how to merge two table in python

To merge two tables in Python, you can use the merge function provided by the pandas library. The merge function combines rows from two tables based on one or more common columns.

Here is an example of how to merge two tables using pandas:

import pandas as pd

# Create two example tables
table1 = pd.DataFrame({'key': ['A', 'B', 'C', 'D'], 'value1': [1, 2, 3, 4]})
table2 = pd.DataFrame({'key': ['B', 'D', 'E', 'F'], 'value2': [5, 6, 7, 8]})

# Merge the tables based on the 'key' column
merged_table = pd.merge(table1, table2, on='key')

# Print the merged table
print(merged_table)

Output:

  key  value1  value2
0   B       2       5
1   D       4       6

In this example, we first created two tables called table1 and table2. We then used the merge function to merge the tables based on the key column. The resulting merged table contains only the rows that have matching key values in both tables.

Note that the merge function can also handle more complex merging scenarios, such as merging on multiple columns or merging with different types of join operations. For more information, check out the pandas documentation on merging: https://pandas.pydata.org/pandas-docs/stable/user_guide/merging.html