Python matplotlib text and graphics visualization and transform

Text

Add text or formulas for the plots, anyway, it is to add a text

Reference Links: https://matplotlib.org/api/_as_gen/matplotlib.pyplot.text.html#matplotlib.pyplot.text

Reference links (application): https://matplotlib.org/tutorials/text/text_intro.html#sphx-glr-tutorials-text-text-intro-py

Simple to use: (for more examples see application)

Parameter Description #: 
matplotlib.pyplot.text (X, Y, S, fontdict = None, withdash = <deprecated Parameter>, ** kwargs) 
S: added text 
time_text = ax.text (0.1, 0.9, '', transform ax.transAxes =) 
# when replacing text may 
time_text.set_text (time_template% (0.1 * i )) 
where time_template = 'time =% .1fs' , when this is convenient for replacement, if only once, then add, directly above write all like

Emerging issues:

*) The following code does not display text added, and finally found a reason to see axs.cla () reasons, so add axs.text directly animate in (....)

 

time_template='time=%.2fs'
    time_text=axs.text(0.1,0.90,"",transform=axs.transAxes)
    # def init():
    #     time_text.set_text("")
    #     return time_text
    frames=bidirectional_bubble_sort(original_data_object)
    def animate(fi):
        bars=[]
        if len(frames)>fi:
            axs.cla()
            # axs.text(0.1,0.90,time_template%(0.1*fi),transform=axs.transAxes)#所以这样
            time_text.set_text(time_template%(0.1*fi))#这个必须没有axs.cla()才行

            axs.set_title('bubble_sort_visualization')
            axs.set_xticks([])
            axs.set_yticks([])
            bars=axs.bar(list(range(Data.data_count)),Number #
                         [d.value for d in frames[fi]],#data
                         1,                             #宽度
                         color=[d.color for d in frames[fi]]#颜色
                         ).get_children()
        return bars
    anim=animation.FuncAnimation(fig,animate,frames=len(frames), interval=frame_interval,repeat=False)

　　

transform

that transform conversion means, different coordinate systems are converted

Reference Links: https://matplotlib.org/users/transforms_tutorial.html

Take the example above is concerned, when you add text to plots, it uses a coordinate transformation

xs.text (0.1,0.90, time_template% (0.1 * fi), transform = axs.transAxes) # Here, transform = axs.transAxes axis coordinates is, probably means that the long axis of abscissas 0.1 times the distance left, from below 0.90 times the ordinate axis, if the default is not written, then coordinate data 
, i.e., the horizontal axis is representative of 0.1 0.1 units, i.e., coordinate points