How to Filter Pandas DataFrame Rows Based on a List of Values?

Filtering DataFrame Rows by Values in a Set List

In Python pandas, you can filter rows based on whether the value in a specific column is present in a given set of values. To achieve this, you can utilize the isin method, as follows:

import pandas as pd

# Create a sample DataFrame
rpt = pd.DataFrame({
    'STK_ID': ['000002', '600809', '600141', '600329', '603366'],
    'STK_Name': ['Company A', 'Company B', 'Company C', 'Company D', 'Company E'],
    'RPT_Date': ['20120331', '20120331', '20120331', '20120331', '20091231'],
    'sales': [100, 200, 300, 400, 500]
})

# Define the list of stock IDs to filter
stk_list = ['600809', '600141', '600329']

# Filter rows using the `isin` method
filtered_rows = rpt[rpt['STK_ID'].isin(stk_list)]

# Print the filtered DataFrame
print(filtered_rows)

Output:

   STK_ID   STK_Name RPT_Date  sales
0   600809  Company B 20120331     200
1   600141  Company C 20120331     300
2   600329  Company D 20120331     400

The isin method checks if the values in the specified column (in this case, 'STK_ID') are contained in the provided list (stk_list). Rows that meet this condition are retained in the filtered DataFrame.

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