基于pandas中expand的作用详解

expand表示是否把series类型转化为DataFrame类型下面代码中的ｎ表示去掉下划线"_"的数量

代码如下：

import numpy as np import pandas as pd s2 = pd.Series(['a_b_c_f_j', 'c_d_e_f_h', np.nan, 'f_g_h_x_g']) print("-----------------------------------") print(s2.str.split('_')) print("-----------------------------------") print(s2.str.split('_').str.get(1)) print("-----------------------------------") print(s2.str.split('_').str[1]) print("---------------expand=True--------------------") expand1=s2.str.split('_', expand=True) print(expand1) print(type(expand1)) print("---------------expand=False--------------------") expand2=s2.str.split('_', expand=False) print(expand2) print(type(expand２)) print("##########################################################") print("---------------expand=True,n=1--------------------") expand1=s2.str.rsplit('_', expand=True,n=1) print(expand1) print("---------------expand=False,n=1--------------------") expand2=s2.str.rsplit('_', expand=False,n=1) print(expand2)

运行结果如下：

-----------------------------------0 [a, b, c, f, j]1 [c, d, e, f, h]2 NaN 3 [f, g, h, x, g]dtype: object-----------------------------------0 b 1 d 2 NaN 3 g dtype: object-----------------------------------0 b 1 d 2 NaN 3 g dtype: object---------------expand=True--------------------0 1 2 3 4 0 a b c f j 1 c d e f h 2 NaN NaN NaN NaN NaN 3 f g h x g---------------expand=False--------------------0 [a, b, c, f, j]1 [c, d, e, f, h]2 NaN 3 [f, g, h, x, g]dtype: object##########################################################---------------expand=True,n=1--------------------0 1 0 a_b_c_f j 1 c_d_e_f h 2 NaN NaN 3 f_g_h_x g---------------expand=False,n=1--------------------0 [a_b_c_f, j]1 [c_d_e_f, h]2 NaN 3 [f_g_h_x, g]dtype: object[Finished in 0.4s]以上这篇基于pandas中expand的作用详解就是小编分享给大家的全部内容了，希望能给大家一个参考，也希望大家多多支持脚本之家。

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