Python Matplotlib:如何在我的图表左侧显示和定位2个Y轴

Python Matplotlib:如何在我的图表左侧显示和定位2个Y轴,python,matplotlib,yaxis,Python,Matplotlib,Yaxis,我找到了这个。但我试着这样做: 我的速度YAxis在左边,而不是右边。有什么建议吗 提前感谢社区。好的,这里是诀窍 将负偏移添加到左侧: par2.脊椎[“左”]。设置位置((“轴”,-0.2)) 在左侧设置勾号:par2.yaxis.tick_left() 设置标签位置:par2.yaxis.set\u label\u position(“左”) 打开左侧脊椎:par2.脊椎[“left”].设置为可见(True) 因此,最终的完整代码是: import matplotlib.pyplot

我找到了这个。但我试着这样做:

我的速度YAxis在左边,而不是右边。有什么建议吗

提前感谢社区。

好的,这里是诀窍

  • 将负偏移添加到左侧:
    par2.脊椎[“左”]。设置位置((“轴”,-0.2))
  • 在左侧设置勾号:
    par2.yaxis.tick_left()
  • 设置标签位置:
    par2.yaxis.set\u label\u position(“左”)
  • 打开左侧脊椎:
    par2.脊椎[“left”].设置为可见(True)
  • 因此,最终的完整代码是:

    import matplotlib.pyplot as plt
    
    
    def make_patch_spines_invisible(ax):
        ax.set_frame_on(True)
        ax.patch.set_visible(False)
        for sp in ax.spines.values():
            sp.set_visible(False)
    
    
    fig, host = plt.subplots()
    fig.subplots_adjust(left=0.25)
    
    par1 = host.twinx()
    par2 = host.twinx()
    
    # Offset the right spine of par2.  The ticks and label have already been
    # placed on the right by twinx above.
    par2.spines["left"].set_position(("axes", -0.2))
    par2.yaxis.tick_left()
    par2.yaxis.set_label_position("left")
    
    # Having been created by twinx, par2 has its frame off, so the line of its
    # detached spine is invisible.  First, activate the frame but make the patch
    # and spines invisible.
    make_patch_spines_invisible(par2)
    # Second, show the right spine.
    par2.spines["left"].set_visible(True)
    
    p1, = host.plot([0, 1, 2], [0, 1, 2], "b-", label="Density")
    p2, = par1.plot([0, 1, 2], [0, 3, 2], "r-", label="Temperature")
    p3, = par2.plot([0, 1, 2], [50, 30, 15], "g-", label="Velocity")
    
    host.set_xlim(0, 2)
    host.set_ylim(0, 2)
    par1.set_ylim(0, 4)
    par2.set_ylim(1, 65)
    
    host.set_xlabel("Distance")
    host.set_ylabel("Density")
    par1.set_ylabel("Temperature")
    par2.set_ylabel("Velocity")
    
    host.yaxis.label.set_color(p1.get_color())
    par1.yaxis.label.set_color(p2.get_color())
    par2.yaxis.label.set_color(p3.get_color())
    
    tkw = dict(size=4, width=1.5)
    host.tick_params(axis='y', colors=p1.get_color(), **tkw)
    par1.tick_params(axis='y', colors=p2.get_color(), **tkw)
    par2.tick_params(axis='y', colors=p3.get_color(), **tkw)
    host.tick_params(axis='x', **tkw)
    
    lines = [p1, p2, p3]
    
    host.legend(lines, [l.get_label() for l in lines])
    
    plt.show()