[Proposal] General Chart Import

[ObservedObserver]

Example: import a plotly chart in python

import plotly.express as px
import pandas as pd
import numpy as np

# Create sample data
np.random.seed(42)
df = pd.DataFrame({
    'A': np.random.normal(0, 1, 100),
    'B': np.random.normal(5, 2, 100)
})

# Create scatter plot
fig = px.scatter(df, x='A', y='B', 
                 title='Scatter Plot of Column A vs Column B',
                 labels={'A': 'Column A Value', 'B': 'Column B Value'},
                 opacity=0.7,
                 color_discrete_sequence=['blue'])

# Customize the scatter plot
fig.update_traces(marker=dict(size=10))
fig.update_layout(
    width=800,
    height=600,
    template='plotly_white',
    xaxis=dict(showgrid=True),
    yaxis=dict(showgrid=True)
)

# Show the plot
fig.show()

# Optionally, save the plot as HTML
# fig.write_html("scatter_plot.html")

# Edit/Explore in PyGWalker
import pygwalker as pyg
pyg.walk(df, viz=fig)

After editing in pygwalker, users can click the 'export' button and export as Plotly code, which will be automatically inserted in cells below.