x=np.linspace(0,10,100)y=np.sin(x)plt.plot(x,y,label='sin(x)')plt.xlim(0,8)plt.ylim(-1.5,1.5)plt.title('How to set axis limits - how2matplotlib.com')plt.legend()plt.show() Python Copy Output: 在这个示例中,我们首先创建了一个
我们可以使用set_xticklabels()和set_yticklabels()函数来设置坐标轴的刻度标签。下面是一个示例代码: importmatplotlib.pyplotaspltimportnumpyasnp x=np.linspace(0,10,100)y=np.sin(x)plt.plot(x,y)plt.xticks([0,5,10],['起始','中间','结束'])plt.yticks([-1,0,1],['最小','中间','最...
y = [1, 4, 9, 16, 25]# Make an array of y values for each x value pl.plot(x, y)# use pylab to plot x and y pl.title(’Plot of y vs. x’)# give plot a title pl.xlabel(’x axis’)# make axis labels pl.ylabel(’y axis’) pl.xlim(0.0, 7.0)# set axis limits pl...
pl.ylabel(’y axis’) 1. 1. pl.xlim(0.0, 7.0)# set axis limits 1. pl.ylim(0.0, 30.) 1. 1. pl.show()# show the plot on the screen 1. 2.2.5在一个坐标系上绘制多个图 Plotting more than one plot on the same set of axes 做法是很直接的,依次作图即可: import numpy as np 1....
pl.xlabel(’x axis’)# make axis labels 1 2 pl.ylabel(’y axis’) 1 1 1 2 pl.xlim(0.0,9.0)# set axis limits 1 2 pl.ylim(0.0,30.) 1 1 1 pl.show()# show the plot on the screen 2.2.6 图例 Figure legends pl.legend((plot1, plot2), (’label1, label2’), 'best’, ...
pl.plot(x, y)# use pylab to plot x and y pl.title('Plot of y vs. x')# give plot a title pl.xlabel('x axis')# make axis labels pl.ylabel('y axis') pl.xlim(0.0, 7.0)# set axis limits pl.ylim(0.0, 30.) pl.show()# show the plot on the screen ...
) # set the ylim to ymin, ymax If you do not specify args, you can pass the *ymin* and *ymax* as kwargs, e.g.:: ylim(ymax=3) # adjust the max leaving min unchanged ylim(ymin=1) # adjust the min leaving max unchanged Setting limits turns autoscaling off for the y-axis....
gca()#gca=get current axis ax.spines['right'].set_color('none')#边框属性设置为none 不显示 ax.spines['top'].set_color('none') plt.show() 调整移动坐标轴 代码语言:javascript 代码运行次数:0 运行 AI代码解释 x=np.linspace(-3,3,50) y1=2*x+1 y2=x**2 plt.figure(num=2,figsize=(...
1dp=1sp=1px 二、介绍一下px 但如果使用 px 作单位，如果屏幕大小不变（假设还是3.2 寸），...
比如说，要把y轴缩放100万倍（1e6），代码是这样的：ax.ticklabel_format(style='sci', scilimits=(6, 6), axis='y')scilimits=(0, 0)的行为还和原来一样，Matplotlib会根据轴上的数值来调整数量级，不让它保持固定。以前，设置scilimits=(m, m)和设置scilimits=(0, 0)是一样的。为mpl_toolkits...