如何使用列名中的空格在 Pandas 数据框列中进行搜索

Question

If I need to search if a value exists in a pandas data frame column , which has got a name without any spaces, then I simply do something like this

if value in df.Timestamp.values

This will work if the column name is Timestamp. However, I have got plenty of data with column names as 'Date Time'. How do I use the if in statement in that case? If there is no easy way to check for this using the if in statement, can I search for the existence of the value in some other way? Note that I just need to search for the existence of the value. Also, this is not an index column.

Thank you for any inputs

Answer 1

It's better practice to use the square bracket notation:

df["Date Time"].values

Which does exactly the same thing

Answer 2

There are 2 ways of indexing columns in pandas. One is using the dot notation which you are using and the other is using square brackets. Both work the same way.

if value in df["Date Time"].values

Answer 3

in the case where you want to work with a column that has a header name with spaces but you don't want it changed because you may have to forward the file ...one way is to just rename it, do whatever you want with the new no-spaced-name, them rename it back...# eg to drop the rows with the value "DUMMY" in the column 'Recipient Fullname'

df.rename(columns={'Recipient Fullname':'Recipient_Fullname'}, inplace=True) 
df = df[(df.Recipient_Fullname != "DUMMY")]   
df.rename(columns={'Recipient_Fullname':'Recipient Fullname'}, inplace=True)