The **`iat` method** in pandas is used to get a single value from a dataframe based on the row and column index. The `iat` function needs two parameters: the *row* and *column* index.

It then returns the value of the specified index. 

The illustration below shows how `iat` method works in pandas:

# Syntax

The syntax of the `iat` method is as follows:
```python
Dataframe.iat[row, column]
```

# Parameters

The `iat` method takes a row index and a column index.

# Return value

The `iat` method returns the value at the corresponding row and column index.

# Errors

An error is raised if the parameters passed as the row and column indexes are out of bounds or not present in the dataframe.

# Example

The code snippet below shows how the `iat` method works in pandas:

> We can also use the `iat` method to assign a value on a particular index. This is shown in *line 14*:



import pandas as pd

df = pd.DataFrame([[0, 2, 3], [0, 4, 1], [10, 20, 30]],
    columns=['A', 'B', 'C'])

print("Original Dataframe")
print(df)
print('\n')

print("Get a value")
print(df.iat[1, 2])
print('\n')

df.iat[1, 2] = 10
print("New Dataframe")
print(df)

What is the iat method in pandas?

The iat method in pandas retrieves or sets a single value in a dataframe using specific row and column indices.