feat: Support Point Plot

[Bhoomika2905]

Feature Request

Description

We need to support point plots (sns.pointplot) as part of the Seaborn Cartesian plot enhancements.
A point plot shows the mean of a quantitative variable for one or more categories, with optional confidence intervals. It is particularly useful for visualizing estimated central tendencies and their uncertainty across groups.

Proposed Solution

Below is a simple example demonstrating how a point plot works:

import seaborn as sns
import matplotlib.pyplot as plt

tips = sns.load_dataset("tips")

sns.pointplot(
    x="day",
    y="total_bill",
    hue="sex",
    data=tips,
    dodge=True,
    markers=["o", "s"],
    capsize=.1,
    errwidth=1
)

plt.xlabel("Day of the Week")
plt.ylabel("Average Total Bill ($)")
plt.title("Seaborn Point Plot Example")
plt.tight_layout()
plt.show()

Checklist

• [ x ] I have searched for similar feature requests and confirmed that this is a new request.
• [ x ] I have provided a clear and concise description of the feature.
• [ x ] I have explained the motivation behind this feature request.
• [ x ] I have outlined a proposed solution or ideas for implementing this feature.
• [ x ] I have provided any additional context or screenshots if applicable.