Data frame 和 series 的运算： 横列相加减：按照index ，row 的方向直接相加减。frame-series 纵列相加减:按照 columns，运用算术函数，相加减。
frame.sub(series3, axis=0)
'''operation between data frame and series ''' import numpy as np from pandas import Series, DataFrame arr = np.arange(12.).reshape((3, 4)) print(arr) print("arr[0]:") print(arr[0]) print("arr-arr[0]:") print(arr-arr[0]) print("Operation between data frame and series") frame = DataFrame(np.arange(12.).reshape((4, 3)), columns=list('bde'), index=['Utah', 'Ohio', 'Texas', 'Oregon']) series = frame.ix[0] print("frame is \n", frame) print("series is \n", series) print("frame-series: \n", frame-series) series2 = Series(range(3), index=['b', 'e', 'f']) print("if an index value is not found in either the DataFrame's columns or the Series' index") print("series2:\n", series2) print("frame+series2:\n", frame+series2) series3 = frame['d'] print("frame is \n", frame) print("series3 is \n", series3) print("if you want to instead broadcast over the columns,matching on the rows,you have to use one columns: ") print("frame.sub(series3,axis=0: \n", frame.sub(series3, axis=0)) 转载地址：https://blog.csdn.net/weixin_30677617/article/details/96575248 如侵犯您的版权，请留言回复原文章的地址，我们会给您删除此文章，给您带来不便请您谅解！
