Added Pandas Fill NA Scalar Int/Float nodes.

2025-02-20 14:50:21 -08:00
parent fff4b58abb
commit 4dba94c46e
7 changed files with 137 additions and 1 deletions
@@ -38,6 +38,8 @@
 | --- | --- |
 | [Pandas Drop Duplicates](pandas_drop_duplicates.md) | Drops duplicate rows from a Pandas DataFrame. |
 | [Pandas Drop NA](pandas_dropna.md) | Drops missing values from a pandas DataFrame. |
+| [Pandas Fill NA Scalar Float](pandas_fillna_scalar_float.md) | Replaces missing values in a Pandas DataFrame with a floating-point number. |
+| [Pandas Fill NA Scalar Int](pandas_fillna_scalar_int.md) | Replaces missing values in a Pandas DataFrame with an integer. |
 | [Pandas Is NA](pandas_isna.md) | Checks a pandas DataFrame for missing values. |
 | [Pandas Replace](pandas_replace.md) | Replaces part or all of a string in each DataFrame cell with a specified string using a wildcard for matching.  If you want to remove some characters, then leave the replace_string field blank. |
 ## Data subset selection
@@ -0,0 +1,20 @@
+# 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 |
+
+<HR>
+Category: Data cleansing
+
+ComfyUI Data Analysis Node Reference. © 2025 Hide Inada (HowToSD.com). All rights reserved.
@@ -0,0 +1,18 @@
+# Pandas Fill NA Scalar Int
+Replaces missing values in a Pandas DataFrame with an integer.
+
+## Input
+| Name | Data type |
+|---|---|
+| dataframe | DataFrame |
+| int_scalar | Int |
+
+## Output
+| Data type |
+|---|
+| DataFrame |
+
+<HR>
+Category: Data cleansing
+
+ComfyUI Data Analysis Node Reference. © 2025 Hide Inada (HowToSD.com). All rights reserved.