ax2.plot(t,s2,c="r",ls=":")# Make the y-axis label, ticks and tick labels match the line color.ax2.set_ylabel("余弦函数",color="r")ax2.tick_params("y", colors="r")plt.show()（2）代码精讲 我们使用函数subplots()，生成坐标轴实例ax1，绘制折线图ax1.plot()，使用ax1.set_ylab...
ax=plt.subplots()# 绘制散点图scatter=ax.scatter(x,y)# 为每个点添加标签fori,labelinenumerate(labels):ax.text(x[i],y[i],label,fontsize=9,ha='right',va='bottom')# 设置标题和轴标签ax.set_title
import matplotlib.pyplot as plt# Generate data for plots x = [1, 2, 3, 4, 5]y = x# Get an empty figurefig1 = plt.figure()# Get the axes instance at 1st location in 1x1 gridax = fig1.add_subplot(1,1,1)# Generate the plotax.plot(x, y)# Set labels for x and y axisax...
ax1.spines["bottom"].set_alpha(.3); ax2.spines["bottom"].set_alpha(.3) ax1.spines["right"].set_alpha(.3); ax2.spines["right"].set_alpha(.3) ax1.spines["left"].set_alpha(.3); ax2.spines["left"].set_alpha(.3) # font size of tick labels ax1.tick_params(axis='both'...
import matplotlib.pyplot as plt# Rectangle矩形类绘制柱状图fig = plt.figure()ax1 = fig.add_subplot(111)for i in range(1,17):rect = plt.Rectangle((i+0.25,0),0.5,i)ax1.add_patch(rect)ax1.set_xlim(0, 16)ax1.set_ylim(0, 16)plt.show() ...
如果要在刻度位置显示特定字符串,可以使用set_xticklabels和set_yticklabels方法。 x = np.linspace(-2 * np.pi, 2 * np.pi, 500)y = np.sin(x) * np.exp(-x**2/20)fig, axes = plt.subplots(1, 4, figsize=(12, 3))axes[0].plot(x, y, lw=2)axes[0].set_title("default ticks"...
网格from pylab import *axes = gca()axes.set_xlim(0,4)axes.set_ylim(0,3)axes.set_xticklabels([])axes.set_yticklabels([])show()多重网格from pylab import *subplot(2,2,1)subplot(2,2,3)subplot(2,2,4)show()极轴图from pylab import *axes([0,0,1,1])N = 20theta = np.arange(...
ax.set_xticks() 设置刻度 ax.set_xticklabels() 设置刻度标签 使用案例 代码规范标准框架 参考案例 dbscan.py configration.py 常用方法 fig, ax = plt.subplots() 等价于: fig=plt.figure() ax=fig.add_subplot(1, 1, 1) fig=plt.figure() ...
直接在plot()函数中设置 通过获得线对象,对线对象进行设置 获得线属性,使用setp()函数设置 代码语言:javascript 代码运行次数:0 运行 AI代码解释 from matplotlibimportpyplotasplt # 设置x和y的值 x=range(0,5)y=[2,5,7,8,10]#1)直接在plot()函数中设置 ...
T # Set up the axes with gridspec fig = plt.figure(figsize=(6, 6)) grid = plt.GridSpec(4, 4, hspace=0.2, wspace=0.2) main_ax = fig.add_subplot(grid[:-1, 1:]) y_hist = fig.add_subplot(grid[:-1, 0], xticklabels=[], sharey=main_ax) x_hist = fig.add_subplot(grid[...