Specific values in R and Python

I worked with R very smoothly but now I want to work with Python. I have numerical values and into a data frame and now I want to filter specific values. I tried to find solution with other examples but unfortunately, I did find a useful example. Much of example are with strings not with specific numbers.
So first I want to show an example from R, these lines of code work very well.

  filtered_data<-filtered_data<-%>%
              dplyr::filter(items %in% c("2","3","4","5","6","7","14","20","19","23"))

Now I want to replicate these lines of code into Python and I try to do this

filtered_data<-source_data['items']==2,3,4,5,6,7,14,20,19,23]

So can anybody help me with how to filter these specific values in Python?

>Solution :

Use Pandas and isin:

filtered_data = source_data[source_data['items'].isin([2,3,4,5,6,7,14,20,19,23])]
print(filtered_data)

# Output
   items
1     19
3      3
4     20
9      5

Setup a MRE:

import pandas as pd
import numpy as np

source_data = pd.DataFrame({'items': np.random.randint(1, 25, 10)})
print(source_data)

# Output
   items
0     12
1     19
2     22
3      3
4     20
5     21
6     10
7     22
8     11
9      5