Swarm plot points sometimes fail to display clearly in OpenAI-generated code

API Bugs
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1

Description:
When using OpenAI to generate Python code for Seaborn swarm plots, the resulting plots occasionally do not display data points clearly or at all. This happens despite proper data preparation and attempts to increase marker size or add jitter. The swarm plot may appear empty or overly cluttered, reducing the usefulness of the visualization.

Steps to Reproduce:

  1. Generate swarm plot code via OpenAI for a dataset with categorical and continuous variables.
  2. Execute the code in a Python environment with Seaborn and Matplotlib installed.
  3. Observe that swarm plot points are not visible or indistinguishable despite valid data.

Expected Result:
Swarm plots should accurately display individual data points with minimal overlap, reflecting the underlying data distribution.

Actual Result:
Data points are missing, overlap excessively, or the plot appears empty, even when data varies widely.

Workarounds Tried:

  • Increasing marker size (size parameter).
  • Verifying data contains valid numeric and categorical values.
    Code :

import seaborn as sns
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd

np.random.seed(0)
data = pd.DataFrame({
‘class’: np.random.choice([‘First’, ‘Second’, ‘Third’], 200),
‘fare’: np.random.exponential(scale=50, size=200)
})

plt.figure(figsize=(10, 6))
sns.swarmplot(data=data, x=‘class’, y=‘fare’, size=6)
plt.title(“Swarmplot Example”)
plt.show()

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