How to Select Multiple Columns in a Pandas Dataframe?
To select multiple columns in a Pandas dataframe, you can pass a list of column names to the indexing operator []:
import pandas as pd
# create sample dataframe
data = {
'name': ['Alice', 'Bob', 'Charlie'],
'age': [25, 30, 35],
'gender': ['F', 'M', 'M'],
'height': [160, 175, 180]
}
df = pd.DataFrame(data)
# select specific columns
subset = df[['name', 'age', 'gender']]
print(subset)
Output:
name age gender
0 Alice 25 F
1 Bob 30 M
2 Charlie 35 M