self improve compare excel files best match in python

To find the best match between two Excel files in Python, you can use the pandas library to read the Excel files and compare them. Here is a code snippet that compares two Excel files and returns the best match.

main.py
import pandas as pd

# Read the first Excel file
df1 = pd.read_excel('file1.xlsx', index_col=None)

# Read the second Excel file
df2 = pd.read_excel('file2.xlsx', index_col=None)

# Merge the two dataframes and drop duplicates
merge_df = pd.concat([df1, df2], ignore_index=True)
merge_df.drop_duplicates(inplace=True)

# Find the row with the best match
best_match = merge_df.loc[merge_df.duplicated(subset=list(df1.columns), keep=False)]

# Print the best match
print(best_match)
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Explanation:

1. Use pandas library to read the two Excel files and store them in two data frames df1 and df2.
2. Concatenate the two data frames using pd.concat and drop any duplicates using drop_duplicates.
3. Find the row with the best match by looking for duplicates in merge_df on columns that match df1. Keep only the duplicates that appear in both df1 and df2.
4. Store the best match row in best_match.
5. Print the best match row.

Note that this code assumes that the two Excel files have identical columns. If the columns are not identical, then you will need to modify the code to identify which columns to compare.