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

It then returns the value of the specified position.

> The `at` method is similar to the [`loc`](https://www.educative.io/answers/what-is-loc-in-pandas) method since it supports label-based indexing.

The illustration below shows how the `at` method works in pandas:

# Syntax

The syntax of the `at` method is as follows:
```python
Dataframe.at[rowIndex, columnLabel]
```

# 
## Parameters

The `at` method takes a `rowIndex` and a `columnLabel`.

## Return value

The `at` method returns the value at the corresponding position.

# Errors

The key error is raised if the parameters passed as row index and column labels are out of bound or not present in the dataframe.

# Example

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

> We can also use the `at` 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.at[1, 'B'])
print('\n')

df.at[1, 'C'] = 10
print("New Dataframe")
print(df)

What is the at method in pandas?

The at method retrieves/assigns a single dataframe value using row index and column name in pandas.