使用Python从数据框中删除仅具有单个单词的列值

Question

I am new to programming. I have a DataFrame shown in as below:

Col-2               Col-3
have a account      A
account summary     B
Cancel              C
Both                D
Update credit card  E
Block Credit card   F

I need my output as:

Col-2               Col-3
have a account      A
account summary     B
Update credit card  E
Block Credit card   F

Means I need those values where Col-2 is having more than one word. Single word present in Col-2 should be removed. Both and Cancel are single words, that's why those rows have been removed from the output.

Answer 1

A list comprehension here can be faster than pandas str methods. Use it to get the length of each value in Col-2 after you split it, and index your dataframe by whether that length is greater than 1:

>>> df[[len(i.split())>1 for i in df['Col-2'].values]]

                Col-2 Col-3
0      have a account     A
1     account summary     B
4  Update credit card     E
5   Block Credit card     F