当我们在 DataFrame.plot 方法中将 secondary_y 选项设置为 True 时，它将返回可用于设置标签的不同轴。importpandasaspdimportmatplotlib.pyplotaspltdf=pd.DataFrame({'Age':[22,12,18,25,30],'Height':[155,129,138,164,145],'Weight':[60,40,45
ax2.plot(demo0719['successRate']*100,'r-',label='successRate',linewidth=2) 1. 2. 3. 4. 5. 横坐标设置时间间隔 import matplotlib.dates as mdate ax1.xaxis.set_major_formatter(mdate.DateFormatter('%Y-%m-%d %H:%M:%S'))#设置时间标签显示格式 plt.xticks(pd.date_range(demo0719.index[...
create a twin of Axes for generating a plot with a sharex x-axis but independent y axis. The y-axis of self will have ticks on left and the returned axes will have ticks on the right. 意思就是,创建了一个独立的Y轴,共享了X轴。双坐标轴! 类似的还有twiny() ax1.xaxis.set_major_for...
plot(y[::-1],x,'g') plt.xlabel('x') plt.ylabel('y') plt.title('title inside 2') plt.show() 结果如下图所示: 十八、secondary axis 次坐标 import numpy as np import matplotlib.pyplot as plt x = np.arange(0, 10, 0.1) y1 = 0.05*x**2 y2 = -1*y1 fig, ax1 = plt....
ax.xaxis.set_ticks_position('bottom') # 设置x轴位于图像y=0处 ax.spines['bottom'].set_position(('data', 0)) # 设置x轴坐标在左部 ax.yaxis.set_ticks_position('left') # 设置y轴位于图像x=0处 ax.spines['left'].set_position(('data',0)) 示例代码 本文将两个figure进行对比,两个figur...
rot=None, fontsize=None, colormap=None, table=False, yerr=None, xerr=None, label=None, secondary_y=False, **kwds)ts.plot() 由Series直接生成图表 import numpy as np import pandas as pd import matplotlib.pyplot as plt % matplotlib inline # Series直接生成图表 ts = pd.Series(np.random....
figsize=None, use_index=True, title=None, grid=None, legend=False, style=None, logx=False, logy=False, loglog=False, xticks=None, yticks=None, xlim=None, ylim=None, rot=None, fontsize=None, colormap=None, table=False, yerr=None, xerr=None, label=None, secondary_y=False, **kwds...
参考:How to Add a Y-Axis Label to the Secondary Y-Axis in Matplotlib Matplotlib是Python中最流行的数据可视化库之一,它提供了丰富的绘图功能,能够创建各种类型的图表。在数据可视化过程中,我们经常需要在一个图表中展示多个数据系列,有时这些数据系列的单位或数量级可能不同。在这种情况下,使用双Y轴(主Y轴...
Adding a secondary graphwithinthe main graph area can be a powerful technique to add context to you figure. This is totally doable using theinset_axes()function as suggested in the examples below: Add an axis inside another axis Add a plot inside another plot ...
When uncommented, the values on the secondary y-axis are not processed by tick_function! ax2.yaxis.set_major_formatter(matplotlib.ticker.FormatStrFormatter('%.2g$\\pm \\beta$')) ## Finish the plot + save ax.set_title("with custom matplotlib.ticker.FormatStrFormatter") ax.grid() ax.le...