[FIXED] Filter in one line of code and show only certain columns

Issue

I have a problem. On the one hand, I would like to filter or select my dataframe and on the other hand, I would like to output only certain columns directly. I can't find anything (maybe I'm missing the terms). Is there an option to filter directly in pandas in only one row and at the same time output only certain columns?

import pandas as pd
d = {'id': [1, 2, 3, 4, 5, 1],
     'name': ['Max Power', 'Jessica', 'Xi', 'Jackson', 'Frank', 'Miller'],
     'secondName': ['Full', 'Miller', 'Hu', 'Johnny', 'High', 'Joachim'],
    }
df = pd.DataFrame(data=d)
display(df)

df_new = df[df['id'] == 1]
display(df_new[['id', 'name']])

# df_new = df[['id', 'name'], df['id'] == 1] # TypeError Name: id, dtype: bool)' is an invalid key

[OUT]

id  name    secondName
0   1   Max Power   Full
1   2   Jessica Miller
2   3   Xi  Hu
3   4   Jackson Johnny
4   5   Frank   High
5   1   Miller  Joachim
id  name
0   1   Max Power
5   1   Miller

What I want

df[df['id'] == 1, ['id','name']]
id  name
0   1   Max Power
5   1   Miller

Solution

Use DataFrame.loc - first is defined boolean mask and then list of columns names:

print(df.loc[df['id'] == 1, ['id','name']])
   id       name
0   1  Max Power
5   1     Miller

Answered By - jezrael