DataFrame Vis

Category: Mega-Polis → Visualisation → Visualisation Data Tools
Node ID: SvMegapolisDataframeVis
Tooltip: DataFrame Visualisation
Dependencies: pandas (for DataFrame handling), streamlit (for rendering in dashboard runtime)

Functionality

Generates a Python code snippet (string) that visualises a Pandas DataFrame in a dashboard environment (typically Streamlit).

The node:

  1. Serialises the input DataFrame.
  2. Reconstructs it inside the generated snippet.
  3. Displays it using a dashboard-compatible display method (e.g., st.dataframe() or st.write()).

This node does not render the table inside Blender/Sverchok. It outputs code intended to be executed in a dashboard environment.

Inputs

Socket Type Description
Dataframe SvStringsSocket Input Pandas DataFrame to visualise. Must be linked.

Parameters

Name Type Default Description
Height Int 400 Display height for the DataFrame in the dashboard.
Width Int 800 Display width for the DataFrame in the dashboard.

Outputs

Socket Type Description
Dashboard Dataframe SvStringsSocket Python code snippet that displays the DataFrame in a dashboard runtime.

Example

Visualise a CSV dataset

  1. Use Read CSV to load a dataset.
  2. Connect CSV DF → Dataframe.
  3. Set:
    • Height → 500
    • Width → 1000
  4. The output will resemble:
df_vis = pd.DataFrame.from_dict(<json_data>)
st.dataframe(df_vis, height=500, width=1000)

Execute this in a Streamlit app to display the table interactively.

Notes / gotchas

  • This node outputs code only; it does not render inside Blender.
  • Requires Streamlit available in the execution environment:
import streamlit as st
  • Large DataFrames may impact dashboard performance.
  • Serialisation uses JSON conversion, which may affect complex data types.