>>>import numpy as np
>>>import matplotlib.pyplot as plt
>>>import statsmodels.graphics.api as smg
>>> hie_data = sm.datasets.randhie.load_pandas()>>> corr_matrix = np.corrcoef(hie_data.data.T)>>> smg.plot_corr(corr_matrix, xnames=hie_data.names)>>> plt.show()
函数图
Functional Plots
函数图
functional.hdrboxplot
高密度区域箱线图
functional.fboxplot
绘制函数箱线图
functional.rainbowplot
为一组曲线创建一个彩虹图
functional.banddepth
计算一组函数曲线的带深度
>>>import matplotlib.pyplot as plt
>>>import statsmodels.api as sm
>>> data = sm.datasets.elnino.load()>>> fig = plt.figure()>>> ax = fig.add_subplot(111)>>> res = sm.graphics.hdrboxplot(data.raw_data[:,1:],... labels=data.raw_data[:,0].astype(int),... ax=ax)>>> ax.set_xlabel("Month of the year")>>> ax.set_ylabel("Sea surface temperature (C)")>>> ax.set_xticks(np.arange(13, step=3)-1)>>> ax.set_xticklabels(["","Mar","Jun","Sep","Dec"])>>> ax.set_xlim([-0.2,11.2])>>> plt.show()