how to find the common values between two different sizes of dataframe

To find the common values between two different-sized DataFrames in Python, you can use the `merge()` function from the pandas library. The `merge()` function combines two DataFrames based on common values in specified columns. Here's an example:

import pandas as pd

# Create two example DataFrames
df1 = pd.DataFrame({'A': [1, 2, 3], 'B': [4, 5, 6]})
df2 = pd.DataFrame({'A': [2, 3, 4], 'C': [7, 8, 9]})

# Find common values between the two DataFrames
common_values = pd.merge(df1, df2, on='A')

print(common_values)

Output:

   A  B  C
0  2  5  7
1  3  6  8

In the above code, we merge `df1` and `df2` based on the common values in column `'A'`. The result is a new DataFrame `common_values` that contains rows with common values in column `'A'`. The resulting DataFrame includes the columns from both `df1` and `df2`.