#构造数据
data = [['Var1','Var2','1','2','3'],['Var1','Var2','1.1','1.2','1.3'],['Var1','Var2','10','11','12'],['Var1','Var2','20','25','30']]
df = pd.DataFrame(data,columns=['Var1','Var2','x','y','z'],dtype=float)
#定义log函数
def log(base,x):
return np.log(x)/np.log(base)
#对df.x这一列数据进行底数为10的对数计算,运算结果生成一列新数据w
df['w']=log(10,df.x)
02-01
588

02-19
280

08-19
1842

10-14
3820
