# Pandas Fill NA Scalar Float
Replaces missing values in a Pandas DataFrame with a floating-point number.

To set the value, use **the CDA Float Create node** to define the floating-point number and connect it to this node's float_scaler input. Alternatively, you can enter the value directly in this node, but it currently supports only one decimal digit.

## Input
| Name | Data type |
|---|---|
| dataframe | DataFrame |
| float_scalar | Float |

## Output
| Data type |
|---|
| DataFrame |

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Category: Data cleansing

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