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.