matplotlib 刻度的方向调整, in, out, inout

tech2022-12-30  107

背景:

win10, anaconda 4.8.3, python 3.8.3

matplotlib.pyplot画出的图中,刻度(tick)外向

想转为内向,网上介绍的 matplotlib.rcParams[‘xtick.direction’]=‘in’ 不起作用,也尝试了这行代码的位置(开始,中间,结尾)。

方法

在ax.tick_params[]中予以调整。例子: ax.tick_params("both", which='major', length=15, width=2.0, colors='r', direction='in') #"y", 'x', 'both' ax.tick_params(which ='minor', length=5, width=1.0, labelsize=10, labelcolor='0.6', direction='in') 完整的一个例子 # #刻度的 定位器、格式器 # import matplotlib.pyplot as plt import matplotlib as mpl import numpy as np from matplotlib.ticker import AutoMinorLocator, MultipleLocator, FuncFormatter x=np.linspace(0.5, 3.5, 100) y=np.sin(x) fig=plt.figure(figsize=(8,8)) ax=fig.add_subplot(111) #set x y -major_tick_locator ax.xaxis.set_major_locator(MultipleLocator(1.0)) #0-1, 未定义xlim, ylim时 ax.yaxis.set_major_locator(MultipleLocator(1.0)) #same as above #set x y -minor_tick_locator ax.xaxis.set_minor_locator(AutoMinorLocator(4)) #total 4个小刻度,包含最后一个与主刻度1重合 ax.yaxis.set_minor_locator(AutoMinorLocator(4)) #same as above #set x - minor_tick_formatter def minor_tick(x,pos): #n % n =0; m % n = m (m<n) if not x % 1.0: return "" return "%.2f" % x ax.xaxis.set_minor_formatter(FuncFormatter(minor_tick)) #为何可以不提供"x, pos"参数 给 minor_tick? #ax.yaxis.set_minor_formatter(FuncFormatter(minor_tick)) #change the appearance of ticks and tick labels ax.tick_params("both", which='major', length=15, width=2.0, colors='r', direction='in') #"y", 'x', 'both' ax.tick_params(which ='minor', length=5, width=1.0, labelsize=10, labelcolor='0.6', direction='in') #labelcolor为相对major颜色透明比例, 未说明x/y, 则适用于所有。 #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) #set grid ax.grid(linestyle='-', linewidth=0.5, color='r', zorder=0) plt.show()
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