在博文How to Create a Matplotlib Plot with Two Y Axes给出了绘制方法描述,下面进行测试以备之后使用之需。 1.2 绘制示例 使用twinx()函数绘制带有两个Y轴的曲线图非常容易。下面 示例演示如何是踹死 Matplotlib 绘制带有两个 Y 轴的图标。 1.2.1 例程:创建带有两个Y轴的Matplotlib ...
tick_params(axis='y', labelcolor=color) ax2 = ax1.twinx() # 创建共用x轴的第二个y轴 color = 'tab:purple' ax2.set_ylabel(label2, color=color) ax2.plot(x, y2, color=color) ax2.tick_params(axis='y', labelcolor=color) # 设置等间隔x轴 tick_spacing = 25 ax1.xaxis.set_...
plt.subplot(1,2,2) plt.plot(df.index,df.b,'-b') plt.plot(df.index,df.d,'-g') 第二:至少有两个不同y-axis的图: fig, ax = plt.subplots() ax2 = ax.twinx() ax.plot(df.index,df.a,'-b') ax2.plot(df.index,df.c,'-g') 但我所有的尝试都失败了。有人有解决办法吗? 为每...
Create a new Axes instance with an invisible x-axis and an independent y-axis positioned opposite to the original one (i.e. at right). The x-axis autoscale setting will be inherited from the original Axes. 大意就是使用这个函数,在原来的坐标系中新建一个共享x轴的双胞胎坐标系,类似的还有twin...
matplotlib.pyplot as plt # 生成随机数据 x = np.random.rand(50) y = np.random.rand(50) # 绘制散点图 plt.scatter(x, y, color='blue', alpha=0.5) # 设置标题和坐标轴标签 plt.title('Scatter Plot of Random Data') plt.xlabel('X Axis') plt.ylabel('Y Axis') # 显示图表 plt.show(...
(stock_movement))# plot eps surprise and stock movement on the two separate axesl1 = ax1.plot(eps_surprise, 'k--', label = 'eps surprise')l2 = ax2.plot(stock_movement, 'r', label = 'stock movement')# create legend for both axeslns = [l1[0], l2[0]]labs = [l.get_label(...
let’s create a single subplot first following by adding more subplotsx = np.random.rand(50)y = np.sin(x*2)#need to create an empty figure with an axis as below, figure and axis are two separate objects in matplotlibfig, ax = plt.subplots()#add the charts to the plotax.plot(y)...
matplotlib.use('TkAgg')# 重新导入pyplot以应用新后端importmatplotlib.pyplotasplt# 在新图形中显示保存的图像plt.figure()img=plt.imread('semilogy_plot.png')plt.imshow(img)plt.axis('off')# 隐藏坐标轴plt.show()
plt.plot(x, np.sin(x)) plt.xlim(10,0) plt.ylim(1.2,-1.2); 相关的函数还有plt.axis()(注意:这不是plt.axes()函数,函数名称是 i 而不是 e)。这个函数可以在一个函数调用中就完成 x 轴和 y 轴范围的设置,传递一个[xmin, xmax, ymin, y...
首先定·定义x, y创建一个figure 1importnumpy as np2importmatplotlib.pyplot as plt3x = np.linspace(-1, 1, 10)4y1 = 2*x5y2 = x*x6plt.figure() 使用plt.plot()画图 plt.plot(x, y1) plt.plot(x, y2, color="blue", linestyle="--", linewidth=1.0) ...