In pandas, converting a series to a DataFrame is a straightforward process. 

pandas uses the **`to_frame()`** method to easily convert a series into a data frame.


# Syntax

```py
Series.to_frame(name=None)
```
**`name`**: 
* The passed name should substitute for the series name (if it has one).
* The fault is `None` 
* Returns the DataFrame representation of `Series`

# Code

Let's convert a pandas series `s` into a data frame and set the column name to `'Age'`:

import pandas as pd

s = pd.Series([25, 18, 40], name="vals")

df = s.to_frame(name="Age")

print(df)
print(type(df))

How to convert series to DataFrame in pandas

Using `to_frame()` in pandas converts a series to a DataFrame. Here's how to convert series `s` and name the column 'Age'.