Getting the positions where values of two columns match in Pandas means finding the indices of the rows in a Pandas DataFrame where the values of two specific columns are equal. Here are some methods to get the positions where values of two columns match in Pandas:

#### 1. Using the "loc" method:

It uses boolean indexing to create a mask that is `True`

where values of columns A and B match, and then uses the `loc`

method to select the rows where the mask is `True.`

Finally, we extract the indices of these rows using the `index`

attribute.

##### Example:

#### 2. Using the "query" method:

It uses the `query`

method with a string expression that compares columns A and B. The query method returns a dataframe containing only the rows where the expression is true, and we extract the indices of these rows using the `index`

attribute.

##### Example:

#### 3. Using the "NumPy" module:

This method uses the `NumPy`

module to create a mask that is `True`

where values of columns A and B match, and then uses boolean indexing to select the rows where the mask is True . Finally, we extract the indices of these rows using the `index`

attribute.