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
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
labels=labels,autopct='%1.1f%%',textprops=dict(color="w"))# 设置标签样式plt.setp(autotexts,...
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...
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() ...
sns.set_style("white") # %matplotlib inline # Version print(mpl.__version__) # >> 3.0.2 print(sns.__version__) # >> 0.9.0 本节内容 变化(Change) 35 时间序列图 (Time Series Plot)36 带波峰波谷标记的时序图 (Time Series with Peaks and Troughs Annotated)37 自相关和部分自相关图 (...
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(...
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[...
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() ...
mpl.rcParams['axes.unicode_minus'] =False#创建画布fig = plt.figure(figsize=(16, 8))#使用axisartist.Subplot方法创建一个绘图区对象axax = axisartist.Subplot(fig, 111)#将绘图区对象添加到画布中fig.add_axes(ax)#通过set_visible方法设置绘图区所有坐标轴隐藏ax.axis[:].set_visible(False)#ax.new_fl...