--- id: run-py title: Run Python code --- You can write custom Python code to interact with components and queries. To do that, you need to create a new query and select **Run Python code** from the available data sources.
Run Python code
## Using Python Code to Trigger Component Specific Actions - Drag a **Text** component onto the canvas. We will set the text on the Text component using the Python query. - Create a query and select **Run Python code** from the available data sources - Paste the below code in the code editor and save the query: ```python class Person: def __init__(self, name, age): self.name = name self.age = age def myfunc(self): return "Hello my name is " + self.name p1 = Person(tj_globals.currentUser.firstName, 36) components.text1.setText(p1.myfunc()) ``` - The above code has a function `myfunc` which returns a string and we are using a **[Component Specific Action](/docs/tooljet-concepts/component-specific-actions)** to set the Text Component's value from the Python query. :::tip - As of now, Run Python code only supports the [Python standard library](https://docs.python.org/3/library/). - Check **[RunPy Limitations](/docs/contributing-guide/troubleshooting/runpy-limitations)** to go through the limitations with using Python code ::: ## Trigger Queries To trigger queries in Python, you can use the below functions: ```py actions.runQuery('getSalesData') ``` ```py queries.getSalesData.run() ``` ## Using Transformations With Python **Run Python code** can be used to transform the data that is fetched in the queries. To test transformations using Python, create a new `REST API` query, leave the method as `GET` and enter the below url under the `URL` property. ```js https://dummyjson.com/products ``` Click on the **Run** button and check the preview of the returned data, below is the data structure of the response: ```js products_data = { "products": [ {"title": "iPhone 9", ...}, {"title": "iPhone X", ...}, # Additional products... ] } ``` #### Filter the titles from the response To extract a list of product titles from the given data structure, we iterate through the `products` list and collect each product's `title` using the below code. Enable `Transformations` in the Query Editor and use the below code: ```python return [product["title"] for product in data["products"]] ``` ### Filtering Products by Category To filter products by a specific category, such as "smartphones", and extract their titles. Enable `Transformations` in the Query Editor and use the below code: ```python return [product["title"] for product in data["products"] if product["category"] == "smartphones"] ``` ### Calculating Average Price of a Category To calculate the average price of products within the "laptops" category. Enable `Transformations` in the Query Editor and use the below code: ```python return sum(product["price"] for product in data["products"] if product["category"] == "laptops") / len([product for product in data["products"] if product["category"] == "laptops"]) if len([product for product in data["products"] if product["category"] == "laptops"]) > 0 else 0 ``` :::info Issues with writing custom Python code? Ask in our [Slack community](https://www.tooljet.com/slack). ::: ## Refer Python Query Data in Components Just like other dynamic values, you can refer the data returned by **Run Python code** queries using double curly braces`{{}}`. For instance, if you have a **Run Python code** query named *updatedProductInfo*, you can pass `{{queries.updatedProductInfo.data}}` under the `Data` property of a Table component to populate it with the data returned by the *updatedProductInfo* query.