linestyle='--',linewidth=2)plt.axvline(x=0.7,ymin=0.1,ymax=0.9,color='blue',linestyle='-',linewidth=2)plt.title('Customized Vertical Line Range - how2matplotlib.com')plt.xlabel('X-axis')plt.ylabel('Y-axis')plt.ylim(0,1)plt.show()...
ax = fig.add_subplot(348) # 参数348的意思是:将画布分割成3行4列,图像画在从左到右从上到下的第8块 # 如果是第10块,要写成(3,4,10)这种形式 ax.plot(x,y) plt.show() 1. 2. 3. 4. 5. 6. 7. 8. 用例1: import matplotlib as mpl import matplotlib.pyplot as plt plt.rc('figure',...
add_subplot(grid[:-1, :-1]) ax_right = fig.add_subplot(grid[:-1, -1], xticklabels=[], yticklabels=[]) ax_bottom = fig.add_subplot(grid[-1, 0:-1], xticklabels=[], yticklabels=[]) """ Scatterplot on main ax """ ax_main.scatter('displ', 'hwy', s=df.cty * 4,...
plt.text(x,y,string,fontsize=15,verticalalignment=“top”,horizontalalignment=“right”) x,y:表示坐标值上的值 string:表示说明文字 fontsize:表示字体大小 verticalalignment:垂直对齐方式 ,参数:[ ‘center’ | ‘top’ | ‘bottom’ | ‘baseline’ ] horizontalalignment:水平对齐方式 ,参数:[ ‘center’...
{y_annotation:.1f})',xy=(x_annotation+3,y_annotation),xytext=(x_annotation+15,y_annotation+0.1),arrowprops=dict(facecolor='black',edgecolor='black',shrink=0.05,width=0.5,headwidth=8))# 在y=2的线上添加标注plt.text(x_values[-1],2,'2-近似',verticalalignment='bottom',horizontalalignment...
(via plot for instance), simply call this function with an iterable of strings, one for each legend item. For example:: ax.plot([1, 2, 3]) ax.legend(['A simple line'])Note:This way of using is discouraged, because the relation between ...
Plot a solid vertical gridline to highlight the median position plt.plot([50,50], [0, 5], 'grey', alpha=0.25)Build up the score labels for the right Y-axis by first appending a carriage return to each string and then tacking on the appropriate meta information (i.e., ...
Plot the time, open, close, high, low as a vertical line ranging from low to high. Use a rectangular bar to represent the open-close span. If close >= open, use colorup to color the bar, otherwise use colordown Parameters --- ax : `Axes` # 图对象 an Axes instance to plot to ...
x=np.linspace(0,10,100)y=np.sin(x)plt.figure(figsize=(10,6))plt.plot(x,y,linestyle='-',label='Solid')plt.plot(x,y+1,linestyle='--',label='Dashed')plt.plot(x,y+2,linestyle='-.',label='Dash-dot')plt.plot(x,y+3,linestyle=':',label='Dotted')plt.title('Basic Line Style...
(df.displ, 40, histtype='stepfilled', orientation='vertical', color='deeppink') ax_bottom.invert_yaxis # histogram in the bottom ax_right.hist(df.hwy, 40, histtype='stepfilled', orientation='horizontal', color='deeppink') # Decorations ax_main.set(title='Scatterplot with Histograms displ...