Pandas is a very popular python package for data manipulation. There are many functions in it that allow you to read, write, append, join dataframe e.t.c. Pandas iat  is one of them. It allows in getting a single value of the data in a specific location. In this entire tutorial you will know how to implement it with examples.
Syntax of the Pandas iat 
The syntax of the Pandas iat is below.
your_row: It is the position of the element in the row.
your_column: The position of the element in the column.
The method return single value from the specified location.
Examples on Pandas iat 
In this section, you will know the various examples of pandas iat method.
But before that lets create a sample dataframe where you will use this method.
Creation of Sample Dataframe
You can use your know data frame, excel, CSV files e.t.c. But Here I am creating a simple dataframe for more understanding.
You can create datafrme using pd.DataFrame()method. Let’s create it.
df = pd.DataFrame([[10, 20, 30], [40, 50,60], [70, 80, 90]], columns=['A', 'B', 'C'])
Now let’s implement the example.
Example 1: Accessing a specific element
Suppose I want to get the element 50 then I have to execute the following lines of code.
In the same way you can get the other elements of the dataframe.
Example 2: Change the element of a specific position
The above example was for accessing the element. Let’s change the value of the second row and the third column. Execute the below lines of code.
df.iat[1, 2] = 100 print(df)
Now if you print the data frame then you will get the datataframe with the changed value.
These are examples of how to use the Pandas iat method. Some readers have asked me about the difference between the iat and iloc. The answer is that iat returns only a single value but the iloc returns more than one value. I hope you have liked this tutorial. If you have any queries then you can contact us for more help.
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