要在log scale上设置刻度间隔,可以使用matplotlib.ticker.LogLocator类。该类可以根据指定的基数(base)和刻度间隔(subs)来确定刻度位置。 下面是一个示例代码,演示如何在log scale上设置刻度间隔为2: 代码语言:txt 复制 import matplotlib.pyplot as plt import matplotlib.ticker as ticker # 创建一个示例图形 fig, ...
max(yd) ax.set_ylim([0.9*ymin, 1.1*ymax]) # add sub minor ticks ### set_sub_formatter=[] for i in sub_ticks: for j in range(sub_range[0],sub_range[1]): set_sub_formatter.append(i*10**j) k = [] for l in set_sub_formatter: if ymin<l<ymax: k.append(l) ax.set_...
25 How to show minor tick labels on log-scale with Matplotlib 1 How to set the ticks on a logarithmic axis in matplotlib 0 Matplotlib logarithmic axis ticks 5 How to set the ticks of log scale for x&y axis? 4 Matplotlib - ticks direction for a plot in logarithmic scale 3 minor...
设定轴的上下界、粗细、颜色 ax.plot(x,y,color='limegreen',label='Xovee')ax.set_yticks([-.5,0.,.5])ax.set_xticks([2,4,6,8])ax.spines['top'].set_visible(False)ax.spines['right'].set_visible(False)ax.spines['left'].set_bounds(-.5,.5)ax.spines['bottom'].set_bounds(2,8)...
yaxis.set_major_locator(FixedLocator(yticks[ind])) ax.set_ylim(ylims[ind]) # 标注数据 for i in range(14): cur_r2 = data[i, ind + 1] cur_skip = frac_b - cur_r2 - 1 / (text_skip + 1 / (frac_b - cur_r2)) # 实际间距与图上间距转换 if cur_r2 > 0: ax.text(x[i]...
其中,major_ticks和minor_ticks是刻度的位置列表。 可选:使用set_xticklabels函数设置主刻度的标签,使用set_xticklabels函数设置次要刻度的标签: 代码语言:txt 复制 ax.set_xticklabels(major_labels) ax.set_xticklabels(minor_labels, minor=True) 其中,major_labels和minor_labels是刻度的...
1. 使用set_xticks()和set_yticks()方法 最直接的方法是使用set_xticks()和set_yticks()方法来设置x轴和y轴的刻度位置。这些方法允许我们明确指定我们想要显示的刻度位置。 importmatplotlib.pyplotaspltimportnumpyasnp# 创建数据x=np.linspace(0,10,100)y=np.sin(x)# 创建图形plt.figure(figsize=(10,6)...
plt.rcdefaults()fig,ax=plt.subplots()# Example datapeople=('Tom','Dick','Harry','Slim','Jim')y_pos=np.arange(len(people))performance=3+10*np.random.rand(len(people))ax.barh(y_pos,performance,align='center',color='green')ax.set_yticks(y_pos)/指明y轴的刻度 ...
# Changing to the log ticks at x and y axis using loglog plt.loglog(basex=10, basey=2) plt.show() Matplotlib log log scatter Read:What is matplotlib inline Matplotlib log log histogram We can change the scale of the axes of the histogram in python by specifying the valueTrueto the ar...
axs[1].set_title('Manual ticks'); 1. 2. 3. 4. 5. 6. 7. 8. Plotting dates and strings Matplotlib可以处理日期和字符串数组的数据,就和我们处理浮点数一样。对于一个日期: fig, ax = plt.subplots(figsize=(5, 2.7), layout='constrained') ...