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# Script
If you intend to employ Python code within the dataflow for data transformation before exporting it from CDP 365, this document will be beneficial to you.
## Step 1: Add the Script node to your dataflow
For reference to the node, please consult the image provided below:
Add the Script node
***Note:** After the Script node cannot add another node.*
## Step 2: Write your Python code
It has 3 zones:
* Zone **1** outlines the attributes prepared for transformation
* Zone **2** places your Python code within it
* Zone **3** involves modifying the coding theme and default fields of CDP 365.
Write Python code
For reference to the transforming result, please consult the code below:
```python
import pandas
import sys
# Load data from system
df = pandas.read_csv(sys.argv[1])
# The following code to create a dataframe and remove duplicated rows is always executed and acts as a preamble for your script:
dataset = pandas.DataFrame(df)
dataset = dataset.drop_duplicates()
# Paste or type your script code here:
print(dataset)
```
## Step 3: Preview the transformed data
Before executing the code, it's essential to preview it beforehand to **ensure that the data is prepared for transformation within the Script node**.
Kindly click the "**Preview**" button for this purpose.
Preview the data
## Step 4: Test the Script node
Once you've successfully previewed the data and confirmed its accuracy, you can proceed to run the code. Kindly click the "**Test**" button to do so.
Run the code
## Step 5: Check the running status
Upon executing the code, a banner will appear from the **lower-left corner** of your screen. Kindly inspect this banner to monitor the **status** of the execution.
### In case of successful running
Success test
### In case of failed running
Failed test
***Note:** After the Script node cannot add another node.*
---
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