x=np.linspace(0,10,100)y=np.sin(x)*np.exp(-x/10)plt.plot(x,y,label='sin(x) * exp(-x/10)')plt.xlim(auto=True)plt.ylim(auto=True)plt.margins(0.1)plt.title('Auto-adjusting axis limits with margins - how2matplotlib.com')plt.legend()plt.show() Python Copy Output: 在这个示例...
y,label='Sine wave from how2matplotlib.com')# 获取当前的x轴范围xmin,xmax=ax.get_xlim()# 使用limit_range_for_scale()调整范围new_xmin,new_xmax=ax.xaxis.limit_range_for_scale(xmin,xmax)# 设置新的x轴范围ax.set_xlim(new_xmin,new_xmax)ax.set_title('Using limit_ra...
ax.yaxis.grid(visible=congfig['ygrid_visible'], which=congfig['ygrid_which']) ax.xaxis.set_major_locator() ax.xaxis.set_minor_locator() ax.axis.set_major_formatter() ax.get_legend() ax.text(x=config['xtext'], y=congfig['ytext'], s=congfig['textsize']) ax.annotate() **ax....
plt.xlim(-1,2)#限制x坐标轴的显示区间 xlimit plt.ylim(-2,3)#限制y坐标轴的显示区间 ylimit plt.xlabel('I\'m x axis')#给x轴定义名称 plt.ylabel('I\'m y axis')#给y轴定义名称 #lw(linewidth)表示线的粗细,ls(linestyle)表示线的风格 p1,=plt.plot(x,y,color='red',lw=2.0,ls='--'...
=plt.hist(x=d, bins='auto', color='#0504aa',alpha=0.7,rwidth=0.85)plt.grid(axis='y', alpha=0.75)plt.xlabel('Value')plt.ylabel('Frequency')plt.title('My First Histogram Ever')plt.text(23, 45, r'$\mu=15, b=3$')maxfreq = n.max()# Set a clean upper y-axis limit.plt...
Then, use theplt.ylim()function to set the axis limit of the secondary y-axis. To display the graph, use theshow()function. Note:Use theylim()function after thetwinx()function or after the secondary y-axis axes object. If you, use this function anywhere else it will change the limits...
ylim,y limit,Y 轴的刻度范围; grid, 背景网格线; grid 中 color=0.5,表示 50%的黑色,即灰色; facecolor, 背景颜色; fig3=plt.figure(figsize=(8,6))axes4=fig3.add_axes([0,0,1,1])## [left, bottom, width, height]axes4.plot(x1,y1,color='k',alpha=0.70,lw=2,ls='-.',marker='o'...
# Define the upper limit, lower limit, interval of Y axis and colors y_LL = 100 y_UL = int(df.iloc[:, 1:].max().max()*1.1) y_interval = 400 mycolors = ['tab:red', 'tab:blue', 'tab:green', 'tab:orange'] # Draw Plot and Annotate ...
注:plt中有很多缩写,比如r代表red,y代表yellow,xlim即x-axis-limit(x轴的限制),另外g+,表示颜色是green,而后面的+号表示划线的样式。从源码中可以找到更多的缩写说明。 matplotlib/axes/_axes.py 在这个文件中,plot方法的注释里有相关描述: 代码语言:javascript ...
# set x,y_axis_limit ax.set_xlim(0,4) ax.set_ylim(0,2) # plot subplot ax.plot(x,y,c=(0.25,0.25,1.00),lw=2,zorder=10) # pair 0 # ax.plot(x,y,c=(0.25,0.25,1.00),lw=2,zorder=10) # pair 1 # set grid ax.grid(linestyle="-",linewidth=0.5,color='r',zorder=0) # ...