There are several ways to retrieve certain rows or elements with a specific value from Pandas data frame.
We start by importing and read the data frame, I’ve used COVID 19 data from the worldmeter.info website
Here are a few of the best methods to extract specific values.
1. Filtering by using the equality operator (==) with the column name
From our data frame, let’s look for the rows that contain “North America” using the equality operator as in the following code:
We can also look for a specific country inside North America’s region by using the and operator (&), as in the following code:
2. Filtering using the equality operator (==) with df.values without specifying the column name
We can also look at multiple values using df.values as in the code below:
3. Filtering by using .isin( ) method
Since the .isin( ) method takes a list, we can check multiple values from the same column, as in the following code:
4. Using the .str.contains( ) method, which can be used only with string
Note:This method won’t work if we have null values, so we have to clean the data first.
5. Mapping using .map function which is used to apply a function to all elements of a sequence.
In this case, we will use .map function in the data frame to pass a lambda function to the Region column
