Loc in Pandas

“We use loc in Pandas in Python, which has various features, but let's discuss four main points of loc:

Find Element

1. Finding a Specific Element: By using loc, we can find any element in a DataFrame by passing its row and column indices. For example, in the image below, we find a specific value in the DataFrame using the loc method."

Range of Row and column

Filtering Specific Rows and Columns: With loc, we can filter specific rows and columns. We specify the rows we need to retrieve and the range of columns and row we want to select.” for example in this dataframe we used loc method to define range of row and column

Get Value on specific condition

Using loc, we can select rows that meet a specific condition, such as when the value in column 'A' is greater than 3. In the code below, it selects only those rows where the value in column 'A' is greater than 3."

Update Column Value on Specific condition

Further ,You can use loc to both filter rows based on a condition and update values in specific columns where that condition is true. Here's an example to illustrate this: