ToolJet/docs/versioned_docs/version-2.33.0/how-to/import-external-lib-py.md

id	title
import-external-libraries-using-runpy	Import External Libraries Using RunPy

ToolJet allows you to utilize python packages in your app by importing them using the RunPy query. In this how-to guide, we will import a few packages and use them in the application.

:::caution Unsupported modules Modules with C/C++ extensions needing system libraries won't work in Pyodide, as it runs in a web browser without system library access. Pyodide, based on WebAssembly-compiled Python, also doesn't support certain system calls. :::

• Start by creating a new application in ToolJet.
• From the Query Panel, add a new RunPy query - it will be named runpy1 by default.

• Use micropip to install packages like Pandas and NumPy. Run the query to complete installation.

import micropip
await micropip.install('pandas')
await micropip.install('numpy')

• Enable Run this query on application load? to make these packages available every time the application loads.

Generating Random Numbers with NumPy

• Create a RunPy query using NumPy's random module to generate random numbers.

from numpy import random
x = random.binomial(n=10, p=0.5, size=10)
print(x)

You can check the output on the browser's console.

Parse CSV data

• Create a RunPy query to parse CSV data using StringIO, csv, and Pandas module.

from io import StringIO
import csv
import pandas as pd

scsv = components.filepicker1.file[0].content

f = StringIO(scsv)
reader = csv.reader(f, delimiter=',')

df = pd.DataFrame(reader)

print(df.info())
print(df)

• Add a File Picker component on the canvas
• Select On File Loaded as the Event and Run Query as the Action.
• Select the query we just created as the Query.

• Finally, load a csv file on the File Picker component, Run related RunPy query and check the output on the browser console.