Dashboard Plotly Scatter

Category: Mega-Polis → Visualisation → Visualisation Data Tools
Node ID: SvMegapolisDashboardPlotlyScatter
Tooltip: Dashboard Plotly Scatter
Dependencies: Outputs a Plotly Express snippet (expects pandas as pd, plotly.express as px, and optionally streamlit as st in the execution environment).

Functionality

Generates a Python code snippet (string) that creates a Plotly Express scatter plot from an input DataFrame.

The node: 1. Serialises the input DataFrame (df.to_json()). 2. Reconstructs it inside the snippet using pd.DataFrame.from_dict(...). 3. Calls px.scatter(...) with the provided feature names. 4. Assigns the result to a figure variable. 5. Optionally prepares it for dashboard rendering (e.g., via Streamlit).

It does not render the chart inside Blender/Sverchok — the output must be executed in your dashboard runtime.

Inputs

Socket Type Description
Figure Name SvStringsSocket Name of the Plotly figure variable to create (e.g., fig_scatter). Must be linked.
Dataframe SvStringsSocket Input Pandas DataFrame. Must be linked.
X Feature SvStringsSocket Column name used for X axis. Must be linked.
Y Feature SvStringsSocket Column name used for Y axis. Must be linked.

All inputs must be linked for the node to execute.

Parameters

Name Type Default Description
color String None Optional column name for colour encoding.
size String None Optional column name for marker size.
title String “Scatter Plot” Plot title.

Outputs

Socket Type Description
Dashboard Plotly Scatter SvStringsSocket Python code snippet that creates the scatter plot figure.

Example

Create a scatter plot of height vs area

Inputs:

  • Figure Name → "fig_scatter"
  • Dataframe → DataFrame containing height and area
  • X Feature → "height"
  • Y Feature → "area"

Output snippet (conceptually):

fig_scatter_df = pd.DataFrame.from_dict(<json_data>)
fig_scatter = px.scatter(
    fig_scatter_df,
    x="height",
    y="area",
    title="Scatter Plot"
)

You can then display it using:

st.plotly_chart(fig_scatter, use_container_width=True)

Notes / gotchas

  • This node outputs code, not a Plotly object.

  • All column names must exist in the DataFrame.

  • If color or size columns are provided, they must also exist in the DataFrame.

  • For large DataFrames, JSON serialisation may generate large code strings.

  • Requires the execution environment to import:

    import pandas as pd
import plotly.express as px