尝试：

df['Numbers2']=''  #empty string

df['Numbers2']=np.nan #nan

简单地分配一个“空”值（NaN，空字符串，None，任何你想要的）：

df['Numbers2'] = float('NaN')

输出：

Numbers1  Numbers2 Numbers3 Numbers4 Numbers5
0     five       NaN    three      two      two
1      six       NaN    eight     nine      ten
2     nine       NaN     four      two      two
3    seven       NaN     five    three      one

使用空字符串：

df['Numbers2'] = ''

  Numbers1 Numbers2 Numbers3 Numbers4 Numbers5
0     five             three      two      two
1      six             eight     nine      ten
2     nine              four      two      two
3    seven              five    three      one

用空字符串更新它

df['Numbers2']=""

首先，可以删除带有df = df.drop('Numbers2', axis=1)的列
其次，将列替换为df['Numbers2'] = ""