import numpy as np
# Generate random data
np.random.seed(42) # for reproducibility
random_x = np.random.rand(100) * 10 # 100 random numbers between 0 and 10
random_y = np.random.rand(100) * 10 # 100 random numbers between 0 and 10
# Create a scatter trace
scatter_trace = go.Scatter(
 x=random_x,
 y=random_y,
 mode='markers', # Display markers for each data point
 marker=dict(size=8, color='blue', opacity=0.7) # Customize marker appearance
)
# Create a Figure object and add the trace
fig = go.Figure(data=[scatter_trace])
# Update layout (optional)
fig.update_layout(
 title='Random Scatter Plot (go.Figure)',
 xaxis_title='X-axis',
 yaxis_title='Y-axis'
)
# Display the plot
fig.show()
fig.write_json("test1.json")

from plotly.io import read_json
content = read_json("test1.json")
# content = read_json("test1.json", skip_invalid="True")
content.show()

 Invalid value of type 'builtins.dict' received for the 'x' property of scatter
 Received value: {'dtype': 'f8', 'bdata': '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'}
 The 'x' property is an array that may be specified as a tuple,
 list, numpy array, or pandas Series