frank_07的博客

http://pandas.pydata.org/pandas-docs/stable/generated/pandas.DataFrame.fillna.htmlimport pandas as pdimport numpy as npdf=pd.DataFrame(np.random.rand(5,6))df 0 1 2

import matplotlib.pyplot as pltimport numpy as npfrom scipy.optimize import curve_fitx = np.arange(1, 17, 1)y = np.array([4.00, 6.40, 8.00, 8.80, 9.22, 9.50, 9.70, 9.86, 10.00, 10.20, 10.32, 10.42,

import matplotlib.pyplot as pltimport numpy as npfrom scipy import interpolatex = np.linspace(0, 10, num=11, endpoint=True)y = np.cos(x)#分别使用 线性插值，三次样条插值法cubic，拉格朗日插值def interp(): f_linear = in

import pandas as pdimport numpy as npdf = pd.DataFrame({'key1': ['a', 'a', 'b', 'b', 'a'], 'key2': ['one', 'two', 'one', 'two', 'one'], 'data1': np.random.randn(5),

Python线性回归