Here is how to select multiple columns in a Pandas dataframe in Python.

To select multiple columns in a Pandas DataFrame, you can pass a list of column names to the indexing operator '[]'. Here are a few examples:

import pandas as pd

# create a sample DataFrame
df = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6], 'C': [7, 8, 9]})

# select columns A and B
df_AB = df[['A', 'B']]
print(df_AB)

   A  B
0  1  4
1  2  5
2  3  6

2. Selecting multiple columns by index:

# select the first and third columns
df_13 = df.iloc[:, [0, 2]]
print(df_13)

   A  C
0  1  7
1  2  8
2  3  9

# select columns A and B using a slice
df_AB_slice = df.loc[:, 'A':'B']
print(df_AB_slice)

   A  B
0  1  4
1  2  5
2  3  6