Added Pandas Is NA and Pandas Drop NA nodes.
This commit is contained in:
Binary file not shown.
|
After Width: | Height: | Size: 88 KiB |
+11
@@ -52,6 +52,12 @@ You can right-click, select **Add Node**, go to **Data Analysis**, and look for
|
||||
| **Pandas Show Text** | Display Text |
|
||||
| **Pandas Summary** | Extract DataFrame statistics |
|
||||
|
||||
**Missing value processing**
|
||||
| Node Name | Functionality |
|
||||
|-------------------------|-------------------------------------|
|
||||
| **Pandas Is NA** | Check DataFrame for missing values |
|
||||
| **Pandas Drop NA** | Drop missing values from DataFrame |
|
||||
|
||||
**Converting to displayable string**
|
||||
| Node Name | Functionality |
|
||||
|-------------------------|-------------------------------------|
|
||||
@@ -173,6 +179,11 @@ The workflow file examples/workflows/join.json contains all of the above cases.
|
||||
## Extract the first few rows
|
||||
Use **Pandas Head**.
|
||||
|
||||
## Missing value processing
|
||||
Use **Pandas Is NA** for checking DataFrame for missing values, and **Pandas Drop NA** for dropping missing values from DataFrame.
|
||||
|
||||

|
||||
|
||||
## Display text ##
|
||||
Use **Pandas Show Text** node.
|
||||
|
||||
|
||||
Reference in New Issue
Block a user