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...
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, ...
axs[5].xaxis.set_major_locator(ticker.AutoLocator()) axs[5].xaxis.set_minor_locator(ticker.AutoMinorLocator()) # Log Locator axs[7].set_xlim(10**3, 10**10) axs[7].set_xscale('log') axs[7].xaxis.set_major_locator(ticker.LogLocator(base=10, numticks=15)) # StrMethod formatter...
axs[5].xaxis.set_major_locator(ticker.AutoLocator) axs[5].xaxis.set_minor_locator(ticker.AutoMinorLocator) # Log Locator axs[7].set_xlim(10**3, 10**10) axs[7].set_xscale('log') axs[7].xaxis.set_major_locator(ticker.LogLocator(base=10, numticks=15)) # StrMethod formatter setup...
yaxis.set_minor_formatter(NullFormatter()) ax.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...
N)) cmap_gray = grayscale_cmap(cmap_name) grayscale = cmap_gray(np.arange(cmap_gray.N)) fig, ax = plt.subplots(2, figsize=(6, 2), subplot_kw=dict(xticks=[], yticks=[])) ax[0].imshow([colors], extent=[0, 10, 0, 1]) ax[1].imshow([grayscale], extent=[0, 10, 0,...
As far as I understood, AutoMinorLocator(n) is supposed to insert n minor ticks between each major tick, and this is what happens on a linear scale but simply cannot figure out the logic behind the placement of the minor ticks on a logscale. On the top of that, there are much more...
在使用对数刻度的时候,有时候我们需要在图表中显示对数坐标的网格。可以通过设置set_minor_locator和set_major_formatter来实现。下面是一个例子: importnumpyasnpimportmatplotlib.pyplotaspltfrommatplotlib.tickerimportLogLocator,LogFormatterx=np.linspace(1,100,100)y=np.log10(x)plt.plot(x,y)plt.xscale('log'...
Matplotlib loglog log scale y Matplotlib loglog log scale x Matplotlib loglog log scale minor ticks Matplotlib loglog log scale colorbar Table of Contents Matplotlib log log plot In python,matplotlibprovides a functionloglogthat makes the plot with log scaling on both of the axis (x-axis and y...
2 Matplotlib log scale formatting 1 fix x and y axis format in log scale 0 Label and tick marks disappear when using log scale in matplotlib python 0 Matplotlib logarithmic axis ticks 5 How to set the ticks of log scale for x&y axis? 3 minor ticklabel format of log scale 0 ...