How can I filter all rows that have something1 followed by xyz and to store them in a separate pandas dataframe

Question

I have a data frame looking like below.

INPUT

col1    

0 something1
1 xyz
2 something1
3 abc
4 something1
5 xyz
6 something1
7 xyz

OUTPUT

col1    

0 something1
4 something1
6 something1

Answer 1

Create a new subset of your df filtering the value you want on col1

df_output = df[df['col1']== 'something1']

or if you want just a df with values grouped ie sorted then

data = {'col':["something1"
, "something2"
, "something1"
, "something3"
, "something1"
, "something2"
, "something1"
,"something2"]}

df = pd.DataFrame(data)

df.sort_values(by='col')


col
0   something1
2   something1
4   something1
6   something1
1   something2
5   something2
7   something2