Fresh evidence from partially linear functional-coefficient models Appendix B. Supplementary data【数据+Stata+Python】 示例代码 importpyreadstatimportpandasaspdimportmatplotlib.pyplotaspltimportseabornassnsimportscienceplotsplt.style.use('science')plt.style.use('no-latex')importwarningswarnings.filterwarnings(...
#绘制3D图像 import matplotlib.pyplot as plt from mpl_toolkits.mplot3d import Axes3D import numpy as np # 先定义一个图像窗口,在窗口上添加3D坐标轴 fig = plt.figure() ax = Axes3D(fig) # 给X, Y赋值 X = np.arange(-4, 4, 0.25) Y = np.arange(-4, 4, 0.25) X, Y = np.meshgrid...
pl.plot(x, y)# use pylab to plot x and y pl.show()# show the plot on the screen 2.1.2 散点图 Scatter plots 把pl.plot(x, y)改成pl.plot(x, y, 'o')即可,下图的蓝色版本 2.2 美化 Making things look pretty 2.2.1 线条颜色 Changing the line color 红色:把pl.plot(x, y, 'o')...
# Create the plot object _, ax = plt.subplots() # Plot the best fit line, set the linewidth (lw), color and # transparency (alpha) of the line ax.plot(x_data, y_data, lw = 2, color = '#539caf', alpha = 1) # Label the axes and provide a title ax.set_title(title) ax....
plot(xn,yn2) [<matplotlib.lines.Line2D at 0x20a8da18280>] #对比一下自定义的cs和scipy的cs,完全一致 for idx in range(len(x)-1): print(np.round(sp_cs.c[:,idx][::-1],4)) #scipy的abcd顺序是反过来写的 print(np.round(ncs.coef[:,idx],4)) [ 8.8516 0.2772 0. -0.2094] [ ...
linefmt:离散点到基线的垂线的样式markerfmt:离散点的样式basefmt:基线的样式这里fmt是format的简写。 7. 箱线图 —— boxplot() 箱线图是非常经典、实用且常用的一种用于观察连续数据分布的图形,它能清晰地展示出数据的上下四分位数、上下边缘、中位数的位置,还能根据规则帮助我们确定一些异常值,是观察数据分布...
Adjusting linewidths and linecolor can distinctly separate data points, making the heatmap more intuitive and visually striking. We can adjust the width of the lines separating the cells and change their color to make the distinction between cells clearer. ...
We will use theplot()method and pass 3 arrays, one each for the x, y, and z coordinates of the points on the line. import numpy as np x = np.linspace(−4*np.pi,4*np.pi,50) y = np.linspace(−4*np.pi,4*np.pi,50) ...
plt.figure(figsize=(10,6))sns.scatterplot(data=df,x='春节游客量(万人次)',y='游客量同比增长(%)',size='铁路客运量(万人次)',hue='类型',sizes=(50,500),alpha=0.8)plt.title('2025年春节北方城市游客量与增长关系')plt.xlabel('春节游客量(万人次)')plt.ylabel('同比增长(%)')plt.axhline...
plt.plot(dates, prices, marker='o', linestyle='-', color='b', label='股票价格') plt.title('股票价格走势') plt.xlabel('日期') plt.ylabel('价格') plt.grid(True) plt.legend() plt.show() 代码示例 2:绘制柱状图 importmatplotlib.pyplotasplt ...