根据包含字符串的列（2 个定义的条件）从另一个数据帧创建 dataframe

Question

Iam trying to compile some of the columns in df1 to a new dataframe df2.

the columns will be selected based on the following conditions:

1. if word 'COORDINATES' is in the column

2. if word 'ID' is in the column

Here is the code I tried:

df1 = pd.read_csv(csvpath) #table as below

cols = [col for col in df1.columns if  'Coordinates' and 'ID' in col]

df2=df1[cols]

However the conditions are only being applied for the last item in cols= (in this case its only extracting ID and ignoring coordinates)

How do i edit the above code to include both Coordinates and ID (I could just drop the unwanted columns however the dataset im dealing with is large and hence i need to do it in such a way similar to what i defined above)

much appreciated your help on this.

Original Table (df1)

Required Output(df2)

Answer 1

I think this should work

cols = [col for col in df1.columns if  'Coordinates' in col or 'ID' in col]