To create a subset of a Pandas DataFrame, you can use the indexing operator
 and provide the desired columns or a condition based on the values of one or more columns.
Here's an example:
import pandas as pd df = pd.read_csv('data.csv') # Selecting specific columns subset = df[['column1', 'column2']] # Selecting rows based on a condition subset = df[df['column3'] > 0.5]
In the first example, the subset contains only the columns
column2 of the original DataFrame
df. In the second example, the subset contains only the rows of
df where the value of
column3 is greater than 0.5.
You can also use the
.iloc methods to select subsets of a DataFrame based on labels and integer positions, respectively.