importmatplotlib.tickerasticker# Multiple Locatoraxs[1].xaxis.set_major_locator(ticker.MultipleLocator(0.5))axs[1].xaxis.set_minor_locator(ticker.MultipleLocator(0.1))# Index Locatoraxs[4].plot(range(0,5), [0]*5,color='white')axs[4].xaxis.set_major_locator(ticker.IndexLocator(base=0.5,of...
ax2.axis["top"].set_axis_direction("bottom")# 子图3ax3 = axislines.Subplot(fig,133) fig.add_subplot(ax3)# 前两位表示X轴范围,后两位表示Y轴范围ax3.axis([40,160,0,0.03]) ax3.axis["left"].set_axis_direction("right") ax3.axis[:].major_ticks.set_tick_out(True) ax3.axis["left"]...
ax.invert_yaxis() ax.set_xlabel('X-axis (s)') ax.set_ylabel('Y-axis (hours)') ax.set_title("Plot 2D array") plt.colorbar(mesh) plt.tight_layout() # fit the labels nicely into the plot plt.show() 有了Seaborn,事情就可以简化了,可以添加数小时和数秒的新列,并使用pandaspivot(它会...
axs[1].xaxis.set_major_locator(ticker.MultipleLocator(0.5)) axs[1].xaxis.set_minor_locator(ticker.MultipleLocator(0.1)) # Index Locator axs[4].plot(range(0, 5), [0]*5, color='white') axs[4].xaxis.set_major_locator(ticker.IndexLocator(base=0.5, offset=0.25)) # Auto Locator axs[...
ax = plt.gca() # gca stands for 'get current axis' ax.spines['right'].set_color('none') # 设置右‘脊梁’为无色 ax.spines['top'].set_color('none') # 设置上‘脊梁’为无色 ax.xaxis.set_ticks_position('bottom') # 底部‘脊梁’设置为X轴 ...
二维的轴(axis)分成xaxis和yaxis,其分别都包含tick和tick label。 一、函数定义 1.1 坐标轴设置 主要用于设置坐标轴的属性,返回值为当前的坐标轴范围 [xmin, xmax, ymin, ymax],几种调用方式如下: plt.axis(*v, **kwargs) 1.2 ticks xticks返回的是Text对象,那我们就可以去看matplotlib.text.Text都包含了...
toplabels=('Column 1', 'Column 2'), leftlabels=('Row 1', 'Row 2'), xlabel='xaxis', ylabel='yaxis', xscale='log', xlim=(1, 10), xticks=1, ylim=(-3, 3), yticks=pplt.arange(-3, 3), yticklabels=('a', 'bb', 'c', 'dd', 'e', 'ff', 'g'), ...
先用Proplot绘制一个简单的折线图: # Simple subplot import numpy as np import proplot as pplt state = np.random.RandomState(51423) data = 2 * (state.rand(100, 5) - 0.5).cumsum(axis=0) fig = pplt.figure() ax = fig.subplot(111) ax.plot(data, lw=2) fig.format( suptitle='Simple...
在这种情况下,一旦将x-axis正确格式化为日期时间,就可以应用其他matplotlib格式化方法。 Seepandas.DataFrame.plotandpandas.DataFrame.resample Tested inpython 3.8.11,pandas 1.3.1, andmatplotlib 3.4.2. import pandas as pd import matplotlib.pyplot as plt ...
ax.plot(xdata,plot_data,"b-") ax.set_xticks(range(len(labels))) ax.set_xticklabels(labels) ax.set_yticks([1.4,1.6,1.8]) # grow the y axis down by0.05ax.set_ylim(1.35,1.8) # expand the x axis by0.5at two ends ax.set_xlim(-0.5,len(labels)-0.5) ...