概述
试图将观察结果分别绘制到每次观察的多个尺度,我设法产生以下情节:
但是我想添加一个刻度,在每个刻度中显示y-max值,而不管它与前一刻度之间的差距.下面给出了这种情节的一个例子.当y-max是滴答间隔的倍数时产生.
谢谢,
F.
@H_419_13@import numpy as np import pylab as pl import matplotlib as plt import matplotlib.ticker as ticker import matplotlib.transforms def add_scales(fig,axes,scales,subplot_reduction_factor=0.1,margin_size=50): nb_scales = len(scales) b,l,w,h = zoom_ax.get_position().bounds _,ymax = axes.get_ylim() # Saves some space to the right so that we can add our scales fig.subplots_adjust(right=1-(subplot_reduction_factor)*nb_scales) for (n,(vmin,vmax,color,label,alignment)) in enumerate(scales): # Adjust wrt. the orignial figure's scale nax = fig_zoom.add_axes((b,(h * alignment) / ymax)) nax.spines['right'].set_position(('outward',-40+n*margin_size)) nax.set_ylim((vmin,vmax)) # Move ticks and label to the right nax.yaxis.set_label_position('right') nax.yaxis.set_ticks_position('right') # Hides everything except yaxis nax.patch.set_visible(False) nax.xaxis.set_visible(False) nax.yaxis.set_visible(True) nax.spines["top"].set_visible(False) nax.spines["bottom"].set_visible(False) # Color stuff nax.spines['right'].set_color(color) nax.tick_params(axis='y',colors=color) nax.yaxis.set_smart_bounds(False) #nax.yaxis.label.set_color(color) if label != None: nax.set_ylabel(None) if __name__ == '__main__': a=(np.random.normal(10,5,100)) a=np.linspace(0,100,100) c=np.linspace(0,80,100) d=np.linspace(0,40,100) fig_zoom = plt.pyplot.figure() zoom_ax = fig_zoom.add_subplot(1,1,1) zoom_ax.plot(a,c) zoom_ax.plot(a,d) zoom_ax.set_title('Zoom') zoom_ax.set_xlabel('A') zoom_ax.set_ylabel('B') zoom_ax.set_ylim((0,100)) zoom_ax.grid() add_scales(fig_zoom,zoom_ax,[(0,.55,'green',None,40),(0,.85,'blue',80)]) fig_zoom.savefig(open('./test.svg','w'),format='svg')
尝试将此添加到循环中:
@H_419_13@tcks = nax.get_yticks() tcks[-1] = vmax nax.set_yticks(tcks)
总结
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