='bold',va='top')plt.show()...
plt.title("size:{}, dpi:{}".format(fs, dpi)) plt.plot([0, 1, 2, 3], [3, 4, 2, 5]) plt.savefig(str(fs) + "-" + str(dpi_set) + ".png") if __name__ == "__main__": figsize = (2, 2) for i in range(1, 4): ...
ax.plot(x, y, label='trend') ax.set_title('title test', fontsize=12, color='r') plt.show() 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 2.annotate标注文字 (1)annotate语法说明 :annotate(s=‘str’ ,xy=(x,y) ,xytext=(l1,l2) ,…) ...
Pixels have unit size in data coordinates. Their centers are on integer coordinates,andtheir center coordinates range from0to columns-1horizontallyandfrom0to rows-1vertically. Note that the direction of the vertical axisandthus the defaultvaluesfortopandbottom depend on *origin*: ...
(120,150),xycoords='subfigure points',fontsize=15,color='red',arrowprops=dict(facecolor='black',shrink=0.05));axs[2].plot(x,y,color='yellowgreen',linewidth=4);axs[2].annotate(r'max point of $\sin(x)$',xy=(100,120),xytext=(120,150),xycoords='subfigure pixels',fontsize=15,...
hexbin(x, y, gridsize=30)# hexbin产生蜂窝状的小方格 cb = plt.colorbar(label='count in bin') plt.show() mplot3D绘制三维图 from mpl_toolkits import mplot3d %matplotlib inline import numpy as np import matplotlib.pyplot as plt fig = plt.figure() ax = plt.axes(projection='3d')# ...
fig=plt.figure(figsize=(15,6))ax=fig.add_subplot(111,xlim=(2002.5,2021.5),ylim=(0,6.5),yticks=([]))ax.tick_params("x",labelsize="x-small",which="major")ax.set_xticks(np.arange(2003,2022,2))# step2 plt.plot([2002.5,2021.5],[0,0],color="black",linewidth=1.0,clip_on=False...