pandas Vlookup

Pandas does not have a direct VLOOKUP function like in Excel, but you can achieve similar functionality using merge or join operations. The merge() function in pandas can be used to perform a VLOOKUP-like operation by joining two DataFrame objects based on a common column.

Here's an example of how you can use merge() to achieve the VLOOKUP functionality:

import pandas as pd

# Creating two sample DataFrames
df1 = pd.DataFrame({'A': [1, 2, 3, 4],
                    'B': ['a', 'b', 'c', 'd']})

df2 = pd.DataFrame({'A': [1, 3],
                    'C': ['x', 'y']})

# Performing VLOOKUP-like operation
result = pd.merge(df1, df2, on='A', how='left')

print(result)

In this example, we have two DataFrames: `df1` and `df2`. We want to perform a VLOOKUP on column A of `df1` using `df2`. After merging, the result DataFrame will include all columns from `df1` and the matching values from `df2` based on the common column 'A'.

Note that the `how` parameter in the merge() function specifies the type of join operation ('left' in this case), just like how VLOOKUP can be performed with different types of matching in Excel.

You can refer to the pandas documentation for more information on merge(): https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.merge.html