How do pandas select rows based on conditions?

In Pandas, boolean indexing can be used to select rows based on conditions.

For example, suppose there is a DataFrame named df that contains the following data:

   A  B  C
0  1  4  7
1  2  5  8
2  3  6  9

To select rows that meet the criteria, you can use one of the following methods:

1. “Utilize boolean indexing:”
2. Select rows from the dataframe where the value in column ‘A’ is greater than 1.
3. The above code will return all rows that meet the condition df[‘A’] > 1.
4. Utilize the loc method:
5. filter the DataFrame rows where the value in column ‘A’ is greater than 1
6. This method will return all rows that satisfy the condition df[‘A’] > 1.

You can choose any method and select actions based on different conditions, then proceed with further operations as needed.